A New Recongnition System Based on Gabor Wavelet Transform for Shockable Electrocardiograms

This paper presents a new recognition system for shockable arrhythmias for patients suffering from sudden cardiac arrest. In order to develop the recognition system, lots of electrocardiogram (ECGs) have been analyzed by using gabor wavelet transform (GWT). Although, there is a huge number of spectr...

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Bibliographic Details
Published inJournal of Applied Life Sciences International pp. 40 - 51
Main Authors Okai, Takayuki, Akimoto, Shonosuke, Oya, Hidetoshi, Nakano, Kazushi, Miyauchi, Hiroshi, Hoshi, Yoshikatsu
Format Journal Article
LanguageEnglish
Published 01.01.2021
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Summary:This paper presents a new recognition system for shockable arrhythmias for patients suffering from sudden cardiac arrest. In order to develop the recognition system, lots of electrocardiogram (ECGs) have been analyzed by using gabor wavelet transform (GWT). Although, there is a huge number of spectrum feature parameters, recognition performance for all combinations for spectrum feature parameters are evaluated, and on the basis of the evaluation results, useful and effective spectrum features for ECGs are extracted. As a result, the proposed recognition system based on the selected effective spectrum feature parameters can achieved good performance comparing with the existing results.
ISSN:2394-1103
2394-1103
DOI:10.9734/jalsi/2020/v23i1230203