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An estimate of fetal autonomic state by time-frequency analysis of fetal heart rate variability

¹The Abramson Institute of Medical Physics, Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv; and ²Helen Schneider Hospital for Women, Rabin Medical Center, Petach Tikva, Israel

Submitted 30 January 2006 ; accepted in final form 30 October 2006

In this study we present a noninvasive method that enables the investigation of the fetal heart rate (FHR) fluctuations. The objective was to design a quantitative measurement to assess the fetal autonomic nervous system and to investigate its development as a function of the gestational age. Our Medical Physics group has developed a complex algorithm for online beat-to-beat detection of the fetal ECG (FECG), extracted from the maternal abdominal ECG signal. We used our previously acquired FECG data, which includes noninvasive recordings of 200 maternal abdominal ECG signals. From these, we chose 35 cases of healthy pregnancies that we divided into three groups according to gestational age: Group 1, 23 ± 2 wk; Group 2, 32 ± 1 wk; and Group 3, 39 ± 1 wk. The FHR variability was analyzed by a time-frequency decomposition based on a continuous wavelet transform. We showed that, independent of the gestational age, most of the FHR power is concentrated in the very-low-frequency range (0.02–0.08 Hz) and in the low-frequency range (0.08–0.2 Hz). In addition, there is power in the high-frequency range that correlates with the frequency range of fetal respiratory motion (0.4–1.7 Hz). In the intermediate-frequency range (0.2–0.4 Hz), the power is significantly smaller. The changes in the average power spectrum in relation to gestation time were carefully and quantitatively examined. The results imply that there is a neural organization during the last trimester of the pregnancy, and the sympathovagal balance is reduced with the gestational age.

autonomic nervous system; wavelet transform