國立虎尾科技大學 |

Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation/ by Chris T. Freeman, Eric Rogers, Jane H. Burridge, Ann-Marie Hughes, Katie L. Meadmore.
作者:	Freeman, Chris T.
其他作者:	Rogers, Eric.
面頁冊數:	VII, 124 p. 69 illus., 34 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Control engineering. -
電子資源:	https://doi.org/10.1007/978-1-4471-6726-6
ISBN:	9781447167266

Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation
Freeman, Chris T.

Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation[electronic resource] /by Chris T. Freeman, Eric Rogers, Jane H. Burridge, Ann-Marie Hughes, Katie L. Meadmore. - 1st ed. 2015. - VII, 124 p. 69 illus., 34 illus. in color.online resource. - SpringerBriefs in Control, Automation and Robotics,2192-6786. - SpringerBriefs in Control, Automation and Robotics,.

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

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

1249728
Control engineering.

LC Class. No.: TJ210.2-211.495

Dewey Class. No.: 629.8

Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation
LDR:03186nam a22004215i 4500 001 961344
003 DE-He213
005 20200706003951.0
007 cr nn 008mamaa
008 201211s2015 xxk| s |||| 0|eng d
020 $a 9781447167266 $9 978-1-4471-6726-6
024 7 $a 10.1007/978-1-4471-6726-6 $2 doi
035 $a 978-1-4471-6726-6
050 4 $a TJ210.2-211.495
050 4 $a TJ163.12
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
072 7 $a TJFD $2 thema
082 0 4 $a 629.8 $2 23
100 1 $a Freeman, Chris T. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1255694
245 1 0 $a Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation $h [electronic resource] / $c by Chris T. Freeman, Eric Rogers, Jane H. Burridge, Ann-Marie Hughes, Katie L. Meadmore.
250 $a 1st ed. 2015.
264 1 $a London : $b Springer London : $b Imprint: Springer, $c 2015.
300 $a VII, 124 p. 69 illus., 34 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a SpringerBriefs in Control, Automation and Robotics, $x 2192-6786
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 Control engineering. $3 1249728
650 0 $a Robotics. $3 561941
650 0 $a Mechatronics. $3 559133
650 0 $a Rehabilitation medicine. $3 1254060
650 0 $a Biomedical engineering. $3 588770
650 0 $a Physiotherapy. $3 673701
650 1 4 $a Control, Robotics, Mechatronics. $3 768396
650 2 4 $a Rehabilitation Medicine. $3 673667
650 2 4 $a Biomedical Engineering and Bioengineering. $3 1211019
700 1 $a Rogers, Eric. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1255695
700 1 $a Burridge, Jane H. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1255696
700 1 $a Hughes, Ann-Marie. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1255697
700 1 $a Meadmore, Katie L. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1255698
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781447167273
776 0 8 $i Printed edition: $z 9781447167259
830 0 $a SpringerBriefs in Control, Automation and Robotics, $x 2192-6786 $3 1254578
856 4 0 $u https://doi.org/10.1007/978-1-4471-6726-6
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)