DocumentCode
758612
Title
Automating Arm Movement Training Following Severe Stroke: Functional Exercises With Quantitative Feedback in a Gravity-Reduced Environment
Author
Sanchez, Robert J. ; Liu, Jiayin ; Rao, Sandhya ; Shah, Punit ; Smith, Robert ; Rahman, Tariq ; Cramer, Steven C. ; Bobrow, James E. ; Reinkensmeyer, David J.
Author_Institution
Dept. of Mech. & Aerosp. Eng., California Univ., Irvine, CA
Volume
14
Issue
3
fYear
2006
Firstpage
378
Lastpage
389
Abstract
An important goal in rehabilitation engineering is to develop technology that allows individuals with severe motor impairment to practice arm movement without continuous supervision from a rehabilitation therapist. This paper describes the development of such a system, called Therapy WREX or ("T-WREX"). The system consists of an orthosis that assists in arm movement across a large workspace, a grip sensor that detects hand grip pressure, and software that simulates functional activities. The arm orthosis is an instrumented, adult-sized version of the Wilmington Robotic Exoskeleton (WREX), which is a five degrees-of-freedom mechanism that passively counterbalances the weight of the arm using elastic bands. After providing a detailed design description of T-WREX, this paper describes two pilot studies of the system\´s capabilities. The first study demonstrated that individuals with chronic stroke whose arm function is compromised in a normal gravity environment can perform reaching and drawing movements while using T-WREX. The second study demonstrated that exercising the affected arm of five people with chronic stroke with T-WREX over an eight week period improved unassisted movement ability (mean change in Fugl-Meyer score was 5 points plusmn2 SD; mean change in range of motion of reaching was 10%, p<0.001). These results demonstrate the feasibility of automating upper-extremity rehabilitation therapy for people with severe stroke using passive gravity assistance, a grip sensor, and simple virtual reality software
Keywords
biomechanics; feedback; medical robotics; orthotics; patient rehabilitation; pressure sensors; Therapy WREX; Wilmington robotic exoskeleton; arm movement training; chronic stroke; drawing movements; functional exercises; gravity-reduced environment; grip sensor; hand grip pressure; orthosis; passive gravity assistance; quantitative feedback; reaching movements; rehabilitation engineering; severe motor impairment; severe stroke; upper-extremity rehabilitation therapy; virtual reality software; Exoskeletons; Feedback; Gravity; Instruments; Medical treatment; Rehabilitation robotics; Robot sensing systems; Robotics and automation; Sensor systems; Virtual reality; Arm; motor control; movement; rehabilitation; stroke; telerehabilitation; Adult; Aged; Arm; Biofeedback (Psychology); Exercise Therapy; Female; Humans; Male; Middle Aged; Motion Therapy, Continuous Passive; Paresis; Physical Stimulation; Robotics; Stroke; Telemedicine; Therapy, Computer-Assisted; User-Computer Interface; Weightlessness Simulation;
fLanguage
English
Journal_Title
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1534-4320
Type
jour
DOI
10.1109/TNSRE.2006.881553
Filename
1703570
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