The analysis of ECG signals using time-frequency techniques

Author

Tagluk, M.E. ; English, M.J.

Author_Institution

Sch. of Eng., Sussex Univ., Brighton, UK

Volume

3

fYear

1997

fDate

30 Oct-2 Nov 1997

Firstpage

1320

Abstract

To overcome the limitations which occur in the Wigner-Ville Distribution (WVD), a filtering technique based on processing of the image of the Ambiguity function (AF) is proposed. This work includes a comparative study of time-frequency kernel based techniques for the analysis of ECG signals. The ECG is first converted to the analytic form to eliminate aliasing and the cross terms generated by the negative spectra. It has been shown that time-frequency analysis of the ECG is essential to capture temporal variations

Keywords

electrocardiography; medical signal processing; time-frequency analysis; Ambiguity function image; ECG signals analysis; Wigner-Ville Distribution limitations; aliasing elimination; cross terms filtering; electrodiagnostics; kernel methods; negative spectra; temporal variations; time-frequency kernel based techniques; Biomedical engineering; Electrocardiography; Filtering; Fourier transforms; Heart; Image converters; Information analysis; Kernel; Signal analysis; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-4262-3

Type

conf

DOI

10.1109/IEMBS.1997.756619

Filename

756619