| 基于小波分析和神经网络的胎儿心电提取 |
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| 引用本文： | 余尤好,李文芳,刘信禹.基于小波分析和神经网络的胎儿心电提取[J].莆田学院学报,2012,19(5):83-87. |
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| 作者姓名： | 余尤好 李文芳 刘信禹 |
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| 作者单位： | 1. 莆田学院电子信息工程系,福建莆田,351100
2. 莆田学院附属医院检验科,福建莆田,351100 |
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| 基金项目： | 福建省教育科学“十二五”规划2012年度常规课题 |
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| 摘 要： | 通过小波分析方法和自适应线性神经网络相结合,对围产期母体腹壁混合心电信号进行处理,采用两种方案进行仿真并分析对比。分别采用小波变换和小波包分解技术对心电信号消噪处理,探索一种提取出胎儿清晰心电信号的方法,为下一步胎儿心电信号特征提取和健康状况的诊断奠定基础。实验结果表明,先提取胎儿心电信号,再进行消噪处理效果较好。
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| 关 键 词： | 小波分析 神经网络 胎儿心电信号 自适应 |
Extraction of FECG Based on Neural Network and Wavelet Analysis |
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| YU You-hao,LI Wen-fang,LIU Xin-yu.Extraction of FECG Based on Neural Network and Wavelet Analysis[J].journal of putian university,2012,19(5):83-87. |
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| Authors: | YU You-hao LI Wen-fang LIU Xin-yu |
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| Institution: | 1.Electronic & Information Engineering Department,Putian University,Putian Fujian 35110,China; 2.Department of Clinical Laboratory,Affiliated Hospital of Putian University,Putian Fujian 351100,China) |
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| Abstract: | The wavelet analysis and adaptive linear neural network was combined to deal with and analyze the mixed ECG signal on the abdominal of perinatal maternal.Two kinds of schemes were used for simulation and the results were analyzed and compared.Wavelet transform and wavelet packet decomposition technology were used in ECG signal denoising for clearly fetal ECG signal extraction.It laid foundation for the fetal ECG feature extraction and health status diagnosis.The experiment results showed that it was more effective to extract the feature of fetal ECG before denoising. |
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| Keywords: | wavelet analysis neural network fetal ECG signal adaptive |
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