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.
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