A New Recongnition System Based on Gabor Wavelet Transform for Shockable Electrocardiograms
Takayuki Okai, Shonosuke Akimoto, Hidetoshi Oya, Kazushi Nakano, Hiroshi Miyauchi, Yoshikatsu Hoshi
Journal of Applied Life Sciences International · pp. 40–51 · Published 31 Dec 2020
10.9734/jalsi/2020/v23i1230203Abstract
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.
Cited by 2
Shunta Noguchi, Yuta Yoshikawa, Takayuki Okai · 2024 IEEE 3rd Industrial Electronics Society Annual On-Line Conference (ONCON) · 2024
Yuta Yoshikawa, Takayuki Okai, Hidetoshi Oya · 2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) · 2022
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