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International Journal of Frontiers in Engineering Technology, 2022, 4(5); doi: 10.25236/IJFET.2022.040508.

Filter design for ECG signal processing

Author(s)

Haoren Xu1, Boning An2, Xie He3

Corresponding Author:
Xie He
Affiliation(s)

1School of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun, Jilin Province, China

2SWJTU-Leeds Joint School, Southwest Jiaotong University, Chengdu, Sichuan Province, China

3University of Glasgow, University of Electronic Science and Technology of China, Chengdu, Sichuan Province, China 

Abstract

Digital filters, as one of the most essential tools for signal processing, are often used in ECG signal processing. The hardware implementation of conventional digital filters relies on a hybrid device composed of a digital multiplier, an adder, and a delay unit. However, it has characteristics of a large amount of calculation, complex structure, and high overhead. With the development of computer technology, software implementation of signal processing and filter designing has been increasingly used. As a typical physiological signal, an ECG signal is characterized by a weak signal, complex noise, broad frequency spectrum, and little data sampling. The ECG filter designed by software can effectively weaken the useless noise in ECG signals, helping medical personnel obtain relevant information on patients’ symptoms and realize the diagnosis of diseases.

Keywords

signal processing, digital filter, software design, ECG filtering, disease diagnosis

Cite This Paper

Haoren Xu, Boning An, Xie He. Filter design for ECG signal processing. International Journal of Frontiers in Engineering Technology (2022), Vol. 4, Issue 5: 42-51. https://doi.org/10.25236/IJFET.2022.040508.

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