Wavelet Decomposition for Detection and Classification of Critical ECG Arrhythmias
نویسندگان
چکیده
This paper presents an algorithm based on the wavelet decomposition, for feature extraction from the ECG signal and recognition of four types of Ventricular Arrhythmias. A set of Discrete Wavelet Transform (DWT) coefficients, which contain the maximum information about the arrhythmia, was selected from the wavelet decomposition. The algorithm is applied on the ECG registrations from the MIT-BIH arrhythmia and malignant ventricular arrhythmia databases. We applied two different wavelets in our algorithm and the results were compared. The wavelet decomposition enabled us to perform the task with small amount of information. Key-words: ECG, Ventricular Arrhythmia, Wavelet Decomposition, Daubechies, Cubic Spline Wavelets
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