雷达+AI：我国学者开发出非接触式房颤检测系统，精准监测心脏异常

Core Viewpoint - The article discusses a groundbreaking non-contact atrial fibrillation (AF) detection system developed by a research team from the University of Science and Technology of China, which utilizes radio technology and artificial intelligence to detect AF without the need for physical contact or equipment [2][4]. Group 1: Technology Overview - The new system employs AI and radar technology to monitor heart movements via radio waves, achieving AF detection without any physical contact or operational requirements [4][11]. - The system's performance is comparable to traditional ECG methods, with a sensitivity of 0.844 and specificity of 0.995, based on tests conducted on 6,258 outpatient patients, including 229 AF patients [7]. Group 2: Practical Applications - The system has been validated in real-life scenarios, successfully detecting AF in two out of 27 subjects before clinical diagnosis during sleep [7][9]. - It shows potential for lifelong proactive monitoring of AF progression, integrating seamlessly into daily life activities such as sleep or work [11]. Group 3: Innovations and Methodology - Key innovations include a millimeter-wave radar designed to capture minute heart movements and the use of knowledge transfer techniques to train AI models based on existing ECG datasets [9][11]. - The system aims to enhance existing AF screening and diagnostic workflows, promoting personalized and proactive management strategies in cardiovascular healthcare [11].