A New Method for Foetal Electrocardiogram Extraction Using Adaptive Nero-Fuzzy Interference System Trained With PSO Algorithm
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A New Method for Foetal Electrocardiogram Extraction Using Adaptive Nero-Fuzzy Interference System Trained With PSO Algorithm
Abstract— a new method for extracting the Foetal Electrocardiogram < Final Year Projects 2016 > FECG signal form the two ECG signals recorded at the thoracic and abdominal areas of the mother’s skin. The thoracic ECG is assumed to be completely maternal ECG (MECG) while the abdominal ECG is assumed to be a combination of mother’s and foetus’s ECG signals and random noise. The maternal component of the in the abdominal ECG is a nonlinearly transformed version of the MECG. The method uses Adaptive Nero-Fuzzy Inference System (ANFIS) structure for identifying the nonlinear transformation. We have used Particle Swarm Optimization (PSO) as a new tool for training the ANFIS structure.
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