%0 Journal Article %A A.Sankara Subramanian and G.Gurusamy and G.Selvakumar and P.Gnanasekar and A.Nagappan %D 2011 %J International Journal of Biomedical and Biological Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 60, 2011 %T ECG Analysis using Nature Inspired Algorithm %U https://publications.waset.org/pdf/15617 %V 60 %X This paper presents an algorithm based on the wavelet decomposition, for feature extraction from the ECG signal and recognition of three types of Ventricular Arrhythmias using neural networks. A set of Discrete Wavelet Transform (DWT) coefficients, which contain the maximum information about the arrhythmias, is selected from the wavelet decomposition. After that a novel clustering algorithm based on nature inspired algorithm (Ant Colony Optimization) is developed for classifying arrhythmia types. The algorithm is applied on the ECG registrations from the MIT-BIH arrhythmia and malignant ventricular arrhythmia databases. We applied Daubechies 4 wavelet in our algorithm. The wavelet decomposition enabled us to perform the task efficiently and produced reliable results. %P 647 - 651