DocumentCode
2630782
Title
Quantifying learned non-use after stroke using unilateral and bilateral steering tasks
Author
Johnson, Michelle ; Paranjape, Ruta ; Strachota, Elaine ; Tchekanov, Guennady ; McGuire, John
Author_Institution
Phys. Med.& Rehab., Marquette Univ., Milwaukee, WI, USA
fYear
2011
fDate
June 29 2011-July 1 2011
Firstpage
1
Lastpage
7
Abstract
Learned non-use (LNU) is common after stroke and manifests when persons with stroke spontaneously use their stronger less-impaired arm despite residual functional abilities in the impaired arm. This tendency of under utilizing the impaired arm slows down the re-acquisition of bilateral coordination on activities of daily living. We wanted to examine whether this behavior could be studied and quantified using the TheraDrive system, a low-cost, mechatronic/robotic stroke rehabilitation system which uses a commercial force-feedback steering wheel along with custom games and unilateral and bilateral steering tasks for therapy and assessment. We attempt to quantify the role of the impaired arm in bilateral tracking with one and two-wheeled modes of the TheraDrive. Our results indicate that impaired arm use, arm bias and learned non-use behaviors may best be detected in decoupled bilateral tracking tasks.
Keywords
biomechanics; force feedback; injuries; mechatronics; medical robotics; patient rehabilitation; TheraDrive system; bilateral steering tasks; commercial force-feedback steering wheel; custom games; decoupled bilateral tracking tasks; impaired arm; learned non-use quantification; mechatronic stroke rehabilitation system; residual functional abilities; robotic stroke rehabilitation system; unilateral steering tasks; Bismuth; Medical treatment; Neodymium; Software; Target tracking; Wheels; bilateral coordination; robot-assisted therapy; stroke rehabilitation; upper arm; Activities of Daily Living; Arm; Female; Humans; Male; Middle Aged; Robotics; Stroke; Upper Extremity;
fLanguage
English
Publisher
ieee
Conference_Titel
Rehabilitation Robotics (ICORR), 2011 IEEE International Conference on
Conference_Location
Zurich
ISSN
1945-7898
Print_ISBN
978-1-4244-9863-5
Electronic_ISBN
1945-7898
Type
conf
DOI
10.1109/ICORR.2011.5975457
Filename
5975457
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