Machine learning-based menstrual phase identification using wearable device data
Abstract This study applies machine learning to identify menstrual cycle phases using physiological signals recorded from a wrist-worn device. These signals include skin temperature, electrodermal activity (EDA), interbeat interval (IBI), and heart rate (HR), and were collected without requiring par...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | npj Women's Health |
| Online Access: | https://doi.org/10.1038/s44294-025-00078-8 |
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