DocumentCode :
2377193
Title :
Multiparameter analysis of heart rate variability signal for the investigation of high risk fetuses
Author :
Ferrario, Manuela ; Magenes, Giovanni ; Campanile, Marta ; Carbone, Imma F. ; Di Lieto, Andrea ; Signorini, Maria G.
Author_Institution :
Dept. of Bioeng., Politec. di Milano, Milano, Italy
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
4662
Lastpage :
4665
Abstract :
The purpose of this study is to evaluate the information content provided by the fluximetry information and the analysis of fetal heart rate (FHR) signals, obtained from cardiotocographic recordings, during prenatal monitoring, in a high risk population. The parameters assessed on FHR signals are divided in: (i) time domain parameters (ii) frequency domain parameters, and (iii) the complexity parameters: Approximate Entropy (ApEn), Sample Entropy (SampEn), Multiscale Entropy (MSE), the Lempel Ziv Complexity (LZC) and the Detrended Fluctuation Analysis (DFA). The fetuses were classified as fetal growth restricted (FGR). The results have shown that the FGR fetuses preterm delivered have produced a markedly reduced heart rate variability in respect with those fetuses which were characterized by an alteration in the fluximetric indices. The normal range in cord blood sampling analysis excludes the prolonged hypoxia as a causing factor. Finally, it seems that the residual cardiovascular response in FGR fetuses could be correlated to an alteration in the flow of the main vessels.
Keywords :
cardiovascular system; medical signal processing; obstetrics; pneumodynamics; time-domain analysis; cardiotocographic recordings; complexity parameters; fetal heart rate variability signal; fluximetry information; frequency domain parameters; high risk fetuses; high risk population; high-risk fetuses; multiparameter analysis; prenatal monitoring; time domain parameters; Algorithms; Cardiotocography; Entropy; Female; Fetal Blood; Fetal Growth Retardation; Heart Rate, Fetal; Humans; Least-Squares Analysis; Pregnancy; Risk Assessment; Signal Processing, Computer-Assisted;
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.2009.5332647
Filename :
5332647
Link To Document :
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