Artificial neural network EMG classifier for functional hand grasp movements prediction

OBJECTIVE: To design and implement an electromyography (EMG)-based controller for a hand robotic assistive device, which is able to classify the user's motion intention before the effective kinematic movement execution. METHODS: Multiple degrees-of-freedom hand grasp movements (i.e. pinching, g...

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Detalles Bibliográficos
Autores principales: Gandolla, Marta, Ferrante, Simona, Ferrigno, Giancarlo, Baldassini, Davide, Molteni, Franco, Guanziroli, Eleonora, Cotti Cottini, Michele, Seneci, Carlo, Pedrocchi, Alessandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2016
Materias:
Special Issue: Stroke research: current advances and future hopes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805179/
https://www.ncbi.nlm.nih.gov/pubmed/27677300
http://dx.doi.org/10.1177/0300060516656689

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805179/
https://www.ncbi.nlm.nih.gov/pubmed/27677300
http://dx.doi.org/10.1177/0300060516656689

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