DocumentCode
2470260
Title
Arm motion analysis of stroke patients in activities of daily living tasks: A preliminary study
Author
Kim, Kyung ; Park, Dae-Sung ; Ko, Byung-Woo ; Lee, Jeongsu ; Yang, Seung-Nam ; Kim, Jongbae ; Song, Won-Kyung
Author_Institution
Res. Inst., Nat. Rehabilitation Center, Seoul, South Korea
fYear
2011
fDate
Aug. 30 2011-Sept. 3 2011
Firstpage
1287
Lastpage
1291
Abstract
Analyzing activities of daily living (ADL) for the development of practical upper limb rehabilitation robots is challenging in stroke patients. Basic ADL tasks using an upper limb are defined based on clinical assessment tools. The motions of 8 healthy participants and 8 stroke patients were recorded during defined ADL tasks, and then analyzed with respect to completion time, linearity of motion, and range of motion of the joints. Completion time and motion trajectories were significantly different between stroke subjects and healthy participants. For tasks involving the transfer of an object from a table to the user´s mouth, wrist radial-ulnar deviation motions should be taken into account while designing robots for gross movements via elbow and shoulder joints. Our findings can be extended to the design of trajectories of rehabilitation robots as well as of simplified robots.
Keywords
biomechanics; manipulators; medical disorders; medical robotics; motion control; patient rehabilitation; position control; arm motion analysis; clinical assessment tools; elbow joints; gross movements; motion trajectories; mouth; practical upper limb rehabilitation robots; shoulder joints; stroke patients; wrist radial-ulnar deviation motions; Elbow; Joints; Read only memory; Robots; Shoulder; Training; Wrist; Actigraphy; Activities of Daily Living; Adolescent; Aged; Arm; Female; Humans; Male; Middle Aged; Motor Activity; Movement; Pilot Projects; Robotics; Stroke;
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.2011.6090303
Filename
6090303
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