Early Prediction of Poststroke Rehabilitation Outcomes Using Wearable Sensors

Inpatient stroke rehabilitation is pivotal for minimising functional deficits and reintegrating patients into the community. This study investigates the use of early-stage wearable sensor data to predict ambulation, independence, and fall risk outcomes at rehabilitation discharge. The findings endorse wearable sensors as a valuable tool for forecasting functional recovery post-stroke. The accurate predictions from these sensors could significantly enhance personalised care and discharge planning, offering valuable insights into patients’ outcomes within and beyond the inpatient setting.