title: Desired Accuracy Estimation of Noise Function from ECG Signal by Fuzzy Approach.
abstract: Unknown noise and artifacts present in medical signals with non-linear fuzzy filter will be estimated and then removed. An adaptive neuro-fuzzy interference system which has a non-linear structure presented for the noise function prediction by before Samples. This paper is about a neuro-fuzzy method to estimate unknown noise of Electrocardiogram signal. Adaptive neural combined with Fuzzy System to construct a fuzzy Predictor. For this system setting parameters such as the number of Membership Functions for each input and output, training epochs, type of MFs for each input and output, learning algorithm and etc. is determined by learning data. At the end simulated experimental results are presented for proper validation.
authors.affiliation: Department of Electrical and Computer Engineering, Digital Signal Processing Lab, Isfahan University of Technology, Isfahan, 84156-83111, Iran.
authors.forename: Zahra
authors.initials: Z
authors.lastname: Vahabi
authors.forename: Saeed
authors.initials: S
authors.lastname: Kermani
keywords: Accuracy; adaptive neuro fuzzy interference system; electrocardiogram; estimation; fuzzy neural network; membership function; noise cancelation; nonlinear filter; prediction