Multiparametric Investigation of Dynamics in Fetal Heart Rate Signals

In the field of electronic fetal health monitoring, computerized analysis of fetal heart rate (FHR) signals has emerged as a valid decision-support tool in the assessment of fetal wellbeing. Despite the availability of several approaches to analyze the variability of FHR signals (namely the FHRV), there are still shadows hindering a comprehensive understanding of how linear and nonlinear dynamics are involved in the control of the fetal heart rhythm. In this study, we propose a straightforward processing and modeling route for a deeper understanding of the relationships between the characteristics of the FHR signal. A multiparametric modeling and investigation of the factors influencing the FHR accelerations, chosen as major indicator of fetal wellbeing, is carried out by means of linear and nonlinear techniques, blockwise dimension reduction, and artificial neural networks. The obtained results show that linear features are more influential compared to nonlinear ones in the modeling of HRV in healthy fetuses. In addition, the results suggest that the investigation of nonlinear dynamics and the use of predictive tools in the field of FHRV should be undertaken carefully and limited to defined pregnancy periods and FHR mean values to provide interpretable and reliable information to clinicians and researchers.

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Effects of Classical Music, Natural and Murottal Music on Fetal Well-Being

Health Notions ◽

10.33846/hn40704 ◽

2020 ◽

Vol 4 (7) ◽

pp. 222-225

Author(s):

Rahayu ` Sumaningsih ◽

Teta Puji Rahayu ◽

Budi Joko Santosa

Keyword(s):

Heart Rate ◽

Fetal Heart Rate ◽

Classical Music ◽

Fetal Heart ◽

Well Being ◽

Mean Values ◽

Sense Of Security ◽

Before And After ◽

Independent Variable ◽

Fetal Wellbeing

Music affects to human psychology, provides a sense of security, comfort and fun. Classical, natural and murottal music has a tone, rhythm, speed, gentle meter capable of stimulating alpha waves, calmness, and relaxation, beneficial to the well-being of the fetus. The purpose of this study is to describe classical, natural and murotal music on fetal well-being. This Quasi-Experiment Research with pretest-posttest design. A sample of 40 individuals was divided into 4 groups of mothers. The independent variable is classical music, natural, murotal and without music. The dependent variable is fetal well-being. The mean values before and after the intervention naturally were calculated. The results of fetal well-being based on the fetal heart rate of the classical music group before treatment there were 10% of fetuses experiencing mild aspysia after treatment of the fetus experiencing 0% aspysia. Natural and Murottal Music Group before and after treatment 100% normal fetal heart rate, group without music, before and after treatment 50% of fetuses experience Mild Aspysia. Fetal wellbeing results are based on Apgar Score, the Classical Music group after listening to classical music 10% experienced mild Aspysia. Natural Music Group and Murottal after listening to natural music and murottal 100% of babies under normal circumstances. The group without music after birth 50% of babies experience mild Aspysia. Conclusion, classical music overcomes mild asphyxia based on fetal heart rate, natural and murrotal music effectively maintains fetal well-being until birth. Keywords: classical music; natural music; murottal; fetal well-being

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A Novel Method for Nonlinear Dynamics Analysis of Fetal Heart Rate in Fetal Distress Using Visibility Graph

Proceedings of the Fourth International Conference on Biological Information and Biomedical Engineering ◽

10.1145/3403782.3403810 ◽

2020 ◽

Author(s):

Chuan Wang ◽

Mujun Liu ◽

Xiaolin Wang ◽

Yaosheng Lu

Keyword(s):

Nonlinear Dynamics ◽

Heart Rate ◽

Fetal Heart Rate ◽

Fetal Heart ◽

Fetal Distress ◽

Visibility Graph ◽

Dynamics Analysis ◽

Novel Method

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Validation of a new algorithm for the short-term variation of the fetal heart rate: an antepartum prospective study

Journal of Perinatal Medicine ◽

10.1515/jpm-2017-0035 ◽

2018 ◽

Vol 46 (6) ◽

pp. 599-604 ◽

Cited By ~ 5

Author(s):

Christina Kouskouti ◽

Hella Jonas ◽

Kerstin Regner ◽

Pia Ruisinger ◽

Julia Knabl ◽

...

Keyword(s):

Heart Rate ◽

Reference Values ◽

Fetal Heart Rate ◽

Fetal Heart ◽

Normal Values ◽

Short Term ◽

Mean Values ◽

Relevant Reference ◽

Term Variation ◽

The Mean

Abstract Aims: Currently one of the most widespread systems for the computerized analysis of the fetal heart rate (FHR) is the Dawes-Redman system, where the short-term variation (STV) of the FHR is measured by dividing each minute into 16 segments (STV16). Technical progress has allowed for the development of a new algorithm, which measures the STV by dividing each minute into 240 segments (STV240), thus approximating the beat-to-beat variation. The STV240 still lacks reference values. Our aim was to develop clinically relevant reference values for the STV240 and compare them to the ones for the STV16. Methods: In a single centre, observational study, a total of 228 cardiotocograms were registered and subsequently analyzed with both algorithms (STV240 and STV16). Results: The 95% confidence interval (CI) was calculated for both algorithms. The values of the STV240 were significantly lower in comparison to the ones of the STV16. Not only the mean values but also the 95th percentile of the STV240 lay beneath the existent cut-off value for the STV16. Conclusions: Every clinician using the new algorithm must be aware that the normal values for the STV240 lie beneath the, up until now, established cut-off values for the STV16.

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W087 COMPARISON OF FETAL HEART RATE PATTERNS USING NONLINEAR DYNAMICS IN BREECH VERSUS CEPHALIC PRESENTATION AT TERM

International Journal of Gynecology & Obstetrics ◽

10.1016/s0020-7292(12)61812-8 ◽

2012 ◽

Vol 119 ◽

pp. S733-S733

Author(s):

J.K. Hoh ◽

M.I. Park ◽

Y.S. Park

Keyword(s):

Nonlinear Dynamics ◽

Heart Rate ◽

Fetal Heart Rate ◽

Fetal Heart

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The effect of cigarette smoking on fetal heart rate tracing during pregnancy

Journal of Perinatal Medicine ◽

10.1515/jpm-2015-0275 ◽

2017 ◽

Vol 45 (4) ◽

Cited By ~ 4

Author(s):

Kyriaki Spyridou ◽

Ioanna Chouvarda ◽

Leontios Hadjileontiadis ◽

Nikolaos Maglaveras

Keyword(s):

Heart Rate ◽

Pregnant Women ◽

Fetal Heart Rate ◽

Fetal Heart ◽

Multiscale Entropy ◽

Smoking During Pregnancy ◽

Pregnant Smokers ◽

Linear And Nonlinear ◽

Pregnant Smoker ◽

Singleton Pregnancies

AbstractObjective: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.

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Evolution of linear and nonlinear fetal heart rate indices throughout pregnancy in appropriate, small for gestational age and preterm fetuses: A cohort study

Computer Methods and Programs in Biomedicine ◽

10.1016/j.cmpb.2017.10.015 ◽

2018 ◽

Vol 153 ◽

pp. 191-199 ◽

Cited By ~ 6

Author(s):

Hernâni Gonçalves ◽

Célia Amorim-Costa ◽

Diogo Ayres-de-Campos ◽

João Bernardes

Keyword(s):

Heart Rate ◽

Cohort Study ◽

Gestational Age ◽

Small For Gestational Age ◽

Fetal Heart Rate ◽

Fetal Heart ◽

Linear And Nonlinear

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Linear and nonlinear features of fetal heart rate on the assessment of fetal development in the course of pregnancy and the impact of fetal gender

Physiological Measurement ◽

10.1088/1361-6579/aa9e3c ◽

2018 ◽

Vol 39 (1) ◽

pp. 015007 ◽

Cited By ~ 1

Author(s):

K Spyridou ◽

I Chouvarda ◽

L Hadjileontiadis ◽

N Maglaveras

Keyword(s):

Heart Rate ◽

Fetal Development ◽

Fetal Heart Rate ◽

Fetal Heart ◽

Fetal Gender ◽

Nonlinear Features ◽

Linear And Nonlinear ◽

The Impact

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FETAL HEART RATE VARIABILITY ANALYSIS FROM PHONOCARDIOGRAPHIC RECORDINGS

Journal of Mechanics in Medicine and Biology ◽

10.1142/s0219519411004174 ◽

2011 ◽

Vol 11 (05) ◽

pp. 1315-1331 ◽

Cited By ~ 5

Author(s):

VIJAY S. CHOURASIA ◽

ANIL KUMAR TIWARI

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Health Status ◽

Fetal Heart Rate ◽

Heart Sound ◽

Fetal Heart ◽

Heart Rate Variability Analysis ◽

Nonlinear Features ◽

Fetal Heart Rate Variability ◽

Fetal Wellbeing

This paper presents an algorithm for classification of fetal health status using fetal heart rate variability (fHRV) analysis through phonocardiography. First, the fetal heart sound signals are acquired from the maternal abdominal surface using a specially developed Bluetooth-based wireless data recording system. Then, fetal heart rate (FHR) traces are derived from these signals. Ten numbers of linear and nonlinear features are extracted from each FHR trace. Finally, the multilayer perceptron (MLP) neural network is used to classify the health status of the fetus. Results show very promising performance toward the prediction of fetal wellbeing on the set of collected fetal heart sound signals. Finally, this work is likely to lead to an automatic screening device with additional potential of predicting fetal wellbeing.

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