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气流分析在睡眠呼吸暂停中的应用。

Airflow Analysis in the Context of Sleep Apnea.

机构信息

Biomedical Engineering Group, University of Valladolid, Valladolid, Spain.

Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Valladolid, Spain.

出版信息

Adv Exp Med Biol. 2022;1384:241-253. doi: 10.1007/978-3-031-06413-5_14.

Abstract

The airflow (AF) is a physiological signal involved in the overnight polysomnography (PSG) that reflects the respiratory activity. This signal is able to show the particularities of sleep apnea and is therefore used to define apneic events. In this regard, a growing number of studies have shown the usefulness of employing the overnight airflow as the only or combined information source for diagnosing sleep apnea in both children and adults. Due to its easy acquisition and interpretation, this biosignal has been widely analyzed by means of different signal processing techniques. In this chapter, we review the main methodological approaches applied to characterize and extract relevant information from this signal. In view of the results, we can conclude that the overnight airflow successfully reflects the particularities caused by the occurrence of apneic and hypopneic events and provides useful information for obtaining relevant biomarkers that characterize this disease.

摘要

气流 (AF) 是夜间多导睡眠图 (PSG) 中涉及的生理信号,反映了呼吸活动。该信号能够显示睡眠呼吸暂停的特点,因此被用于定义呼吸暂停事件。在这方面,越来越多的研究表明,将夜间气流作为唯一或联合信息源用于诊断儿童和成人睡眠呼吸暂停是有用的。由于其易于获取和解释,该生物信号已被广泛分析,采用了不同的信号处理技术。在本章中,我们回顾了用于从该信号中表征和提取相关信息的主要方法学方法。根据结果,我们可以得出结论,夜间气流成功地反映了由呼吸暂停和呼吸不足事件引起的特点,并提供了有用的信息,用于获得表征这种疾病的相关生物标志物。

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