Performance of artificial intelligence models for monitoring psychological stress using noncontact physiological signals: a systematic review and meta-analysis
- DOI
- 10.3389/fpsyt.2026.1938767
- Published
- 2026-08-19
- Container
- Frontiers in Psychiatry
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fpsyt.2026.1938767,
title = {Performance of artificial intelligence models for monitoring psychological stress using noncontact physiological signals: a systematic review and meta-analysis},
author = {Xiuping Han and Qiankun Wang and Ling’ai Gao and Hui Cao},
year = {2026},
journal = {Frontiers in Psychiatry},
doi = {10.3389/fpsyt.2026.1938767},
url = {https://doi.org/10.3389/fpsyt.2026.1938767}
}RIS
TY - JOUR TI - Performance of artificial intelligence models for monitoring psychological stress using noncontact physiological signals: a systematic review and meta-analysis AU - Xiuping Han AU - Qiankun Wang AU - Ling’ai Gao AU - Hui Cao PY - 2026 JO - Frontiers in Psychiatry DO - 10.3389/fpsyt.2026.1938767 UR - https://doi.org/10.3389/fpsyt.2026.1938767 ER -
APA
Han, X., Wang, Q., Gao, L., & Cao, H. (2026). Performance of artificial intelligence models for monitoring psychological stress using noncontact physiological signals: a systematic review and meta-analysis. Frontiers in Psychiatry. https://doi.org/10.3389/fpsyt.2026.1938767
Source records
- crossref · retrieved 2026-09-25T06:32:05.523Z