我国科学家攻克非接触式睡眠监测技术瓶颈

Core Insights - The development of a new non-contact sleep monitoring method using millimeter-wave radar technology has been achieved, which does not require users to wear any sensors [1][2] - This method leverages deep learning and large-scale nighttime respiratory signals to accurately monitor sleep quality, making it particularly beneficial for special populations like children and the elderly [1][2] Group 1: Technology and Methodology - The new sleep monitoring system requires only a millimeter-wave radar sensor placed within 2 meters of the user, capturing respiratory and body movement signals during sleep [1] - The research indicates that unique respiratory characteristics during different sleep stages can be used to infer sleep phases, providing a physiological basis for monitoring sleep states [1] Group 2: Innovation and Application - The team introduced an "heterogeneous source transfer" artificial intelligence method, which utilizes existing respiratory big data from traditional sleep monitoring devices to enhance the accuracy of the radar-based system [2] - The monitoring platform can accurately analyze various sleep states, including light sleep, deep sleep, and REM sleep, and estimate sleep apnea indices, allowing for portable and convenient sleep quality monitoring [2] Group 3: Remote Health Management - A "remote sleep health management platform" has been developed, enabling doctors to access professional reports and provide guidance to patients remotely [2]