Wearable-derived heart rate variability and sleep monitoring as predictors of mood episodes in bipolar disorder: a case report
This case study suggests that continuous monitoring of objective physiological measures, such as HRV and sleep parameters, may serve as useful digital biomarkers for predicting mood episodes and preventing relapse in bipolar disorder. Future research involving larger samples and the development of predictive models will be essential to advance the clinical application of these novel assessment approaches.
Authors
- Keisuke Izumi
- Koichi Mochizuki
- Toshikazu Fukami (ORCID: https://orcid.org/0009-0007-5675-6017)
- Akira Eto (ORCID: https://orcid.org/0000-0003-3586-3052)
- Wataru Sakakibara
Institutions
- Keio University (JP)
- Tokyo Health Care University (JP)
- Tokyo Medical Center (JP)
- Sakakibara Hospital (JP)
- Center for Forensic Mental Health, Chiba University (JP)
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2025-12-03
- DOI
- https://doi.org/10.3389/fpsyt.2025.1695158
- Primary Topic
- Bipolar Disorder and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00