TY - JFULL AU - Durgesh Kumar Ojha and Monica Subashini PY - 2014/3/ TI - Analysis of Electrocardiograph (ECG) Signal for the Detection of Abnormalities Using MATLAB T2 - International Journal of Biomedical and Biological Engineering SP - 119 EP - 123 VL - 8 SN - 1307-6892 UR - https://publications.waset.org/pdf/9997734 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 86, 2014 N2 - The proposed method is to study and analyze Electrocardiograph (ECG) waveform to detect abnormalities present with reference to P, Q, R and S peaks. The first phase includes the acquisition of real time ECG data. In the next phase, generation of signals followed by pre-processing. Thirdly, the procured ECG signal is subjected to feature extraction. The extracted features detect abnormal peaks present in the waveform Thus the normal and abnormal ECG signal could be differentiated based on the features extracted. The work is implemented in the most familiar multipurpose tool, MATLAB. This software efficiently uses algorithms and techniques for detection of any abnormalities present in the ECG signal. Proper utilization of MATLAB functions (both built-in and user defined) can lead us to work with ECG signals for processing and analysis in real time applications. The simulation would help in improving the accuracy and the hardware could be built conveniently. ER -