Enhanced Recognition of Amputated Wrist and Hand Movements by Deep Learning Method Using Multimodal Fusion of Electromyography and Electroencephalography

Motion classification can be performed using biometric signals recorded by electroencephalography (EEG) or electromyography (EMG) with noninvasive surface electrodes for the control of prosthetic arms. However, current single-modal EEG and EMG based motion classification techniques are limited owing...

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Detalles Bibliográficos
Autores principales: Kim, Sehyeon, Shin, Dae Youp, Kim, Taekyung, Lee, Sangsook, Hyun, Jung Keun, Park, Sung-Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8778369/
https://www.ncbi.nlm.nih.gov/pubmed/35062641
http://dx.doi.org/10.3390/s22020680

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8778369/
https://www.ncbi.nlm.nih.gov/pubmed/35062641
http://dx.doi.org/10.3390/s22020680

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