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Publikováno v:
In Engineering Applications of Artificial Intelligence October 2024 136 Part B
Autor:
El Jaouhari, Saad, Bouvet, Eric
Publikováno v:
In Internet of Things May 2022 18
Akademický článek
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Autor:
El jaouhari, Saad
WebRTC est une technologie récente de communication qui permet d’établir des échanges multimédia conversationnels directement entre navigateurs. Nous nous intéressons dans cette thèse à des locuteurs dans un Smart Space (SS) défini comme un
Externí odkaz:
http://www.theses.fr/2018IMTA0120/document
Publikováno v:
Journal of Ambient Intelligence & Humanized Computing; Oct2021, Vol. 12 Issue 10, p9081-9096, 16p
Publikováno v:
In Managing the Web of Things 2017:389-424
Akademický článek
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Autor:
Amarilli, Fabrizio, Amigoni, Francesco, Anliker, Claudio, Babar, Muhammad Ali, Bahgat, Reem, Benatallah, Boualem, Bonnin, Jean-Marie, Booth, Kayla M., Bouabdallah, Ahmed, Cai, Hongming, Caione, Adriana, Capdepuy, Philippe, Chauhan, Muhammad Aufeef, Chelmis, Charalampos, De, Suparna, Eikey, Elizabeth V., El Jaouhari, Saad, Fiore, Alessandro, Fugini, Maria Grazia, Gerostathopoulos, Ilias, Gyrard, Amelie, Jamont, Jean-Paul, Khalfi, El-Mehdi, Khattab, Sherif, Le Sommer, Nicolas, Li, Xue, Mainetti, Luca, Manco, Luigi, Médini, Lionel, Moessner, Klaus, Mrissa, Michael, Ngu, Anne H.H., Occello, Michel, Patel, Pankesh, Prasanna, Viktor K., Prehofer, Christian, Qin, Yongrui, Saeed, Muhammad Rizwan, Schmitt, Corinna, Serrano, Martin, Shemshadi, Ali, Sheng, Quan Z., Stiller, Burkhard, Terdjimi, Mehdi, Touseau, Lionel, Trauth, Eileen M., Vasilakos, Athanasios V., Vergallo, Roberto, Wang, Xianzhi, Yao, Lina, Younan, Mina, Zarri, Gian Piero, Zhou, Yuchao
Publikováno v:
In Managing the Web of Things 2017:ix-xiii
Autor:
EL Jaouhari, Saad1 saad.eljaouhari@imt-atlantique.fr, Jose Palacios-Garcia, Emilio2 epg@et.aau.dk, Anvari-Moghaddam, Amjad2 aam@et.aau.dk, Bouabdallah, Ahmed1 ahmed.bouabdallah@imt-atlantique.fr
Publikováno v:
Sensors (14248220). Feb2019, Vol. 19 Issue 3, p481. 1p.
Publikováno v:
Cho, Alvaro Baik; Rodrigues, Luciano Miller Reis; Nicolau, Rodrigo Junqueira; Rugiero, Gustavo Mantovani; Fukushima, Walter Yoshinori; Milani, Carlo (2008) Treatment of hardware exposure after severe infections in spine surgery with pedicled muscular flaps. En: Clinics. Vol. 63; pp. 277-280; SciELO Brasil
Solano, Alfredo Jose Sanabria (2021) Imagen de los movimientos de la mano.
Kantor, Pierre; Matonti, Frédéric; Varenne, Fanny; Sentis, Vanessa; Pagot-Mathis, Véronique; Fournié, Pierre; Soler, Vincent (2021) Use of the heads-up NGENUITY 3D Visualization System for vitreoretinal surgery: a retrospective evaluation of outcomes in a French tertiary center. En: Scientific Reports. Vol. 11; No. 1; pp. 1-11; Nature Publishing Group
Garc\'\ia-Casallas, Julio César; Blanco-Mej\'\ia, Jhósep Andrés; Fuentes-Barreiro, Yuli Viviana; Arciniegas-Mayorga, Laura Camila; Arias-Cepeda, César Daniel; Morales-Pardo, Brayan David (2020) Prevención y tratamiento de las infecciones del sitio operatorio en neurocirug\'\ia. Estado del arte. En: Iatreia. Vol. 33; No. 1; pp. 39-58; Universidad de Antioquia
Caba, Quinatoa; Lic, Gabriela Giovanna; others (2021) Estrategia de prevención de infecciones del sitio quirúrgico en neurocirug\'\ia fundamentada en factores de riesgo.
Minhas, Komal; Khan, Tariq M; Arsalan, Muhammad; Saud Naqvi, Syed; Ahmed, Mansoor; Ahmed Khan, Haroon; Adnan Haider, Muhammad; Haseeb, Abdul (2020) Accurate Pixel-Wise Skin Segmentation Using Shallow Fully Convolutional Neural Network. En: IEEE Access. Vol. 8; pp. 156314-156327; Disponible en: 10.1109/ACCESS.2020.3019183.
Boehm, Jacob R; Fey, Nicholas P; Fey, Ann Majewicz (2021) Online Recognition of Bimanual Coordination Provides Important Context for Movement Data in Bimanual Teleoperated Robots. En: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). pp. 6248-6255; Disponible en: 10.1109/IROS51168.2021.9636272.
Jacob, Mithun George; Wachs, Juan P (2016) Optimal Modality Selection for Cooperative Human–Robot Task Completion. En: IEEE Transactions on Cybernetics. Vol. 46; No. 12; pp. 3388-3400; Disponible en: 10.1109/TCYB.2015.2506985.
El Jaouhari, Saad; Hardy, Patrick; Pasquier, Guillaume; Guitter, Pierrick; Poiseau, Eric; Moubri-Tournes, Cédric; Leduc, Stéphane; Vincendeau, Sébastien; Bourgeois, Laurent; Gibaud, Bernard; Cordonnier, Emmanuel (2019) World First Retransmission of Medical Images in an Operating Room via DICOM-RTV: Technical Details. En: 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC). Vol. 2; pp. 294-299; Disponible en: 10.1109/COMPSAC.2019.10222.
Li, Rui-Qi; Zhou, Xiao-Hu; Bian, Gui-Bin; Xie, Xiao-Liang; Hou, Zeng-Guang (2019) Recognition of Endovascular Manipulations using Recurrent Neural Networks. En: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). pp. 7010-7013; Disponible en: 10.1109/EMBC.2019.8856298.
Koenig, Alexander; y Baena, Ferdinando Rodriguez; Secoli, Riccardo (2021) Gesture-Based Teleoperated Grasping for Educational Robotics. En: 2021 30th IEEE International Conference on Robot Human Interactive Communication (RO-MAN). pp. 222-228; Disponible en: 10.1109/RO-MAN50785.2021.9515390.
Li, Chunjiang; Yang, Lifang; Lu, Peng; Wang, Ziyi (2021) Application of decision tree model to surgical action analysis. En: 2021 2nd International Conference on Artificial Intelligence and Education (ICAIE). pp. 163-166; Disponible en: 10.1109/ICAIE53562.2021.00041.
Sun, Yu; Miao, Lijie; Yuan, Zhenming; Sun, Xiaoyan (2019) Hand gesture based control with multi-modality data. En: BIBE 2019; The Third International Conference on Biological Information and Biomedical Engineering. pp. 1-4
Lea, Colin; Vidal, René; Hager, Gregory D (2016) Learning convolutional action primitives for fine-grained action recognition. En: 2016 IEEE International Conference on Robotics and Automation (ICRA). pp. 1642-1649; Disponible en: 10.1109/ICRA.2016.7487305.
Gülmez, Görkem; Cebbar, Kübra; Kul, Seda; Sayar, Ahmet (2021) A Framework for Using Contactless Technologies in Operating Rooms. En: 2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA). pp. 1-6; Disponible en: 10.1109/INISTA52262.2021.9548346.
Razjigaev, Andrew; Crawford, Ross; Roberts, Jonathan; Wu, Liao (2017) Teleoperation of a concentric tube robot through hand gesture visual tracking. En: 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO). pp. 1175-1180; Disponible en: 10.1109/ROBIO.2017.8324577.
Sourial, Maggie; Elnaggar, Ahmed; Reichardt, Dirk (2016) Development of a virtual coach scenario for hand therapy using LEAP motion. En: 2016 Future Technologies Conference (FTC). pp. 1071-1078; Disponible en: 10.1109/FTC.2016.7821736.
Chan, Ting Kwok; Yu, Ying Kin; Kam, Ho Chuen; Wong, Kin Hong (2018) Robust Hand Gesture Input Using Computer Vision, Inertial Measurement Unit (IMU) and Flex Sensors. En: 2018 IEEE International Conference on Mechatronics, Robotics and Automation (ICMRA). pp. 95-99; Disponible en: 10.1109/ICMRA.2018.8490559.
Maheen, Asra; Bin Shahzad, Moosa; Asif, M Usama; Ahmad, Syed Fasih; Zafar, Saqib; Maqbool, H Farhan; Usman, Muhammad; Arshad, Hira (2021) Human Hand Gesture Recognition System Using Body Sensor Network. En: 2021 International Conference on Robotics and Automation in Industry (ICRAI). pp. 1-5; Disponible en: 10.1109/ICRAI54018.2021.9651389.
Kumar, Piyush; Agrawal, Anupam; Prasad, Shitala (2017) Multimodal interface for temporal pattern based interactive large volumetric visualization. En: TENCON 2017. pp. 1239-1244; Disponible en: 10.1109/TENCON.2017.8228047.
Olsson, Alexander; Malešević, Nebojša; Björkman, Anders; Antfolk, Christian (2019) Exploiting the Intertemporal Structure of the Upper-Limb sEMG: Comparisons between an LSTM Network and Cross-Sectional Myoelectric Pattern Recognition Methods. En: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). pp. 6611-6615; Disponible en: 10.1109/EMBC.2019.8856648.
Dheeban, S S; Harish, D V; Hari Vignesh, A; Prasanna, M (2018) Arduino Controlled Gesture Robot. En: 2018 IEEE 4th International Symposium in Robotics and Manufacturing Automation (ROMA). pp. 1-6; Disponible en: 10.1109/ROMA46407.2018.8986730.
Besma, Bessekri; Malika, Kedir-Talha; Hadjer, Zairi; Yasmina, Benlounis; Sarra, Amrani; Hammoudi, Escid (2019) Development of an Electromyography-Based Hand Gesture Recognition System for Upper Extremity Prostheses. En: 2019 6th International Conference on Image and Signal Processing and their Applications (ISPA). pp. 1-6; Disponible en: 10.1109/ISPA48434.2019.8966886.
Fang, Bin; Chen, Ziming; Sun, Fuchun; Yang, Yong; Min, Huasong; Liu, Huaping; Hou, Shoucheng; Sun, Baixin (2020) A Novel Interface Device Developed based on MRT for Prosthetic Hand. En: 2020 Chinese Automation Congress (CAC). pp. 2163-2168; Disponible en: 10.1109/CAC51589.2020.9327035.
Chaman, Shilpa (2018) Surgical Robotic Nurse. En: 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS). pp. 1959-1964; Disponible en: 10.1109/ICCONS.2018.8663025.
Heisnam, Lamyanba; Suthar, Bhivraj (2016) 20 DOF robotic hand for tele-operation: — Design, simulation, control and accuracy test with leap motion. En: 2016 International Conference on Robotics and Automation for Humanitarian Applications (RAHA). pp. 1-5; Disponible en: 10.1109/RAHA.2016.7931886.
Deepan Raj, M; Gogul, I; Thangaraja, M; Kumar, V Sathiesh (2017) Static gesture recognition based precise positioning of 5-DOF robotic arm using FPGA. En: 2017 Trends in Industrial Measurement and Automation (TIMA). pp. 1-6; Disponible en: 10.1109/TIMA.2017.8064804.
Sreekar, C; Sindhu, V S; Bhuvaneshwaran, S; Rubin Bose, S; Sathiesh Kumar, V (2021) Positioning the 5-DOF Robotic Arm using Single Stage Deep CNN Model. En: 2021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII). pp. 1-6; Disponible en: 10.1109/ICBSII51839.2021.9445124.
Selleh, Mohd Ashraf Shukri; Saudi, Azali (2019) Augmented Reality with Hand Gestures Control for Electronic Medical Record. En: 2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC). pp. 146-151; Disponible en: 10.1109/ICSGRC.2019.8837061.
Sbernini, Laura; Quitadamo, Lucia Rita; Riillo, Francesco; Lorenzo, Nicola Di; Gaspari, Achille Lucio; Saggio, Giovanni (2018) Sensory-Glove-Based Open Surgery Skill Evaluation. En: IEEE Transactions on Human-Machine Systems. Vol. 48; No. 2; pp. 213-218; Disponible en: 10.1109/THMS.2017.2776603.
Jarrassé, Nathanael; Nicol, Caroline; Touillet, Amélie; Richer, Florian; Martinet, Noel; Paysant, Jean; de Graaf, Jozina Bernardina (2017) Classification of Phantom Finger, Hand, Wrist, and Elbow Voluntary Gestures in Transhumeral Amputees With sEMG. En: IEEE Transactions on Neural Systems and Rehabilitation Engineering. Vol. 25; No. 1; pp. 71-80; Disponible en: 10.1109/TNSRE.2016.2563222.
Jia, Guangyu; Lam, Hak-Keung; Ma, Shichao; Yang, Zhaohui; Xu, Yujia; Xiao, Bo (2020) Classification of Electromyographic Hand Gesture Signals Using Modified Fuzzy C-Means Clustering and Two-Step Machine Learning Approach. En: IEEE Transactions on Neural Systems and Rehabilitation Engineering. Vol. 28; No. 6; pp. 1428-1435; Disponible en: 10.1109/TNSRE.2020.2986884.
Yang, Lingzhi; Ban, Xiaojuan; Gao, Yuxing; Han, Zhishuai; Zhang, Perry (2018) A Posteriori Processing Optimization Method for Gesture Interaction in Aseptic Operation Room. En: IEEE Access. Vol. 6; pp. 19182-19192; Disponible en: 10.1109/ACCESS.2018.2814621.
Yang, Zhi; Zhao, Shuying; Hua, Chunsheng (2019) The Intergration of KCF-based Object Tracking and Gesture Recognition for Computer-assisted Surgery System. En: 2019 2nd International Conference on Information Systems and Computer Aided Education (ICISCAE). pp. 113-116; Disponible en: 10.1109/ICISCAE48440.2019.221599.
Sa-nguannarm, Phataratah; Charoenpong, Theekapun; Chianrabutra, Chamaporn; Kiatsoontorn, Kraiyot (2019) A Method of 3D Hand Movement Recognition by a Leap Motion Sensor for Controlling Medical Image in an Operating Room. En: 2019 First International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP). pp. 17-20; Disponible en: 10.1109/ICA-SYMP.2019.8645985.
Cifuentes, Jenny; Boulanger, Pierre; Pham, Minh Tu; Prieto, Flavio; Moreau, Richard (2019) Gesture Classification Using LSTM Recurrent Neural Networks. En: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). pp. 6864-6867; Disponible en: 10.1109/EMBC.2019.8857592.
Wang, Ziheng; Fey, Ann Majewicz (2018) SATR-DL: Improving Surgical Skill Assessment And Task Recognition In Robot-Assisted Surgery With Deep Neural Networks. En: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). pp. 1793-1796; Disponible en: 10.1109/EMBC.2018.8512575.
Sa-nguannarm, Phataratah; Senavongse, Wongwit; Charoenpong, Theekapun; Kiatsoontorn, Kraiyot (2018) Hand Movement Recognition by Using a Touchless Sensor for Controlling Images in Operating Room. En: 2018 International Electrical Engineering Congress (iEECON). pp. 1-4; Disponible en: 10.1109/IEECON.2018.8712274.
Cognolato, M; Atzori, M; Faccio, D; Tiengo, C; Bassetto, F; Gassert, R; Muller, H (2018) Hand gesture classification in transradial amputees using the myo armband classifier*. En: 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob). pp. 156-161; Disponible en: 10.1109/BIOROB.2018.8488106.
Jiang, Shuo; Kang, Peiqi; Song, Xinyu; Lo, Benny P L; Shull, Peter B (2022) Emerging Wearable Interfaces and Algorithms for Hand Gesture Recognition: A Survey. En: IEEE Reviews in Biomedical Engineering. Vol. 15; pp. 85-102; Disponible en: 10.1109/RBME.2021.3078190.
Qi, Wen; Ovur, Salih Ertug; Li, Zhijun; Marzullo, Aldo; Song, Rong (2021) Multi-Sensor Guided Hand Gesture Recognition for a Teleoperated Robot Using a Recurrent Neural Network. En: IEEE Robotics and Automation Letters. Vol. 6; No. 3; pp. 6039-6045; Disponible en: 10.1109/LRA.2021.3089999.
Ameur, Safa; Ben Khalifa, Anouar; Bouhlel, Med Salim (2020) Hand-Gesture-Based Touchless Exploration of Medical Images with Leap Motion Controller. En: 2020 17th International Multi-Conference on Systems, Signals Devices (SSD). pp. 6-11; Disponible en: 10.1109/SSD49366.2020.9364244.
Zhang, S; Zhang, X; Cao, S; Gao, X; Chen, X; Zhou, P (2017) Myoelectric Pattern Recognition Based on Muscle Synergies for Simultaneous Control of Dexterous Finger Movements. En: IEEE Transactions on Human-Machine Systems. Vol. 47; No. 4; pp. 576-582; Disponible en: 10.1109/THMS.2017.2700444.
Yang, D; Yang, W; Huang, Q; Liu, H; Altin, Cemil; E. R., Orhan; Kamei, Y; Okada, S; Naik, G R; Al-Timemy, A H; Nguyen, H T; Dellacasa Bellingegni, Alberto; Gruppioni, Emanuele; Colazzo, Giorgio; Davalli, Angelo; Sacchetti, Rinaldo; Guglielmelli, Eugenio; Zollo, Loredana; Phukpattaranont, Pornchai; Thongpanja, Sirinee; Anam, Khairul; Al-Jumaily, Adel; Limsakul, Chusak; Saggio, G; Orengo, G; Pallotti, A; Errico, V; Ricci, M; Celadon, Nicolò; Dozen, Strahinja; Binder, Iris; Ariano, Paolo; Farina, Dario; Došen, Strahinja; Yang, X; Sun, X; Zhou, D; Li, Y; Liu, H; Torres, G A; Benitez, V H; Al-Timemy, A H; Kim, Minjae; Kim, Dong Sung; Chung, Wan Kyun; Na, Youngjin; Kim, Sangjoon J; Jo, Sungho; Kim, Jung; Kim, Sangjoon J; Huang, H; Li, T; Bruschini, C; Enz, C; Koch, V M; Justiz, J; Antfolk, C; Zhai, X; Jelfs, B; Chan, R H M; Tin, C; Alba-Flores, R; Hickman, S; Mirzakani, A S; Geethanjali, P; Phinyomark, A; Scheme, E; Jarrassé, N; Nicol, C; Richer, F; Touillet, A; Martinet, N; Paysant, J; Graaf, J B De; Dai, Chenyun; Hu, Xiaogang; Balasubramanian, S; Garcia-Cossio, E; Birbaumer, N; Burdet, E; Ramos-Murguialday, A; Purushothaman, Geethanjali; Vikas, Raunak (2016) Finger movements classification from grasping spherical objects with surface electromyography using time domain based features. En: Australasian Physical & Engineering Sciences In Medicine. Vol. 39; No. 1; pp. 1-6; Research Unit of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma, v. Alvaro Del Portillo, Rome, Italy. a.dellacasa@unicampus.it.; Centro Protesi INAIL di Vigorso di Budrio, v. Rabuina, Bologna, Italy. a.dellacasa@unicampus.it: Springer; Disponible en: http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=29744809&lang=es&site=ehost-live; http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=29954235&lang=es&site=eh. Disponible en: 10.1109/EMBC.2016.7590706.
Yang, D; Yang, W; Huang, Q; Liu, H; Altin, Cemil; E. R., Orhan; Kamei, Y; Okada, S; Naik, G R; Al-Timemy, A H; Nguyen, H T; Dellacasa Bellingegni, Alberto; Gruppioni, Emanuele; Colazzo, Giorgio; Davalli, Angelo; Sacchetti, Rinaldo; Guglielmelli, Eugenio; Zollo, Loredana; Phukpattaranont, Pornchai; Thongpanja, Sirinee; Anam, Khairul; Al-Jumaily, Adel; Limsakul, Chusak; Saggio, G; Orengo, G; Pallotti, A; Errico, V; Ricci, M; Celadon, Nicolò; Dozen, Strahinja; Binder, Iris; Ariano, Paolo; Farina, Dario; Došen, Strahinja; Yang, X; Sun, X; Zhou, D; Li, Y; Liu, H; Torres, G A; Benitez, V H; Al-Timemy, A H; Kim, Minjae; Kim, Dong Sung; Chung, Wan Kyun; Na, Youngjin; Kim, Sangjoon J; Jo, Sungho; Kim, Jung; Kim, Sangjoon J; Huang, H; Li, T; Bruschini, C; Enz, C; Koch, V M; Justiz, J; Antfolk, C; Zhai, X; Jelfs, B; Chan, R H M; Tin, C; Alba-Flores, R; Hickman, S; Mirzakani, A S; Geethanjali, P; Phinyomark, A; Scheme, E; Jarrassé, N; Nicol, C; Richer, F; Touillet, A; Martinet, N; Paysant, J; Graaf, J B De; Dai, Chenyun; Hu, Xiaogang; Balasubramanian, S; Garcia-Cossio, E; Birbaumer, N; Burdet, E; Ramos-Murguialday, A; Purushothaman, Geethanjali; Vikas, Raunak (2016) Finger movements classification from grasping spherical objects with surface electromyography using time domain based features. En: Australasian Physical & Engineering Sciences In Medicine. Vol. 39; No. 1; pp. 1-6; Research Unit of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma, v. Alvaro Del Portillo, Rome, Italy. a.dellacasa@unicampus.it.; Centro Protesi INAIL di Vigorso di Budrio, v. Rabuina, Bologna, Italy. a.dellacasa@unicampus.it: Springer; VO-; Disponible en: http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=29744809&lang=es&site=ehost-live; http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=29954235&lang=es&site=eh. Disponible en: 10.1109/EMBC.2016.7590706.
Witman, Alvarado-D\'\iaz; Brian, Meneses-Claudio; Avid, Roman-Gonzalez (2019) Electromyography signal acquisition and analysis system for finger movement classification. En: Electromyography. Vol. 10; No. 6
Visconti, P; Gaetani, F; Zappatore, G A; Primiceri, P (2018) INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS Technical Features and Functionalities of Myo Armband: An Overview on Related Literature and Advanced Applications of Myoelectric Armbands Mainly Focused on Arm Prostheses. Vol. 0; Disponible en: 10.21307/ijssis-2018-005.
Villarejo Mayor, John Jairo; Mamede Costa, Regina; Frizera Neto, Anselmo; Freire Bastos, Teodiano; Mayor, J J V; Costa, R M; Frizera Neto, Anselmo; Bastos, T F (2017) Dexterous hand gestures recognition based on low-density sEMG signals for upper-limb forearm amputees. En: Research on Biomedical Engineering. Vol. 33; No. 3; pp. 202-217; Technological Center, Federal University of Espírito Santo, Vitória, ES, Brazil: Brazilian Society of Biomedical Engineering; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030089076&doi=10.1590%2F2446-4740.08516&partnerID=40&md5=755465d388a36081f5c5f8d0288a164f; http://10.0.6.54/2446-4740.08516; http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?dir. Disponible en: 10.1590/2446-4740.08516.
Valero-Cuevas, Francisco J (2005) An integrative approach to the biomechanical function and neuromuscular control of the fingers. En: Journal of Biomechanics. Vol. 38; No. 4; pp. 673-684; Disponible en: https://www.sciencedirect.com/science/article/pii/S0021929004001927. Disponible en: https://doi.org/10.1016/j.jbiomech.2004.04.006.
ur Rehman, Muhammad Ziaur; Waris, Asim; Gilani, Syed Omer; Jochumsen, Mads; Niazi, Imran Khan; Jamil, Mohsin; Farina, Dario; Kamavuako, Ernest Nlandu (2018) Multiday EMG-Based classification of hand motions with deep learning techniques. En: Sensors (Switzerland). Vol. 18; No. 8; pp. 1-16; Disponible en: 10.3390/s18082497.
Tsuboi, A; Hirota, M; Sato, J; Yokoyama, M; Yanagisawa, M (2017) A Proposal for Wearable Controller Device and Finger Gesture Recognition using Surface Electromyography. En: SIGGRAPH Asia 2017 Posters, SA 2017. Waseda university, Japan: Association for Computing Machinery, Inc; 9781450354059 (ISBN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041334385&doi=10.1145%2F3145690.3145731&partnerID=40&md5=fa453ddafca459ded9bcaec605fc4977. Disponible en: 10.1145/3145690.3145731.
Tsinganos, P; Cornelis, B; Cornelis, J; Jansen, B; Skodras, A (2018) Deep learning in EMG-based gesture recognition. En: PhyCS 2018. No. PhyCS; pp. 107-114; 9789897583292; Disponible en: 10.5220/0006960201070114.
Tayeb, Z; Jakovleski, P; Chen, Z; Lippert, J; Lanillos, P; Lee, D; Cheng, G (2019) Enabling the sense of touch in EMG-controlled hand prostheses using vibro-tactile stimulation. En: 9th International IEEE EMBS Conference on Neural Engineering, NER 2019. Vol. 2019-March; pp. 1021-1024; Technical University Munich, Germany: IEEE Computer Society; 19483546 (ISSN); 9781538679210 (ISBN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066750590&doi=10.1109%2FNER.2019.8717124&partnerID=40&md5=8106e8fc980b82e9b5387a4208a602b1. Disponible en: 10.1109/NER.2019.8717124.
Tan, Mingxing; Le, Quoc V (2019) EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. En: 36th International Conference on Machine Learning, ICML 2019. Vol. 2019-June; pp. 10691-10700; International Machine Learning Society (IMLS); Disponible en: http://arxiv.org/abs/1905.11946.
Stapornchaisit, S; Koike, Y (2018) Finger angle estimation using musculoskeletal model on thumb and index finger. En: 22nd World Congress of the International Measurement Confederation, IMEKO 2018. Vol. 1065; No. 18; Information and Communication Department, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Kanagawa Yokohama, 226-8502, Japan: Institute of Physics Publishing; 17426588 (ISSN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057454395&doi=10.1088%2F1742-6596%2F1065%2F18%2F182001&partnerID=40&md5=6fb81f7d09a549adb540dc4685cc5bda. Disponible en: 10.1088/1742-6596/1065/18/182001.
Stapornchaisit, S; Koike, Y (2018) Finger angle estimation using musculoskeletal model on thumb and index finger. En: 22nd World Congress of the International Measurement Confederation, IMEKO 2018. Vol. 1065; Information and Communication Department, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Kanagawa Yokohama, 226-8502, Japan: Institute of Physics Publishing; 17426588 (ISSN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057454395&doi=10.1088%2F1742-6596%2F1065%2F18%2F182001&partnerID=40&md5=6fb81f7d09a549adb540dc4685cc5bda. Disponible en: 10.1088/1742-6596/1065/18/182001.
Soubeyrand, M; Assabah, B; Bégin, M; Laemmel, E; Dos Santos, A; Crézé, M (2017) Pronation and supination of the hand: Anatomy and biomechanics. En: Hand Surgery and Rehabilitation. Vol. 36; No. 1; pp. 2-11; Elsevier Masson; Disponible en: 10.1016/J.HANSUR.2016.09.012.
Soman, Sumit; Jayadeva, D; Arjunan, Sridhar; Kumar, Dinesh Kant; Jayadeva; Arjunan, Sridhar; Kumar, Dinesh Kant (2016) Improved sEMG signal classification using the Twin SVM. En: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). pp. 4507-4512; VO-; Disponible en: 10.1109/SMC.2016.7844942.
Simão, Miguel; Neto, P; Gibaru, Olivier (2019) EMG-based online classification of gestures with recurrent neural networks. En: Pattern Recognition Letters. Vol. 128; pp. 45-51; Disponible en: 10.1016/j.patrec.2019.07.021.
Shi, W.-T.; Lyu, Z.-J.; Tang, S.-T.; Chia, T.-L.; Yang, C.-Y. (2018) A bionic hand controlled by hand gesture recognition based on surface EMG signals: A preliminary study. En: Biocybernetics and Biomedical Engineering. Vol. 38; No. 1; pp. 126-135; Department of Biomedical Engineering, Ming-Chuan University, Taoyuan, Taiwan: PWN-Polish Scientific Publishers; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034738298&doi=10.1016%2Fj.bbe.2017.11.001&partnerID=40&md5=23bd5d5473c7930741184831af9d9d0d. Disponible en: 10.1016/j.bbe.2017.11.001.
Sharif, Hajar; Seo, Seung Byum; Kesavadas, Thenkurussi K (2020) Hand gesture recognition using surface electromyography. En: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Vol. 2020-July; pp. 682-685; 9781728119908; Disponible en: 10.1109/EMBC44109.2020.9175770.
Restrepo, Liliana Andrea Rendón; Suárez, Julio César Correa; Martínez, María Elena Giraldo (2011) Costo de las infecciones del sitio operatorio en una institución de alta complejidad. Medellín – Colombia, 2008-2009 (Cost of operative site infections in an institution of high complexity. Medellin. En: CES Salud Pública. Vol. 2; No. 2; pp. 169-186; Disponible en: https://revistas.ces.edu.co/index.php/ces_salud_publica/article/view/1997. Disponible en: 10.21615/1997.
Rabin, Neta; Kahlon, Maayan; Malayev, Sarit; Ratnovsky, Anat (2020) Classification of human hand movements based on EMG signals using nonlinear dimensionality reduction and data fusion techniques. En: Expert Systems with Applications. Vol. 149; pp. 113281-113281; Elsevier Ltd; Disponible en: https://doi.org/10.1016/j.eswa.2020.113281. Disponible en: 10.1016/j.eswa.2020.113281.
Quivira, F; Koike-Akino, T; Wang, Y; Erdogmus, D (2018) Translating sEMG signals to continuous hand poses using recurrent neural networks. En: 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). pp. 166-169; VO-; Disponible en: 10.1109/BHI.2018.8333395.
Putra, D S; Weru, Y U W; Fitriady, F (2019) Pattern recognition of electromyography (EMG) signal for wrist movement using learning vector quantization (LVQ). En: 1st South Aceh International Conference on Engineering and Technology, SAICOET 2018. Vol. 506; Informatics Engineering, Politeknik Aceh Selatan, Tapaktuan, 23711, Indonesia: Institute of Physics Publishing; 17578981 (ISSN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065603814&doi=10.1088%2F1757-899X%2F506%2F1%2F012020&partnerID=40&md5=d3df59c69e0ee73ee05a6d0506741095. Disponible en: 10.1088/1757-899X/506/1/012020.
Putra, D S; Weru, Y U W; Fitriady, F (2019) Pattern recognition of electromyography (EMG) signal for wrist movement using learning vector quantization (LVQ). En: 1st South Aceh International Conference on Engineering and Technology, SAICOET 2018. Vol. 506; No. 1; Informatics Engineering, Politeknik Aceh Selatan, Tapaktuan, 23711, Indonesia: Institute of Physics Publishing; 17578981 (ISSN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065603814&doi=10.1088%2F1757-899X%2F506%2F1%2F012020&partnerID=40&md5=d3df59c69e0ee73ee05a6d0506741095. Disponible en: 10.1088/1757-899X/506/1/012020.
Priadythama, I; Laksono, P W; Susmartini, S; Pamungkas, A (2017) Study of optimum surface electrode positioning for myoelectric signal detection of typical human grasping. En: Journal of Telecommunication, Electronic and Computer Engineering. Vol. 9; No. 1-5; pp. 17-21; Industrial Engineering Department, Surakarta, Indonesia: Universiti Teknikal Malaysia Melaka; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020772058&partnerID=40&md5=2d64b6f17c13d2330697c6781a31749e.
PLC, Medtronic; StealthStation Surgical Navigation. Disponible en: https://www.medtronic.com/us-en/healthcare-professionals/products/neurological/surgical-navigation-systems/stealthstation/cranial-neurosurgery-navigation.html.
Pizzolato, Stefano; Tagliapietra, Luca; Cognolato, Matteo; Reggiani, Monica; Müller, Henning; Atzori, Manfredo (2017) Comparison of six electromyography acquisition setups on hand movement classification tasks. En: PLoS ONE. Vol. 12; No. 10; pp. 1-17; 1111111111; Disponible en: 10.1371/journal.pone.0186132.
Pizzolato, Stefano; Tagliapietra, Luca; Cognolato, Matteo; Reggiani, Monica; Müller, Henning; Atzori, Manfredo (2017) Comparison of six electromyography acquisition setups on hand movement classification tasks. En: PLoS ONE. Vol. 12; No. 10; Public Library of Science; Disponible en: 10.1371/journal.pone.0186132.
Phinyomark, Angkoon; N Khushaba, Rami; Scheme, Erik (2018) Feature Extraction and Selection for Myoelectric Control Based on Wearable EMG Sensors. En: Sensors (Basel, Switzerland). Vol. 18; No. 5; Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB E3B 5A3, Canada. aphinyom@unb.ca.: MDPI; Disponible en: http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=29783659&lang=es&site=ehost-live. Disponible en: 10.3390/s18051615.
Patel, Aditya; Ramsay, James; Imtiaz, Mohammad; Lu, Yufeng (2019) EMG-based Human Machine Interface Control. En: 2019 12th International Conference on Human System Interaction (HSI). pp. 127-131; Disponible en: 10.1109/HSI47298.2019.8942598.
Park, J; Kim, S J; Kyeong, S; Kim, J; Na, Y (2018) Feasibility of proportional EMG control for a hand exoskeleton: A Fitts' Law approach. En: IFAC-PapersOnLine. Vol. 51; No. 22; pp. 214-219; Department of Mechanical Engineering, KAIST, Daejeon, South Korea: Elsevier B.V.; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058235285&doi=10.1016%2Fj.ifacol.2018.11.544&partnerID=40&md5=9630de499a65d92a95932baa22cf0b56. Disponible en: 10.1016/j.ifacol.2018.11.544.
Parajuli, Nawadita; Sreenivasan, Neethu; Bifulco, Paolo; Cesarelli, Mario; Savino, Sergio; Niola, Vincenzo; Esposito, Daniele; Hamilton, Tara J; Naik, Ganesh R; Gunawardana, Upul; Gargiulo, Gaetano D (2019) Real-time EMG based pattern recognition control for hand prostheses: A review on existing methods, challenges and future implementation. En: Sensors (Switzerland). Vol. 19; No. 20; Disponible en: 10.3390/s19204596.
Osuna, Sandra; Gonzalez, John; Ilzarbe, Amaia (2013) Procesado de señales EMG en Trastornos Neuromusculares. En: ResearchGate. No. JUNE 2013; pp. 0-24; Disponible en: 10.13140/2.1.4902.9445.
Nissler, C; Mouriki, N; Castellini, C (2016) Optical myography: Detecting finger movements by looking at the forearm. En: Frontiers in Neurorobotics. Vol. 10; No. APR; German Aerospace Center (DLR), Institute of Robotics and Mechatronics, Wessling, Germany: Frontiers Research Foundation; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84993985144&doi=10.3389%2Ffnbot.2016.00003&partnerID=40&md5=3e8f00aad075b8699245f47114ccc001. Disponible en: 10.3389/fnbot.2016.00003.
Nishikawa, A; Hosoi, T; Koara, K; Negoro, D; Hikita, A; Asano, S; Kakutani, H; Miyazaki, F; Sekimoto, M; Yasui, M; Miyake, Y; Takiguchi, S; Monden, M (2003) FAce MOUSe: A novel human-machine interface for controlling the position of a laparoscope. En: IEEE Transactions on Robotics and Automation. Vol. 19; No. 5; pp. 825-841; Disponible en: 10.1109/TRA.2003.817093.
Moran, Christine A (1989) Anatomy of the Hand. En: Physical Therapy. Vol. 69; No. 12; pp. 1007-1013; Oxford Academic; Disponible en: https://academic.oup.com/ptj/article/69/12/1007/2728477. Disponible en: 10.1093/PTJ/69.12.1007.
Menon, R; Di Caterina, G; Lakany, H; Petropoulakis, L; Conway, B A; Soraghan, J J (2017) Study on Interaction between Temporal and Spatial Information in Classification of EMG Signals for Myoelectric Prostheses. En: IEEE Transactions on Neural Systems and Rehabilitation Engineering. Vol. 25; No. 10; pp. 1832-1842; Department of Electronic and Electrical Engineering, Centre for Signal and Image Processing, University of Strathclyde, Glasgow, G1 1XW, United Kingdom: Institute of Electrical and Electronics Engineers Inc.; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031412846&doi=10.1109%2FTNSRE.2017.2687761&partnerID=40&md5=eb20e59789b747ba592d50746ee30eff. Disponible en: 10.1109/TNSRE.2017.2687761.
MA, Jun; DING, Yuexiong; Cheng, Jack; Tan, Yi; Gan, Vincent; ZHANG, Jingcheng (2019) Analyzing the Leading Causes of Traffic Fatalities Using XGBoost and Grid-Based Analysis: A City Management Perspective. En: IEEE Access. Vol. PP; pp. 1-1; Disponible en: 10.1109/ACCESS.2019.2946401.
Liu, J; Chen, W; Li, M; Kang, X (2016) Continuous recognition of multifunctional finger and wrist movements in amputee subjects based on sEMG and accelerometry. En: Open Biomedical Engineering Journal. Vol. 10; pp. 101-110; Department of Communication Engineering, Jilin University, Changchun, 130012, China: Bentham Science Publishers B.V.; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034950839&doi=10.2174%2F1874120701610010101&partnerID=40&md5=b474a2a061a046a6710cc7c980bd454e. Disponible en: 10.2174/1874120701610010101.
Kwon, Suncheol; Kim, Jung (2011) Real-Time Upper Limb Motion Estimation From Surface Electromyography and Joint Angular Velocities Using an Artificial Neural Network for Human–Machine Cooperation. En: IEEE Transactions on Information Technology in Biomedicine. Vol. 15; No. 4; pp. 522-530; Disponible en: 10.1109/TITB.2011.2151869.
Kopke, Joseph V; Hargrove, Levi J; Ellis, Michael D (2019) Applying LDA-based pattern recognition to predict isometric shoulder and elbow torque generation in individuals with chronic stroke with moderate to severe motor impairment. En: Journal Of Neuroengineering And Rehabilitation. Vol. 16; No. 1; pp. 35-35; Department of Biomedical Engineering, McCormick School of Engineering, 645 N Michigan Ave, Suite 1109, Chicago, IL, 60611, USA.; Center for Bionic Medicine, 355 East Erie, Chicago, IL, 60611, USA.; Department of Physical Therapy and Human Movement Science: BioMed Central; Disponible en: http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=30836971&lang=es&site=ehost-live. Disponible en: 10.1186/s12984-019-0504-1.
Khushaba, Rami N; Al-Timemy, Ali H; Al-Ani, Ahmed; Al-Jumaily, Adel (2017) A Framework of Temporal-Spatial Descriptors-Based Feature Extraction for Improved Myoelectric Pattern Recognition. En: IEEE Transactions On Neural Systems And Rehabilitation Engineering: A Publication Of The IEEE Engineering In Medicine And Biology Society. Vol. 25; No. 10; pp. 1821-1831; United States: IEEE; Disponible en: http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=28358690&lang=es&site=ehost-live. Disponible en: 10.1109/TNSRE.2017.2687520.
Kapandji, Adalbert I; Others (1998) Fisiologia articular. : Médica Panamericana
Kadhim, A.A.-S.N.; Sattar, M A; Waleed, A S R (2018) Prosthetic hand control using wearable gesture armband based on surface electromyography. En: ARPN Journal of Engineering and Applied Sciences. Vol. 13; No. 24; pp. 9662-9669; Department of Mechanical Engineering, Al-Nahrain University College of Engineering, Iraq: Asian Research Publishing Network; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059565636&partnerID=40&md5=7791aa4435692b6feb0bc28d3ad0c919.
Jimenez, D A; Padilla, J B; Arango, R; Garcia, H F (2017) Human-Computer Interaction for Image Guided Surgery Systems using Physiological Signals: Application to Deep Brain Stimulation Surgery. En: VII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th-28th, 2016. pp. 737-740; Singapore: Springer Singapore; 978-981-10-4086-3
Jiang, Shuo; Gao, Qinghua; Liu, Huaiyang; Shull, Peter B (2020) A novel, co-located EMG-FMG-sensing wearable armband for hand gesture recognition. En: Sensors and Actuators, A: Physical. Vol. 301; Elsevier B.V.; Disponible en: 10.1016/J.SNA.2019.111738.
Jarrassé, N; Nicol, C; Touillet, A; Richer, F; Martinet, N; Paysant, J; de Graaf, J B; Jarrasse, N; Nicol, C; Touillet, A; Richer, F; Martinet, N; Paysant, J; De Graaf, J B (2017) Classification of Phantom Finger, Hand, Wrist, and Elbow Voluntary Gestures in Transhumeral Amputees with sEMG. En: IEEE Transactions on Neural Systems and Rehabilitation Engineering. Vol. 25; No. 1; pp. 71-80; CNRS, Sorbonne University, UPMC University Paris 06, Paris, 75794, France: Institute of Electrical and Electronics Engineers Inc.; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011629291&doi=10.1109%2FTNSRE.2016.2563222&partnerID=40&md5=a469865f7c9e184cff82daccc89addfb. Disponible en: 10.1109/TNSRE.2016.2563222.
Irzmańska, E; Okrasa, M (2016) Preliminary study evaluating manual dexterity tests assessing gloves protecting against cuts and stabs by hand knives. En: International Journal of Industrial Ergonomics. Vol. 56; pp. 138-149; Central Institute for Labour Protection, National Research Institute, Department of Personal Protective Equipment, 48 Wierzbowa Str., Lodz, Poland: Elsevier B.V.; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994560148&doi=10.1016%2Fj.ergon.2016.10.004&partnerID=40&md5=b0ebc74a7a9a66ecc23ef25972588554. Disponible en: 10.1016/j.ergon.2016.10.004.
Huang, Y; Yang, X; Li, Y; Zhou, D; He, K; Liu, H (2018) Ultrasound-Based Sensing Models for Finger Motion Classification. En: IEEE Journal of Biomedical and Health Informatics. Vol. 22; No. 5; pp. 1395-1405; State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China: Institute of Electrical and Electronics Engineers Inc.; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032453062&doi=10.1109%2FJBHI.2017.2766249&partnerID=40&md5=40757d18a30bdb86b9a46130c026a8db. Disponible en: 10.1109/JBHI.2017.2766249.
Hales, Brigette; Terblanche, Marius; Fowler, Robert; Sibbald, William (2008) Development of medical checklists for improved quality of patient care. En: International Journal for Quality in Health Care. Vol. 20; No. 1; pp. 22-30; Disponible en: https://doi.org/10.1093/intqhc/mzm062. Disponible en: 10.1093/intqhc/mzm062.
Ha, N; Withanachchi, G P; Yihun, Y (2019) Performance of Forearm FMG for Estimating Hand Gestures and Prosthetic Hand Control. En: Journal of Bionic Engineering. Vol. 16; No. 1; pp. 88-98; Department of Mechanical Engineering, Wichita State University, Washington, United States: Springer; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060244365&doi=10.1007%2Fs42235-019-0009-4&partnerID=40&md5=084e1e58f4550d0acadbfc2a21e9474c. Disponible en: 10.1007/s42235-019-0009-4.
Fu, J; Xiong, L; Song, X; Yan, Z; Xie, Y (2018) Identification of finger movements from forearm surface EMG using an augmented probabilistic neural network. En: 2017 IEEE/SICE International Symposium on System Integration, SII 2017. Vol. 2018-Janua; pp. 547-552; Chongqing Institutes of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China: Institute of Electrical and Electronics Engineers Inc.; 9781538622636 (ISBN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050857772&doi=10.1109%2FSII.2017.8279278&partnerID=40&md5=4a232afb6a4461748f0d49764c29c46b. Disponible en: 10.1109/SII.2017.8279278.
Ding, S; Gao, W; Sun, X; Zhang, C; Zhang, C; Guo, M (2018) Extraction of Electromyographic Signals for Multiple-Hand-Motion Recognition via Sparse Representation Technique. En: 2018 Chinese Automation Congress, CAC 2018. pp. 3661-3665; School of Mechanical Vehicle Engineering, Linyi University, Linyi, China: Institute of Electrical and Electronics Engineers Inc.; VO-; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062801693&doi=10.1109%2FCAC.2018.8623061&partnerID=40&md5=3676a788d7e9ad537daed1fe0793dde2. Disponible en: 10.1109/CAC.2018.8623061.
Celadon, Nicolo; Dozen, Strahinja; Binder, Iris; Ariano, Paolo; Farina, Dario; Dovsen, Strahinja (2016) Proportional estimation of finger movements from high-density surface electromyography. En: Journal of NeuroEngineering & Rehabilitation (JNER). Vol. 13; pp. 1-19; BioMed Central
Côté-Allard, Ulysse; Gagnon-Turcotte, Gabriel; Laviolette, François; Gosselin, Benoit (2019) A low-cost, wireless, 3-D-printed custom armband for semg hand gesture recognition. En: Sensors (Switzerland). Vol. 19; No. 12; pp. 1-24; Disponible en: 10.3390/s19122811.
Qi, Jinxian; Jiang, Guozhang; Li, Gongfa; Sun, Ying; Tao, Bo (2019) Intelligent Human-Computer Interaction Based on Surface EMG Gesture Recognition. En: IEEE Access. Vol. 7; pp. 61378-61387
Bradley, Efron (2010) Leave-One-Out Cross-Validation. En: Encyclopedia of Machine Learning. pp. 600-601; Boston, MA: Springer US; 978-0-387-30164-8; Disponible en: https://doi.org/10.1007/978-0-387-30164-8_469. Disponible en: 10.1007/978-0-387-30164-8_469.
Kubat, Klapan Duspara Majhen Benic Kostelac; Berlengi (2017) What is the future of minimally invasive surgery in rhinology: markerbased virtual reality simulation with touch free surgeon’s commands. En: Otolaryngol. Head Neck Surg.
Muhammad, Uzair; Sipra, Khadija Amjad; Waqas, Muhammad; Tu, Shanshan; Koubaa, Anis (2020) POSTER: Human-Robot Interaction: A Myo Armband Using EMG and IMU Signals. En: 2020 First International Conference of Smart Systems and Emerging Technologies. pp. 251-252
BERNHARDT, PAUL (2015) MYO logging IMU and Raw Data. Disponible en: https://developerblog.myo.com/myocraft-logging-imu-and-raw-emg-data/.
Behrenbeck, J; Tayeb, Z; Bhiri, C; Richter, C; Rhodes, O; Kasabov, N; Espinosa-Ramos, J I; Furber, S; Cheng, G; Conradt, J (2019) Classification and regression of spatio-temporal signals using NeuCube and its realization on SpiNNaker neuromorphic hardware. En: Journal of Neural Engineering. Vol. 16; No. 2; Department of Mechanical Engineering, Technical University of Munich, Munich, Germany: Institute of Physics Publishing; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062856050&doi=10.1088%2F1741-2552%2Faafabc&partnerID=40&md5=1c22e720d6bedf96bbdb03790e9c8dce. Disponible en: 10.1088/1741-2552/aafabc.
Bai, D; Zhang, S; Yang, J; Jiang, Y; Yokoi, H (2016) Recognition system of finger motion pattern based on AR model coefficient estimation. En: 2016 IEEE International Conference on Information and Automation (ICIA). pp. 1249-1254; VO-; Disponible en: 10.1109/ICInfA.2016.7832011.
Bai, D; Zhang, S; Yang, J; Jiang, Y; Yokoi, H (2017) Recognition System of finger motion pattern based on AR model coefficient estimation. En: 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016. pp. 1249-1254; School of Electrical Engineering, Shenyang University of Technology, Shenyang, Liaoning Province, China: Institute of Electrical and Electronics Engineers Inc.; 9781509041022 (ISBN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015734716&doi=10.1109%2FICInfA.2016.7832011&partnerID=40&md5=4749e2e88f16c41d1d6bff7d0b5b0462. Disponible en: 10.1109/ICInfA.2016.7832011.
Atzori, Manfredo; Gijsberts, Arjan; Castellini, Claudio; Caputo, Barbara; Hager, Anne Gabrielle Mittaz; Elsig, Simone; Giatsidis, Giorgio; Bassetto, Franco; Müller, Henning (2014) Electromyography data for non-invasive naturally-controlled robotic hand prostheses. En: Scientific Data. Vol. 1; pp. 1-13; Disponible en: 10.1038/sdata.2014.53.
Anam, Khairul; Al-Jumaily, Adel (2017) Evaluation of extreme learning machine for classification of individual and combined finger movements using electromyography on amputees and non-amputees. En: Neural Networks. Vol. 85; pp. 51-68; Disponible en: http://10.0.3.248/j.neunet.2016.09.004; http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=120017193&lang=es&site=ehost-live.
Ameri, Ali; Akhaee, Mohammad Ali; Scheme, Erik; Englehart, Kevin (2020) A Deep Transfer Learning Approach to Reducing the Effect of Electrode Shift in EMG Pattern Recognition-Based Control. En: IEEE Transactions on Neural Systems and Rehabilitation Engineering. Vol. 28; No. 2; pp. 370-379; Disponible en: 10.1109/TNSRE.2019.2962189.
Alam, R; Rhivu, S R; Haque, M A (2018) Improved Gesture Recognition Using Deep Neural Networks on sEMG. En: 2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST). pp. 1-4; VO-; Disponible en: 10.1109/ICEAST.2018.8434493.
Akhlaghi, Nima; Baker, Clayton A; Lahlou, Mohamed; Zafar, Hozaifah; Murthy, Karthik G; Rangwala, Huzefa S; Kosecka, Jana; Joiner, Wilsaan M; Pancrazio, Joseph J; Sikdar, Siddhartha (2016) Real-time classification of hand motions using ultrasound imaging of forearm muscles. En: IEEE Transactions on Biomedical Engineering. Vol. 63; No. 8; pp. 1687-1698; Disponible en: 10.1109/TBME.2015.2498124.
Akhlaghi, N; Baker, C A; Lahlou, M; Zafar, H; Murthy, K G; Rangwala, H S; Kosecka, J; Joiner, W M; Pancrazio, J J; Sikdar, S (2016) Real-time classification of hand motions using ultrasound imaging of forearm muscles. En: IEEE Transactions on Biomedical Engineering. Vol. 63; No. 8; pp. 1687-1698; Electrical and Computer Engineering Department, George Mason University, United States: IEEE Computer Society; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84986242737&doi=10.1109%2FTBME.2015.2498124&partnerID=40&md5=cacd5a3d865ad705e263209da862d062. Disponible en: 10.1109/TBME.2015.2498124.
Afkari, Hoorieh; Bednarik, Roman; Mäkelä, Susanne; Eivazi, Shahram (2016) Mechanisms for maintaining situation awareness in the micro-neurosurgical operating room. En: International Journal of Human-Computer Studies. Vol. 95; pp. 1-14; Disponible en: https://www.sciencedirect.com/science/article/pii/S1071581916300489. Disponible en: https://doi.org/10.1016/j.ijhcs.2016.05.004.
Repositorio EdocUR-U. Rosario
Universidad del Rosario
instacron:Universidad del Rosario
Solano, Alfredo Jose Sanabria (2021) Imagen de los movimientos de la mano.
Kantor, Pierre; Matonti, Frédéric; Varenne, Fanny; Sentis, Vanessa; Pagot-Mathis, Véronique; Fournié, Pierre; Soler, Vincent (2021) Use of the heads-up NGENUITY 3D Visualization System for vitreoretinal surgery: a retrospective evaluation of outcomes in a French tertiary center. En: Scientific Reports. Vol. 11; No. 1; pp. 1-11; Nature Publishing Group
Garc\'\ia-Casallas, Julio César; Blanco-Mej\'\ia, Jhósep Andrés; Fuentes-Barreiro, Yuli Viviana; Arciniegas-Mayorga, Laura Camila; Arias-Cepeda, César Daniel; Morales-Pardo, Brayan David (2020) Prevención y tratamiento de las infecciones del sitio operatorio en neurocirug\'\ia. Estado del arte. En: Iatreia. Vol. 33; No. 1; pp. 39-58; Universidad de Antioquia
Caba, Quinatoa; Lic, Gabriela Giovanna; others (2021) Estrategia de prevención de infecciones del sitio quirúrgico en neurocirug\'\ia fundamentada en factores de riesgo.
Minhas, Komal; Khan, Tariq M; Arsalan, Muhammad; Saud Naqvi, Syed; Ahmed, Mansoor; Ahmed Khan, Haroon; Adnan Haider, Muhammad; Haseeb, Abdul (2020) Accurate Pixel-Wise Skin Segmentation Using Shallow Fully Convolutional Neural Network. En: IEEE Access. Vol. 8; pp. 156314-156327; Disponible en: 10.1109/ACCESS.2020.3019183.
Boehm, Jacob R; Fey, Nicholas P; Fey, Ann Majewicz (2021) Online Recognition of Bimanual Coordination Provides Important Context for Movement Data in Bimanual Teleoperated Robots. En: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). pp. 6248-6255; Disponible en: 10.1109/IROS51168.2021.9636272.
Jacob, Mithun George; Wachs, Juan P (2016) Optimal Modality Selection for Cooperative Human–Robot Task Completion. En: IEEE Transactions on Cybernetics. Vol. 46; No. 12; pp. 3388-3400; Disponible en: 10.1109/TCYB.2015.2506985.
El Jaouhari, Saad; Hardy, Patrick; Pasquier, Guillaume; Guitter, Pierrick; Poiseau, Eric; Moubri-Tournes, Cédric; Leduc, Stéphane; Vincendeau, Sébastien; Bourgeois, Laurent; Gibaud, Bernard; Cordonnier, Emmanuel (2019) World First Retransmission of Medical Images in an Operating Room via DICOM-RTV: Technical Details. En: 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC). Vol. 2; pp. 294-299; Disponible en: 10.1109/COMPSAC.2019.10222.
Li, Rui-Qi; Zhou, Xiao-Hu; Bian, Gui-Bin; Xie, Xiao-Liang; Hou, Zeng-Guang (2019) Recognition of Endovascular Manipulations using Recurrent Neural Networks. En: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). pp. 7010-7013; Disponible en: 10.1109/EMBC.2019.8856298.
Koenig, Alexander; y Baena, Ferdinando Rodriguez; Secoli, Riccardo (2021) Gesture-Based Teleoperated Grasping for Educational Robotics. En: 2021 30th IEEE International Conference on Robot Human Interactive Communication (RO-MAN). pp. 222-228; Disponible en: 10.1109/RO-MAN50785.2021.9515390.
Li, Chunjiang; Yang, Lifang; Lu, Peng; Wang, Ziyi (2021) Application of decision tree model to surgical action analysis. En: 2021 2nd International Conference on Artificial Intelligence and Education (ICAIE). pp. 163-166; Disponible en: 10.1109/ICAIE53562.2021.00041.
Sun, Yu; Miao, Lijie; Yuan, Zhenming; Sun, Xiaoyan (2019) Hand gesture based control with multi-modality data. En: BIBE 2019; The Third International Conference on Biological Information and Biomedical Engineering. pp. 1-4
Lea, Colin; Vidal, René; Hager, Gregory D (2016) Learning convolutional action primitives for fine-grained action recognition. En: 2016 IEEE International Conference on Robotics and Automation (ICRA). pp. 1642-1649; Disponible en: 10.1109/ICRA.2016.7487305.
Gülmez, Görkem; Cebbar, Kübra; Kul, Seda; Sayar, Ahmet (2021) A Framework for Using Contactless Technologies in Operating Rooms. En: 2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA). pp. 1-6; Disponible en: 10.1109/INISTA52262.2021.9548346.
Razjigaev, Andrew; Crawford, Ross; Roberts, Jonathan; Wu, Liao (2017) Teleoperation of a concentric tube robot through hand gesture visual tracking. En: 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO). pp. 1175-1180; Disponible en: 10.1109/ROBIO.2017.8324577.
Sourial, Maggie; Elnaggar, Ahmed; Reichardt, Dirk (2016) Development of a virtual coach scenario for hand therapy using LEAP motion. En: 2016 Future Technologies Conference (FTC). pp. 1071-1078; Disponible en: 10.1109/FTC.2016.7821736.
Chan, Ting Kwok; Yu, Ying Kin; Kam, Ho Chuen; Wong, Kin Hong (2018) Robust Hand Gesture Input Using Computer Vision, Inertial Measurement Unit (IMU) and Flex Sensors. En: 2018 IEEE International Conference on Mechatronics, Robotics and Automation (ICMRA). pp. 95-99; Disponible en: 10.1109/ICMRA.2018.8490559.
Maheen, Asra; Bin Shahzad, Moosa; Asif, M Usama; Ahmad, Syed Fasih; Zafar, Saqib; Maqbool, H Farhan; Usman, Muhammad; Arshad, Hira (2021) Human Hand Gesture Recognition System Using Body Sensor Network. En: 2021 International Conference on Robotics and Automation in Industry (ICRAI). pp. 1-5; Disponible en: 10.1109/ICRAI54018.2021.9651389.
Kumar, Piyush; Agrawal, Anupam; Prasad, Shitala (2017) Multimodal interface for temporal pattern based interactive large volumetric visualization. En: TENCON 2017. pp. 1239-1244; Disponible en: 10.1109/TENCON.2017.8228047.
Olsson, Alexander; Malešević, Nebojša; Björkman, Anders; Antfolk, Christian (2019) Exploiting the Intertemporal Structure of the Upper-Limb sEMG: Comparisons between an LSTM Network and Cross-Sectional Myoelectric Pattern Recognition Methods. En: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). pp. 6611-6615; Disponible en: 10.1109/EMBC.2019.8856648.
Dheeban, S S; Harish, D V; Hari Vignesh, A; Prasanna, M (2018) Arduino Controlled Gesture Robot. En: 2018 IEEE 4th International Symposium in Robotics and Manufacturing Automation (ROMA). pp. 1-6; Disponible en: 10.1109/ROMA46407.2018.8986730.
Besma, Bessekri; Malika, Kedir-Talha; Hadjer, Zairi; Yasmina, Benlounis; Sarra, Amrani; Hammoudi, Escid (2019) Development of an Electromyography-Based Hand Gesture Recognition System for Upper Extremity Prostheses. En: 2019 6th International Conference on Image and Signal Processing and their Applications (ISPA). pp. 1-6; Disponible en: 10.1109/ISPA48434.2019.8966886.
Fang, Bin; Chen, Ziming; Sun, Fuchun; Yang, Yong; Min, Huasong; Liu, Huaping; Hou, Shoucheng; Sun, Baixin (2020) A Novel Interface Device Developed based on MRT for Prosthetic Hand. En: 2020 Chinese Automation Congress (CAC). pp. 2163-2168; Disponible en: 10.1109/CAC51589.2020.9327035.
Chaman, Shilpa (2018) Surgical Robotic Nurse. En: 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS). pp. 1959-1964; Disponible en: 10.1109/ICCONS.2018.8663025.
Heisnam, Lamyanba; Suthar, Bhivraj (2016) 20 DOF robotic hand for tele-operation: — Design, simulation, control and accuracy test with leap motion. En: 2016 International Conference on Robotics and Automation for Humanitarian Applications (RAHA). pp. 1-5; Disponible en: 10.1109/RAHA.2016.7931886.
Deepan Raj, M; Gogul, I; Thangaraja, M; Kumar, V Sathiesh (2017) Static gesture recognition based precise positioning of 5-DOF robotic arm using FPGA. En: 2017 Trends in Industrial Measurement and Automation (TIMA). pp. 1-6; Disponible en: 10.1109/TIMA.2017.8064804.
Sreekar, C; Sindhu, V S; Bhuvaneshwaran, S; Rubin Bose, S; Sathiesh Kumar, V (2021) Positioning the 5-DOF Robotic Arm using Single Stage Deep CNN Model. En: 2021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII). pp. 1-6; Disponible en: 10.1109/ICBSII51839.2021.9445124.
Selleh, Mohd Ashraf Shukri; Saudi, Azali (2019) Augmented Reality with Hand Gestures Control for Electronic Medical Record. En: 2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC). pp. 146-151; Disponible en: 10.1109/ICSGRC.2019.8837061.
Sbernini, Laura; Quitadamo, Lucia Rita; Riillo, Francesco; Lorenzo, Nicola Di; Gaspari, Achille Lucio; Saggio, Giovanni (2018) Sensory-Glove-Based Open Surgery Skill Evaluation. En: IEEE Transactions on Human-Machine Systems. Vol. 48; No. 2; pp. 213-218; Disponible en: 10.1109/THMS.2017.2776603.
Jarrassé, Nathanael; Nicol, Caroline; Touillet, Amélie; Richer, Florian; Martinet, Noel; Paysant, Jean; de Graaf, Jozina Bernardina (2017) Classification of Phantom Finger, Hand, Wrist, and Elbow Voluntary Gestures in Transhumeral Amputees With sEMG. En: IEEE Transactions on Neural Systems and Rehabilitation Engineering. Vol. 25; No. 1; pp. 71-80; Disponible en: 10.1109/TNSRE.2016.2563222.
Jia, Guangyu; Lam, Hak-Keung; Ma, Shichao; Yang, Zhaohui; Xu, Yujia; Xiao, Bo (2020) Classification of Electromyographic Hand Gesture Signals Using Modified Fuzzy C-Means Clustering and Two-Step Machine Learning Approach. En: IEEE Transactions on Neural Systems and Rehabilitation Engineering. Vol. 28; No. 6; pp. 1428-1435; Disponible en: 10.1109/TNSRE.2020.2986884.
Yang, Lingzhi; Ban, Xiaojuan; Gao, Yuxing; Han, Zhishuai; Zhang, Perry (2018) A Posteriori Processing Optimization Method for Gesture Interaction in Aseptic Operation Room. En: IEEE Access. Vol. 6; pp. 19182-19192; Disponible en: 10.1109/ACCESS.2018.2814621.
Yang, Zhi; Zhao, Shuying; Hua, Chunsheng (2019) The Intergration of KCF-based Object Tracking and Gesture Recognition for Computer-assisted Surgery System. En: 2019 2nd International Conference on Information Systems and Computer Aided Education (ICISCAE). pp. 113-116; Disponible en: 10.1109/ICISCAE48440.2019.221599.
Sa-nguannarm, Phataratah; Charoenpong, Theekapun; Chianrabutra, Chamaporn; Kiatsoontorn, Kraiyot (2019) A Method of 3D Hand Movement Recognition by a Leap Motion Sensor for Controlling Medical Image in an Operating Room. En: 2019 First International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP). pp. 17-20; Disponible en: 10.1109/ICA-SYMP.2019.8645985.
Cifuentes, Jenny; Boulanger, Pierre; Pham, Minh Tu; Prieto, Flavio; Moreau, Richard (2019) Gesture Classification Using LSTM Recurrent Neural Networks. En: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). pp. 6864-6867; Disponible en: 10.1109/EMBC.2019.8857592.
Wang, Ziheng; Fey, Ann Majewicz (2018) SATR-DL: Improving Surgical Skill Assessment And Task Recognition In Robot-Assisted Surgery With Deep Neural Networks. En: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). pp. 1793-1796; Disponible en: 10.1109/EMBC.2018.8512575.
Sa-nguannarm, Phataratah; Senavongse, Wongwit; Charoenpong, Theekapun; Kiatsoontorn, Kraiyot (2018) Hand Movement Recognition by Using a Touchless Sensor for Controlling Images in Operating Room. En: 2018 International Electrical Engineering Congress (iEECON). pp. 1-4; Disponible en: 10.1109/IEECON.2018.8712274.
Cognolato, M; Atzori, M; Faccio, D; Tiengo, C; Bassetto, F; Gassert, R; Muller, H (2018) Hand gesture classification in transradial amputees using the myo armband classifier*. En: 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob). pp. 156-161; Disponible en: 10.1109/BIOROB.2018.8488106.
Jiang, Shuo; Kang, Peiqi; Song, Xinyu; Lo, Benny P L; Shull, Peter B (2022) Emerging Wearable Interfaces and Algorithms for Hand Gesture Recognition: A Survey. En: IEEE Reviews in Biomedical Engineering. Vol. 15; pp. 85-102; Disponible en: 10.1109/RBME.2021.3078190.
Qi, Wen; Ovur, Salih Ertug; Li, Zhijun; Marzullo, Aldo; Song, Rong (2021) Multi-Sensor Guided Hand Gesture Recognition for a Teleoperated Robot Using a Recurrent Neural Network. En: IEEE Robotics and Automation Letters. Vol. 6; No. 3; pp. 6039-6045; Disponible en: 10.1109/LRA.2021.3089999.
Ameur, Safa; Ben Khalifa, Anouar; Bouhlel, Med Salim (2020) Hand-Gesture-Based Touchless Exploration of Medical Images with Leap Motion Controller. En: 2020 17th International Multi-Conference on Systems, Signals Devices (SSD). pp. 6-11; Disponible en: 10.1109/SSD49366.2020.9364244.
Zhang, S; Zhang, X; Cao, S; Gao, X; Chen, X; Zhou, P (2017) Myoelectric Pattern Recognition Based on Muscle Synergies for Simultaneous Control of Dexterous Finger Movements. En: IEEE Transactions on Human-Machine Systems. Vol. 47; No. 4; pp. 576-582; Disponible en: 10.1109/THMS.2017.2700444.
Yang, D; Yang, W; Huang, Q; Liu, H; Altin, Cemil; E. R., Orhan; Kamei, Y; Okada, S; Naik, G R; Al-Timemy, A H; Nguyen, H T; Dellacasa Bellingegni, Alberto; Gruppioni, Emanuele; Colazzo, Giorgio; Davalli, Angelo; Sacchetti, Rinaldo; Guglielmelli, Eugenio; Zollo, Loredana; Phukpattaranont, Pornchai; Thongpanja, Sirinee; Anam, Khairul; Al-Jumaily, Adel; Limsakul, Chusak; Saggio, G; Orengo, G; Pallotti, A; Errico, V; Ricci, M; Celadon, Nicolò; Dozen, Strahinja; Binder, Iris; Ariano, Paolo; Farina, Dario; Došen, Strahinja; Yang, X; Sun, X; Zhou, D; Li, Y; Liu, H; Torres, G A; Benitez, V H; Al-Timemy, A H; Kim, Minjae; Kim, Dong Sung; Chung, Wan Kyun; Na, Youngjin; Kim, Sangjoon J; Jo, Sungho; Kim, Jung; Kim, Sangjoon J; Huang, H; Li, T; Bruschini, C; Enz, C; Koch, V M; Justiz, J; Antfolk, C; Zhai, X; Jelfs, B; Chan, R H M; Tin, C; Alba-Flores, R; Hickman, S; Mirzakani, A S; Geethanjali, P; Phinyomark, A; Scheme, E; Jarrassé, N; Nicol, C; Richer, F; Touillet, A; Martinet, N; Paysant, J; Graaf, J B De; Dai, Chenyun; Hu, Xiaogang; Balasubramanian, S; Garcia-Cossio, E; Birbaumer, N; Burdet, E; Ramos-Murguialday, A; Purushothaman, Geethanjali; Vikas, Raunak (2016) Finger movements classification from grasping spherical objects with surface electromyography using time domain based features. En: Australasian Physical & Engineering Sciences In Medicine. Vol. 39; No. 1; pp. 1-6; Research Unit of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma, v. Alvaro Del Portillo, Rome, Italy. a.dellacasa@unicampus.it.; Centro Protesi INAIL di Vigorso di Budrio, v. Rabuina, Bologna, Italy. a.dellacasa@unicampus.it: Springer; Disponible en: http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=29744809&lang=es&site=ehost-live; http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=29954235&lang=es&site=eh. Disponible en: 10.1109/EMBC.2016.7590706.
Yang, D; Yang, W; Huang, Q; Liu, H; Altin, Cemil; E. R., Orhan; Kamei, Y; Okada, S; Naik, G R; Al-Timemy, A H; Nguyen, H T; Dellacasa Bellingegni, Alberto; Gruppioni, Emanuele; Colazzo, Giorgio; Davalli, Angelo; Sacchetti, Rinaldo; Guglielmelli, Eugenio; Zollo, Loredana; Phukpattaranont, Pornchai; Thongpanja, Sirinee; Anam, Khairul; Al-Jumaily, Adel; Limsakul, Chusak; Saggio, G; Orengo, G; Pallotti, A; Errico, V; Ricci, M; Celadon, Nicolò; Dozen, Strahinja; Binder, Iris; Ariano, Paolo; Farina, Dario; Došen, Strahinja; Yang, X; Sun, X; Zhou, D; Li, Y; Liu, H; Torres, G A; Benitez, V H; Al-Timemy, A H; Kim, Minjae; Kim, Dong Sung; Chung, Wan Kyun; Na, Youngjin; Kim, Sangjoon J; Jo, Sungho; Kim, Jung; Kim, Sangjoon J; Huang, H; Li, T; Bruschini, C; Enz, C; Koch, V M; Justiz, J; Antfolk, C; Zhai, X; Jelfs, B; Chan, R H M; Tin, C; Alba-Flores, R; Hickman, S; Mirzakani, A S; Geethanjali, P; Phinyomark, A; Scheme, E; Jarrassé, N; Nicol, C; Richer, F; Touillet, A; Martinet, N; Paysant, J; Graaf, J B De; Dai, Chenyun; Hu, Xiaogang; Balasubramanian, S; Garcia-Cossio, E; Birbaumer, N; Burdet, E; Ramos-Murguialday, A; Purushothaman, Geethanjali; Vikas, Raunak (2016) Finger movements classification from grasping spherical objects with surface electromyography using time domain based features. En: Australasian Physical & Engineering Sciences In Medicine. Vol. 39; No. 1; pp. 1-6; Research Unit of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma, v. Alvaro Del Portillo, Rome, Italy. a.dellacasa@unicampus.it.; Centro Protesi INAIL di Vigorso di Budrio, v. Rabuina, Bologna, Italy. a.dellacasa@unicampus.it: Springer; VO-; Disponible en: http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=29744809&lang=es&site=ehost-live; http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=29954235&lang=es&site=eh. Disponible en: 10.1109/EMBC.2016.7590706.
Witman, Alvarado-D\'\iaz; Brian, Meneses-Claudio; Avid, Roman-Gonzalez (2019) Electromyography signal acquisition and analysis system for finger movement classification. En: Electromyography. Vol. 10; No. 6
Visconti, P; Gaetani, F; Zappatore, G A; Primiceri, P (2018) INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS Technical Features and Functionalities of Myo Armband: An Overview on Related Literature and Advanced Applications of Myoelectric Armbands Mainly Focused on Arm Prostheses. Vol. 0; Disponible en: 10.21307/ijssis-2018-005.
Villarejo Mayor, John Jairo; Mamede Costa, Regina; Frizera Neto, Anselmo; Freire Bastos, Teodiano; Mayor, J J V; Costa, R M; Frizera Neto, Anselmo; Bastos, T F (2017) Dexterous hand gestures recognition based on low-density sEMG signals for upper-limb forearm amputees. En: Research on Biomedical Engineering. Vol. 33; No. 3; pp. 202-217; Technological Center, Federal University of Espírito Santo, Vitória, ES, Brazil: Brazilian Society of Biomedical Engineering; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030089076&doi=10.1590%2F2446-4740.08516&partnerID=40&md5=755465d388a36081f5c5f8d0288a164f; http://10.0.6.54/2446-4740.08516; http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?dir. Disponible en: 10.1590/2446-4740.08516.
Valero-Cuevas, Francisco J (2005) An integrative approach to the biomechanical function and neuromuscular control of the fingers. En: Journal of Biomechanics. Vol. 38; No. 4; pp. 673-684; Disponible en: https://www.sciencedirect.com/science/article/pii/S0021929004001927. Disponible en: https://doi.org/10.1016/j.jbiomech.2004.04.006.
ur Rehman, Muhammad Ziaur; Waris, Asim; Gilani, Syed Omer; Jochumsen, Mads; Niazi, Imran Khan; Jamil, Mohsin; Farina, Dario; Kamavuako, Ernest Nlandu (2018) Multiday EMG-Based classification of hand motions with deep learning techniques. En: Sensors (Switzerland). Vol. 18; No. 8; pp. 1-16; Disponible en: 10.3390/s18082497.
Tsuboi, A; Hirota, M; Sato, J; Yokoyama, M; Yanagisawa, M (2017) A Proposal for Wearable Controller Device and Finger Gesture Recognition using Surface Electromyography. En: SIGGRAPH Asia 2017 Posters, SA 2017. Waseda university, Japan: Association for Computing Machinery, Inc; 9781450354059 (ISBN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041334385&doi=10.1145%2F3145690.3145731&partnerID=40&md5=fa453ddafca459ded9bcaec605fc4977. Disponible en: 10.1145/3145690.3145731.
Tsinganos, P; Cornelis, B; Cornelis, J; Jansen, B; Skodras, A (2018) Deep learning in EMG-based gesture recognition. En: PhyCS 2018. No. PhyCS; pp. 107-114; 9789897583292; Disponible en: 10.5220/0006960201070114.
Tayeb, Z; Jakovleski, P; Chen, Z; Lippert, J; Lanillos, P; Lee, D; Cheng, G (2019) Enabling the sense of touch in EMG-controlled hand prostheses using vibro-tactile stimulation. En: 9th International IEEE EMBS Conference on Neural Engineering, NER 2019. Vol. 2019-March; pp. 1021-1024; Technical University Munich, Germany: IEEE Computer Society; 19483546 (ISSN); 9781538679210 (ISBN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066750590&doi=10.1109%2FNER.2019.8717124&partnerID=40&md5=8106e8fc980b82e9b5387a4208a602b1. Disponible en: 10.1109/NER.2019.8717124.
Tan, Mingxing; Le, Quoc V (2019) EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. En: 36th International Conference on Machine Learning, ICML 2019. Vol. 2019-June; pp. 10691-10700; International Machine Learning Society (IMLS); Disponible en: http://arxiv.org/abs/1905.11946.
Stapornchaisit, S; Koike, Y (2018) Finger angle estimation using musculoskeletal model on thumb and index finger. En: 22nd World Congress of the International Measurement Confederation, IMEKO 2018. Vol. 1065; No. 18; Information and Communication Department, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Kanagawa Yokohama, 226-8502, Japan: Institute of Physics Publishing; 17426588 (ISSN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057454395&doi=10.1088%2F1742-6596%2F1065%2F18%2F182001&partnerID=40&md5=6fb81f7d09a549adb540dc4685cc5bda. Disponible en: 10.1088/1742-6596/1065/18/182001.
Stapornchaisit, S; Koike, Y (2018) Finger angle estimation using musculoskeletal model on thumb and index finger. En: 22nd World Congress of the International Measurement Confederation, IMEKO 2018. Vol. 1065; Information and Communication Department, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Kanagawa Yokohama, 226-8502, Japan: Institute of Physics Publishing; 17426588 (ISSN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057454395&doi=10.1088%2F1742-6596%2F1065%2F18%2F182001&partnerID=40&md5=6fb81f7d09a549adb540dc4685cc5bda. Disponible en: 10.1088/1742-6596/1065/18/182001.
Soubeyrand, M; Assabah, B; Bégin, M; Laemmel, E; Dos Santos, A; Crézé, M (2017) Pronation and supination of the hand: Anatomy and biomechanics. En: Hand Surgery and Rehabilitation. Vol. 36; No. 1; pp. 2-11; Elsevier Masson; Disponible en: 10.1016/J.HANSUR.2016.09.012.
Soman, Sumit; Jayadeva, D; Arjunan, Sridhar; Kumar, Dinesh Kant; Jayadeva; Arjunan, Sridhar; Kumar, Dinesh Kant (2016) Improved sEMG signal classification using the Twin SVM. En: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). pp. 4507-4512; VO-; Disponible en: 10.1109/SMC.2016.7844942.
Simão, Miguel; Neto, P; Gibaru, Olivier (2019) EMG-based online classification of gestures with recurrent neural networks. En: Pattern Recognition Letters. Vol. 128; pp. 45-51; Disponible en: 10.1016/j.patrec.2019.07.021.
Shi, W.-T.; Lyu, Z.-J.; Tang, S.-T.; Chia, T.-L.; Yang, C.-Y. (2018) A bionic hand controlled by hand gesture recognition based on surface EMG signals: A preliminary study. En: Biocybernetics and Biomedical Engineering. Vol. 38; No. 1; pp. 126-135; Department of Biomedical Engineering, Ming-Chuan University, Taoyuan, Taiwan: PWN-Polish Scientific Publishers; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034738298&doi=10.1016%2Fj.bbe.2017.11.001&partnerID=40&md5=23bd5d5473c7930741184831af9d9d0d. Disponible en: 10.1016/j.bbe.2017.11.001.
Sharif, Hajar; Seo, Seung Byum; Kesavadas, Thenkurussi K (2020) Hand gesture recognition using surface electromyography. En: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Vol. 2020-July; pp. 682-685; 9781728119908; Disponible en: 10.1109/EMBC44109.2020.9175770.
Restrepo, Liliana Andrea Rendón; Suárez, Julio César Correa; Martínez, María Elena Giraldo (2011) Costo de las infecciones del sitio operatorio en una institución de alta complejidad. Medellín – Colombia, 2008-2009 (Cost of operative site infections in an institution of high complexity. Medellin. En: CES Salud Pública. Vol. 2; No. 2; pp. 169-186; Disponible en: https://revistas.ces.edu.co/index.php/ces_salud_publica/article/view/1997. Disponible en: 10.21615/1997.
Rabin, Neta; Kahlon, Maayan; Malayev, Sarit; Ratnovsky, Anat (2020) Classification of human hand movements based on EMG signals using nonlinear dimensionality reduction and data fusion techniques. En: Expert Systems with Applications. Vol. 149; pp. 113281-113281; Elsevier Ltd; Disponible en: https://doi.org/10.1016/j.eswa.2020.113281. Disponible en: 10.1016/j.eswa.2020.113281.
Quivira, F; Koike-Akino, T; Wang, Y; Erdogmus, D (2018) Translating sEMG signals to continuous hand poses using recurrent neural networks. En: 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). pp. 166-169; VO-; Disponible en: 10.1109/BHI.2018.8333395.
Putra, D S; Weru, Y U W; Fitriady, F (2019) Pattern recognition of electromyography (EMG) signal for wrist movement using learning vector quantization (LVQ). En: 1st South Aceh International Conference on Engineering and Technology, SAICOET 2018. Vol. 506; Informatics Engineering, Politeknik Aceh Selatan, Tapaktuan, 23711, Indonesia: Institute of Physics Publishing; 17578981 (ISSN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065603814&doi=10.1088%2F1757-899X%2F506%2F1%2F012020&partnerID=40&md5=d3df59c69e0ee73ee05a6d0506741095. Disponible en: 10.1088/1757-899X/506/1/012020.
Putra, D S; Weru, Y U W; Fitriady, F (2019) Pattern recognition of electromyography (EMG) signal for wrist movement using learning vector quantization (LVQ). En: 1st South Aceh International Conference on Engineering and Technology, SAICOET 2018. Vol. 506; No. 1; Informatics Engineering, Politeknik Aceh Selatan, Tapaktuan, 23711, Indonesia: Institute of Physics Publishing; 17578981 (ISSN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065603814&doi=10.1088%2F1757-899X%2F506%2F1%2F012020&partnerID=40&md5=d3df59c69e0ee73ee05a6d0506741095. Disponible en: 10.1088/1757-899X/506/1/012020.
Priadythama, I; Laksono, P W; Susmartini, S; Pamungkas, A (2017) Study of optimum surface electrode positioning for myoelectric signal detection of typical human grasping. En: Journal of Telecommunication, Electronic and Computer Engineering. Vol. 9; No. 1-5; pp. 17-21; Industrial Engineering Department, Surakarta, Indonesia: Universiti Teknikal Malaysia Melaka; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020772058&partnerID=40&md5=2d64b6f17c13d2330697c6781a31749e.
PLC, Medtronic; StealthStation Surgical Navigation. Disponible en: https://www.medtronic.com/us-en/healthcare-professionals/products/neurological/surgical-navigation-systems/stealthstation/cranial-neurosurgery-navigation.html.
Pizzolato, Stefano; Tagliapietra, Luca; Cognolato, Matteo; Reggiani, Monica; Müller, Henning; Atzori, Manfredo (2017) Comparison of six electromyography acquisition setups on hand movement classification tasks. En: PLoS ONE. Vol. 12; No. 10; pp. 1-17; 1111111111; Disponible en: 10.1371/journal.pone.0186132.
Pizzolato, Stefano; Tagliapietra, Luca; Cognolato, Matteo; Reggiani, Monica; Müller, Henning; Atzori, Manfredo (2017) Comparison of six electromyography acquisition setups on hand movement classification tasks. En: PLoS ONE. Vol. 12; No. 10; Public Library of Science; Disponible en: 10.1371/journal.pone.0186132.
Phinyomark, Angkoon; N Khushaba, Rami; Scheme, Erik (2018) Feature Extraction and Selection for Myoelectric Control Based on Wearable EMG Sensors. En: Sensors (Basel, Switzerland). Vol. 18; No. 5; Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB E3B 5A3, Canada. aphinyom@unb.ca.: MDPI; Disponible en: http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=29783659&lang=es&site=ehost-live. Disponible en: 10.3390/s18051615.
Patel, Aditya; Ramsay, James; Imtiaz, Mohammad; Lu, Yufeng (2019) EMG-based Human Machine Interface Control. En: 2019 12th International Conference on Human System Interaction (HSI). pp. 127-131; Disponible en: 10.1109/HSI47298.2019.8942598.
Park, J; Kim, S J; Kyeong, S; Kim, J; Na, Y (2018) Feasibility of proportional EMG control for a hand exoskeleton: A Fitts' Law approach. En: IFAC-PapersOnLine. Vol. 51; No. 22; pp. 214-219; Department of Mechanical Engineering, KAIST, Daejeon, South Korea: Elsevier B.V.; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058235285&doi=10.1016%2Fj.ifacol.2018.11.544&partnerID=40&md5=9630de499a65d92a95932baa22cf0b56. Disponible en: 10.1016/j.ifacol.2018.11.544.
Parajuli, Nawadita; Sreenivasan, Neethu; Bifulco, Paolo; Cesarelli, Mario; Savino, Sergio; Niola, Vincenzo; Esposito, Daniele; Hamilton, Tara J; Naik, Ganesh R; Gunawardana, Upul; Gargiulo, Gaetano D (2019) Real-time EMG based pattern recognition control for hand prostheses: A review on existing methods, challenges and future implementation. En: Sensors (Switzerland). Vol. 19; No. 20; Disponible en: 10.3390/s19204596.
Osuna, Sandra; Gonzalez, John; Ilzarbe, Amaia (2013) Procesado de señales EMG en Trastornos Neuromusculares. En: ResearchGate. No. JUNE 2013; pp. 0-24; Disponible en: 10.13140/2.1.4902.9445.
Nissler, C; Mouriki, N; Castellini, C (2016) Optical myography: Detecting finger movements by looking at the forearm. En: Frontiers in Neurorobotics. Vol. 10; No. APR; German Aerospace Center (DLR), Institute of Robotics and Mechatronics, Wessling, Germany: Frontiers Research Foundation; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84993985144&doi=10.3389%2Ffnbot.2016.00003&partnerID=40&md5=3e8f00aad075b8699245f47114ccc001. Disponible en: 10.3389/fnbot.2016.00003.
Nishikawa, A; Hosoi, T; Koara, K; Negoro, D; Hikita, A; Asano, S; Kakutani, H; Miyazaki, F; Sekimoto, M; Yasui, M; Miyake, Y; Takiguchi, S; Monden, M (2003) FAce MOUSe: A novel human-machine interface for controlling the position of a laparoscope. En: IEEE Transactions on Robotics and Automation. Vol. 19; No. 5; pp. 825-841; Disponible en: 10.1109/TRA.2003.817093.
Moran, Christine A (1989) Anatomy of the Hand. En: Physical Therapy. Vol. 69; No. 12; pp. 1007-1013; Oxford Academic; Disponible en: https://academic.oup.com/ptj/article/69/12/1007/2728477. Disponible en: 10.1093/PTJ/69.12.1007.
Menon, R; Di Caterina, G; Lakany, H; Petropoulakis, L; Conway, B A; Soraghan, J J (2017) Study on Interaction between Temporal and Spatial Information in Classification of EMG Signals for Myoelectric Prostheses. En: IEEE Transactions on Neural Systems and Rehabilitation Engineering. Vol. 25; No. 10; pp. 1832-1842; Department of Electronic and Electrical Engineering, Centre for Signal and Image Processing, University of Strathclyde, Glasgow, G1 1XW, United Kingdom: Institute of Electrical and Electronics Engineers Inc.; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031412846&doi=10.1109%2FTNSRE.2017.2687761&partnerID=40&md5=eb20e59789b747ba592d50746ee30eff. Disponible en: 10.1109/TNSRE.2017.2687761.
MA, Jun; DING, Yuexiong; Cheng, Jack; Tan, Yi; Gan, Vincent; ZHANG, Jingcheng (2019) Analyzing the Leading Causes of Traffic Fatalities Using XGBoost and Grid-Based Analysis: A City Management Perspective. En: IEEE Access. Vol. PP; pp. 1-1; Disponible en: 10.1109/ACCESS.2019.2946401.
Liu, J; Chen, W; Li, M; Kang, X (2016) Continuous recognition of multifunctional finger and wrist movements in amputee subjects based on sEMG and accelerometry. En: Open Biomedical Engineering Journal. Vol. 10; pp. 101-110; Department of Communication Engineering, Jilin University, Changchun, 130012, China: Bentham Science Publishers B.V.; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034950839&doi=10.2174%2F1874120701610010101&partnerID=40&md5=b474a2a061a046a6710cc7c980bd454e. Disponible en: 10.2174/1874120701610010101.
Kwon, Suncheol; Kim, Jung (2011) Real-Time Upper Limb Motion Estimation From Surface Electromyography and Joint Angular Velocities Using an Artificial Neural Network for Human–Machine Cooperation. En: IEEE Transactions on Information Technology in Biomedicine. Vol. 15; No. 4; pp. 522-530; Disponible en: 10.1109/TITB.2011.2151869.
Kopke, Joseph V; Hargrove, Levi J; Ellis, Michael D (2019) Applying LDA-based pattern recognition to predict isometric shoulder and elbow torque generation in individuals with chronic stroke with moderate to severe motor impairment. En: Journal Of Neuroengineering And Rehabilitation. Vol. 16; No. 1; pp. 35-35; Department of Biomedical Engineering, McCormick School of Engineering, 645 N Michigan Ave, Suite 1109, Chicago, IL, 60611, USA.; Center for Bionic Medicine, 355 East Erie, Chicago, IL, 60611, USA.; Department of Physical Therapy and Human Movement Science: BioMed Central; Disponible en: http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=30836971&lang=es&site=ehost-live. Disponible en: 10.1186/s12984-019-0504-1.
Khushaba, Rami N; Al-Timemy, Ali H; Al-Ani, Ahmed; Al-Jumaily, Adel (2017) A Framework of Temporal-Spatial Descriptors-Based Feature Extraction for Improved Myoelectric Pattern Recognition. En: IEEE Transactions On Neural Systems And Rehabilitation Engineering: A Publication Of The IEEE Engineering In Medicine And Biology Society. Vol. 25; No. 10; pp. 1821-1831; United States: IEEE; Disponible en: http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cmedm&AN=28358690&lang=es&site=ehost-live. Disponible en: 10.1109/TNSRE.2017.2687520.
Kapandji, Adalbert I; Others (1998) Fisiologia articular. : Médica Panamericana
Kadhim, A.A.-S.N.; Sattar, M A; Waleed, A S R (2018) Prosthetic hand control using wearable gesture armband based on surface electromyography. En: ARPN Journal of Engineering and Applied Sciences. Vol. 13; No. 24; pp. 9662-9669; Department of Mechanical Engineering, Al-Nahrain University College of Engineering, Iraq: Asian Research Publishing Network; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059565636&partnerID=40&md5=7791aa4435692b6feb0bc28d3ad0c919.
Jimenez, D A; Padilla, J B; Arango, R; Garcia, H F (2017) Human-Computer Interaction for Image Guided Surgery Systems using Physiological Signals: Application to Deep Brain Stimulation Surgery. En: VII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th-28th, 2016. pp. 737-740; Singapore: Springer Singapore; 978-981-10-4086-3
Jiang, Shuo; Gao, Qinghua; Liu, Huaiyang; Shull, Peter B (2020) A novel, co-located EMG-FMG-sensing wearable armband for hand gesture recognition. En: Sensors and Actuators, A: Physical. Vol. 301; Elsevier B.V.; Disponible en: 10.1016/J.SNA.2019.111738.
Jarrassé, N; Nicol, C; Touillet, A; Richer, F; Martinet, N; Paysant, J; de Graaf, J B; Jarrasse, N; Nicol, C; Touillet, A; Richer, F; Martinet, N; Paysant, J; De Graaf, J B (2017) Classification of Phantom Finger, Hand, Wrist, and Elbow Voluntary Gestures in Transhumeral Amputees with sEMG. En: IEEE Transactions on Neural Systems and Rehabilitation Engineering. Vol. 25; No. 1; pp. 71-80; CNRS, Sorbonne University, UPMC University Paris 06, Paris, 75794, France: Institute of Electrical and Electronics Engineers Inc.; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011629291&doi=10.1109%2FTNSRE.2016.2563222&partnerID=40&md5=a469865f7c9e184cff82daccc89addfb. Disponible en: 10.1109/TNSRE.2016.2563222.
Irzmańska, E; Okrasa, M (2016) Preliminary study evaluating manual dexterity tests assessing gloves protecting against cuts and stabs by hand knives. En: International Journal of Industrial Ergonomics. Vol. 56; pp. 138-149; Central Institute for Labour Protection, National Research Institute, Department of Personal Protective Equipment, 48 Wierzbowa Str., Lodz, Poland: Elsevier B.V.; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994560148&doi=10.1016%2Fj.ergon.2016.10.004&partnerID=40&md5=b0ebc74a7a9a66ecc23ef25972588554. Disponible en: 10.1016/j.ergon.2016.10.004.
Huang, Y; Yang, X; Li, Y; Zhou, D; He, K; Liu, H (2018) Ultrasound-Based Sensing Models for Finger Motion Classification. En: IEEE Journal of Biomedical and Health Informatics. Vol. 22; No. 5; pp. 1395-1405; State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China: Institute of Electrical and Electronics Engineers Inc.; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032453062&doi=10.1109%2FJBHI.2017.2766249&partnerID=40&md5=40757d18a30bdb86b9a46130c026a8db. Disponible en: 10.1109/JBHI.2017.2766249.
Hales, Brigette; Terblanche, Marius; Fowler, Robert; Sibbald, William (2008) Development of medical checklists for improved quality of patient care. En: International Journal for Quality in Health Care. Vol. 20; No. 1; pp. 22-30; Disponible en: https://doi.org/10.1093/intqhc/mzm062. Disponible en: 10.1093/intqhc/mzm062.
Ha, N; Withanachchi, G P; Yihun, Y (2019) Performance of Forearm FMG for Estimating Hand Gestures and Prosthetic Hand Control. En: Journal of Bionic Engineering. Vol. 16; No. 1; pp. 88-98; Department of Mechanical Engineering, Wichita State University, Washington, United States: Springer; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060244365&doi=10.1007%2Fs42235-019-0009-4&partnerID=40&md5=084e1e58f4550d0acadbfc2a21e9474c. Disponible en: 10.1007/s42235-019-0009-4.
Fu, J; Xiong, L; Song, X; Yan, Z; Xie, Y (2018) Identification of finger movements from forearm surface EMG using an augmented probabilistic neural network. En: 2017 IEEE/SICE International Symposium on System Integration, SII 2017. Vol. 2018-Janua; pp. 547-552; Chongqing Institutes of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China: Institute of Electrical and Electronics Engineers Inc.; 9781538622636 (ISBN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050857772&doi=10.1109%2FSII.2017.8279278&partnerID=40&md5=4a232afb6a4461748f0d49764c29c46b. Disponible en: 10.1109/SII.2017.8279278.
Ding, S; Gao, W; Sun, X; Zhang, C; Zhang, C; Guo, M (2018) Extraction of Electromyographic Signals for Multiple-Hand-Motion Recognition via Sparse Representation Technique. En: 2018 Chinese Automation Congress, CAC 2018. pp. 3661-3665; School of Mechanical Vehicle Engineering, Linyi University, Linyi, China: Institute of Electrical and Electronics Engineers Inc.; VO-; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062801693&doi=10.1109%2FCAC.2018.8623061&partnerID=40&md5=3676a788d7e9ad537daed1fe0793dde2. Disponible en: 10.1109/CAC.2018.8623061.
Celadon, Nicolo; Dozen, Strahinja; Binder, Iris; Ariano, Paolo; Farina, Dario; Dovsen, Strahinja (2016) Proportional estimation of finger movements from high-density surface electromyography. En: Journal of NeuroEngineering & Rehabilitation (JNER). Vol. 13; pp. 1-19; BioMed Central
Côté-Allard, Ulysse; Gagnon-Turcotte, Gabriel; Laviolette, François; Gosselin, Benoit (2019) A low-cost, wireless, 3-D-printed custom armband for semg hand gesture recognition. En: Sensors (Switzerland). Vol. 19; No. 12; pp. 1-24; Disponible en: 10.3390/s19122811.
Qi, Jinxian; Jiang, Guozhang; Li, Gongfa; Sun, Ying; Tao, Bo (2019) Intelligent Human-Computer Interaction Based on Surface EMG Gesture Recognition. En: IEEE Access. Vol. 7; pp. 61378-61387
Bradley, Efron (2010) Leave-One-Out Cross-Validation. En: Encyclopedia of Machine Learning. pp. 600-601; Boston, MA: Springer US; 978-0-387-30164-8; Disponible en: https://doi.org/10.1007/978-0-387-30164-8_469. Disponible en: 10.1007/978-0-387-30164-8_469.
Kubat, Klapan Duspara Majhen Benic Kostelac; Berlengi (2017) What is the future of minimally invasive surgery in rhinology: markerbased virtual reality simulation with touch free surgeon’s commands. En: Otolaryngol. Head Neck Surg.
Muhammad, Uzair; Sipra, Khadija Amjad; Waqas, Muhammad; Tu, Shanshan; Koubaa, Anis (2020) POSTER: Human-Robot Interaction: A Myo Armband Using EMG and IMU Signals. En: 2020 First International Conference of Smart Systems and Emerging Technologies. pp. 251-252
BERNHARDT, PAUL (2015) MYO logging IMU and Raw Data. Disponible en: https://developerblog.myo.com/myocraft-logging-imu-and-raw-emg-data/.
Behrenbeck, J; Tayeb, Z; Bhiri, C; Richter, C; Rhodes, O; Kasabov, N; Espinosa-Ramos, J I; Furber, S; Cheng, G; Conradt, J (2019) Classification and regression of spatio-temporal signals using NeuCube and its realization on SpiNNaker neuromorphic hardware. En: Journal of Neural Engineering. Vol. 16; No. 2; Department of Mechanical Engineering, Technical University of Munich, Munich, Germany: Institute of Physics Publishing; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062856050&doi=10.1088%2F1741-2552%2Faafabc&partnerID=40&md5=1c22e720d6bedf96bbdb03790e9c8dce. Disponible en: 10.1088/1741-2552/aafabc.
Bai, D; Zhang, S; Yang, J; Jiang, Y; Yokoi, H (2016) Recognition system of finger motion pattern based on AR model coefficient estimation. En: 2016 IEEE International Conference on Information and Automation (ICIA). pp. 1249-1254; VO-; Disponible en: 10.1109/ICInfA.2016.7832011.
Bai, D; Zhang, S; Yang, J; Jiang, Y; Yokoi, H (2017) Recognition System of finger motion pattern based on AR model coefficient estimation. En: 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016. pp. 1249-1254; School of Electrical Engineering, Shenyang University of Technology, Shenyang, Liaoning Province, China: Institute of Electrical and Electronics Engineers Inc.; 9781509041022 (ISBN); Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015734716&doi=10.1109%2FICInfA.2016.7832011&partnerID=40&md5=4749e2e88f16c41d1d6bff7d0b5b0462. Disponible en: 10.1109/ICInfA.2016.7832011.
Atzori, Manfredo; Gijsberts, Arjan; Castellini, Claudio; Caputo, Barbara; Hager, Anne Gabrielle Mittaz; Elsig, Simone; Giatsidis, Giorgio; Bassetto, Franco; Müller, Henning (2014) Electromyography data for non-invasive naturally-controlled robotic hand prostheses. En: Scientific Data. Vol. 1; pp. 1-13; Disponible en: 10.1038/sdata.2014.53.
Anam, Khairul; Al-Jumaily, Adel (2017) Evaluation of extreme learning machine for classification of individual and combined finger movements using electromyography on amputees and non-amputees. En: Neural Networks. Vol. 85; pp. 51-68; Disponible en: http://10.0.3.248/j.neunet.2016.09.004; http://ez.urosario.edu.co/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=120017193&lang=es&site=ehost-live.
Ameri, Ali; Akhaee, Mohammad Ali; Scheme, Erik; Englehart, Kevin (2020) A Deep Transfer Learning Approach to Reducing the Effect of Electrode Shift in EMG Pattern Recognition-Based Control. En: IEEE Transactions on Neural Systems and Rehabilitation Engineering. Vol. 28; No. 2; pp. 370-379; Disponible en: 10.1109/TNSRE.2019.2962189.
Alam, R; Rhivu, S R; Haque, M A (2018) Improved Gesture Recognition Using Deep Neural Networks on sEMG. En: 2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST). pp. 1-4; VO-; Disponible en: 10.1109/ICEAST.2018.8434493.
Akhlaghi, Nima; Baker, Clayton A; Lahlou, Mohamed; Zafar, Hozaifah; Murthy, Karthik G; Rangwala, Huzefa S; Kosecka, Jana; Joiner, Wilsaan M; Pancrazio, Joseph J; Sikdar, Siddhartha (2016) Real-time classification of hand motions using ultrasound imaging of forearm muscles. En: IEEE Transactions on Biomedical Engineering. Vol. 63; No. 8; pp. 1687-1698; Disponible en: 10.1109/TBME.2015.2498124.
Akhlaghi, N; Baker, C A; Lahlou, M; Zafar, H; Murthy, K G; Rangwala, H S; Kosecka, J; Joiner, W M; Pancrazio, J J; Sikdar, S (2016) Real-time classification of hand motions using ultrasound imaging of forearm muscles. En: IEEE Transactions on Biomedical Engineering. Vol. 63; No. 8; pp. 1687-1698; Electrical and Computer Engineering Department, George Mason University, United States: IEEE Computer Society; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84986242737&doi=10.1109%2FTBME.2015.2498124&partnerID=40&md5=cacd5a3d865ad705e263209da862d062. Disponible en: 10.1109/TBME.2015.2498124.
Afkari, Hoorieh; Bednarik, Roman; Mäkelä, Susanne; Eivazi, Shahram (2016) Mechanisms for maintaining situation awareness in the micro-neurosurgical operating room. En: International Journal of Human-Computer Studies. Vol. 95; pp. 1-14; Disponible en: https://www.sciencedirect.com/science/article/pii/S1071581916300489. Disponible en: https://doi.org/10.1016/j.ijhcs.2016.05.004.
Repositorio EdocUR-U. Rosario
Universidad del Rosario
instacron:Universidad del Rosario
Las salas de cirugía son de los ambientes en donde se aplican más protocolos de seguridad y de control, comparados incluso con ambientes como la aeronáutica (Hales et al., 2008). Uno de los protocolos de estricto control en las salas de cirugía d
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