國立高雄大學圖資館 |

Language: English

Back

Iterative learning control for elect...

Freeman, Chris T.

Iterative learning control for electrical stimulation and stroke rehabilitation

Record Type:	Electronic resources : Monograph/item
Title/Author:	Iterative learning control for electrical stimulation and stroke rehabilitationby Chris T. Freeman ... [et al.].
other author:	Freeman, Chris T.
Published:	London :Springer London :2015.
Description:	vii, 124 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Robotics in medicine.
Online resource:	http://dx.doi.org/10.1007/978-1-4471-6726-6
ISBN:	9781447167266 (electronic bk.)

Iterative learning control for electrical stimulation and stroke rehabilitation
Iterative learning control for electrical stimulation and stroke rehabilitation[electronic resource] /by Chris T. Freeman ... [et al.]. - London :Springer London :2015. - vii, 124 p. :ill., digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8112. - SpringerBriefs in electrical and computer engineering..

Iterative 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.

Iterative 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.

ISBN: 9781447167266 (electronic bk.)

Standard No.: 10.1007/978-1-4471-6726-6doiSubjects--Topical Terms:

276733
Robotics in medicine.

LC Class. No.: R857.R63

Dewey Class. No.: 610.28

Iterative learning control for electrical stimulation and stroke rehabilitation
LDR:02783nmm a2200349 a 4500 001 471388
003 DE-He213
005 20160120131409.0
006 m d
007 cr nn 008maaau
008 160223s2015 enk s 0 eng d
020 $a 9781447167266 (electronic bk.)
020 $a 9781447167259 (paper)
024 7 $a 10.1007/978-1-4471-6726-6 $2 doi
035 $a 978-1-4471-6726-6
040 $a GP $c GP
041 0 $a eng
050 4 $a R857.R63
072 7 $a TJFM $2 bicssc
072 7 $a TJFD $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TEC037000 $2 bisacsh
082 0 4 $a 610.28 $2 23
090 $a R857.R63 $b I88 2015
245 0 0 $a Iterative learning control for electrical stimulation and stroke rehabilitation $h [electronic resource] / $c by Chris T. Freeman ... [et al.].
260 $a London : $b Springer London : $b Imprint: Springer, $c 2015.
300 $a vii, 124 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in electrical and computer engineering, $x 2191-8112
505 0 $a Iterative 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 $a Iterative 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 $a Robotics in medicine. $3 276733
650 0 $a Cerebrovascular disease $x Patients $x Rehabilitation $x Technological innovations. $3 726584
650 0 $a Machine learning. $3 188639
650 1 4 $a Engineering. $3 210888
650 2 4 $a Control, Robotics, Mechatronics. $3 339147
650 2 4 $a Rehabilitation Medicine. $3 273862
650 2 4 $a Biomedical Engineering. $3 190464
650 2 4 $a Physiotherapy. $3 275930
700 1 $a Freeman, Chris T. $3 726583
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in electrical and computer engineering. $3 557682
856 4 0 $u http://dx.doi.org/10.1007/978-1-4471-6726-6
950 $a Engineering (Springer-11647)