sEMG-based Control Strategy for a Hand Exoskeleton System / by Nicola Secciani
By: Secciani, Nicola, autor
Material type:
E-bookSeries: (Springer Theses Recognizing Outstanding Ph.D. Research, 2190-5061).Publisher: Cham : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XVIII, 91 páginas) : 46 ilustraciones, 37 ilustraciones a color.ISBN: 9783030902834.Subject: Robótica médica
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias de la Salud | RD755 2022 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.09012731 |
Introduction -- Background: first-stage device -- The new control system -- Tests and results.
This book reports on the design and testing of an sEMG-based control strategy for a fully-wearable low-cost hand exoskeleton. It describes in detail the modifications carried out to the electronics of a previous prototype, covering in turn the implementation of an innovative sEMG classifier for predicting the wearer's motor intention and driving the exoskeleton accordingly. While similar classifier have been widely used for motor intention prediction, their application to wearable device control has been neglected so far. Thus, this book fills a gap in the literature providing readers with extensive information and a source of inspiration for the future design and control of medical and assistive devices.
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