Development of a Wearable Non‑Invasive Neuromodulation Device Prototype for Migraine Relief
A wearable closed-loop migraine prediction system uses physiological sensors and an ESP32 for real-time monitoring. A hybrid AI model analyzes skin temperature, heart rate, and electrodermal activity to predict migraine onset. User feedback continuously refines the model, enabling personalized, accurate, and adaptive early detection.
Research Students
Nadun Kaushalya
Thilan Chamuditha
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