Time-frequency methods for high-resolution ECG analysis

Author

Maniewski, Roman ; Lewandowski, P. ; Nowinska, M. ; Mroczka, T.

Author_Institution

Inst. of Biocybern. & Biomed. Eng., Acad. of Sci., Warsaw, Poland

Volume

3

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1266

Abstract

Spectro-temporal methods of high resolution ECG analysis based on fast Fourier transform, autoregressive estimation and wavelet transform are discussed. The sensitivities of these methods were evaluated by analysis of 80 patients after myocardial infarction-40 with sustained ventricular tachycardia and 40 without arrhythmia. To compare the results of all three methods quantitative parameters were calculated. The averaged values of these parameters were significantly different for patients with ventricular tachycardia compared to patients without arrhythmia. The sensitivity obtained in the authors´ study by wavelet transform (61%) was lower than for Fourier transform (81%) and autoregressive (73%) methods

Keywords

electrocardiography; fast Fourier transforms; medical signal processing; time-frequency analysis; wavelet transforms; arrhythmia; autoregressive estimation; electrodiagnostics; high-resolution ECG analysis; myocardial infarction patients; sustained ventricular tachycardia; time-frequency methods; Biomedical engineering; Cybernetics; Electrocardiography; Fast Fourier transforms; Fourier transforms; Myocardium; Noise measurement; Time frequency analysis; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.652804

Filename

652804