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. 2021 Mar 20:2021:5517692.
doi: 10.1155/2021/5517692. eCollection 2021.

Application and Clinical Analysis of Remote Fetal Heart Rate Monitoring Platform in Continuous Fetal Heart Rate Monitoring Images

Xuan Yang  1 , Ke Zhang  1 , Jianhu He  1
Affiliations

Application and Clinical Analysis of Remote Fetal Heart Rate Monitoring Platform in Continuous Fetal Heart Rate Monitoring Images

Xuan Yang et al. J Healthc Eng. .

Retraction in

Abstract

Fetal heart sound is an important part of fetal monitoring and has attracted extensive research and attention from scholars at home and abroad in recent years. The fetal heart rate, extracted from the fetal heart sound signal, is one of the important indicators that reflect the health of the fetus in the womb. In this study, a maternal-fetal Holter monitor based on f ECG technology was used to collect maternal heart rate, fetal heart rate, and uterine contractions signals, isolate the fetal heart rate, and design an algorithm to extract the fetal heart rate baseline, acceleration, variation, wake-up cycle, and nonlinear parameters. Using statistical methods to analyze the average value and range of various characteristic parameters of fetal heart rate under continuous long-term monitoring, the results show that the baseline has a downward trend from 10 o'clock in the night to 4 o'clock in the morning and is the lowest around 2 o'clock in the morning. The area and acceleration time were significantly higher than those in the suspicious group. However, there was no significant difference in the number of acceleration values between the two groups; the proportion of small mutations in the normal group was lower than that of the suspicious group and the proportion of medium mutations was higher than that of the suspicious group. There is no statistically significant difference in maternal age, gestational age at childbirth, pregnancy comorbidities, and complication rates in the five-level interpretation system of ACOG (2009), RCOG (2007), SOGC (2007), and the United States (2007). The difference of pregnancy and parity in various images was statistically significant, P < 0.05. The second type of fetal heart rate monitoring images appeared in the highest among the diagnostic standards, and the difference in the second type of fetal heart rate monitoring images between the various diagnostic standards was statistically significant, P ≤ 0.001.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Figure 1
Figure 1
Architecture diagram of remote fetal heart rate monitoring platform.
Figure 2
Figure 2
The structure diagram of the baseline feature parameter extraction of fetal heart monitoring.
Figure 3
Figure 3
Comparison of gestational age at delivery of 1200 fetal umbilical vein pH values.
Figure 4
Figure 4
The predictive value of the second and above images of the four interpretation standards for continuous fetal heart rate monitoring during labor.
Figure 5
Figure 5
Receiver operating curve.
Figure 6
Figure 6
Multivariate logistic regression analysis results of the four diagnostic criteria of 1200 cases of continuous fetal heart monitoring images during labor and the maternal clinical conditions.
Figure 7
Figure 7
Multivariate logistic regression analysis results of 1200 cases of intrapartum continuous fetal heart monitoring images combined with measurement of uterine artery blood flow, umbilical artery blood flow, and biophysical score.
Figure 8
Figure 8
Magnetic resonance images of 4 fetuses.
See this image and copyright information in PMC

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