Neural network based detection of fetal heart rate patterns

Automated detection of fetal heart rate (FHR) patterns can potentially improve intra-partum care by providing consistent and reliable measures that assist health-care professionals in their assessment of the state of the fetus. We use the combined tools of signal processing and neural networks to detect the FHR patterns of baseline, acceleration and deceleration. Comparison to previous results reported in the literature are provided.

[1]  J. Kurinczuk,et al.  A confidential enquiry into cases of neonatal encephalopathy , 2002, Archives of disease in childhood. Fetal and neonatal edition.

[2]  Dinah SorianoTom Bylander.  Training a Neural Network to Recognize Artifacts and Decelerations in Cardiotocograms , 1996 .

[3]  J. Kurinczuk,et al.  Antepartum risk factors for newborn encephalopathy: the Western Australian case-control study , 1998 .

[4]  T.,et al.  Training Feedforward Networks with the Marquardt Algorithm , 2004 .

[5]  P R Burton,et al.  Intrapartum risk factors for newborn encephalopathy: the Western Australian case-control study , 1998, BMJ.

[6]  Thomas,et al.  Applying no-fault compensation criteria to obstetric malpractice claims. , 1998, Primary care update for Ob/Gyns.

[7]  Mohammad Bagher Menhaj,et al.  Training feedforward networks with the Marquardt algorithm , 1994, IEEE Trans. Neural Networks.

[8]  Amparo Alonso-Betanzos,et al.  Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system , 2002, Artif. Intell..

[9]  B. L. Stalnaker,et al.  Characteristics of successful claims for payment by the Florida Neurologic Injury Compensation Association Fund. , 1997, American journal of obstetrics and gynecology.

[10]  Amparo Alonso-Betanzos,et al.  Symbolic, Neural and Neuro-fuzzy Approaches to Pattern Recognition in Cardiotocograms , 2002, Advances in Computational Intelligence and Learning.

[11]  Georg Dorffner,et al.  Neural networks for recognizing patterns in cardiotocograms , 1998, Artif. Intell. Medicine.

[12]  T. Brennan,et al.  Reduced Medicolegal Risk by Compliance With Obstetric Clinical Pathways: A Case–Control Study , 2003, Obstetrics and gynecology.