Interference Cancellation in FECG using Artificial Intelligence Techniques

Abstract

In this paper, artificial intelligence like hybrid neuro fuzzy logic technique is proposed to cancel the major non-linear interference called maternal electrocardiogram for the extraction of fetal electrocardiogram (FECG). Conventional filtering techniques are not suitable due to an overlap in spectral content of the fetal and the interference. The performance evaluation of the proposed technique is done on the extracted fetal signal in terms of signal to noise ratio, mean square error, and number of membership functions, learning rates and processing time. Comparison is made between the proposed technique and the neural network. It shows that neuro fuzzy logic successfully cancels the interference in fetal electrocardiogram.