A New Recognition Algorithm for Shockable Arrhythmias and Its Performance Analysis

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.

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