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000727918 020__ $$a9781447167266$$qelectronic book
000727918 020__ $$a1447167260$$qelectronic book
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000727918 035__ $$aSP(OCoLC)ocn912277032
000727918 035__ $$aSP(OCoLC)912277032
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000727918 08204 $$a610.28$$223
000727918 24500 $$aIterative learning control for electrical stimulation and stroke rehabilitation$$h[electronic resource] /$$cChris T. Freeman, Eric Rogers, Jane H. Burridge, Ann-Marie Hughes, Katie L. Meadmore.
000727918 264_1 $$aLondon :$$bSpringer,$$c2015.
000727918 300__ $$a1 online resource.
000727918 336__ $$atext$$btxt$$2rdacontent
000727918 337__ $$acomputer$$bc$$2rdamedia
000727918 338__ $$aonline resource$$bcr$$2rdacarrier
000727918 4901_ $$aSpringerBriefs in electrical and computer engineering, Control, automation and robotics,$$x2191-8112
000727918 504__ $$aIncludes bibliographical references and index.
000727918 5050_ $$aIterative Learning Control: An Overview -- Technology Transfer to Stroke Rehabilitation -- ILC based Upper-Limb Rehabilitation -- Planar Tasks -- Iterative Learning Control of the Unconstrained Upper Limb -- Goal-oriented Stroke Rehabilitation.
000727918 506__ $$aAccess limited to authorized users.
000727918 520__ $$aIterative learning control (ILC) has its origins in the control of processes that perform a task repetitively with a view to improving accuracy from trial to trial by using information from previous executions of the task. This brief shows how a classic application of this technique - trajectory following in robots - can be extended to neurological rehabilitation after stroke. Regaining upper limb movement is an important step in a return to independence after stroke, but the prognosis for such recovery has remained poor. Rehabilitation robotics provides the opportunity for repetitive task-oriented movement practice reflecting the importance of such intense practice demonstrated by conventional therapeutic research and motor learning theory. Until now this technique has not allowed feedback from one practice repetition to influence the next, also implicated as an important factor in therapy. The authors demonstrate how ILC can be used to adjust external functional electrical stimulation of patients' muscles while they are repeatedly performing a task in response to the known effects of stimulation in previous repetitions. As the motor nerves and muscles of the arm reaquire the ability to convert an intention to move into a motion of accurate trajectory, force and rapidity, initially intense external stimulation can now be scaled back progressively until the fullest possible independence of movement is achieved.
000727918 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 30, 2015).
000727918 650_0 $$aRobotics in medicine.
000727918 650_0 $$aCerebrovascular disease$$xPatients$$xRehabilitation$$xTechnological innovations.
000727918 650_0 $$aMachine learning.
000727918 7001_ $$aFreeman, Chris T,$$eauthor.
000727918 7001_ $$aRogers, Eric,$$eauthor.
000727918 7001_ $$aBurridge, Jane H.,$$eauthor.
000727918 7001_ $$aHughes, Ann-Marie,$$eauthor.
000727918 7001_ $$aMeadmore, Katie L.,$$eauthor.
000727918 830_0 $$aSpringerBriefs in electrical and computer engineering.$$pControl, automation and robotics.
000727918 852__ $$bebk
000727918 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-1-4471-6726-6$$zOnline Access$$91397441.1
000727918 909CO $$ooai:library.usi.edu:727918$$pGLOBAL_SET
000727918 980__ $$aEBOOK
000727918 980__ $$aBIB
000727918 982__ $$aEbook
000727918 983__ $$aOnline
000727918 994__ $$a92$$bISE