NDLI: Classification of pregnancy and labor contractions using a graph theory based analysis

Content Provider	IEEE Xplore Digital Library
Author	Nader, N. Hassan, M. Falou, W. Diab, A. Al-Omar, S. Khalil, M. Marque, C.
Copyright Year	2015
Description	Author affiliation: Azm Center in Biotechnol., Lebanese Univ., Tripoli, Lebanon (Nader, N.; Falou, W.; Diab, A.; Khalil, M.) \|\| BMBI, Univ. of Technol. of Compiegne, Compiegne, France (Marque, C.) \|\| LTSI, Univ. de Rennes 1, Rennes, France (Hassan, M.; Al-Omar, S.)
Abstract	In this paper, we propose a new framework to characterize the electrohysterographic (EHG) signals recorded during pregnancy and labor. The approach is based on the analysis of the propagation of the uterine electrical activity. The processing pipeline includes i) the estimation of the statistical dependencies between the different recorded EHG signals, ii) the characterization of the obtained connectivity matrices using network measures and iii) the use of these measures in clinical application: the classification between pregnancy and labor. Due to its robustness to volume conductor, we used the imaginary part of coherence in order to produce the connectivity matrix which is then transformed into a graph. We evaluate the performance of several graph measures. We also compare the results with the parameter mostly used in the literature: the peak frequency combined with the propagation velocity (PV +PF). Our results show that the use of the network measures is a promising tool to classify labor and pregnancy contractions with a small superiority of the graph strength over PV+PF.
Starting Page	2876
Ending Page	2879
File Size	861524
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7318992
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pregnancy Correlation Electrodes Coherence Sensitivity Graph theory Conductors
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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