American Journal of Engineering Research (AJER) 2016 American Journal of Engineering Research (AJER) e-ISSN: 2320-0847 p-ISSN : 2320-0936 Volume-5, Issue-5, pp-155-161 www.ajer.org Research Paper Open Access www.ajer.org Page 156 Abnormality Detection in ECG Signal Using Wavelets and Fourier Transform *Sayali Kambire, **Shital Naktode,*** Namita Choudhari, ****Prof. Sujit Deokar, Dept. of Instrumentation and Control Engineering,Vishwakarma Institute of Technology, Pune, India. ABSTRACT: Electrocardiogram (ECG) is used to record the electrical activity in the heart. It is the most important physiological parameter that gives the correct assessment regarding the functioning of the heart. The paper proposes a method based on signal processing correlation technique to find out whether the ECG is normal or abnormal. Many of the abnormal ECGs are called Arrhythmias. Aim of this study to analyze the ECG signal using MATLAB and to find whether the signal is normal or abnormal. According to different arrhythmia it helps to analyze the electrocardiogram (ECG) signal, extract the features, for the classification of heart beats. ECG feature extraction system has been developed and evaluated based on the multi-resolution wavelet transform. I. INTRODUCTION The electrical activity associated with the functioning of the heart is known as Electrocardiogram (ECG). ECG is a quasi-periodical, rhythmically repeating signal synchronized by the function of the heart, which acts as a generator of bioelectric events. ECG is composite from 5 waves - P, Q, R, S and T. An ECG machine interprets and records the electrical impulses of the heart. An electrocardiogram (ECG) is used to record the electrical activity of the heart. The heart generates electric impulses throughout the body and on its surface. These impulses can be detected by the ECG machine. The ECG is recorded with the help of several electrodes which are attached to the body of the patient and are connected by leads to the device. The device itself consists of a graphing device. The rhythmic beating of the heart is due to the triggering pulses that originate in the area of specialized tissue in the right atrium of the heart. This area is known as sino-atrial node. This forms a very regular pattern which establishes a control for patients that do have heart problems. The purpose of this study is to develop a method to distinguish healthy and abnormal subjects using the correlation coefficients of ECG waveforms. There are three steps involved namely Discrete Wavelet Transform, Fast Fourier Transform, comparison of correlation coefficients. II. NORMAL ECG WAVEFORM