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Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery

Medicine and Health

Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery

C. Adans-dester, N. Hankov, et al.

This innovative research by Catherine Adans-Dester and colleagues presents a machine learning approach utilizing wearable sensors to assess upper-limb motor impairment and movement quality in stroke and TBI survivors. With impressive correlations between sensor data and clinician assessments, this method offers promising potential for personalized rehabilitation strategies.

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~3 min • Beginner • English
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