鼾声的动态变化及其与阻塞性睡眠呼吸暂停的关系
Dynamics of Snoring Sounds and Its Connection with Obstructive Sleep Apnea
摘要：
打鼾在普通人群中非常常见，当打鼾不规则时，可能表明存在阻塞性睡眠呼吸暂停。我们分析了夜间序列的波包--打鼾的声音--记录在全多导睡眠图在睡眠实验室的病人，由于怀疑阻塞性睡眠呼吸暂停。我们假设持续时间在10到100秒之间的不规则打鼾与呼吸道阻塞事件相关。我们发现，不规则打鼾的数量--容易获得，并通过我们称之为打鼾时间间隔指数（STII）进行量化--与众所周知的呼吸暂停低通气指数非常一致，呼吸暂停低通气指数表示阻塞性睡眠呼吸暂停的严重程度，仅从多导睡眠图中提取。此外，打鼾声音本身的Hurst分析（其计算作为时间间隔的函数的信号中的波动）用于构建能够区分没有或轻度呼吸暂停的患者与中度或重度呼吸暂停的患者的分类器。
英文摘要：
Snoring is extremely common in the general population and when irregular may indicate the presence of obstructive sleep apnea. We analyze the overnight sequence of wave packets --- the snore sound --- recorded during full polysomnography in patients referred to the sleep laboratory due to suspected obstructive sleep apnea. We hypothesize that irregular snore, with duration in the range between 10 and 100 seconds, correlates with respiratory obstructive events. We find that the number of irregular snores --- easily accessible, and quantified by what we call the snore time interval index (STII) --- is in good agreement with the well-known apnea-hypopnea index, which expresses the severity of obstructive sleep apnea and is extracted only from polysomnography. In addition, the Hurst analysis of the snore sound itself, which calculates the fluctuations in the signal as a function of time interval, is used to build a classifier that is able to distinguish between patients with no or mild apnea and patients with moderate or severe apnea.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
