Zobrazeno 1 - 10
of 210
pro vyhledávání: '"Jose L Contreras Vidal"'
Autor:
Sagila K Gangadharan, Subasree Ramakrishnan, Andrew Paek, Akshay Ravindran, Vinod A. Prasad, Jose L. Contreras Vidal
Publikováno v:
Annals of Indian Academy of Neurology, Vol 27, Iss 3, Pp 297-306 (2024)
Objective: Motor imagery-based brain–computer interface (MI-BCI) is a promising novel mode of stroke rehabilitation. The current study aims to investigate the feasibility of MI-BCI in upper limb rehabilitation of chronic stroke survivors and also t
Externí odkaz:
https://doaj.org/article/9c6bcb53fa2c447984e96e9d70d175e3
Publikováno v:
Sensors, Vol 24, Iss 20, p 6645 (2024)
Although significant progress has been made in understanding the cortical correlates underlying balance control, these studies focused on a single task, limiting the ability to generalize the findings. Different balance tasks may elicit cortical acti
Externí odkaz:
https://doaj.org/article/94ce9d9e52f04312a5c904a86c497ffe
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 476-485 (2022)
Naturally occurring postural instabilities that occur while standing and walking elicit specific cortical responses in the fronto-central regions (N1 potentials) followed by corrective balance responses to prevent falling. However, no framework could
Externí odkaz:
https://doaj.org/article/f4f78662385d4b8c9ed3c3fedf13edcf
Autor:
Alexander Craik, Juan José González-España, Ayman Alamir, David Edquilang, Sarah Wong, Lianne Sánchez Rodríguez, Jeff Feng, Gerard E. Francisco, Jose L. Contreras-Vidal
Publikováno v:
Sensors, Vol 23, Iss 13, p 5930 (2023)
Objective: We designed and validated a wireless, low-cost, easy-to-use, mobile, dry-electrode headset for scalp electroencephalography (EEG) recordings for closed-loop brain–computer (BCI) interface and internet-of-things (IoT) applications. Approa
Externí odkaz:
https://doaj.org/article/e4e2b2611d45475c9d7b5e961164d926
Autor:
Andrew Y. Paek, Justin A. Brantley, Akshay Sujatha Ravindran, Kevin Nathan, Yongtian He, David Eguren, Jesus G. Cruz-Garza, Sho Nakagome, Dilranjan S. Wickramasuriya, Jiajun Chang, Md Rashed-Al-Mahfuz, Md. Rafiul Amin, Nikunj A. Bhagat, Jose L. Contreras-Vidal
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 2, Pp 84-90 (2021)
The control and manipulation of various types of end effectors such as powered exoskeletons, prostheses, and ‘neural’ cursors by brain-machine interface (BMI) systems has been the target of many research projects. A seamless “plug and play” i
Externí odkaz:
https://doaj.org/article/a65b680a18444570b3a5d997aefc9113
Autor:
Jesus G. Cruz-Garza, Akshay Sujatha Ravindran, Anastasiya E. Kopteva, Cristina Rivera Garza, Jose L. Contreras-Vidal
Publikováno v:
Frontiers in Human Neuroscience, Vol 14 (2020)
Two stages of the creative writing process were characterized through mobile scalp electroencephalography (EEG) in a 16-week creative writing workshop. Portable dry EEG systems (four channels: TP09, AF07, AF08, TP10) with synchronized head accelerati
Externí odkaz:
https://doaj.org/article/9fc508bb962849b2a79a86b97ca98b10
Autor:
Nikunj A. Bhagat, Nuray Yozbatiran, Jennifer L. Sullivan, Ruta Paranjape, Colin Losey, Zachary Hernandez, Zafer Keser, Robert Grossman, Gerard E. Francisco, Marcia K. O'Malley, Jose L. Contreras-Vidal
Publikováno v:
NeuroImage: Clinical, Vol 28, Iss , Pp 102502- (2020)
Brain-machine interfaces (BMI) based on scalp EEG have the potential to promote cortical plasticity following stroke, which has been shown to improve motor recovery outcomes. However, the efficacy of BMI enabled robotic training for upper-limb recove
Externí odkaz:
https://doaj.org/article/b63ba29085c341bbbd87a1bad619ef8e
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
Abstract Recent advances in non-invasive brain-computer interface (BCI) technologies have shown the feasibility of neural decoding for both users’ gait intent and continuous kinematics. However, the dynamics of cortical involvement in human upright
Externí odkaz:
https://doaj.org/article/e91d28c2f0df4036b55dd3662e42cc4a
Autor:
Alexander R Craik, Juan Jose Gonzalez-Espana, Ayman Alamir, David Edquilang, Sarah Wong, Lianne Sanchez Rodriguez, Jeff Feng, Gerard E Francisco, Jose L Contreras-Vidal
Objective: Design and validate a wireless, low-cost, easy-to-use, mobile, dry-electrode headset for scalp electroencephalography (EEG) recordings for closed-loop brain-computer (BCI) interface and internet-of-things (IoT) applications. Approach: The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2a3a1cf08663fea535d7d3788e9e5b5
https://doi.org/10.20944/preprints202305.1038.v1
https://doi.org/10.20944/preprints202305.1038.v1
Publikováno v:
Handbook of Neuroengineering ISBN: 9789811655395
Handbook of Neuroengineering ISBN: 9789811528484
Handbook of Neuroengineering ISBN: 9789811528484
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::354f3a90f0f27077494a97bdc9ff6bcf
https://doi.org/10.1007/978-981-16-5540-1_35
https://doi.org/10.1007/978-981-16-5540-1_35