Researchers use fitness tracker data and machine learning to detect bipolar disorder mood swings

Medical Xpress November 25, 2024
Brigham and Women’s Hospital

Study indicates that a fitness tracker can detect mood episodes in bipolar disorder to help drive treatment

Investigators from Brigham and Women’s Hospital, a founding member of the Mass General Brigham health care system, evaluated whether data collected from a fitness tracker could be used to accurately detect mood episodes in people with bipolar disorder. Their findings, published in Acta Psychiatrica Scandinavica, indicate that it is possible to detect time intervals when patients with bipolar disorder are experiencing depression or mania with high accuracy using data from fitness tracking devices.

“Most people are walking around with personal digital devices like smartphones and smartwatches that capture day-to-day data that could inform psychiatric treatment. Our goal was to use that data to...

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