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Estimation of the Respiratory Rate from Localised ECG at Different Auscultation Sites

机译:估计不同听诊网站的局部心电图的呼吸率

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摘要

The respiratory rate (RR) is a vital physiological parameter in prediagnosis and daily monitoring. It can be obtained indirectly from Electrocardiogram (ECG) signals using ECG-derived respiration (EDR) techniques. As part of the study in designing an early cardiac screening system, this work aimed to study whether the accuracy of ECG derived RR depends on the auscultation sites. Experiments were conducted on 12 healthy subjects to obtain simultaneous ECG (at auscultation sites and Lead I as reference) and respiration signals from a microphone close to the nostril. Four EDR algorithms were tested on the data to estimate RR in both the time and frequency domain. Results reveal that: (1) The location of the ECG electrodes between auscultation sites does not impact the estimation of RR, (2) baseline wander and amplitude modulation algorithms outperformed the frequency modulation and band-pass filter algorithms, (3) using frequency domain features to estimate RR can provide more accurate RR except when using the band-pass filter algorithm. These results pave the way for ECG-based RR estimation in miniaturised integrated cardiac screening device.
机译:呼吸速率(RR)是术中的重要生理学参数和日常监测。可以使用ECG衍生的呼吸(EDR)技术间接地从心电图(ECG)信号间接获得。作为设计早期心脏筛选系统的研究的一部分,这项工作旨在研究ECG导出的RR的准确性是否取决于听诊网站。在12个健康受试者中进行实验,以获得同时ECG(在听诊部位和引导I作为参考),以及来自鼻孔的麦克风的呼吸信号。在数据上测试四个EDR算法以在时间和频域中估计RR。结果表明:(1)Auscultation站点之间的ECG电极的位置不会影响RR的估计,(2)基线漫游和幅度调制算法的估计优于使用频域的频率调制和带通滤波器算法,(3)除了使用带通滤波器算法时,估计RR的功能可以提供更准确的RR。这些结果为小型化集成心脏筛选装置中基于ECG的RR估计铺平了道路。

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