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001442864 001__ 1442864
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001442864 020__ $$a9783030902834$$q(electronic bk.)
001442864 020__ $$a3030902838$$q(electronic bk.)
001442864 020__ $$z9783030902827
001442864 020__ $$z303090282X
001442864 0247_ $$a10.1007/978-3-030-90283-4$$2doi
001442864 035__ $$aSP(OCoLC)1286665277
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001442864 049__ $$aISEA
001442864 050_4 $$aRD755$$b.S43 2022
001442864 08204 $$a681/.761$$223
001442864 1001_ $$aSecciani, Nicole,$$eauthor.
001442864 24510 $$aSEMG-based control strategy for a hand exoskeleton system /$$cNicola Secciani.
001442864 264_1 $$aCham :$$bSpringer,$$c[2022]
001442864 264_4 $$c©2022
001442864 300__ $$a1 online resource :$$billustrations (chiefly color)
001442864 336__ $$atext$$btxt$$2rdacontent
001442864 337__ $$acomputer$$bc$$2rdamedia
001442864 338__ $$aonline resource$$bcr$$2rdacarrier
001442864 347__ $$atext file
001442864 347__ $$bPDF
001442864 4901_ $$aSpringer theses,$$x2190-5061
001442864 500__ $$a"Doctoral thesis accepted by University of Florence, Italy."
001442864 504__ $$aIncludes bibliographical references.
001442864 5050_ $$aIntroduction -- Background: first-stage device -- The new control system -- Tests and results.
001442864 506__ $$aAccess limited to authorized users.
001442864 520__ $$aThis 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.
001442864 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 6, 2021).
001442864 650_0 $$aRobotics in medicine.
001442864 650_0 $$aSelf-help devices for people with disabilities.
001442864 650_0 $$aRobotic exoskeletons.
001442864 650_6 $$aRobotique en médecine.
001442864 650_6 $$aAides fonctionnelles (Médecine physique)
001442864 650_6 $$aExosquelettes (Cybernétique)
001442864 655_0 $$aElectronic books.
001442864 77608 $$iPrint version:$$aSecciani, Nicole.$$tSEMG-based control strategy for a hand exoskeleton system.$$dCham : Springer, [2022]$$z303090282X$$z9783030902827$$w(OCoLC)1273078496
001442864 830_0 $$aSpringer theses.$$x2190-5061
001442864 852__ $$bebk
001442864 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-90283-4$$zOnline Access$$91397441.1
001442864 909CO $$ooai:library.usi.edu:1442864$$pGLOBAL_SET
001442864 980__ $$aBIB
001442864 980__ $$aEBOOK
001442864 982__ $$aEbook
001442864 983__ $$aOnline
001442864 994__ $$a92$$bISE