Electronic fetal heart rate monitoring and its relationship to neonatal and infant mortality in the United States

2012 ◽  
Vol 2012 ◽  
pp. 330-331
Author(s):  
D.H. Chestnut
Keyword(s):  
United States ◽  
Heart Rate ◽  
Infant Mortality ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
The United States ◽  
Heart Rate Monitoring ◽  
Fetal Heart Rate Monitoring

Electronic fetal heart rate monitoring and its relationship to neonatal and infant mortality in the United States

2011 ◽  
Vol 204 (6) ◽  
pp. 491.e1-491.e10 ◽  
Author(s):  
Han-Yang Chen ◽  
Suneet P. Chauhan ◽  
Cande V. Ananth ◽  
Anthony M. Vintzileos ◽  
Alfred Z. Abuhamad
Keyword(s):  
United States ◽  
Heart Rate ◽  
Infant Mortality ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
The United States ◽  
Heart Rate Monitoring ◽  
Fetal Heart Rate Monitoring

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

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xuan Yang ◽  
Ke Zhang ◽  
Jianhu He
Keyword(s):  
Heart Rate ◽  
Fetal Heart Rate ◽  
Heart Sound ◽  
Fetal Heart ◽  
The United States ◽  
Heart Rate Monitoring ◽  
Fetal Heart Rate Monitoring ◽  
Significant Difference ◽  
Diagnostic Standards ◽  
The Difference

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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