DocumentCode :
2326447
Title :
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
Link To Document :
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