在睡眠期间使用打的,呼吸力和心电图信号来检测OSA和严重程度分类
K Bahr-Hamm1, A Abriani1, A R Anwar2
1Sleep Medicine Center, Department of Otorhinolaryngology, University Medical Center Mainz, Germany.
Sleep medicine
|September 15, 2023
概括
打的声音可以帮助检测阻塞性睡眠呼吸暂停 (OSA),并对其严重程度进行分类. 这种方法使用了部分多睡眠学 (PSG) 信号,为OSA查提供了一个有希望的替代方案.
科学领域:
- 睡眠医学 睡眠医学
- 生物医学信号处理
- 心血管呼吸系统生理学
背景情况:
- 阻塞性睡眠呼吸暂停 (OSA) 是一种常见的疾病,通过多睡眠学 (PSG) 诊断.
- 目前的诊断方法依赖于全面的PSG,需要专门的设备和专业知识.
- 探索用于OSA检测和严重程度分类的替代标记对于更广泛的可访问性至关重要.
研究的目的:
- 为了评估打声音的有效性,心电图 (ECG-VLF) 和胸腔腹部劳力信号作为OSA检测的替代标记.
- 评估这些值对OSA严重程度的分类能力.
- 为了比较不同信号的预测准确度,用于OSA诊断和严重程度.
主要方法:
- 从86名患者的全夜PSG记录的回顾性分析.
- 在不同睡眠阶段计算抽样 (SampEn) 进行打,心电图-VLF和胸腔-腹部劳动信号.
- 使用支持矢量机 (SVM) 算法与1720个时代的OSA严重性分类.
主要成果:
- 度分析成功地区分了四个OSA严重程度类别 (非OSA,轻度,中度,严重).
- 打信号表明了最高的预测准确性.
- 与第一晚相比,第二晚的PSG录音在所有测试的信号中产生了更显著的结果.
结论:
- 打的抽样,ECG-VLF,或胸腔腹部努力信号可以作为OSA诊断和严重程度预测的替代标记.
- 在这项探索性研究中,打信号度表现出最大的预测精度.
- 使用部分PSG信号的技术,如声音记录设备,显示了OSA查和严重程度分类的潜力.
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