QRS Complex Detection and Monitoring Heart Abnormalities in ECG

An Electrocardiogram (ECG) is a biological signal and non-invasive method to record the electrical activity of the heart by electrodes placed on surface of human body. Acquiring and analysis of Rwave, can be done traditionally using different software. To be in advance this work focuses not only on acquiring and analysis of ECG signal but also on identification of cardiac abnormalities. This would bridge the gap between medical physicians and engineers. Our project is carried out with the help of Lab VIEW software. This model works for identifying particular abnormality. The signal is then fed to PC through NI ELVIS DAQ. Here the waveform in analog form is are converted to digital form and is analyzed for detecting the R peak of the ECG signal acquired, based on which the identification of cardiac disorders is done by sending them to the loops containing the conditions for cardiac disorders. Based on the results obtained from the analysis of the ECG signal and comparison with the loop conditions, the cardiac disorders identified and displayed instantly. Firstly, denoising can be done by using WA Detrend and Undecimated Wavelet Transform (UWT), then features extracted from the denoised ECG signal by using ECG Features Extractor. One cardiac cycle in an ECG signal consists of the P-QRS-T waves. The amplitudes and intervals value of P-QRS-T segment determines the functioning of heart of every human. QRS detection, especially detection of R wave in heart signal, is easier than other portions of ECG signal due to its structural form and high amplitude. R wave is one of the most important sections of this complex, which has an essential role in diagnosis of heart rhythm irregularities and also in determining heart rate variability’.