Wearable Stroke Rehabilitation Device Gives Patients the Upper Hand

UMass Amherst develops AI wrist device for stroke recovery

A research team led by the University of Massachusetts Amherst has developed a wearable wrist device that uses a machine-learning algorithm to track arm movement impairment in stroke patients.

Wearable device can track changes in stroke-related arm movement impairment

A team led by University of Massachusetts Amherst researchers has developed a wearable wrist device powered by a machine-learning algorithm that can continually track changes in arm movement impairment caused by strokes.

Wearable Monitor Could Bring Real-Time Tracking to Stroke Rehabilitation

A wristband device could allow doctors to monitor stroke recovery continuously and in real-world settings rather than through occasional clinic assessments.

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.