Research on QRS waveform detection based on difference absolute value extreme

shun yu, Ping Zhang, Xun Zhao
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Abstract

ECG signal is an important basis for clinical diagnosis of cardiovascular disease, and ECG signal automatic detection of cardiovascular disease is the core of automatic diagnosis. In this paper, based on the existing ECG signal detection and location algorithm, a differential absolute value extremum algorithm is proposed. This algorithm combines the original difference algorithm principle and the difference absolute value, at the same time in the final positioning abandoned the discrete sampling location method, and using the extremum positioning method, which improves the positioning accuracy. Using this algorithm, the QRS waveforms of 5 groups of ECGs were detected and the detection accuracy was 99.67%.
基于差分绝对值极值的QRS波形检测研究
心电信号是心血管疾病临床诊断的重要依据,心电信号自动检测是心血管疾病自动诊断的核心。本文在现有心电信号检测与定位算法的基础上,提出了一种微分绝对值极值算法。该算法结合了原有的差分算法原理和差分绝对值,同时在最终定位时摒弃了离散采样定位方法,而采用极值定位方法,从而提高了定位精度。应用该算法检测了5组心电图的QRS波形,检测准确率为99.67%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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