DocumentCode :
2395254
Title :
Electrohysterographic conduction velocity estimation
Author :
Mischi, M. ; Rabotti, C. ; Vosters, L. P J ; Oei, S.G. ; Bergmans, J.W.M.
Author_Institution :
Fac. of Electr. Eng., Eindhoven Univ. of Technol., Eindhoven, Netherlands
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
6934
Lastpage :
6937
Abstract :
Monitoring and analysis of the fetal-heart and the uterine-muscle activity, referred to as electrohysterogram (EHG), is essential to permit timely treatment during pregnancy. While remarkable progress is reported for monitoring of the fetal cardiac activity, the EHG measurement and interpretation remains challenging, and limited knowledge is available on the underlying physiological processes. In particular, little attention has been paid to the analysis of the EHG propagation, whose characteristics might indicate the presence of coordinated uterine contractions leading to intrauterine pressure increase. Therefore, this study focuses for the first time on the noninvasive estimation of the conduction velocity of EHG action potentials by means of multichannel EHG recording and surface high-density electrodes. A maximum likelihood algorithm, initially proposed for skeletal-muscle electromyography, is modified for the required EHG analysis. The use of clustering and weighting is introduced to deal with poor signal similarity between different channels. The presented methods were evaluated by specific simulations, proving the combination of weighting and clustering to be the most accurate method. A preliminary EHG measurement during labor confirmed the feasibility of the method. An extensive clinical validation will however be necessary to optimize the method and assess the relevance of the EHG conduction velocity for pregnancy monitoring.
Keywords :
bioelectric potentials; biomedical electrodes; biomedical measurement; cardiology; maximum likelihood estimation; muscle; obstetrics; patient monitoring; patient treatment; action potentials; coordinated uterine contractions; electrohysterogram; electrohysterographic conduction velocity estimation; electrohysterographic propagation; fetal-heart analysis; intrauterine pressure; maximum likelihood algorithm; multichannel EHG recording; noninvasive estimation; patient treatment; pregnancy monitoring; skeletal-muscle electromyography; surface high-density electrodes; uterine-muscle activity; Algorithms; Biomedical Engineering; Electromyography; Female; Humans; Labor, Obstetric; Likelihood Functions; Pregnancy; Signal Processing, Computer-Assisted; Uterine Contraction; Uterine Monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5333636
Filename :
5333636
Link To Document :
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