Neural Network Classification of Alcohol Abusers Using Power in Gamma Band Frequency of VEP Signals

We propose a novel method to classify alcohol abusers. The method efficiently estimates total power in gamma band frequency (GBF) of multi-channel Visual Evoked Potential (VEP) signals in the time domain, circumventing power spectrum computation. These are used as features to classify alcohol abusers from control subjects with Multilayer PerceptronBackpropagation (MLP-BP) and Fuzzy ARTMAP (FA) neural network classifiers. Perfect classification performance obtained in the experimental study conducted with 20 subjects totaling 800 VEP signals validates the proposed method.

[1]  J. Cracco.  Spehlmann's evoked potential primer: visual, auditory, and somatosensory evoked potentials in clinical diagnosis , 1995 .

[2]  E. Basar,et al.  Time and frequency analysis of the brain's distributed gamma-band system , 1995 .

[3]  P. Husar,et al.  A periodogram-based method for the detection of steady-state visually evoked potentials , 1998, IEEE Transactions on Biomedical Engineering.

[4]  D Xiao,et al.  Extraction of 40 Hz EEG bursts for chaos analysis of brain function. , 1997, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[5]  H. Begleiter,et al.  Event related potentials during object recognition tasks , 1995, Brain Research Bulletin.

[6]  Catherine Tallon-Baudry,et al.  Induced γ-Band Activity during the Delay of a Visual Short-Term Memory Task in Humans , 1998, The Journal of Neuroscience.

[7]  Stephen Grossberg,et al.  Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps , 1992, IEEE Trans. Neural Networks.

[8]  J. Auñón,et al.  Signal processing in evoked potential research: averaging and modeling. , 1981, Critical reviews in bioengineering.

[9]  P. Welch.  The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .

[10]  Ramaswamy Palaniappan,et al.  Single trial VEP extraction using digital filter , 2001, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563).

[11]  J. G. Snodgrass,et al.  A standardized set of 260 pictures: norms for name agreement, image agreement, familiarity, and visual complexity. , 1980, Journal of experimental psychology. Human learning and memory.

[12]  Evoked EEG gamma band response at slow rates of stimulation , 1992, 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[13]  Henri Begleiter,et al.  The Effects of Alcohol on the Central Nervous System in Humans , 1972 .

[14]  James L. McClelland,et al.  Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .