Prediction on the Recurrence of Manic and Depressive Episodes in Bipolar Disorder

Conditions studied

Bipolar Disorder, Depressive Disorder

About this study

Mood disorders (including bipolar disorder and major depressive disorder) are chronic mental disorders with high recurrent rate. The more the number of recurrence is, the worse long-term prognosis is. This study aims to establish a prediction model of recurrence of manic and depressive episodes in mood disorders, with a hope to detect recurrence relapse as early as possible for timely clinical intervention. We will adopt wearable smart watch to collect heart rate, sleep pattern, activity level, as well as emotional status for one year long in 100 patients with bipolar disorder, and annotated their mood status (i.e., manic episode, depressive episode, and euthymic state). We expect to establish prediction models to predict the recurrence of mood episodes.

Interventions

• Device: Wearable activity tracker — Garmin smartwatch will record features, such as activities, heart rate, sleep, through smartphone App

Primary outcomes

• Development and verification of mood episode prediction algorithm (1 year)