Smartphone Sensor Data for Identifying and Monitoring Symptoms of Mood Disorders: A Longitudinal Observational Study.

Taylor A Braund May The Zin Tjeerd W Boonstra Quincy J J Wong Mark Erik Larsen Helen Christensen Gabriel Tillman Bridianne O'Dea

Published in: JMIR mental health (2022)

Circadian rhythm, which was extracted from smartphone GPS data, was associated with social support and predicted changes in anxiety in a clinical sample of adults with mood disorders. Larger studies are required for further validations. However, smartphone sensing may have the potential to monitor early symptoms of mood disorders.

Keyphrases

sleep quality
social support
depressive symptoms
bipolar disorder
electronic health record
atrial fibrillation
physical activity
blood pressure
risk assessment
machine learning
heart rate
data analysis
deep learning
human health
case control
artificial intelligence