中国团队研发出非接触式房颤检测系统 助心律失常早发现早干预

Core Insights - A new non-contact atrial fibrillation (AF) detection system has been developed by a team of Chinese scientists, utilizing radar sensing and artificial intelligence (AI) technology to monitor arrhythmia symptoms wirelessly, potentially allowing for earlier detection and intervention compared to traditional clinical methods [1][3]. Group 1: Technology and Methodology - The system captures sub-millimeter heart movements remotely using radio signals and employs a knowledge transfer-driven AI framework to identify AF patterns from electrocardiogram (ECG) diagnostics [3]. - The innovative approach establishes a mapping between cardiac electrical activity and mechanical motion, leveraging validated ECG signal features to assist neural networks in recognizing abnormal mechanical fluctuations specific to AF [3]. Group 2: Clinical Evaluation - The research team evaluated the non-contact AF detection system using data from 6,258 outpatient patients, including 229 AF patients, and found that the system's sensitivity and specificity in detecting AF were comparable to that of ECG [3]. - Further testing on 27 patients during regular sleep demonstrated the system's potential in detecting the presence and episodes of AF [3][4]. Group 3: Future Implications - The non-contact AF detection system shows promise for deployment in everyday life, which could facilitate large-scale early screening and proactive management of AF patients [4].