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.