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Wavelets as alternative to short-time Fourier transform in signal-averaged electrocardiography

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Abstract

The paper reports experience of using the wavelet transform to build time-frequency distributions of the terminal portion of the QRS-complex. We used wavelets of Morlet at 12 scales, grouped in three sets, to analyse the frequency range 33–404 Hz. On the same patient data we applied the short-time Fourier transform and compared the results. Both representations reflected the time-frequency contents and detected irregular structures in the terminal portion of the QRS complex. The wavelet transform revealed more adequately QRS prolongations characteristic of patients prone to ventricular tachycardia. We may conclude that the wavelet transform can be a flexible alternative to short-time Fourier transform.

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Authors and Affiliations

  1. Institute of Biomedical Engineering, Medical Academy, 1 G. Sofiysky'str., 1431, Sofia, Bulgaria

    B. Gramatikov

  2. Institute of Informatics, Bulgarian Academy of Sciences, Akad. G. Bontchev str., B1.2, 1113, Sofia, Bulgaria

    I. Georgiev

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  1. B. Gramatikov
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  2. I. Georgiev
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Gramatikov, B., Georgiev, I. Wavelets as alternative to short-time Fourier transform in signal-averaged electrocardiography. Med. Biol. Eng. Comput. 33, 482–487 (1995). https://doi.org/10.1007/BF02510534

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