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Pulse Rate Variability Analysis for Discrimination of Sleep-Apnea-Related Decreases in the Amplitude Fluctuations of Pulse Photoplethysmographic Signal in Children

机译:辨别儿童睡眠呼吸暂停相关下降幅度的脉搏频率变异性分析

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摘要

A technique for ambulatory diagnosis of the obstructive sleep apnea syndrome (OSAS) in children based on pulse photoplethysmographic (PPG) signal is presented. Decreases in amplitude fluctuations of the PPG signal (DAP) events have been proposed as OSAS discriminator, since they are related to vasoconstriction associated to apnea. Heart rate variability (HRV) analysis during these DAP events has been proposed to discriminate between DAP events related or unrelated to an apneic event. The use of HRV requires electrocardiogram (ECG) as an additional recording, meaning a disadvantage that takes more relevance in sleep studies context where the number of sensors is tried to be minimized in order not to affect the physiological sleep. This study proposes the use of pulse rate variability (PRV) extracted from the PPG signal instead of HRV. Polysomnographic registers from 21 children (aged $hbox{4.47} pm hbox{2.04}$ years) were studied. The subject classification based on DAP events and PRV analysis obtained an accuracy of $hbox{86.67}$% which represents an improvement of $hbox{6.67}$% with respect to the HRV analysis. These results suggest that PRV can be used in apnea detectors based on DAP events, to discriminate apneic from nonapneic events avoiding the need for ECG recordings.
机译:提出了一种基于脉搏光体积描记术(PPG)信号的儿童阻塞性睡眠呼吸暂停综合症(OSAS)动态诊断技术。已提出将PPG信号(DAP)事件的幅度波动减小作为OSAS判别器,因为它们与呼吸暂停相关的血管收缩有关。已提出在这些DAP事件中进行心率变异性(HRV)分析,以区分与呼吸暂停事件相关或无关的DAP事件。 HRV的使用需要心电图(ECG)作为附加记录,这意味着在试图尽量减少传感器数量以不影响生理性睡眠的睡眠研究中,这一缺点变得尤为重要。这项研究建议使用从PPG信号中提取的脉搏率变异性(PRV)代替HRV。研究了来自21名儿童(年龄hbox {4.47} pm hbox {2.04} $岁)的多导睡眠监测仪。基于DAP事件和PRV分析的主题分类获得了$ hbox {86.67} $%的准确度,相对于HRV分析而言,这代表了$ hbox {6.67} $%的改进。这些结果表明,PRV可用于基于DAP事件的呼吸暂停检测器中,以区分呼吸暂停和非呼吸暂停事件,从而无需进行ECG记录。

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