1. A New Recognition Algorithm for Shockable Arrhythmias and Its Performance Analysis
- Author
-
Yoshihiro Yamaguchi, Hidetoshi Oya, Shogo Hirata, Kazushi Nakano, Yoshikatsu Hoshi, Takashi Igarashi, Takayuki Okai, and Hiroshi Miyauchi
- Subjects
medicine.diagnostic_test ,business.industry ,Computer science ,Feature extraction ,Wavelet transform ,020206 networking & telecommunications ,Sudden cardiac arrest ,Pattern recognition ,02 engineering and technology ,Time–frequency analysis ,03 medical and health sciences ,ComputingMethodologies_PATTERNRECOGNITION ,0302 clinical medicine ,0202 electrical engineering, electronic engineering, information engineering ,medicine ,ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS ,cardiovascular diseases ,030212 general & internal medicine ,Artificial intelligence ,medicine.symptom ,business ,Recognition algorithm ,Electrocardiography - Abstract
This paper proposes a new recognition algorithm for shockable arrhythmias for patients suffering from sudden cardiac arrest. In this paper, by using gabor wavelet transform (GWT), useful and effective spectrum features for electrocardiogram (ECG) are extracted. The proposed recognition algorithm based on spectrum features can achieve good performance comparing with the existing results, i.e. the result of this paper is useful.
- Published
- 2018
- Full Text
- View/download PDF