ヨシダ ミノル   Yoshida Minoru
  吉田 稔
   所属   神奈川大学  工学部 情報システム創成学科
    神奈川大学大学院  工学研究科 工学専攻(情報システム創成領域)
   職種   教授
言語種別 英語
発行・発表の年月 2021/07
形態種別 学術雑誌
査読 査読あり
標題 An analysis of electrocardiograms through the wavelet
transform with pseudo differential operator like operators
執筆形態 共著
掲載誌名 Proceedings of 40th JSST Annual
掲載区分国内
出版社・発行元 International Conference on Simulation Technology (JSST 2021)
巻・号・頁 40(To aapare)
著者・共著者 Masudur Rahman
概要 A qualitative improvement of existing detection procedures for arrhythmias diagnosis system is proposed.Just by a standard application of the wavelet transform to electrocardiography (ECG),it is not easy to detect the difference, in the frequency levels, between some of the shockable and non-shockable arrhythmia in the class of abnormal signals. Here, we apply the {\it{wavelet transform of the image of the pseudo-differential operator like operators}} acted on the ECG signals and take, as statistics, the scalo-graphic representation of it and its histogram. As a result, significant difference between two abnormal classes of the signals, shockable
(known as VT and VF) and non-shockable arrhythmia (known as PEA), are manifested and presented graphically and numerically.