A Recognition Algorithm for Electrocardiogram Based on Wavelet Transform and Feature Selection

Takayuki Okai, Hidetoshi Oya, Yoshikatsu Hoshi, Yoshihiro Ogino, Kazushi Nakano, Yoshihiro Yamaguchi, and Hiroshi Miyauchi


discrimination algorithm, wavelet transform


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.

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