Electrocardiogram Signal and Linear Time–Frequency Transforms

被引：9

作者：

Krishna B.T. ^{[1
]}

机构：

[1] Department of Electronics and Communication Engineering, Jawaharlal Nehru Technological University Kakinada, Kakinada, 533003, Andhra Pradesh

来源：

Journal of The Institution of Engineers (India): Series B | 2014年 / 95卷 / 04期

关键词：

Electrocardiogram; Fractional order; More; Short time Fourier transform; Time–frequency representation; Wavelet transform;

D O I：

10.1007/s40031-014-0097-9

中图分类号：

学科分类号：

摘要：

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. © 2014, The Institution of Engineers (India).

引用

页码：377 / 382

页数：5

共 10 条

[1]

Boashash B., Time frequency signal analysis and processing, (2003)

[2]

Poularikas A.D., The transforms and applications handbook, (2000)

[3]

Bracewell R.N., The Fourier transforms and its applications, (1986)

[4]

Cromwell L., Weibell F.J., Pfeiffer E.A., Biomedical instrumentation and measurements, (2005)

[5]

Almeida L.B., The fractional order Fourier transform and time-frequency representations, IEEE Trans. Signal Process., 42, 11, pp. 3084-3091, (1994)

[6]

Al-Maine M.A., Deconvolution methods for biomedical signal analysis, Indian J. Sci. Technol., 3, 2, pp. 105-109, (2010)

[7]

Cohen L., Time-frequency distributions—a review, Proc. IEEE, 77, 7, pp. 941-971, (1989)

[8]

Daubechies I., The wavelet transform, time-frequency localization and signal analysis, IEEE Trans. Inf. Theory, 36, 5, pp. 961-1005, (1990)

[9]

Stockwell R.G., Mansinha L., Lowe R.P., Localization of the complex spectrum: the s-transform, IEEE Trans. Signal Process., 44, 4, pp. 998-1001, (1996)

[10]

Elouaham S., Latif R., Dliou A., Laaboubi M., Maoulainie F.M.R., Parametric and nonparametric time-frequency analysis of biomedical signals, Int. J. Adv. Comput. Sci. Appl, 4, 1, pp. 74-79, (2013)

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