Fetal ECG extraction using an FIR neural network

被引:48
作者
Camps, G [1 ]
Martínez, M [1 ]
Soria, E [1 ]
机构
[1] Univ Valencia, Fac Fis, GPDS, Dept Elect Engn, Valencia, Spain
来源
COMPUTERS IN CARDIOLOGY 2001, VOL 28 | 2001年 / 28卷
关键词
D O I
10.1109/CIC.2001.977639
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Non-invasive electrocardiography reveals itself as a very interesting method to obtain reliable information about the fetus state thus assuring his well being during pregnancy. In this communication a Finite Impulse Response (FIR) neural network is included in the familiar Adaptive Noise Cancellation scheme in order to provide with highly non-linear dynamic capabilities to the recovery model. A novel methodology for selecting the optimal topology is also presented. Results from its application to both simulated and:real registers are shown and benchmarked with the classical LMS and Normalized LMS (NLMS) algorithms. Outcomes indicate that the FIR network is a reliable method for the fetal electrocardiogram recovery.
引用
收藏
页码:249 / 252
页数:4
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