Multimodal Women's Health Wearable Dataset (MMWHD)
Published: 17 July 2026| Version 1 | DOI: 10.17632/pn96g8j34t.1
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Description
This dataset contains synchronized multimodal wearable sensor data generated for 100 synthetic female participants over 30 consecutive days at one-minute intervals. Variables include heart rate, HRV, PPG, skin temperature, SpO₂, accelerometer signals, sleep state, activity, energy expenditure, menstrual cycle information, and stress indices. The dataset is computationally generated for algorithm development and benchmarking and does not contain data from real individuals.
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Artificial Intelligence, Global Women's Health