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Voice analysis as an objective state marker in bipolar disorder.
M Faurholt-Jepsen1, J Busk2, M Frost3
1Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark.
Translational Psychiatry
|July 20, 2016
Summary
Voice analysis from phone calls shows promise as an objective marker for manic or mixed states in bipolar disorder. Combining voice data with smartphone activity and mood tracking slightly improves accuracy for detecting affective states.
Area of Science:
- Psychiatry
- Digital Health
- Speech Analysis
Background:
- Speech changes are recognized indicators of depression and mania in bipolar disorder.
- Objective markers are needed for real-time monitoring of affective states.
Purpose of the Study:
- To evaluate voice features from phone calls as objective markers for affective states in bipolar disorder.
- To determine if combining voice data with smartphone behavioral and self-monitored mood data enhances affective state classification accuracy.
Main Methods:
- 28 outpatients with bipolar disorder provided daily smartphone data (voice, behavioral activity, self-monitored mood) for 12 weeks.
- Voice features were extracted from everyday phone calls.
- Random forest algorithms analyzed data; depressive and manic symptoms were assessed using standardized scales.
Main Results:
- Voice features demonstrated higher accuracy (AUC=0.89) in classifying manic/mixed states compared to depressive states (AUC=0.78).
- Integrating voice features with smartphone behavioral and mood data yielded a slight improvement in classification accuracy, sensitivity, and specificity.
- Voice analysis in naturalistic settings shows potential as an objective marker for bipolar disorder states.
Conclusions:
- Voice features from smartphone-based phone calls can serve as objective markers for affective states in bipolar disorder.
- Multimodal data integration (voice, behavior, mood) offers a marginal but potentially valuable enhancement for monitoring illness activity.
- This approach supports the development of digital tools for objective, real-time assessment in bipolar disorder management.
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