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Electrocardiogram (ECG) analysis is the method for cardiac arrhythmia diagnosis. Cardiac arrhythmia is a group of diseases in which the heart beat shows irregularities. The classification of the correct type of Arrhythmia is a necessary and critical issue which becomes difficult in certain cases. In certain cases the Atrial Electrical Activity(AEA) signals are hidden in some other waves and they cannot be detected and classified easily from surface. This paper presents a method by which classification of cardiac arrhythmia is done by processing the ECG. The procedure is done by identifying the QRS complex and thus its position in the preprocessed digitised ECG. The AEA signals in the ECG is identified using a semi-automatic method called Separation Using Maximum Energy Ratio (SUMER), which is found efficient in identifying the hidden waves. In SUMER, an energy ratio based cost function is created and …