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Unobtrusive, Through-Clothing ECG and Bioimpedance Monitoring in Sleep Apnea Patients

机译:睡眠呼吸暂停患者的不显眼,穿透心电图和生物阻抗监测

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A real-life validation of a system for simultaneous acquisition of capacitively-coupled ECG (ccECG) and capacitively-coupled bioimpedance (ccBioz) is presented. The heart rate (HR) and respiration rate (RR) estimation performance was evaluated using polysomnography (PSG) signals as ground-truth, in recordings from 28 patients with suspected obstructive sleep apnea (OSA). A ccECG beat detection sensitivity of 98.4% and an R-R interval mean absolute error (MAE) of 17.1 ms were achieved when applying quality-based algorithms. RR MAE values of 3.48 and 6.37 breaths per minute were also achieved when using two different RR extraction methods. High similarity between unobtrusive signals and PSG ground-truth was observed, with a correlation between ccECG and psgECG of 91.5% and a correlation between ccBioz and PSG thoracic belt (TB) of 89.5%. Even in episodes containing OSA events, the characteristic respiration behavior of TB signals was also observed in the ccBioz signals. This shows the potential of ccECG and ccBioz for use in long-term monitoring without adding discomfort to the patient or user. Sleep-related applications as well as more generic cardiorespiratory monitoring in (patient) beds are obvious applications, but also other daily life monitoring can be done using a similar approach (e.g. in seats).
机译:提出了一种用于同时采集电容耦合的ECG(CCECG)和电容耦合生物阻抗(CCBIOZ)的系统的真实验证。使用多肌气摄影(PSG)信号作为地面真理评估心率(HR)和呼吸率(RR)估计性能,从28例疑似阻塞性睡眠呼吸暂停(OSA)的历史记录中。在应用基于质量的算法时,实现了98.4%的CCECG击败检测灵敏度和17.1ms的R-R间隔绝对误差(MAE)。使用两种不同的RR提取方法,还可以实现每分钟3.48和6.37呼吸的RR MAE值。观察到不引声信号与PSG地面真理之间的高相似性,CCECG和PSGECG之间的相关性为91.5%,CCBIOZ和PSG胸带(TB)之间的相关性为89.5%。即使在包含OSA事件的剧集中,也在CCBIOZ信号中观察到TB信号的特征呼吸行为。这表明CCECG和CCBIOZ用于长期监测的潜力,而不会对患者或用户添加不适。睡眠相关的应用以及(患者)床的更多通用心肺监测是明显的应用,而且可以使用类似的方法(例如座位)进行其他日常生活监测。

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