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Acoustical Flow Estimation in Patients with Obstructive Sleep Apnea during Sleep

机译:睡眠期间阻塞性睡眠呼吸暂停患者的声学流量估算

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Tracheal respiratory sound analysis is a simple and non-invasive way to study the pathophysiology of the upper airways; it has recently been used for acoustical flow estimation and sleep apnea diagnosis. However in none of the previous studies, the accuracy of acoustical flow estimation was investigated neither during sleep nor in people with obstructive sleep apnea (OSA). In this study, we recorded tracheal sound, flow rate and head position from 11 individuals with OSA during sleep and wakefulness. We investigated two approaches for calibrating the parameters of acoustical flow estimation model based on the known data recorded during wakefulness and sleep. The results show that the acoustical flow estimation parameters change from wakefulness to sleep. Therefore, if the model is calibrated based on the data recorded during wakefulness, although the estimated flow follows the relative variations of the recorded flow, the quantitative flow estimation error would be high during sleep. On the other hand, when the calibration parameters are extracted from tracheal sound and flow recordings during sleep, the flow estimation error is less than 5%. These results confirm the reliability of acoustical methods for estimating breathing flow during sleep and detecting the partial or complete obstructions of the upper airways during sleep.
机译:气管呼吸声分析是研究上航道的病理生理学的简单而非侵入性的方式;它最近用于声学流量估算和睡眠呼吸暂停诊断。然而,在以前的研究中没有任何一项研究中,在睡眠期间也没有在睡眠期间或阻塞性睡眠呼吸暂停(OSA)中的人们进行研究的准确性。在这项研究中,我们在睡眠和清醒期间,在11个人中记录了11个人的气管声,流速和头部位置。我们研究了基于在清醒和睡眠期间记录的已知数据来校准声学流量估计模型参数的两种方法。结果表明,声学流量估计参数从睡眠觉醒变化。因此,如果基于在清醒期间记录的数据校准模型,尽管估计的流动遵循记录的流量的相对变化,但睡眠期间定量流动估计误差将很高。另一方面,当在睡眠期间从气管声音和流量记录中提取校准参数时,流量估计误差小于5%。这些结果证实了用于在睡眠期间估计呼吸流动的声学方法的可靠性,并在睡眠期间检测上呼吸道的部分或完全障碍物。

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