Analysis of heart rate variability and subtle ECG changes based on machine learning for objective assessment of the psychological state of military personnel
The study's results demonstrate the potential for significant prediction of routine psychological assessment outcomes based on in-depth analysis of ECG and HRV, especially regarding the Beck Anxiety Scale and Preliminary Psychological Conclusion.
Authors
- A. Popov
- Vitalii Budnyk (ORCID: https://orcid.org/0000-0001-6296-4065)
- Illya Chaikovsky (ORCID: https://orcid.org/0000-0002-4152-0331)
- Mykola Budnyk
- Oleksandr Romanchuk
- Viktor Matsyshyn
- Petro Stetsyuk
- Tetiana Ryzhenko
- Ivan Senko
Institutions
- National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” (UA)
- Lesya Ukrainka Volyn National University (UA)
- Lviv State University of Physical Culture (UA)
- Innovative Technologies Center (Greece) (GR)
- V.M. Glushkov Institute of Cybernetics (UA)
- Ukrainian Catholic University (UA)
Publication Details
- Journal
- Frontiers in Psychology
- Published
- 2026-02-27
- DOI
- https://doi.org/10.3389/fpsyg.2026.1688230
- Primary Topic
- Heart Rate Variability and Autonomic Control
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Academy of Sciences of Ukraine