A Gaussian mixture model for time-frequency analysis during atrial fibrillation electrocardiograms

V. D. A. Corino, L. T. Mainardi, Andreas Bollmann, D. Husser, Martin Stridh, Leif Sörnmo

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

During atrial fibrillation (AF), time-frequency analysis of atrial signal has been applied to describe fibrillatory frequency trends. Recently, temporal changes in spectral shape have been investigated using the spectral profile technique. This profile is computed recursively by fitting each short-time log-spectrum to a spectral template, using amplitude scaling and frequency shifting. The purpose of the present study was to develop a Gaussian mixture model of the spectral profile in order to characterize the shape of AF waveforms. A novel index is introduced, the so-called harmonic index (HI), which reflects properties of the fundamental frequency peak and related harmonics peaks as estimated from the model. The index was tested on recordings from 9 patients with persistent AF, obtained before and after exercise testing. The HI succeeded in monitoring the response to exercise, i.e. change in the spectral profile to a less harmonic pattern, which is consistent with a reduction in AF organization (HI: 0.61±0.11 vs. 0.50±0.19, rest vs. exercise; p≪0.05).
Original languageEnglish
Title of host publication29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2007.
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages271-274
ISBN (Print)978-1-4244-0788-0
DOIs
Publication statusPublished - 2007
Event29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2007. - Lyon
Duration: 2007 Aug 222007 Aug 26

Publication series

Name
ISSN (Print)1557-170X

Conference

Conference29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2007.
Period2007/08/222007/08/26

Subject classification (UKÄ)

  • Electrical Engineering, Electronic Engineering, Information Engineering

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