Quantitative analysis of fetal rate: its application in antepartum clinical monitoring and behavioural pattern recognition

Linear and nonlinear parameters for the analysis of fetal heart rate signal from cardiotocographic recordings

Antepartum fetal monitoring based on the classical cardiotocography (CTG) is a noninvasive and simple tool for checking fetal status. Its introduction in the clinical routine limited the occurrence of fetal problems leading to a reduction of the precocious child mortality. Nevertheless, very poor indications on fetal pathologies can be inferred from the even automatic CTG analysis methods, which are actually employed. The feeling is that fetal heart rate (FHR) signals and uterine contractions carry much more information on fetal state than is usually extracted by classical analysis methods. In particular, FHR signal contains indications about the neural development of the fetus. However, the methods actually adopted for judging a CTG trace as "abnormal" give weak predictive indications about fetal dangers. We propose a new methodological approach for the CTG monitoring, based on a multiparametric FHR analysis, which includes spectral parameters from autoregressive models and nonlinear algorithms (approximate entropy). This preliminary study considers 14 normal fetuses, eight cases of gestational (maternal) diabetes, and 13 intrauterine growth retarded fetuses. A comparison with the traditional time domain analysis is also included. This paper shows that the proposed new parameters are able to separate normal from pathological fetuses. Results constitute the first step for realizing a new clinical classification system for the early diagnosis of most common fetal pathologies.

Improvements in computerized fetal heart rate analysis antepartum

The continued development of a computerised system for measuring the pattern of the antepartum fetal heart rate (FHR) is described. Previous work had established that measurement of FHR variation objectively detects chronic fetal hypoxaemia and the onset of metabolic acidaemia antepartum. The normal centiles were calculated for the amplitude of long-term FHR variation, in episodes of high and low variation, week by week from 24-42 weeks gestation. Reference to these (automatically by the computer) improved discrimination between normal and questionable records in 38% of records, with a small saving of time. Two types of sinusoidal rhythm were described (slow, 1 in 2-5 minutes, incidence 0.16% of subjects; and faster, 2-5 per minute, incidence 0.025%) with methods for their detection. Both may be of sufficient amplitude to induce an episode of high FHR variation. The different effects of maternal steroid (betamethasone or dexamethasone) administration of FHR variation were compared, and the clinical consequences considered. The frequency distribution of basal FHR in normal and abnormal records was measured, and the effects on basal FHR outside the normal range (120-160 bpm) on FHR variation described. Adjustment of the FHR baseline was undertaken when, exceptionally, large abrupt changes in heart rate occurred during a record. The duration and frequency of FHR record acquisition in clinical practice were reviewed, and new policies recommended. With adequate safeguards, measurement by a computer offers reliable objective information from which fetal health may be assessed, more objectively and accurately than by visual inspection.

Computerized evaluation of fetal heart-rate patterns

Antepartum Cardiotocography (CTG) is one of the few techniques available today to assess fetal conditions in high risk pregnancies. Visual interpretation of CTG traces has been shown to be unreliable. In order to eliminate observer variability and to increase the accuracy of CTG, numerical on-line analysis of fetal heart rate (FHR) patterns was introduced. The experience with computerized systems has shown that the best indicator of fetal conditions is variation, long- or short-term. Mean range (Long-term variation) values of less than 20 msec are associated with an increased rate of fetal acidaemia and perinatal mortality. The availability of numerical measurements enables the detection of small changes in FHR occurring in time, so when initial deterioration signs arise, the single fetus can be followed up longitudinally. Moreover, a more accurate correlation with other biophysical and biochemical parameters of the fetus can be done, as well as with perinatal outcome. In conclusion, computerized CTG improves accuracy and allows to distinguish fetuses that are truly jeopardized because of hypoxemia, from those who are not.