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A Research Work on Identification of Cardiac Disorders using LabVIEW?

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 5)

Publication Date:

Authors : ; ; ; ; ;

Page : 166-175

Keywords : Electrocardiogram; Laboratory Virtual Instrumentation Engineers Workbench; Data Acquisition; ELVIS;

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Acquiring and analysis of ECG signals 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 disorders. This would bridge the gap between medical physicians and engineers. Our project is carried out with the help of Lab VIEW software (version 8.2). This model work simulates the waveform using ECG simulator, analyzed and particular disease is identified. We have designed this project mainly to identify the diseases atrial flutter, AV block, and atrial & ventricular fibrillations. Initially, The ECG signals are simulated using ECG simulator. The signal is then fed to PC through NI ELVIS DAQ (PCI-6251). Here the waveform in analog form is converted to digital form and is analyzed for detecting the peak intervals 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 are identified and displayed instantly.

Last modified: 2014-05-13 03:09:32