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The most vulnerable problem for human beings is Heart Disease. Heart beat is represented by electrocardiogram (ECG) signal. The electrical activity of the heart is measured and recorded with a non-invasive method called electrocardiogram and most effective tool in diagnoses center for identifying the heart diseases. Moreover, in several occasions, the expert cardiologist may not be available at the patient's site, and some kind of automated analysis of patient's ECG is needed to take some urgent and needy preventive steps by a general physician or Para-medical staff attending the patient at site. ECG signal analysis has an important role in the diagnosis of heart diseases especially, abnormal or irregular heartbeats, namely arrhythmia. Thus, there is a necessity for automated ECG analysis. In this research, finally gives best analysis methodology for automated analysis for Multi-Channel ECG signals. PTB Diagnostic, St. Petersburg Institute of Cardiological Techniques 12-lead Arrhythmia and Physio-net/Computing in Cardiology Challenge 2011 data sets are used for analysis of methods and proposed systems.