Opportunities for Improving Motor Assessment and Rehabilitation After Stroke by Leveraging Video-Based Pose Estimation.
Kendra M Cherry-Allen, Margaret A French, Jan Stenum, Jing Xu, Ryan T Roemmich
PMID 36634334WHAT IT FOUND
Video-based pose estimation is described as a promising tool for measuring stroke motor deficits using smartphones.
However, it is not yet validated for clinical use. There is no evidence here that it improves patient outcomes or replaces current assessments.
What this paper is
This is a narrative review discussing the potential applications of video-based pose estimation for stroke rehabilitation. It describes the technology, current barriers, and theoretical benefits for motor assessment and telerehabilitation. It reports no original patient data, methods, or clinical outcomes, so there are no findings here to change your practice on.