Takayuki Okai, H. Oya, Y. Hoshi, Yoshihiro Ogino, K. Nakano, Yoshihiro Yamaguchi, H. Miyauchi
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引用次数: 3
Abstract
In order to improve survival rate of patients suffering from sudden cardiac arrest, it is very important to develop high accurate and quick recognition algorithm for shockable electrocardiogram (ECG). In this paper, we propose a new ECG recognition algorithm based on some features which are derived by analyzing ECG signals via wavelet transform, and evaluate useful feature parameters by a feature selection approach.
期刊介绍：
The aim of MIC is to present Nordic research activities in the field of modeling, identification and control to the international scientific community. Historically, the articles published in MIC presented the results of research carried out in Norway, or sponsored primarily by a Norwegian institution. Since 2009 the journal also accepts papers from the other Nordic countries.
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