This groundbreaking research project focuses on understanding and characterizing leg movements during sleep using state-of-the-art wearable sensors and machine learning algorithms. The project aims to improve the diagnosis and treatment of sleep disorders such as Restless Leg Syndrome (RLS) and Periodic Limb Movement Disorder (PLMD).
Our research combines multi-modal sensor data from custom-designed wearable devices with advanced machine learning techniques to detect cortical arousals associated with leg movements. This work has resulted in multiple peer-reviewed publications in high-impact journals including Scientific Reports (Nature) and Journal of Medical Devices.
