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Processing of the ECG orthogonal band-pass filter with the subsequent transfer in the phase plane
Author(s) -
Yuliya Grishanovich,
Dmitry Potekhin
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1333/3/032025
Subject(s) - morlet wavelet , filter (signal processing) , computer science , transfer function , fourier transform , phase (matter) , plane (geometry) , pattern recognition (psychology) , signal processing , wavelet transform , artificial intelligence , wavelet , digital signal processing , mathematics , discrete wavelet transform , physics , computer vision , engineering , mathematical analysis , geometry , quantum mechanics , computer hardware , electrical engineering
One of the methods of diagnosis and recognition of cardiovascular diseases is electrocardiography. The current state of diagnosis of cardiovascular diseases requires the development of new approaches to the analysis of electrocardiograms, there is a need to create new algorithms for processing information received from patients as a result of ECG removal. In this paper, it is proposed to use a band-pass orthogonal digital filter based on the Morlet wavelet function for processing electrocardiograms, which is not sensitive to the constant displacement of the input signal, does not have the Gibbs effect, which provides a better level of suppression in the barrier band obtained using the Fourier transform, followed by its transfer to the phase plane. The phase plane has found application in medicine for increase of reliability of the analysis and interpretation of an electrocardiogram for the purpose of increase of informativeness of cardiograms.

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