在睡眠期间使用无线声学传感器的气管录音自动心率检测
Julia Zofia Tomaszewska1, Marcel Młyńczak2, Apostolos Georgakis1
1School of Computing and Engineering, University of West London, London W5 5RF, UK.
Diagnostics (Basel, Switzerland)
|September 28, 2023
概括
这项研究引入了一种使用气管音频录制监测心率 (HR) 的新方法. 该系统达到92%以上的准确性,为家庭睡眠障碍诊断提供了一个方便的工具.
科学领域:
- 生物医学工程 生物医学工程
- 睡眠医学 睡眠医学
- 信号处理 信号处理
背景情况:
- 心率 (HR) 是评估患者状况和诊断睡眠障碍 (如睡眠呼吸暂停) 的关键诊断参数.
- 传统的HR监测方法包括心电图 (ECG) 和光电脉图 (PPG).
研究的目的:
- 用气管音频录制来研究一种替代的,非侵入性的心率检测和监测方法.
- 开发和验证一个系统,方便的,在睡眠期间在家进行心率评估.
主要方法:
- 使用了56名参与者的气管录音 (6名用于ECG霍尔特初始验证,50名用于多睡眠学比较).
- 开发了一种使用数字过和峰值检测算法的系统,该算法用于通过超关节中无线接触麦克风获取的音频数据.
主要成果:
- 在对ECG Holter数据进行验证时,该系统达到92%以上的准确性.
- 与多睡眠学衍生HR的评估显示出强烈的相关性 (皮尔森r=0.82-0.93),误差最小 (0.89-0.97在±3 BPM).
结论:
- 拟议的基于气管的音频系统提供精确的心率监测.
- 这种方法为家庭睡眠障碍诊断提供了方便的解决方案,在睡眠期间方便地进行HR评估.
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