A New Method for Electrocardiogram Features Extraction Using Slope Change Coefficients

A new method of Electrocardiogram (ECG) features extraction is proposed in this paper. The purpose of this study is to detect the main characteristics of the signal: P, Q, R, S, and T, then localize and extract its intervals and segments. To do so we first detect peaks, onsets and offsets of the sig...

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Main Author: Skander Bensegueni
Format: Article
Language:English
Published: Polish Academy of Sciences 2023-03-01
Series:International Journal of Electronics and Telecommunications
Subjects:
Online Access:https://journals.pan.pl/Content/126536/PDF/5.pdf
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author Skander Bensegueni
author_facet Skander Bensegueni
author_sort Skander Bensegueni
collection DOAJ
description A new method of Electrocardiogram (ECG) features extraction is proposed in this paper. The purpose of this study is to detect the main characteristics of the signal: P, Q, R, S, and T, then localize and extract its intervals and segments. To do so we first detect peaks, onsets and offsets of the signal's waveform by calculating the slope change (SC) coefficients and consequently, the peaks of the signal are determined. The SC coefficients are based on the calculation of the integral of two-scale signals with opposite signs. The simulation results of our algorithm applied on recordings of MIT-BIH arrhythmia electrocardiogram database show that the proposed method delineates the electrocardiogram waveforms and segments with high precision.
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spelling doaj.art-01fcab67a7a1476f9d5bfed8e4c04e5f2023-03-16T14:58:28ZengPolish Academy of SciencesInternational Journal of Electronics and Telecommunications2081-84912300-19332023-03-01vol. 69No 13339https://doi.org/10.24425/ijet.2023.144328A New Method for Electrocardiogram Features Extraction Using Slope Change CoefficientsSkander Bensegueni0Department of Electronics, Electrical Engineering and Automatic, Ecole Nationale Polytechnique, Constantine, AlgeriaA new method of Electrocardiogram (ECG) features extraction is proposed in this paper. The purpose of this study is to detect the main characteristics of the signal: P, Q, R, S, and T, then localize and extract its intervals and segments. To do so we first detect peaks, onsets and offsets of the signal's waveform by calculating the slope change (SC) coefficients and consequently, the peaks of the signal are determined. The SC coefficients are based on the calculation of the integral of two-scale signals with opposite signs. The simulation results of our algorithm applied on recordings of MIT-BIH arrhythmia electrocardiogram database show that the proposed method delineates the electrocardiogram waveforms and segments with high precision.https://journals.pan.pl/Content/126536/PDF/5.pdfecg waveform peaksecg segments and intervalsslope change coefficients
spellingShingle Skander Bensegueni
A New Method for Electrocardiogram Features Extraction Using Slope Change Coefficients
International Journal of Electronics and Telecommunications
ecg waveform peaks
ecg segments and intervals
slope change coefficients
title A New Method for Electrocardiogram Features Extraction Using Slope Change Coefficients
title_full A New Method for Electrocardiogram Features Extraction Using Slope Change Coefficients
title_fullStr A New Method for Electrocardiogram Features Extraction Using Slope Change Coefficients
title_full_unstemmed A New Method for Electrocardiogram Features Extraction Using Slope Change Coefficients
title_short A New Method for Electrocardiogram Features Extraction Using Slope Change Coefficients
title_sort new method for electrocardiogram features extraction using slope change coefficients
topic ecg waveform peaks
ecg segments and intervals
slope change coefficients
url https://journals.pan.pl/Content/126536/PDF/5.pdf
work_keys_str_mv AT skanderbensegueni anewmethodforelectrocardiogramfeaturesextractionusingslopechangecoefficients
AT skanderbensegueni newmethodforelectrocardiogramfeaturesextractionusingslopechangecoefficients