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 |
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| RD750 .O784 2016 EB Orthopedics in Disasters : Orthopedic Injuries in Natural Disasters and Mass Casualty Events | RD750 .O784 2017 EB Orthopedic emergencies | RD755 2021 EB Clinical Atlas of 3D Printing Bone Reconstruction | RD755 2022 EB sEMG-based Control Strategy for a Hand Exoskeleton System | RD755 2023 EB Orthopaedic Pillow : Theory and Practice | RD755.5 2009 EB Imaging of orthopaedic fixation devices and prostheses | RD755.5 2018 EB Radiology of Orthopedic Implants |
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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