Smartwatches could predict bipolar mood swings before they happen
NCT ID NCT07427966
Summary
This research aims to better understand and predict mood episodes in bipolar disorder. Researchers will track 600 participants' sleep, activity, and decision-making using smartwatches and computer tasks. The goal is to find patterns that can help distinguish bipolar disorder from depression and spot early signs of upcoming manic or depressive episodes.
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