心脏超声心动图
心率
呼吸频率
医学
多导睡眠图
呼吸
光容积图
脉搏血氧仪
心脏病学
容积描记器
睡眠(系统调用)
安眠药
心率变异性
物理医学与康复
物理疗法
内科学
麻醉
睡眠障碍
血压
呼吸暂停
计算机科学
失眠症
滤波器(信号处理)
操作系统
精神科
计算机视觉
作者
David Mack,James T. Patrie,Paul M. Suratt,Robin A. Felder,M. Alwan
标识
DOI:10.1109/titb.2008.2007194
摘要
Techniques such as ballistocardiography (BCG) that can provide noninvasive long-term physiological monitoring have gained interest due to a growing recognition of adverse effects from poor sleep and sleep disorders. The noninvasive analysis of physiological signals (NAPS) system is a BCG-based monitoring system developed to measure heart rate, breathing rate, and musculoskeletal movement that shows promise as a general sleep analysis tool. Overnight sleep studies were conducted on 40 healthy subjects during a clinical trial at the University of Virginia. The NAPS system's measures of heart rate and breathing rate were compared to ECG, pulse oximetry, and respiratory inductance plethysmography (RIP). The subjects were split into a training dataset and a validation dataset, maintaining similar demographics in each set. The NAPS system accurately detected heart rate, averaged over the prescribed 30-s epochs, to within less than 2.72 beats per minute of ECG, and accurately detected breathing rate, averaged over the same epochs, to within 2.10 breaths per minute of RIP bands used in polysomnography.
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