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Fetal ECG Extraction Based on Adaptive Linear Neural Network 被引量:1
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作者 jia wen-juan yang chun-lan zhong guo-cheng zhou meng-ying wu shui-cai 《Chinese Journal of Biomedical Engineering(English Edition)》 2011年第2期75-82,共8页
Fetal ECG extraction has the vital significance for fetal monitoring.This paper introduces a method of extracting fetal ECG based on adaptive linear neural network.The method can be realized by training a small quanti... Fetal ECG extraction has the vital significance for fetal monitoring.This paper introduces a method of extracting fetal ECG based on adaptive linear neural network.The method can be realized by training a small quantity of data.In addition,a better result can be achieved by improving neural network structure.Thus,more easily identified fetal ECG can be extracted.Experimental results show that the adaptive linear neural network can be used to extract fetal ECG from maternal abdominal signal effectively.What's more,a clearer fetal ECG can be extracted by improving neural network structure. 展开更多
关键词 胎儿的 ECG 适应线性神经网络 W-H 学习统治
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