Title :
Frequency analysis of the highly amplified ST-segment by means of maximum entropy spectral estimation
Author :
Voss, A. ; Kurths, J. ; Fiehring, H.
Author_Institution :
MDC, Herz-Krieslauf-Klinik, Berlin, Germany
Abstract :
On the basis of maximum entropy spectral estimation (MES) applied to highly amplified surface electrocardiograms, the authors observed that the variability as well as the area below the power spectrum above 80 Hz are suitable parameters to classify and differentiate 2- and 3-D spectra. The aim of this study was to compare the performance of time domain analysis with frequency analysis using standard fast Fourier transform based spectral estimators. The detection rate of MES was distinctly higher in comparison to the periodogram. MES with noise suppression and in combination with automatic parameter extraction in the time domain led to an overall detection rate of 90% for a group of high-risk patients
Keywords :
electrocardiography; medical signal processing; spectral analysis; 2D spectra; 3D spectra; automatic parameter extraction; fast Fourier transform; frequency analysis; high-risk patients; highly amplified ST-segment; highly amplified surface electrocardiograms; maximum entropy spectral estimation; noise suppression; periodogram; time domain analysis; Electrocardiography; Entropy; Frequency domain analysis; Frequency estimation; Low pass filters; Myocardium; Noise generators; Parameter extraction; Risk analysis; Time domain analysis;
Conference_Titel :
Computers in Cardiology 1992, Proceedings of
Conference_Location :
Durham, NC
Print_ISBN :
0-8186-3552-5
DOI :
10.1109/CIC.1992.269446
