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基于径向基函数神经网络的胎儿心电提取
引用本文:蒲秀娟,曾孝平,陈悦君,余炜,韩亮,程军.基于径向基函数神经网络的胎儿心电提取[J].重庆大学学报(自然科学版),2009,32(1):111-115.
作者姓名:蒲秀娟  曾孝平  陈悦君  余炜  韩亮  程军
作者单位:蒲秀娟,曾孝平,陈悦君,余炜,韩亮,PU Xiu-juan,ZENG Xiao-ping,CHEN Yue-jun,YU Wei,HAN Liang(重庆大学通信工程学院,重庆,400030);程军,CHENG Jun(第三军医大学,西南医院心内科,重庆,400038)  
基金项目:重庆市自然科学基金,重庆大学国家大学生创新性实验计划 
摘    要:针对胎儿心电难以提取问题,提出一种从母体腹壁混合信号中提取胎儿心电的方法.利用径向基函数(radial basis function,RBF)神经网络估计母体心电信号传导至腹壁的非线性变换,将非线性变换后的母体心电信号从腹壁混合信号中减去,再通过小波包去噪技术抑制胎儿心电的基线漂移和噪声,得到清晰的胎儿心电.应用临床心电数据完成实验,在胎儿心电和母体心电QRS波完全重叠情况下,提取出清晰的胎儿心电.实验结果验证了方法的有效性.

关 键 词:胎儿心电  径向基函数神经网络  小波包去噪

Fetal electrocardiogram extraction based on radial basis function neural networks
PU Xiu-juan,ZENG Xiao-ping,CHEN Yue-jun,YU Wei,HAN Liang,CHENG Jun.Fetal electrocardiogram extraction based on radial basis function neural networks[J].Journal of Chongqing University(Natural Science Edition),2009,32(1):111-115.
Authors:PU Xiu-juan  ZENG Xiao-ping  CHEN Yue-jun  YU Wei  HAN Liang  CHENG Jun
Institution:1.College of Communication Engineering;Chongqing University;Chongqing 400030;P.R.China;2.Department of Cardiology;Southwest Hospital;Third Military Medical University;Chongqing 400038;P.R.China
Abstract:A novel method for extracting fetal electrocardiogram(FECG) from the abdominal composite signal of a pregnant woman is proposed.The maternal component in the abdominal electrocardiogram(ECG) signal is a nonlinearly transformed version of the mother's ECG(MECG).This nonlinear relationship was identified using radial basis function(RBF) neural networks.The FECG is extracted by subtracting the nonlinearly transformed version of the MECG from the abdominal ECG signal.The baseline shift and noise in the FECG are...
Keywords:fetal electrocardiogram  radial basis function neural network  wavelet packet denoising  
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