scholarly journals FETAL TYPE CLASSIFICATION BASED ON FETAL ELECTROCARDIOGRAPH IN NON-STRESS TESTS

2021 ◽  
pp. 2140052
Author(s):  
JIANLI LIU ◽  
YIMIN YANG ◽  
SONG ZHANG ◽  
XUWEN LI ◽  
LIN YANG ◽  
...  
Keyword(s):  
Heart Rate ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
Classification Model ◽  
Support Vector ◽  
Stress Tests ◽  
Nonlinear Parameters ◽  
Design Algorithm ◽  
Long Time

Electronic fetal heart rate (FHR) monitoring is a technical means to evaluate the state of the fetus in the uterus by monitoring FHR. The main purpose is to detect intrauterine hypoxia and take corresponding medical measures timely. Because the fetus sleeps quietly for up to 1 hour sometimes, ultrasound Doppler is not easy to continuously detect for a long time. The electronic fetal monitor obtains the fetal heart rate, which not only improves the accuracy and comfort, but also the convenient implementation of long-term monitoring. It is beneficial to reduce perinatal fetal morbidity and mortality. This study used maternal–fetal Holter monitor which is based on the technology of fetal electrocardiograph (FECG) to collect the FHR, and then design algorithm to extract the baseline FHR, acceleration, variation, sleep-wake cycle and nonlinear parameters. There were significant differences in the 22 parameters between the normal and the suspicious group. Using the 22 characteristic parameters, the support vector machine was used to classify the normal and the suspected group of fetuses. 80% of the data was used to train a classification model. The remaining 20% of the data was used as a test set and its accuracy reached 93.75%.

Computerised evaluation of fetal heart rate in post-term fetuses: long term variation

1998 ◽  
Vol 105 (3) ◽  
pp. 356-359 ◽  
Author(s):  
Giampaolo Mandruzzato ◽  
Yoram J. Meir ◽  
Giuseppina D'Ottavio ◽  
Giancarlo Conoscenti ◽  
Geoffrey S. Dawes
Keyword(s):  
Heart Rate ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
Term Variation

scholarly journals A Comprehensive Feature Analysis of the Fetal Heart Rate Signal for the Intelligent Assessment of Fetal State

2018 ◽  
Vol 7 (8) ◽  
pp. 223 ◽  
Author(s):  
Zhidong Zhao ◽  
Yang Zhang ◽  
Yanjun Deng
Keyword(s):  
Heart Rate ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
Principal Component ◽  
Machine Learning Algorithms ◽  
Medical Decision ◽  
Support Vector ◽  
Visual Interpretation ◽  
Adaptive Boosting ◽  
Original Dataset

Continuous monitoring of the fetal heart rate (FHR) signal has been widely used to allow obstetricians to obtain detailed physiological information about newborns. However, visual interpretation of FHR traces causes inter-observer and intra-observer variability. Therefore, this study proposed a novel computerized analysis software of the FHR signal (CAS-FHR), aimed at providing medical decision support. First, to the best of our knowledge, the software extracted the most comprehensive features (47) from different domains, including morphological, time, and frequency and nonlinear domains. Then, for the intelligent assessment of fetal state, three representative machine learning algorithms (decision tree (DT), support vector machine (SVM), and adaptive boosting (AdaBoost)) were chosen to execute the classification stage. To improve the performance, feature selection/dimensionality reduction methods (statistical test (ST), area under the curve (AUC), and principal component analysis (PCA)) were designed to determine informative features. Finally, the experimental results showed that AdaBoost had stronger classification ability, and the performance of the selected feature set using ST was better than that of the original dataset with accuracies of 92% and 89%, sensitivities of 92% and 89%, specificities of 90% and 88%, and F-measures of 95% and 92%, respectively. In summary, the results proved the effectiveness of our proposed approach involving the comprehensive analysis of the FHR signal for the intelligent prediction of fetal asphyxia accurately in clinical practice.

Autonomic rhythms in the human fetus studied by short and long term correlations in fetal heart rate patterns

2012 ◽  
Vol 57 (SI-1 Track-F) ◽  
Author(s):  
U Schneider ◽  
U Wallwitz ◽  
A Rudolph ◽  
F Tetschke ◽  
S Bauer ◽  
...  
Keyword(s):  
Heart Rate ◽  
Human Fetus ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
Short And Long Term

scholarly journals Effect of Dexamethasone on Antepartum Cardiotocography

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Ahmed AA ◽  
◽  
Sayed Ahmed WA ◽  
Taha OT ◽  
◽  
...  
Keyword(s):  
Heart Rate ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
Standard Dose ◽  
Placenta Previa ◽  
University Hospitals ◽  
Term Variation ◽  
Fetal Movements ◽  
History Of

Objective: The purpose of this study was to evaluate the effect of dexamethasone on fetal heart rate parameters using the standard dose regimen. Study Design: A prospective cohort study conducted in the Maternity Department, Suez Canal University hospitals. Sixty- eight pregnant women with gestational age between 28 and 34 weeks were recruited. Patients received 4 doses of dexamethasone 6 mg every 12 hours for threatened preterm delivery due to preterm premature rupture of membranes, placenta previa or history of preterm labor. Computerized cardiotocography was recorded for 60 minutes on day 0 (before dexamethasone administration), day 2 and day 4 after administration. Cardiotocography monitoring was performed between 11 am and 1 pm to avoid diurnal rhythm of fetal heart rate. Outcome measure included changes in fetal heart rate accelerations, variability and fetal movements following dexamethasone injection. Results: Sixty-eight patients were enrolled in the study. Fetal heart rate accelerations (P=0.0001), short-term variation (P=0.01), episodes of high variation (P=0.003) and fetal movements (P=0.0001) were significantly reduced on day 2 after dexamethasone. No significant changes were found on baseline fetal heart rate (P=0.18), long-term variation (P=0.1) and number of decelerations (P=0.1). All parameters returned to baseline values on Day 4 after administration. Conclusion: Dexamethasone induces transient suppression of fetal heart rate parameters on day 2 after administration that mimics fetal compromise. Awareness of this phenomenon is important to avoid iatrogenic delivery of preterm fetuses.

Fractal and nonlinear changes in the long-term baseline fluctuations of fetal heart rate

2012 ◽  
Vol 34 (4) ◽  
pp. 466-471 ◽  
Author(s):  
J.C. Echeverría ◽  
J. Álvarez-Ramírez ◽  
M.A. Peña ◽  
E. Rodríguez ◽  
M.J. Gaitán ◽  
...  
Keyword(s):  
Heart Rate ◽  
Fetal Heart Rate ◽  
Fetal Heart

Sparse Support Vector Machine for Intrapartum Fetal Heart Rate Classification

2017 ◽  
Vol 21 (3) ◽  
pp. 664-671 ◽  
Author(s):  
Jiri Spilka ◽  
Jordan Frecon ◽  
Roberto Leonarduzzi ◽  
Nelly Pustelnik ◽  
Patrice Abry ◽  
...  
Keyword(s):  
Heart Rate ◽  
Support Vector Machine ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
Support Vector
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