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1.
J Perinat Med ; 45(4): 403-411, 2017 May 24.
Article in English | MEDLINE | ID: mdl-27054592

ABSTRACT

OBJECTIVE: The objective of this study is to investigate the alterations caused by smoking on the features of fetal heart rate (FHR) tracings as well as to make a comparison between pregnant smokers and pregnant women with intrauterine growth restriction (IUGR). STUDY DESIGN: A number of established features derived from linear and nonlinear fields were employed to study the possible influence of maternal smoking on FHR tracings. Moreover, correlation and measures of complexity of the FHR were explored, in order to get closer to the core of information that the signal of FHR tracings conveys. Data included FHR tracings from 61 uncomplicated singleton pregnancies, 16 pregnant smoker cases, and 15 pregnancies of women with IUGR. RESULTS: The analysis of FHR indicated that some parameters, such as mutual information (P=0.0025), multiscale entropy (P=0.01), and algorithmic complexity (P=0.024) appeared decreased in the group of pregnant smokers, while kurtosis (P=0.0011) increased. The comparison between pregnant smokers and pregnant women with IUGR indicated a reduction in Hjorth complexity (P=0.039) for the former. CONCLUSION: Smoking during pregnancy seems to induce differences in several linear and nonlinear indices in recordings of FHR tracings. This may be the consequence of an altered neurodevelopmental maturation possibly resulting from chronic fetal hypoxemia in cigarette-exposed fetuses.


Subject(s)
Heart Rate, Fetal , Smoking/adverse effects , Adult , Case-Control Studies , Female , Fetal Growth Retardation/physiopathology , Humans , Pregnancy , Young Adult
2.
Article in English | MEDLINE | ID: mdl-18002355

ABSTRACT

In this paper, a new approach for feature extraction from the Fetal Heart Rate (FHR) signal is introduced. It considers the use of Continuous Wavelet Transform to extract wavelet-based features of FHR signal in order to discriminate the normal from the abnormal cases. The proposed methodology is tested on real data acquired before the beginning or during labor. The results proved the viability of the approach and its potential for further application.


Subject(s)
Cardiotocography/instrumentation , Diabetes, Gestational/diagnosis , Fetal Monitoring/instrumentation , Heart Rate, Fetal , Signal Processing, Computer-Assisted , Cardiotocography/methods , Data Interpretation, Statistical , Equipment Design , Female , Fetal Monitoring/methods , Heart Sounds , Humans , Models, Statistical , Phonocardiography/instrumentation , Phonocardiography/methods , Pregnancy , Reproducibility of Results , Time Factors
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