DocumentCode
2484872
Title
A comparison of treatment effects after sensor- and robot-based task-oriented arm training in highly functional stroke patients
Author
Timmermans, Annick A A ; Lemmens, Ryanne J M ; Geers, Richard P J ; Smeets, Rob J E M ; Seelen, Henk A M
Author_Institution
Dept. of Rehabilitation Med., Maastricht Univ., Maastricht, Netherlands
fYear
2011
fDate
Aug. 30 2011-Sept. 3 2011
Firstpage
3507
Lastpage
3510
Abstract
A large number of rehabilitation technologies for stroke patients has been developed in the last decade. To date it is insufficiently clear what the strengths of these different technologies are in relation to certain patient characteristics, such as the level of muscle strength and/or functional ability. One of the reasons is that research protocols differ so much that comparison of treatment results is impossible. This paper compares, while using the same patient inclusion criteria and training protocol, the effectivity of a sensor-supported versus robot-supported task-oriented arm training for highly functional chronic stroke patients. It appeared that individual improvements over time and Hedges´s g effect sizes were twice as large for the sensor-based training compared to the robot-supported training in stroke patients with high functional levels. New research is planned to compare both therapy approaches for stroke patients with low and average functional levels.
Keywords
biomechanics; medical disorders; muscle; patient rehabilitation; Hedges´s g effect sizes; functional ability; muscle strength; rehabilitation technology; robot based task oriented arm training; sensor based task oriented arm training; stroke patients; treatment effect; Clinical trials; Extremities; Haptic interfaces; Robot sensing systems; Training; Trajectory; Arm; Humans; Models, Theoretical; Robotics; Stroke; Task Performance and Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location
Boston, MA
ISSN
1557-170X
Print_ISBN
978-1-4244-4121-1
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2011.6090947
Filename
6090947
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