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Development of Diagnostic System for FHR Monitering by Using Neural Networks
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 Title & Authors
Development of Diagnostic System for FHR Monitering by Using Neural Networks
Cha Kyung-Joon; Park Moon-Il; Oh Jae-Eung; Han Hyun-Ju; Lee Hae-Jin; Park Young-Sun;
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In this paper, we construct data-base for fetal heart rate (FHR) data and develop the FHR Monitering system to diagnose fetus, HYFM-III. For diagnostic system, a few statistical decision making mechanism are adopted, such as approximate entropy, neural networks, and logistic discrimination. Since FHR data is very chaotic, we mostly adopt nonlinear statistical methods. On the basis of this system, we expect to develop expert system for early detection of abnormal fetus.
Fetal heart rete (FHR);Approximate entropy;Neural networks;
 Cited by
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