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首页> 外文会议>Annual Conference of Japanese Society for Medical and Biological Engineering;Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Variations of snoring properties with macro sleep stages in a population of Obstructive Sleep Apnea patients
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Variations of snoring properties with macro sleep stages in a population of Obstructive Sleep Apnea patients

机译：阻塞性睡眠呼吸暂停患者人群中打macro特性随宏观睡眠阶段的变化

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Snoring is common in Obstructive Sleep Apnea (OSA) patients. Snoring originates from the vibration of soft tissues in the upper airways (UA). Frequent UA collapse in OSA patients leads to sleep disturbances and arousal. In a routine sleep diagnostic procedure, sleep is broadly divided into rapid eye movement (REM), non-REM (NREM) states. These Macro-Sleep States (MSS) are known to be involved with different neuromuscular activities. These differences should influence the UA mechanics in OSA patients as well as the snoring sound (SS). In this paper, we propose a logistic regression model to investigate whether the properties of SS from OSA patients can be separated into REM/NREM group. Analyzing mathematical features of more than 500 SS events from 7 OSA patients, the model achieved 76% (± 0.10) sensitivity and 75% (± 0.10) specificity in categorizing REM and NREM related snores. These results indicate that snoring is affected by REM/NREM states and proposed method has potential in differentiating MSS.
机译：打Ob在阻塞性睡眠呼吸暂停（OSA）患者中很常见。打起因于上呼吸道（UA）中软组织的振动。 OSA患者中频繁的UA崩溃会导致睡眠障碍和唤醒。在常规的睡眠诊断程序中，睡眠大致分为快速眼动（REM），非快速眼动（NREM）状态。这些大睡眠状态（MSS）已知与不同的神经肌肉活动有关。这些差异将影响OSA患者的UA力学以及打sound声（SS）。在本文中，我们提出了一个逻辑回归模型来研究OSA患者的SS属性是否可以分为REM / NREM组。通过分析来自7位OSA患者的500多个SS事件的数学特征，该模型在对REM和NREM相关的打sn进行分类时达到了76％（±0.10）的敏感性和75％（±0.10）的特异性。这些结果表明打受REM / NREM状态的影响，并且所提出的方法具有区分MSS的潜力。

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