首页> 外文期刊>Arabian Journal for Science and Engineering. Section A, Sciences >Heart Rate Detection on Single-Arm ECG by Using Dual-Median Approach
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Heart Rate Detection on Single-Arm ECG by Using Dual-Median Approach

机译:用双中学方法对单臂ECG的心率检测

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摘要

This study introduces a system to obtain correct heart rate values on single-arm ECG signals. For preparing a dataset, single-arm and dual-arm measurements were taken from the healthy volunteers; then, to increase the diversity of the data and test the limits of the method, some artificial noises are added to the unfiltered raw signals. The signals in the dataset were cleaned with the IIR filter, and then, their significant frequency sub-bands were selected using wavelet transform. The heart rate (HR) determined by the proposed algorithm from the single arm and compared with the ones of the dual-arm signals. The median function, which is used twice in the algorithm, did not only help to overcome the artifacts, but also facilitate to count peaks. According to the results, if the algorithm used in real-time applications, it is enough to wait only for 5 s from the moment that the system first started to find the HR with an MAE around one bpm, and 1 min for an MAE around 0.6 bpm. The most important advantage of this study is the superior performance of the algorithm on finding HR from noisy single-arm ECG signals with the lowest error in the literature and using dual-arm ECG measurement ground truth and as a reference to optimize the parameters of the algorithm.
机译:本研究介绍了一种在单臂ECG信号上获得正确的心率值的系统。为了准备数据集,从健康的志愿者拍摄单臂和双臂测量;然后,为了增加数据的多样性并测试该方法的限制,将一些人造噪声添加到未过滤的原始信号中。使用IIR滤波器清洁数据集中的信号,然后使用小波变换选择其显着的频率子带。由来自单臂的所提出的算法确定的心率(HR)并与双臂信号中的算法进行比较。在算法中使用两次中位功能,不仅有助于克服伪像,还有助于计算峰值。根据结果​​,如果在实时应用中使用的算法,它足以等到5秒,系统首次开始与围绕一个BPM的MAE找到HR,以及周围的MAE 1分钟0.6 bpm。本研究中最重要的优势是算法的卓越性能,算法从嘈杂的单臂ECG信号找到HR,在文献中的最低误差和使用双臂ECG测量原理以及优化参数的参考算法。

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