Fourier Transform Analysis of GPS-Derived Mobility Patterns for Diagnosis and Mood Monitoring of Bipolar and Major Depressive Disorders: Prospective Study
This study underscores the potential of GPS-derived mobility data, analyzed through Fourier transform, as a noninvasive and real-time diagnostic and monitoring tool for mood disorders. The findings suggest that the intensity of mobility patterns, rather than their frequency, may better differentiate BP from MDD. Integrating GPS data with EMAs could enhance the precision of clinical assessments, provide early warnings for mood episodes, and support personalized interventions, ultimately improving mental health outcomes. This approach represents a promising step toward digital phenotyping and advanced mental health monitoring strategies.
Authors
- Po‐Hsiu Kuo (ORCID: https://orcid.org/0000-0003-0365-3587)
- Chih‐Min Liu (ORCID: https://orcid.org/0000-0001-7016-8990)
- Chuhsing Kate Hsiao (ORCID: https://orcid.org/0000-0003-4905-8484)
- Hsi‐Chung Chen (ORCID: https://orcid.org/0000-0003-3191-0093)
- Ting-Yi Lee (ORCID: https://orcid.org/0009-0007-5497-5179)
- Ching‐Hsuan Chen (ORCID: https://orcid.org/0000-0002-1182-8191)
- Shu‐I Wu (ORCID: https://orcid.org/0000-0002-8461-5613)
- I‐Ming Chen (ORCID: https://orcid.org/0000-0001-7759-6648)
Institutions
- National Taiwan University (TW)
- Mackay Memorial Hospital (TW)
- Mackay Medical University (TW)
- Taipei City Hospital (TW)
- National Taiwan University Hospital (TW)
- Wan Fang Hospital (TW)
- National Yang Ming Chiao Tung University (TW)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-05-07
- DOI
- https://doi.org/10.2196/71658
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 0.00