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SEMG-based control strategy for a ha...

Secciani, Nicola.

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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 system/ by Nicola Secciani.
Author:	Secciani, Nicola.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xviii, 91 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Background: first-stage device -- The new control system -- Tests and results.
Contained By:	Springer Nature eBook
Subject:	Robotics in medicine. -
Online resource:	https://doi.org/10.1007/978-3-030-90283-4
ISBN:	9783030902834

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

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

894868
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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260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xviii, 91 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer theses, $x 2190-5061
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.
650 0 $a Robotics in medicine. $3 894868
650 0 $a Self-help devices for people with disabilities. $3 556695
650 0 $a Robotic exoskeletons. $3 1532787
650 1 4 $a Biomedical Engineering and Bioengineering. $3 3381533
650 2 4 $a Robotics and Automation. $3 1066695
650 2 4 $a User Interfaces and Human Computer Interaction. $3 892554
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