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Proceedings ArticleDOI

Nonlinear FHR baseline estimation using empirical mode decomposition and Kohonen neural network

TLDR
The proposed novel non-linear FHR baseline estimation method using empirical mode decomposition (EMD) and clustering method using Kohonen neural network (KNN) reaches a higher subjective satisfaction of the clinical experts with closer basal FHR values and more accurate acceleration/deceleration detections.
Abstract
Automated analysis of the fetal heart rate (FHR) curve plays a significant role in computer-aided fetal monitoring. The first and critical step is the estimation of the FHR baseline. Our study proposes a novel non-linear FHR baseline estimation method using empirical mode decomposition (EMD) and clustering method using Kohonen neural network (KNN). To assess the baseline quality, a comparative study was made against a cited linear baseline estimation algorithm and an existing baseline estimation algorithm of a fetal monitor's platform using randomly selected FHR signals. The results show that the proposed method reaches a higher subjective satisfaction of the clinical experts with closer basal FHR values and more accurate acceleration/deceleration detections.

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Citations
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Proceedings ArticleDOI

Fetal Heart Baseline Extraction And Classification based on Deep Learning

TL;DR: The results of the experiment show the superiority and efficiency of deep learning in feature extraction, and make it possible for fetal distress detection in computer-aid diagnosis which has greatly reduced the burden on doctors.
Journal ArticleDOI

Fetal heart rate baseline estimation with analysis of fetal movement signal.

TL;DR: The results showed that the combined method, where the fetal movement detection result was the union of results of actography and tocography, achieved a better performance with the highest sensitivity and an acceptable positive predictive value (PPV).
Journal ArticleDOI

Solution of Controversy in Fetal Heart Rate Patterns

TL;DR: Although perinatal mortality, neonatal asphyxia and cerebral palsy reduced after introduction of intrapartum FHR monitoring, there remained controversy on HR patterns in the electronic fetal monitoring (EFM) and cardiotokography (CTG).
References
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Journal ArticleDOI

Evaluation of interobserver agreement of cardiotocograms

TL;DR: Analysis of most cardiotocographic events is poorly reproducible, even when experts use the FIGO guidelines, which may be explained by some still ambiguous guidelines, by eyeball limitations in evaluation of subtle events, and by the incapacity of busy clinicians to assess complex and multiple cardiotOCographic events in a systematic and disciplined fashion.
Journal ArticleDOI

Numerical analysis of the human fetal heart rate: The quality of ultrasound records

TL;DR: A comparison of simultaneous direct ECG and ultrasound records shows that the latter provide reasonable statistical measures of heart period variation, and also of accelerations and decelerations provided that signal loss is taken into account.
Journal ArticleDOI

Computer analysis of antepartum fetal heart rate: 1. Baseline determination

TL;DR: The described procedure of baseline determination provides a solid base for automated detection of accelerations and decelerations in Fetal heart rate recordings and enables the study of the relation between the fetal heart rate pattern and fetal movements.
Journal ArticleDOI

Computerized analysis of fetal heart rate.

TL;DR: A new computerized System (2CTG) is deveioped for the fully automated and on line analysis of F HR patterns based on a solid identification of FHR baseline and on behavioral patterns recognition.
Journal ArticleDOI

Computerised estimation of the baseline fetal heart rate in labour: the low frequency line

TL;DR: Computerised FHR baseline estimation shows improvements in the accuracy and efficiency of the current baseline estimation methods, particularly when dealing with high levels of uncertainty in the response of the immune system.
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