Identification of Tachycardia from Ecg Signals Using Wavelet Transform and Feed Forward Neural Network

Abstract

Heart disorders are very common among in recent days among all age group of people. Certain disorders are curable and some needs prolonged treatment. ECG is the primary tool used by the clinicians to analyze the heart disorders. The waveform of the ECG signal is used to identify the heart disorders. This signal analysis needs a human expertise in evaluating the heart disorders. In this scenario, a computer aided tool can aid the clinicians in better analysis and this will further lead to better treatment. This paper discusses one such tool developed to diagnose Bradycardia and Tachycardia from the ECG signals. The evaluation done with this tool on ECG signals has produced an accuracy of 88.8 % with minimal error rate of 11.8 %