By Topic

Multifractal analysis of ECG for intrapartum diagnosis of fetal asphyxia

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Abry, P. ; CNRS, Univ. de Lyon, Lyon, France ; Helgason, H. ; Goncalves, P. ; Pereira, E.
more authors

Intrapartum fetal surveillance aims at preventing neonatal morbidity and mortality due to asphyxia. Continuous fetal heart rate monitoring helps in reducing asphyxia yet generates many unnecessary c-sections. In fetal heart rate time series analysis, variability is a key parameter as its decrease is used to identify asphyxia. Multifractal analysis can be envisaged as a new statistical tool enabling to revisit variability analysis. Applied to data collected at an academic hospital, the wavelet Leader based multifractal analysis is shown here to i) permit a rich and relevant characterization of their variability, ii) to achieve a significant discrimination between healthy and non-healthy fetus, iii) to enable this valid discrimination to hold much earlier than during the last 15 min preceding delivery. This hence opens promising tracks to decrease the number of unnecessary c-sections.

Published in:

Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on

Date of Conference:

14-19 March 2010