Quantitative evaluation of fetal heart rate patterns

Haan, J. de; Bemmel, Jan H. van; Stolte, L.A.M.; Janssens, J.; Eskes, T.K.A.B.; Versteeg, Bart; Veth, A.F.L.; Braaksma, J.T.

doi:10.1016/0028-2243(71)90057-8

Cited by 35 publications

(10 citation statements)

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“…To quantify the short-term variability of the FHR signal we applied the STI index proposed by de Haan [23], which was chosen from many others as being the most reliable measure of the beat-to-beat changes [24]. The STI index was defined as follows:…”

Section: Resultsmentioning

confidence: 99%

A novel technique for fetal heart rate estimation from Doppler ultrasound signal

et al. 2011

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BackgroundThe currently used fetal monitoring instrumentation that is based on Doppler ultrasound technique provides the fetal heart rate (FHR) signal with limited accuracy. It is particularly noticeable as significant decrease of clinically important feature - the variability of FHR signal. The aim of our work was to develop a novel efficient technique for processing of the ultrasound signal, which could estimate the cardiac cycle duration with accuracy comparable to a direct electrocardiography.MethodsWe have proposed a new technique which provides the true beat-to-beat values of the FHR signal through multiple measurement of a given cardiac cycle in the ultrasound signal. The method consists in three steps: the dynamic adjustment of autocorrelation window, the adaptive autocorrelation peak detection and determination of beat-to-beat intervals. The estimated fetal heart rate values and calculated indices describing variability of FHR, were compared to the reference data obtained from the direct fetal electrocardiogram, as well as to another method for FHR estimation.ResultsThe results revealed that our method increases the accuracy in comparison to currently used fetal monitoring instrumentation, and thus enables to calculate reliable parameters describing the variability of FHR. Relating these results to the other method for FHR estimation we showed that in our approach a much lower number of measured cardiac cycles was rejected as being invalid.ConclusionsThe proposed method for fetal heart rate determination on a beat-to-beat basis offers a high accuracy of the heart interval measurement enabling reliable quantitative assessment of the FHR variability, at the same time reducing the number of invalid cardiac cycle measurements.

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Section: Resultsmentioning

confidence: 99%

A novel technique for fetal heart rate estimation from Doppler ultrasound signal

et al. 2011

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“…Monitoring FHR signal became of common clinical use when cardiotocographic (CTG) recordings were introduced and computerized analysis allowed to classify FHR variability by standard traditional parameters (De Haan et al 1971). A still open problem is that, up to now, FHR analysis has given unsatisfactory results predicting fetal morbidity (Van Geijn 1996).…”

Section: Quantitative Diagnosis Of Iugr Fetuses: Prsa Indices Methods mentioning

confidence: 99%

Monitoring fetal maturation—objectives, techniques and indices of autonomic function

et al. 2017

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Objective Monitoring the fetal behavior does not only have implications for acute care but also for identifying developmental disturbances that burden the entire later life. The concept, of ‘fetal programming’, also known as ‘developmental origins of adult disease hypothesis’, e.g. applies for cardiovascular, metabolic, hyperkinetic, cognitive disorders. Since the autonomic nervous system is involved in all of those systems, cardiac autonomic control may provide relevant functional diagnostic and prognostic information. Approach The fetal heart rate patterns (HRP) are one of the few functional signals in the prenatal period that relate to autonomic control and, therefore, is key to fetal autonomic assessment. The development of sensitive markers of fetal maturation and its disturbances requires the consideration of physiological fundamentals, recording technology and HRP parameters of autonomic control. Main Results Based on the ESGCO2016 special session on monitoring the fetal maturation we herein report the most recent results on: (i) functional fetal autonomic brain age score (fABAS), Recurrence Quantitative Analysis and Binary Symbolic Dynamics of complex HRP resolve specific maturation periods, (ii) magnetocardiography (MCG) based fABAS was validated for cardiotocography (CTG), (iii) 30 min recordings are sufficient for obtaining episodes of high variability, important for intrauterine growth restriction (IUGR) detection in handheld Doppler, (iv) novel parameters from PRSA to identify Intra IUGR fetuses, (v) evaluation of fetal electrocardiographic (ECG) recordings, (vi) correlation between maternal and fetal HRV is disturbed in pre-eclampsia. Significance The reported novel developments significantly extend the possibilities for the established CTG methodology. Novel HRP indices improve the accuracy of assessment due to their more appropriate consideration of complex autonomic processes across the recording technologies (CTG, handheld Doppler, MCG, ECG). The ultimate objective is their dissemination into routine practice and studies of fetal developmental disturbances with implications for programming of adult diseases.

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“…In addition to these traditional parameters, measures from foetal HR analyses were computed: Long Term Variability (LTV), Short Term Variability (STV), Interval Index (II), Differential Index (DI) and Long Term Irregularity (LTI) (Signorini et al 2003; de Haan et al 1971). …”

Section: Methodsmentioning

confidence: 99%

Novel heart rate parameters for the assessment of autonomic nervous system function in premature infants

et al. 2016

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Autonomic Nervous System (ANS) balance is a key factor in homeostatic control of cardiac activity, breathing and certain reflex reactions such as coughing, sneezing and swallowing and thus plays a crucial role for survival. ANS impairment has been related to many neonatal pathologies, including Sudden Infant Death Syndrome (SIDS). Moreover, some conditions have been identified as risk factors for SIDS, such as prone sleep position. There is an urgent need for timely and non-invasive assessment of ANS function in at-risk infants. Systematic measurement of Heart Rate Variability (HRV) offers an optimal approach to access indirectly both sympathetic and parasympathetic influences on ANS functioning. In this paper, data from premature infants collected in a sleep physiology laboratory in the NICU are presented: traditional and novel approaches to HRV analyses are applied and compared in order to evaluate their relative merits in the assessment of ANS activity and the influence of sleep position. Indices from time and nonlinear approaches contributed as markers of physiological development in premature infants. Moreover, significant differences were observed as a function of sleep position.

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Quantitative evaluation of fetal heart rate patterns

Cited by 35 publications

References 1 publication

A novel technique for fetal heart rate estimation from Doppler ultrasound signal

A novel technique for fetal heart rate estimation from Doppler ultrasound signal

Monitoring fetal maturation—objectives, techniques and indices of autonomic function

Novel heart rate parameters for the assessment of autonomic nervous system function in premature infants

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