<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/9997734" mdate="2014-02-06 00:00:00"> <author>Durgesh Kumar Ojha and Monica Subashini</author> <title>Analysis of Electrocardiograph (ECG) Signal for the Detection of Abnormalities Using MATLAB</title> <pages>120 - 123</pages> <year>2014</year> <volume>8</volume> <number>2</number> <journal>International Journal of Biomedical and Biological Engineering</journal> <ee>https://publications.waset.org/pdf/9997734</ee> <url>https://publications.waset.org/vol/86</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>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 preprocessing. 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 builtin 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. </abstract> <index>Open Science Index 86, 2014</index> </article>