Effectiveness of Visual Feedback in Reducing Trunk Compensation During Arm Reaching for Home-Based Stroke Rehabilitation

This study investigates the effectiveness of visual feedback in reducing trunk compensation during one-arm reaching exercises using an end-effector robot. Results suggest that visual feedback is more effective than verbal feedback in suppressing trunk compensation, as evidenced by lower trunk moveme...

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Bibliographic Details
Published in2023 International Conference on Rehabilitation Robotics (ICORR) Vol. 2023; pp. 1 - 6
Main Authors Lee, Seong-Hoon, Song, Won-Kyung
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.01.2023
Subjects
Assistive robots
End effectors
Sociology
Stroke (medical condition)
Synchronization
Translational research
Visualization
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Summary:This study investigates the effectiveness of visual feedback in reducing trunk compensation during one-arm reaching exercises using an end-effector robot. Results suggest that visual feedback is more effective than verbal feedback in suppressing trunk compensation, as evidenced by lower trunk movements. Synchronized target position with respect to trunk motion exhibited a suppressive effect on trunk motion, as observed by a reduction in trunk standard deviation, trunk root mean square, and trunk difference between the starting and ending positions. These findings have important implications for developing feedback techniques to address unnatural upper limb reach movements in stroke survivors during rehabilitation programs. However, the study's limitations, such as small sample size, should be considered. Future research should explore feedback techniques in different patient populations and exercise types and evaluate their long-term effects.
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ISSN:1945-7901
DOI:10.1109/ICORR58425.2023.10304739