快速眼动睡眠的呼吸频率分类

G. Chung, B. H. Choi, K. Kim, Y. Lim, J. Choi, D. Jeong, K. Park
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引用次数: 22

摘要

多导睡眠描记法是一种可靠、规范的睡眠质量评价方法。然而,要完成它,受试者必须在他们的身体上安装许多传感器。这似乎是侵入性的,混乱的,打断了受试者的睡眠。为了监测日常睡眠模式,需要一种简便、无创的生物信号测量方法。此时,呼吸是一个有益的信号,因为它可以很容易地通过检查胸部或腹部的变化来获得。呼吸是自主神经系统反映的代表之一。根据睡眠阶段的过渡,自主神经系统也会发生变化,这可以通过呼吸来表现。在本研究中,快速眼动睡眠和非快速眼动睡眠仅通过对3个受试者的呼吸进行分类。为了提高实验性能,在实验床上加入称重传感器采集到的活动信号,以区分清醒和快速眼动睡眠。在结果的基础上,将多导睡眠图与多导睡眠图进行比较。可以看出,快速眼动睡眠与呼吸频率增加模式之间存在高度相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
REM Sleep Classification with Respiration Rates
Polysomnagraphy, the method evaluating the sleep quality, is the reliable and standard method. However, to perform it, subject has to attach many sensors to their body. It seems intrusive, tangled and interrupting the subjects sleep. For the sake of monitoring the daily sleep pattern, simple method measuring the biosignal nonintrusively is needed. At that point, respiration is a beneficial signal, because it can be easily acquired by check the change of the thorax or abdomen. Respiration is one of the representatives of the reflection of the autonomic nervous system. According to the transition of the sleep stages, autonomic nervous system also changes and it can be shown by respiration. In this study, REM and non-REM sleep is classified by only using respiration for the 3 subjects. To enhance the performance, activity signal acquired by load-cell installed bed is added to divide the wake and REM sleep. At the results, hypnograms with polysomnagraphic data is compared with them. It can be seen that high correlation between the REM sleep and increasing pattern of the respiration rates.
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