Automated classification of stress and relaxation responses in major depressive disorder, panic disorder, and healthy participants via heart rate variability
This study demonstrated that differentiating between stress and relaxation was more challenging in the PD and MDD groups than in the HC group, underscoring the potential of HRV metrics as stress biomarkers. Psychiatric patients exhibited altered autonomic responses, which may influence their stress reactivity. This indicates the need for a tailored approach to stress monitoring in these patient groups. Additionally, we emphasized the significance of longitudinal scaling in enhancing classification accuracy, which can be utilized to develop personalized monitoring technologies for psychiatric patients.
Authors
- Ah Young Kim (ORCID: https://orcid.org/0000-0001-6852-663X)
- Sangwon Byun (ORCID: https://orcid.org/0000-0002-5094-8372)
- Chul‐Hyun Cho (ORCID: https://orcid.org/0000-0002-1663-9680)
- Min‐Sup Shin (ORCID: https://orcid.org/0000-0001-9840-6997)
- Hong Jin Jeon
Institutions
- Electronics and Telecommunications Research Institute (KR)
- Incheon National University (KR)
- Korea University (KR)
- Samsung Medical Center (KR)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2025-01-09
- DOI
- https://doi.org/10.3389/fpsyt.2024.1500310
- Citations
- 2
- Primary Topic
- Heart Rate Variability and Autonomic Control
- Type
- article
- Field-Weighted Citation Impact
- 2.78
Funders
- Incheon National University
- Ministry of Science and ICT, South Korea
- Institute for Information and Communications Technology Promotion