Adaptive spatial filter based on similarity indices to preserve the neural information on EEG signals during on-line processing

Autor: Teodiano Bastos-Filho, Eduardo Rocon, Alberto López-Delis, Denis Delisle-Rodriguez, Ana Cecilia Villa-Parra, Anselmo Frizera-Neto, Sridhar Krishnan

Publikováno v: Sensors (Basel, Switzerland)
Sensors; Volume 17; Issue 12; Pages: 2725
Sensors, Vol 17, Iss 12, p 2725 (2017)
Digital.CSIC. Repositorio Institucional del CSIC
instname

This work presents a new on-line adaptive filter, which is based on a similarity analysis between standard electrode locations, in order to reduce artifacts and common interferences throughout electroencephalography (EEG) signals, but preserving the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53dd32c0f500a40644e1ae37e2b0ec63
https://doi.org/10.32920/14668848.v1

Enhancement of Upper Limb Movement Classification based on Wiener Filtering Technique

Autor: Yazan Ali Jarrah, Oluwarotimi Williams Samuel, Xin Wang, Shixiong Chen, Huang Weimin, Mingxing Zhu, Guanglin Li, Asogbon Mojisola Grace, Alberto López Delis

Publikováno v: HealthCom

Electromyogram pattern recognition (EMG-PR) is considered a potential method for upper limb prosthesis control. In principle, the feature extraction technique has been ranked the most influential factor that affect the EMG-PR method's performance. De

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5345640967b065f8eca67f31ab8a0182
https://doi.org/10.1109/healthcom49281.2021.9398968

Shoulder Flexion Pre-Movement Recognition Through Subject-Specific Brain Regions to Command an Upper Limb Exoskeleton

Autor: Leondry Mayeta-Revilla, Sri Krishnan, Alberto López-Delis, Denis Delisle-Rodriguez, Ramon A. Reinoso-Leblanch, Adson Ferreira da Rocha, Dharmendra Gurve, Yunier Prieur-Coloma, Teodiano Bastos

Publikováno v: EMBC

This work presents two brain-computer interfaces (BCIs) for shoulder pre-movement recognition using: 1) manual strategy for Electroencephalography (EEG) channels selection, and 2) subject-specific channels selection by applying non-negative factoriza

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de392402cb24953943b67ec44fee186d
https://pubmed.ncbi.nlm.nih.gov/33018840

Entropy and Clustering Information Applied to sEMG Classification

Autor: Pedro H. G. Inazawa, Vinicius O. Silva, Paulo V. P. Cotta, Adson Ferreira da Rocha, Michael D. C. de Araujo, Luiz José Lucas Barbosa, Fernando V. G. de Souza, Otavio Nogueira, Alberto López-Delis

Publikováno v: EMBC

The EMG signal is very difficult to classify due to the stochastic complexity of its characteristics. A way to reduce the complexity of a signal is to use clusters to resize them to a smaller space and then perform the classification. A classificatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b78d59acfe393ffa1aa912c7a79ef3b
https://doi.org/10.1109/embc44109.2020.9175881

Discrimination of Shoulder Flexion/Extension Motor Imagery Through EEG Spatial Features to Command an Upper Limb Robotic Exoskeleton

Autor: Teodiano Bastos, Alberto López-Delis, Leondry Mayeta-Revilla, Yunier Prieur-Coloma, Ramon A. Reinoso-Leblanch, Denis Delisle-Rodriguez, Roberto Sagaró-Zamora

Publikováno v: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030339036
CIARP

This work presents a comparison between two methods for spatial feature extraction applied on a system to recognize shoulder flexion/extension motor imagery (SMI) tasks to convey on-line control commands towards a 4 degrees-of-freedom (DoF) upper-lim

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0e9944ce846be462a4c5d0679811477f
https://doi.org/10.1007/978-3-030-33904-3_60