Wearable stroke rehabilitation device gives patients the upper hand

A team led by University of Massachusetts Amherst researchers has developed a wearable wrist device powered by a machine-learning algorithm that can continuously track changes in arm movement impairment after a stroke. Monitoring those changes throughout rehabilitation could allow clinicians to adjust therapy in real time, tailoring care instead of relying on the current one-size-fits-all approach.

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