Estimation of cardiac and respiratory rhythms based on an AMFM demodulation and an adaptive eigenvector decomposition - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2005

Estimation of cardiac and respiratory rhythms based on an AMFM demodulation and an adaptive eigenvector decomposition

Abstract

In a goal of sleep researches, we need to estimate cardiac and respiratory rhythms on 20-second epochs of a signal giving the variations in radial arterial pressure. This signal is amplitude and frequency modulated by cardiac and respiratory contributions. The technique we developped combines an amplitude and frequency (AMFM) demodulation using Teager energy operator and an adaptive eigenvector decomposition. The interest of the method lies in its independence from artefacts obtained for reasonable calculation and memory costs. Results indicate a close correspondence between estimations and reference values both for cardiac and respiratory estimations (mean error of 4% for both and standard deviation of 7% for cardiac and 14% for respiration rhythm).
Fichier principal
Vignette du fichier
BRUNO_SCALART.pdf (519.26 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inria-00482656 , version 1 (11-05-2010)

Identifiers

  • HAL Id : inria-00482656 , version 1

Cite

Stéphane Bruno, Pascal Scalart. Estimation of cardiac and respiratory rhythms based on an AMFM demodulation and an adaptive eigenvector decomposition. XIII European Signal Processing Conference (EUSIPCO'05), Sep 2005, Antalia, Turkey. ⟨inria-00482656⟩
67 View
80 Download

Share

Gmail Facebook X LinkedIn More