A Novel Approach for ECG Characteristic Features Detection

ECG analysis has been one of the most frequently researched topics in the diagnosis of cardiac disease. Many methods have been proposed for detection of different features of ECG. Each has its own significance. This paper explains 4 different existing methods for detection of R peak. A new method has also been proposed to combat the limitation of the existing methods. The most commonly used method Pan-Tompkins method, Successive Differentiation method, Empirical mode decomposition method and Wavelet transform method have been performed and their performance have been evaluated for different ECG morphologies on the basis of false positive and false negative. Results have been evaluated on the signals of MIT/BIH database.