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SEMG-based control strategy for a hand exoskeleton system

Record Type:	Electronic resources : Monograph/item
Title/Author:	SEMG-based control strategy for a hand exoskeleton systemby Nicola Secciani.
Author:	Secciani, Nicola.
Published:	Cham :Springer International Publishing :2022.
Description:	xviii, 91 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Robotics in medicine.
Online resource:	https://doi.org/10.1007/978-3-030-90283-4
ISBN:	9783030902834$q(electronic bk.)

SEMG-based control strategy for a hand exoskeleton system
Secciani, Nicola.

SEMG-based control strategy for a hand exoskeleton system[electronic resource] /by Nicola Secciani. - Cham :Springer International Publishing :2022. - xviii, 91 p. :ill., digital ;24 cm. - Springer theses,2190-5061. - Springer theses..

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.

ISBN: 9783030902834$q(electronic bk.)

Standard No.: 10.1007/978-3-030-90283-4doiSubjects--Topical Terms:

276733
Robotics in medicine.

LC Class. No.: RD755 / .S43 2022

Dewey Class. No.: 681.761

SEMG-based control strategy for a hand exoskeleton system
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505 0 $a Introduction -- Background: first-stage device -- The new control system -- Tests and results.
520 $a 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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