Title :
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
fDate :
30 Oct-2 Nov 1997
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-4262-3
DOI :
10.1109/IEMBS.1997.756619
