Towards better reliability in fetal heart rate variability using time domain and spectral domain analyses. A new method for assessing fetal neurological state?

• Published in: PloS one Vol. 17; no. 3; p. e0263272
• Main Authors: Zizzo, Anne Rahbek, Kirkegaard, Ida, Uldbjerg, Niels, Hansen, John, Mølgaard, Henning
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 01.03.2022; Public Library of Science (PLoS)
• Subjects: Adult; Analysis; Biology and Life Sciences; Coefficient of variation; Correlation coefficient; Correlation coefficients; EKG; Electrocardiogram; Electrocardiography; Electrocardiography - methods; Engineering and Technology; Female; Fetal heart rate; Fetal monitoring; Fetal Monitoring - methods; Fetuses; Gestational Age; Gynecology; Health surveillance; Heart rate; Heart Rate, Fetal - physiology; Hospitals; Humans; Intervals; Medicine and Health Sciences; Methods; Nervous system; Noise; Obstetrics; Parameters; People and Places; Physical Sciences; Pregnancy; Recording; Reliability analysis; Reproducibility of Results; Research and Analysis Methods; Spectra; Time domain analysis; Time series; Womens health; Denmark; Aarhus Denmark
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0263272

Fetal heart rate variability (FHRV) has shown potential in fetal surveillance. Therefore, we aimed to evaluate the reliability of time domain and spectral domain parameters based on non-invasive fetal electrocardiography (NI-FECG). NI-FECG, with a sampling frequency of 1 kHz, was obtained in 75 healthy, singleton pregnant women between gestational age (GA) 20+0 to 41+0. The recording was divided into a) heart rate pattern (HRP) and b) periods fulfilling certain criteria of stationarity of RR-intervals, termed stationary heart rate pattern (SHRP). Within each recording, the first and the last time series from each HRP with less than 5% artifact correction were analyzed and compared. Standard deviation of normal-to-normal RR-intervals (SDNN), root mean square of successive differences (RMSSD), high frequency power (HF-power), low frequency power (LF-power), and LF-power/HF-power were performed. A multivariate mixed model was used and acceptable reliability was defined as intraclass correlation coefficient (ICC) ≥ 0.80 and a coefficient of variation (CV) ≤ 15%. Based on these results, the CV and ICC were computed if the average of two to six time series was used. For GA 28+0 to 34+6, SDNN and RMSSD exhibited acceptable reliability (CV < 15%; ICC > 90%), whereas GA 35+0 to 41+0and 20+0 to 27+6 showed higher CVs. Spectral domain parameters also showed high CVs However, by using the mean value of two to six time series, acceptable reliability in SDNN, RMSSD and HF-power from GA 28+0 was achieved. Stationarity of RR-intervals showed high influence on reliability and SHRP was superior to HRP, whereas the length of the time series showed minor influence. Acceptable reliability seems achievable in SDNN, RMSSD and HF-power from gestational week 28. However, stationarity of RR-intervals should be considered when selecting time series for analyses.