Complexity analysis of the fetal heart rate variability: early identification of severe intrauterine growth-restricted fetuses |
| |
Authors: | Manuela Ferrario Maria G Signorini and Giovanni Magenes |
| |
Institution: | (1) Department of Bioengineering, Politecnico di Milano, P.zza Leonardo da Vinci 32, 20133 Milan, Italy;(2) Department of Computer Engineering and Systems Science, University of Pavia, Via Ferrata 1, 27100 Pavia, Italy |
| |
Abstract: | The main goal of this work is to suggest new indices for a correct identification of the intrauterine growth-restricted (IUGR)
fetuses on the basis of fetal heart rate (FHR) variability analysis performed in the antepartum period. To this purpose, we
analyzed 59 FHR time series recorded in early periods of gestation through a Hewlett Packard 1351A cardiotocograph. Advanced
analysis techniques were adopted including the computation of the Lempel Ziv complexity (LZC) index and the multiscale entropy
(MSE), that is, the entropy estimation with a multiscale approach. A multiparametric classifier based on k-mean cluster analysis was also performed to separate pathological and normal fetuses. The results show that the proposed
LZC and the MSE could be useful to identify the actual IUGRs and to separate them from the physiological fetuses, providing
good values of sensitivity and accuracy (Se = 77.8%, Ac = 82.4%). |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|