ECG and EEG based machine learning models for the classification of mental workload and stress levels for women in different menstrual phases, men, and mixed sexes

•Sex and menstrual phase differences impact stress classification performance.•ECG and EEG ML models show women in the follicular phase are the least stressed.•Higher estrogen levels in the follicular phase reduce stress vs. the luteal phase.•Combining classifiers improve stress classification over...

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Bibliographic Details
Published in:Biomedical signal processing and control 2024-09, Vol.95, p.106379, Article 106379
Main Authors: Hemakom, Apit, Atiwiwat, Danita, Israsena, Pasin
Format: Article
Language:English
Subjects:
Electrocardiogram
Electroencephalogram
Machine Learning
Menstruation
Sex
Stress
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Summary:•Sex and menstrual phase differences impact stress classification performance.•ECG and EEG ML models show women in the follicular phase are the least stressed.•Higher estrogen levels in the follicular phase reduce stress vs. the luteal phase.•Combining classifiers improve stress classification over individual methods.
ISSN:1746-8094
1746-8108
DOI:10.1016/j.bspc.2024.106379