Biometric Data in Post-Traumatic Stress Disorder Detection: A Scoping Review of Digital Health Applications

Digital biometric approaches can detect PTSD; however, progress has been slowed by heterogeneous study designs, inconsistent reporting, and limited attention to sex differences. Establishing common reporting standards, evaluating multimodal models in real-world settings, and developing algorithms incorporating sex for more equitable screening are warranted.

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Publication Details

Journal
International Journal of Medical Informatics
Published
2026-01-15
DOI
https://doi.org/10.1016/j.ijmedinf.2026.106289
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Biometric Data in Post-Traumatic Stress Disorder Detection: A Scoping Review of Digital Health Applications

Phue Thet Khaing, Masaharu Nakayama
International Journal of Medical Informatics
Emotion and Mood Recognition
article

Biometric Data in Post-Traumatic Stress Disorder Detection: A Scoping Review of Digital Health Applications

Phue Thet Khaing, Masaharu Nakayama
article en

Abstract

Digital biometric approaches can detect PTSD; however, progress has been slowed by heterogeneous study designs, inconsistent reporting, and limited attention to sex differences. Establishing common reporting standards, evaluating multimodal models in real-world settings, and developing algorithms incorporating sex for more equitable screening are warranted.

International Journal of Medical InformaticsVol. 211
Tohoku University (JP), Tohoku Medical and Pharmaceutical University (JP)
Openalex Percentile: Top 89%
Emotion and Mood Recognition
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