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Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review.

Darius Adam RohaniMaria Faurholt-JepsenLars Vedel KessingJakob Eyvind Bardram
Published in: JMIR mHealth and uHealth (2018)
Several studies showed consistent and statistically significant correlations between objective behavioral features collected via mobile and wearable devices and depressive mood symptoms. Hence, continuous and everyday monitoring of behavioral aspects in affective disorders could be a promising supplementary objective measure for estimating depressive mood symptoms. However, the evidence is limited by methodological issues in individual studies and by a lack of standardization of (1) the collected objective features, (2) the mood assessment methodology, and (3) the statistical methods applied. Therefore, consistency in data collection and analysis in future studies is needed, making replication studies as well as meta-analyses possible.
Keyphrases
  • bipolar disorder
  • meta analyses
  • systematic review
  • sleep quality
  • case control
  • randomized controlled trial
  • stress induced
  • depressive symptoms
  • heart rate
  • electronic health record
  • deep learning
  • data analysis