the effect of pathologic cardiac events on the spectral content of ECG.
We designed a method of power spectral density (PSD) estimation of Electrocardiogram (ECG) signal in the normal and pathologic cases. MIT signal database was used as a source of signals. PQRST and QRS extraction methods are developed, the resulting complexes are then classified as normal or pathologic and are spectrally studied. For the spectral study, we used the maximal, mean, minimal frequencies as well as signal-energy in order to describe the spectra of normal and pathologic ECG events. Finally, we defined the quantitative and qualitative spectral modifications as a spectral biasing or signal's energy reduction.
Darwich
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Department of Biomedical engineering, University of Technology of Compiègne, France. mdarwich@utc.fr
Fokapu
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O
D001145:Arrhythmias, Cardiac / Q000503:physiopathology*; D004562:Electrocardiography / Q000379:methods*; D001330:Electronic Data Processing / Q000379:methods*; D006801:Humans