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Development and Preliminary Validation of Heart Rate and Breathing Rate Detection Using a Passive, Ballistocardiography-Based Sleep Monitoring System

机译:使用基于被动心动描记法的睡眠监测系统开发和初步验证心率和呼吸率

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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.
机译:由于越来越多地认识到不良睡眠和睡眠障碍对不良反应的影响,因此可以提供无创长期生理监测的诸如心冲击描记法(BCG)之类的技术引起了人们的兴趣。生理信号的非侵入性分析(NAPS)系统是基于BCG的监视系统,旨在测量心率,呼吸频率和骨骼肌肉的运动,显示出有望作为一般的睡眠分析工具。在弗吉尼亚大学进行的一项临床试验中,对40名健康受试者进行了隔夜睡眠研究。将NAPS系统对心率和呼吸率的测量结果与ECG,脉搏血氧饱和度和呼吸感应体积描记法(RIP)进行了比较。将受试者分为训练数据集和验证数据集,在每组中保持相似的人口统计学。 NAPS系统准确地检测到在规定的30 s周期内平均的心率,每分钟心电图不到2.72次心跳;准确地检测到同一时期的平均心跳,在所使用的RIP频段每分钟2.10次呼吸内在多导睡眠图中。

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