Reducing Trunk Compensation in Stroke Survivors: A Randomized Crossover Trial Comparing Visual and Force Feedback Modalities

• Published in: Archives of physical medicine and rehabilitation Vol. 98; no. 10; pp. 1932 - 1940
• Main Authors: Valdés, Bulmaro Adolfo, Schneider, Andrea Nicole, Van der Loos, H.F. Machiel
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01-10-2017
• Subjects: Adaptation, Physiological; Aged; Aged, 80 and over; Computers; Cross-Over Studies; Feedback; Female; Hemiplegia - physiopathology; Humans; Male; Middle Aged; Rehabilitation; Robotics; Rotation; Stroke; Stroke - physiopathology; Stroke Rehabilitation - methods; Therapy, Computer-assisted; Torso - physiopathology; Upper extremity; Upper Extremity - physiopathology; UE; ANCOVA; Stroke; RPS; Rehabilitation; Therapy, Computer-assisted; FMA; Upper extremity; Robotics
• ISSN: 0003-9993; 1532-821X
• DOI: 10.1016/j.apmr.2017.03.034

To investigate whether the compensatory trunk movements of stroke survivors observed during reaching tasks can be decreased by force and visual feedback, and to examine whether one of these feedback modalities is more efficacious than the other in reducing this compensatory tendency.
Randomized crossover trial.
University research laboratory.
Community-dwelling older adults (N=15; 5 women; mean age, 64±11y) with hemiplegia from nontraumatic hemorrhagic or ischemic stroke (>3mo poststroke), recruited from stroke recovery groups, the research group's website, and the community.
In a single session, participants received augmented feedback about their trunk compensation during a bimanual reaching task. Visual feedback (60 trials) was delivered through a computer monitor, and force feedback (60 trials) was delivered through 2 robotic devices.
Primary outcome measure included change in anterior trunk displacement measured by motion tracking camera. Secondary outcomes included trunk rotation, index of curvature (measure of straightness of hands' path toward target), root mean square error of hands' movement (differences between hand position on every iteration of the program), completion time for each trial, and posttest questionnaire to evaluate users' experience and system's usability.
Both visual (−45.6% [45.8 SD] change from baseline, P=.004) and force (−41.1% [46.1 SD], P=.004) feedback were effective in reducing trunk compensation. Scores on secondary outcome measures did not improve with either feedback modality. Neither feedback condition was superior.
Visual and force feedback show promise as 2 modalities that could be used to decrease trunk compensation in stroke survivors during reaching tasks. It remains to be established which one of these 2 feedback modalities is more efficacious than the other as a cue to reduce compensatory trunk movement.