Time-frequency analysis of electric cardiograms

BA Oganisyan, TN Oganesyan… - Journal of Contemporary …, 2020 - Springer
BA Oganisyan, TN Oganesyan, AO Makaryan
Journal of Contemporary Physics (Armenian Academy of Sciences), 2020Springer
In the present work, statistical processing of the electric cardiogram (spectral and bispectral
analysis) using the 'sliding window'method is proposed and performed. A system for
recording and digitizing an electric cardiograms was developed, the output signal of which is
fed to a computer. Signal processing is carried out using a system implemented in the
LabVIEW environment. It is shown that the time-frequency analysis using the 'sliding
window'method allows detecting dynamic processes in the work of the human heart, which …
Abstract
In the present work, statistical processing of the electric cardiogram (spectral and bispectral analysis) using the ‘sliding window’ method is proposed and performed. A system for recording and digitizing an electric cardiograms was developed, the output signal of which is fed to a computer. Signal processing is carried out using a system implemented in the LabVIEW environment. It is shown that the time-frequency analysis using the ‘sliding window’ method allows detecting dynamic processes in the work of the human heart, which can go unnoticed in standard analyzes. Research results can be useful for the diagnosis of heart disease.
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