An auto detection system for Electrocardiogram of Foetal heart Issues
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.
Keywords: FECG, AECG, TECG, surface potentials, Genetic Algorithm (GA), processing communities, and cutoff frequency.
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ABOUT THE AUTHOR
Mahmoud Ahmed Suliman Ali
Department of Communication, College of Communications Engineering, Chongqing University, Postal Code 400044, 174shazheng St. Shapingba District, Chongqing, P.R. China
Mahmoud Ahmed Suliman Ali
Department of Communication, College of Communications Engineering, Chongqing University, Postal Code 400044, 174shazheng St. Shapingba District, Chongqing, P.R. China
