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
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.