文章基本信息

标题：An auto detection system for Electrocardiogram of Foetal heart Issues
作者：Mahmoud Ahmed Suliman Ali
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2011
卷号：8
期号：5
出版社：IJCSI Press
摘要：Knowledge of the foetal heart signal prevents Foetal problems in the earlier stage. Recently, there has been a growing interest study on extraction of FECG using noninvasive method rather than the old invasive method which was more risky for the mothers health. The problems of extraction of the Foetal signals are the problems that plagued researchers in the field of signal processing. The Objective of this paper is to develop a technique for auto extracting FECG signals based on adaptive filter and simple Genetic algorithm. Practical method for extraction using computer simulations is proposed. A program for carrying out the calculations was developed in MATLAB. The testing of the algorithms was done by using real data from SISTA/DAISY and Physionet. The proposed technique for extraction of FECG was useful and the results appear to agree with the mean values of FECG.
关键词：FECG; AECG; TECG; surface potentials; Genetic Algorithm (GA); processing communities; and cutoff frequency.