Opportunities for Improving Motor Assessment and Rehabilitation After Stroke by Leveraging Video-Based Pose
Kendra M Cherry-Allen1, Margaret A French, Jan Stenum
1From the Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, Maryland (KMC-A, MAF, JS, RTR); Department of Physical Therapy Education, Western University of Health Sciences, Lebanon, Oregon (KMC-A); Center for Movement Studies, Kennedy Krieger Institute, Baltimore, Maryland (JS, RTR); and Department of Kinesiology, University of Georgia, Athens, Georgia (JX).
Abstract:
Stroke is a leading cause of long-term disability in adults in the United States. As the healthcare system moves further into an era of digital medicine and remote monitoring, technology continues to play an increasingly important role in post-stroke care. In this Analysis and Perspective article, opportunities for using human pose estimation-an emerging technology that uses artificial intelligence to track human movement kinematics from simple videos recorded using household devices (e.g., smartphones, tablets)-to improve motor assessment and rehabilitation after stroke are discussed. The focus is on the potential of two key applications: (1) improving access to quantitative, objective motor assessment and (2) advancing telerehabilitation for persons post-stroke.
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