Research on QRS waveform detection based on difference absolute value extreme

Shun Yu; Ping Zhang; Xun Zhao

doi:10.1117/12.2687529

28 August 2023 Research on QRS waveform detection based on difference absolute value extreme

Shun Yu, Ping Zhang, Xun Zhao

Proceedings Volume 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023); 127241A (2023) https://doi.org/10.1117/12.2687529
Event: Second International Conference on Biomedical and Intelligent Systems (IC-BIS2023), 2023, Xiamen, China

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%.

Citation Download Citation

Shun Yu, Ping Zhang, and Xun Zhao "Research on QRS waveform detection based on difference absolute value extreme", Proc. SPIE 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023), 127241A (28 August 2023); https://doi.org/10.1117/12.2687529

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