The study involved 54 adults with BD who used Fitbit devices for nine months. Data collected included activity level, heart rate and sleep patterns. Participants also reported their symptoms every two weeks. The algorithm analyzed 17 measurements, such as total sleep time and heart rate, to identify mood episodes.
The system predicted manic symptoms with 89.1% accuracy and depressive symptoms with 80.1% accuracy. The key factors were sleep efficiency, heart rate, and active minutes.
Researchers believe the technology could improve treatment by helping doctors respond quickly to mood changes.
Source: Ferra
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