Real-Time Monitoring of Respiration Rhythm and Pulse Rate During Sleep
Real-Time Monitoring of Respiration Rhythm and Pulse Rate During Sleep
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DOI：
10.1109/tbme.2006.884641
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发表时间：
2006-11
影响因子：
4.6
通讯作者：
Xin Zhu;Wenxi Chen;T. Nemoto;Y. Kanemitsu;K. Kitamura;K. Yamakoshi;D. Wei
中科院分区：
文献类型：
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作者：
Xin Zhu;Wenxi Chen;T. Nemoto;Y. Kanemitsu;K. Kitamura;K. Yamakoshi;D. Wei
提出了一种无创且无约束的实时检测睡眠期间呼吸节律和脉搏率的方法。通过采用小波变换（WT）的agrave trous算法，可以通过放置在枕头下的压力传感器获取的压力信号来实时监测呼吸节律和脉搏率。呼吸节律检测的波形是从 26 尺度近似得出的，而脉率检测的波形是通过结合 24 和 25 尺度细节合成的。为了最大限度地减少数据处理的延迟并实现最高的实时性能，呼吸节律和脉搏率是通过使用直接从 WT 近似和细节分量导出的波形来估计的，无需重建过程。该方法使用从 13 名健康受试者收集的数据进行评估。与脉搏检测用手指光电体积描记图的检测结果进行比较，灵敏度和阳性预测率分别为99.17%和98.53%。同样，对于呼吸节律，与鼻热敏电阻信号检测相比，结果分别为 95.63% 和 95.42%。这项研究表明，所提出的方法有望用于呼吸节律和脉搏率监测器，用于在睡眠期间实时监测与睡眠相关的疾病
A noninvasive and unconstrained real-time method to detect the respiration rhythm and pulse rate during sleep is presented. By employing the agrave trous algorithm of the wavelet transformation (WT), the respiration rhythm and pulse rate can be monitored in real-time from a pressure signal acquired with a pressure sensor placed under a pillow. The waveform for respiration rhythm detection is derived from the 26 scale approximation, while that for pulse rate detection is synthesized by combining the 24 and 25 scale details. To minimize the latency in data processing and realize the highest real-time performance, the respiration rhythm and pulse rate are estimated by using waveforms directly derived from the WT approximation and detail components without the reconstruction procedure. This method is evaluated with data collected from 13 healthy subjects. By comparing with detections from finger photoelectric plethysmograms used for pulse rate detection, the sensitivity and positive predictivity were 99.17% and 98.53%, respectively. Similarly, for respiration rhythm, compared with detections from nasal thermistor signals, results were 95.63% and 95.42%, respectively. This study suggests that the proposed method is promising to be used in a respiration rhythm and pulse rate monitor for real-time monitoring of sleep-related diseases during sleep