2026-09-30 マサチューセッツ大学アマースト校
＜関連情報＞
- https://www.umass.edu/news/article/wearable-stroke-rehabilitation-device-gives-patients-upper-hand
- https://www.science.org/doi/10.1126/scitranslmed.adw3644
手首装着型加速度計デジタルバイオマーカーを用いた脳卒中後の上肢運動機能回復の評価 Assessment of upper-limb motor recovery after stroke using a wrist-worn accelerometer digital biomarker
Ryan Wang, Catherine E. Lang, Mary E. Stoykov, Paolo Bonato, and Sunghoon I. Lee
Science Translational Medicine Published:30 Sep 2026
DOI:https://doi.org/10.1126/scitranslmed.adw3644
Abstract
Existing clinical assessments for upper-limb motor rehabilitation poststroke pose limitations as end points for efficient clinical trials. This study aimed to develop a digital metric for assessing motor recovery using accelerometer data collected in naturalistic environments. We constructed the digital arm performance scale (DAPS) by analyzing ∼23,000 hours of data from 215 participants, including healthy individuals and subacute and chronic stroke survivors. We decomposed continuous upper-limb accelerometer data into lower-level movement segments, from which key features were extracted and aggregated using a linear mixed-effects model to produce an interpretable digital biomarker. DAPS demonstrated excellent reliability, sensitivity, concurrent validity, known-groups validity, discriminant validity, and responsiveness. Power analysis indicated that DAPS could reduce the required sample size for clinical trials with upper-limb motor recovery end points by more than 60% compared with traditional assessments. These findings highlight the potential of DAPS as a low-burden, scalable assessment tool for upper-limb motor recovery, with potential applications in both clinical trials and practice.
