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Using Acoustic Speech Patterns From Smartphones to Investigate Mood Disorders: Scoping Review.

Olivia FlanaganAmy Hai Yan ChanPartha S RoopFrederick Sundram
Published in: JMIR mHealth and uHealth (2021)
Approaches that allow smartphone-based monitoring of speech patterns in mood disorders are rapidly growing. The current body of evidence supports the value of speech patterns to monitor, classify, and predict mood states in real time. However, many challenges remain around the robustness, cost-effectiveness, and acceptability of such an approach and further work is required to build on current research and reduce heterogeneity of methodologies as well as clinical evaluation of the benefits and risks of such approaches.
Keyphrases
  • bipolar disorder
  • sleep quality
  • hearing loss
  • single cell
  • risk assessment
  • depressive symptoms
  • human health
  • climate change