Adaptive filter theory
Adaptive pattern recognition and neural networks
Adaptive pattern recognition and neural networks
Utilization of Discretization method on the diagnosis of optic nerve disease
Computer Methods and Programs in Biomedicine
Review article: Human scalp EEG processing: Various soft computing approaches
Applied Soft Computing
Hi-index | 0.00 |
A non-linear classifier is proposed to discriminate visual evoked potentials (VEP). It combines two techniques: the zero-tracking method and a multi-layer network. The first method consists of processing the VEP data through an adaptive linear prediction filter aiming at extracting the appropriate feature vector to be fed into the neural network. 105 VEPs collected from 48 healthy people and 57 patients are analysed to test the performances of the proposed classifier. The results obtained with a back-propagation network revealed a total success rate equal to 89%. It is also found more accurate than the latency method used in hospitals.