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020 _a9781447167266
_9978-1-4471-6726-6
024 7 _a10.1007/978-1-4471-6726-6
_2doi
050 4 _aTJ210.2-211.495
050 4 _aTJ163.12
072 7 _aTJFM
_2bicssc
072 7 _aTJFD
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTEC037000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aFreeman, Chris T.
_eauthor.
245 1 0 _aIterative Learning Control for Electrical Stimulation and Stroke Rehabilitation
_h[electronic resource] /
_cby Chris T. Freeman, Eric Rogers, Jane H. Burridge, Ann-Marie Hughes, Katie L. Meadmore.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2015.
300 _aVII, 124 p. 69 illus., 34 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8112
505 0 _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.
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.
650 0 _aEngineering.
650 0 _aRehabilitation medicine.
650 0 _aPhysiotherapy.
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aMechatronics.
650 0 _aBiomedical engineering.
650 1 4 _aEngineering.
650 2 4 _aControl, Robotics, Mechatronics.
650 2 4 _aRehabilitation Medicine.
650 2 4 _aBiomedical Engineering.
650 2 4 _aPhysiotherapy.
700 1 _aRogers, Eric.
_eauthor.
700 1 _aBurridge, Jane H.
_eauthor.
700 1 _aHughes, Ann-Marie.
_eauthor.
700 1 _aMeadmore, Katie L.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447167259
830 0 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8112
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-6726-6
912 _aZDB-2-ENG
942 _cEBK
999 _c57603
_d57603