Nonstressed fetal heart rate monitoring in the antepartum period

Sg, Gabbe; Rochard, F.; Bs, Schifrin; Goupil, F.; Legrand, H.; Blottiere, Josette; Sureau, C

doi:10.1016/s0002-9378(96)70633-6

Cited by 8 publications

(8 citation statements)

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“…Fetal heart rate variability is reported to be an important CTG parameter in the assessment of fetal condition (6Á8). Normal fetal heart rate variability is a reliable indicator of fetal wellbeing irrespective of the heart rate pattern (7), and decreased fetal heart rate variability is associated with fetal acidosis, low Apgar score and perinatal death (7,8). During fetal hypoxia, changes in autonomic nervous system activity result in changes in fetal heart rate variability (9).…”

Section: Introductionmentioning

confidence: 99%

Spectral analysis of fetal heart rate variability for fetal surveillance: review of the literature

Laar

Porath

Peters

et al. 2008

Acta Obstet Gynecol Scand

103

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Section: Introductionmentioning

confidence: 99%

Spectral analysis of fetal heart rate variability for fetal surveillance: review of the literature

Laar

Porath

Peters

et al. 2008

Acta Obstet Gynecol Scand

103

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“…Fetal heart rate monitoring [26,27,28] is widely-used for the assessment of contains, in addition to the fetal's heart beats, the maternal ECG, masking the desired information. In order to suppress the maternal ECG and to extract the fetal ECG, another (reference) electrode is often placed on the mother's thorax for the purpose of measuring only the maternal ECG.…”

Section: Non-invasive Fetal Ecgmentioning

confidence: 99%

Multimodal latent variable analysis

Papyan

Talmon

2018

Signal Processing

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Consider a set of multiple, multimodal sensors capturing a complex system or a physical phenomenon of interest. Our primary goal is to distinguish the underlying sources of variability manifested in the measured data. The first step in our analysis is to find the common source of variability present in all sensor measurements. We base our work on a recent paper, which tackles this problem with alternating diffusion (AD). In this work, we suggest to further the analysis by extracting the sensor-specific variables in addition to the common source. We propose an algorithm, which we analyze theoretically, and then demonstrate on three different applications: a synthetic example, a toy problem, and the task of fetal ECG extraction.

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“…FHR accelerations have long been a sign of fetal well-being during antepartum evaluation (11). However, controversy developed when this concept was extended to intrapartum management.…”

Section: Commentmentioning

confidence: 99%

“…Spontaneous accelerations have been shown to be reassuring, both antepartum and intrapartum (10,11). More recently, evoked accelerations have been shown to indicate a nonacidotic fetus (12,13).…”

mentioning

confidence: 99%