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Updated: May 14, 2026

In utero Measurement of Heart Rate in Mouse by Noninvasive M-mode Echocardiography
Published on: November 22, 2013
Heart rate variability in the individual fetus
Peter Van Leeuwen1, Dirk Cysarz, Friedrich Edelhäuser
1Grönemeyer Institute of Microtherapy, University of Witten/Herdecke, Bochum, Germany.
Insights
This study analyzed fetal heart rate variability (HRV) within individual fetuses, finding that complexity measures like approximate entropy (ApEn) better reflect prenatal development than group data. Individual fetal HRV analysis offers more consistent insights into cardiovascular regulation during gestation.
Area of Science:
- Perinatal Medicine
- Cardiovascular Physiology
- Biomedical Signal Processing
Background:
- Fetal heart rate and its variability (HRV) change throughout gestation, linked to fetal growth and neural development.
- Existing studies often analyze group data, potentially masking individual developmental trajectories.
- Investigating within-fetus HRV is crucial for a deeper understanding of fetal cardiovascular regulation.
Purpose of the Study:
- To investigate fetal heart rate variability (HRV) within individual fetuses across the second and third trimesters.
- To compare the consistency of HRV measures derived from individual fetuses versus pooled group data.
- To determine which HRV measures best reflect prenatal developmental factors.
Main Methods:
- Acquired 213 fetal magnetocardiograms (MCGs) from 11 fetuses (2nd-3rd trimesters).
- Calculated fetal RR interval time series and HRV measures: SDNN, RMSSD, ApEn, and Irrev.
- Performed regression analyses of HRV measures against gestational age and RR interval for each fetus.
Main Results:
- Fetal HRV measures generally increased with gestational age and RR interval.
- Within-fetus HRV consistency was greater than in pooled data.
- Approximate entropy (ApEn) showed the highest individual R(2) values and most consistent inter-subject courses, suggesting it better reflects developmental factors.
Conclusions:
- Individual fetal HRV analysis provides more consistent and reliable insights into cardiovascular regulation than group analysis.
- Complexity measures, particularly ApEn, are promising for reflecting prenatal developmental influences on fetal cardiovascular regulation.
- Further research into individualized fetal HRV analysis can enhance our understanding of fetal development and well-being.
Abstract:
The change in fetal heart rate and its variability (HRV) during the course of gestation has been documented by numerous studies. The overall drop in heart rate and increase in fetal HRV is associated with fetal growth in general and with the increase in neural integration in particular. The increased complexity of the demands on the cardiovascular system leads to more variation in the temporal course of the heart rate. Most studies that document and interpret these changes are based on data acquired in groups of fetuses. The aim of this work was to investigate HRV within single fetuses. We acquired 213 5min fetal magnetocardiograms in 11 fetuses during the second and third trimesters (at least 10 data sets per fetus, median 17). From the magnetocardiograms we determined the fetal RR interval time series and calculated the standard deviation (SDNN), root mean square of successive differences (RMSSD), approximate entropy (ApEn) and temporal asymmetry (Irrev). For each subject and HRV measure, we performed regression analysis with respect to gestational age, alone and in combination with RR interval. The coefficient of determination R(2) was used to estimate goodness-of-fit. The coefficient of quartile dispersion (CQD) was used to compare the regression parameters for each HRV measure. Overall, the HRV measures increased with age and RR interval. The consistency of the HRV measures within the individual fetuses was greater than in the data pooled over all fetuses. The individual R(2) for the model including age and RR interval was best for ApEn (.79, .59-.94; median, 90% CI), followed by RMSSD (.71, .25-.88), SDNN (.55, .18-.90) and Irrev (.16, .01-.39). These values, except for Irrev, were higher than those calculated over all 213 data sets (R(2)=.65, .63, .35, .28, respectively). The slopes of the regressions of each individual's data were most consistent over all subjects for ApEn, followed by RMSSD and SDNN and Irrev. Interindividually, the time domain measures showed discrepancies and the within-fetus courses were more consistent than the course over all fetuses. On the other hand, the course of ApEn during gestation was not only very consistent within each fetus but also very similar between most of subjects. Complexity measures such as ApEn may thus more consistently reflect prenatal developmental factors influencing cardiovascular regulation.
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