Wearable Trackers May Help Detect Depression Relapse Before It Occurs

“This is a great study, and [a] theme which wonderfully presages the upcoming AI analysis of biometrics to determine human mood and health states,” said Alex Dimitriu, MD, double board certified in Psychiatry and Sleep Medicine and founder of Menlo Park Psychiatry & Sleep Medicine, who was not involved in the study. “Our biology, especially mental health-related, is often quite a fuzzy signal — there [are] good days, bad days, stress, sleep, and random life events which can make our moods look all over the place. Tracking with wearables over longer periods of time can begin to expose patterns which would otherwise be hard to detect. In this study, variance in sleep was shown to effectively predict depressive relapse,” he said.

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