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Electrocardiogram Signal and Linear Time–Frequency Transforms
Abstract The diagnostic analysis of non-stationary multi component signals such as electrocardiogram (ECG) involves the use of time–frequency transforms. So, the application of time–frequency transforms to an ECG signal is an important problem of research. In this paper, initially, linear transforms like short time Fourier transform, continuous wavelet transforms, s-transform etc. are revisited. Then the application of these transforms to normal and abnormal ECG signals is illustrated. It has been observed that s-transform provides better time and frequency resolution compared to other linear transforms. The fractional Fourier transform provides rotation to the spectrogram representation.
Electrocardiogram Signal and Linear Time–Frequency Transforms
Abstract The diagnostic analysis of non-stationary multi component signals such as electrocardiogram (ECG) involves the use of time–frequency transforms. So, the application of time–frequency transforms to an ECG signal is an important problem of research. In this paper, initially, linear transforms like short time Fourier transform, continuous wavelet transforms, s-transform etc. are revisited. Then the application of these transforms to normal and abnormal ECG signals is illustrated. It has been observed that s-transform provides better time and frequency resolution compared to other linear transforms. The fractional Fourier transform provides rotation to the spectrogram representation.
Electrocardiogram Signal and Linear Time–Frequency Transforms
Krishna, B. T. (Autor:in)
Journal of The Institution of Engineers (India): Series B ; 95 ; 377-382
21.06.2014
6 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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