Discrimination of Alcoholic Subjects using Second Order Autoregressive Modelling of Brain Signals Evoked during Visual Stimulus Perception

Authors: Ramaswamy Palaniappan

Abstract:

In this paper, a second order autoregressive (AR) model is proposed to discriminate alcoholics using single trial gamma band Visual Evoked Potential (VEP) signals using 3 different classifiers: Simplified Fuzzy ARTMAP (SFA) neural network (NN), Multilayer-perceptron-backpropagation (MLP-BP) NN and Linear Discriminant (LD). Electroencephalogram (EEG) signals were recorded from alcoholic and control subjects during the presentation of visuals from Snodgrass and Vanderwart picture set. Single trial VEP signals were extracted from EEG signals using Elliptic filtering in the gamma band spectral range. A second order AR model was used as gamma band VEP exhibits pseudo-periodic behaviour and second order AR is optimal to represent this behaviour. This circumvents the requirement of having to use some criteria to choose the correct order. The averaged discrimination errors of 2.6%, 2.8% and 11.9% were given by LD, MLP-BP and SFA classifiers. The high LD discrimination results show the validity of the proposed method to discriminate between alcoholic subjects.

Keywords: Linear Discriminant, Neural Network, VisualEvoked Potential.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1080360

References:

[1] Jansen, B.H., Bourne, J.R., and Ward, J.W., "Autoregressive Estimation of Short Segment Spectra for Computerized EEG Analysis," IEEE Transactions on Biomedical Engineering, vol. 28, no. 9, pp. 630-638, September 1981.
[2] Ning, T., and Bronzino, J.D., "Autoregressive and Bispectral Analysis techniques: EEG Applications," IEEE Engineering in Medicine and Biology Magazine, vol. 9 no.1, pp. 47-50, March 1990.
[3] Box, G.E.P., and Jenkins, G.M., Time Series Analysis: Forecasting and Control Holden Day, San Francisco, 1976.
[4] Burg, J.P., "A new analysis technique for time series data," In Childers, D.G. (ed.), Modern Spectrum Analysis, New York, IEEE Press, pp. 42- 28, 1978.
[5] Anderson, C.W., Stolz, E.A., and Shamsunder, S., "Multivariate Autoregressive Models for Classification of Spontaneous Electroencephalogram During Mental Tasks," IEEE Transactions on Biomedical Engineering, vol. 45, no. 3, pp. 277-286, 1998.
[6] Keirn, Z.A., and Aunon, J.I., "A new mode of communication between man and his surroundings," IEEE Transactions on Biomedical Engineering, vol. 37, no.12, pp. 1209-1214, December 1990.
[7] Palaniappan, R., and Raveendran, P., "Using Genetic Algorithm to Identify The Discriminatory Subset of Multi-channel Spectral Bands for Visual Response", Applied Soft Computing, vol. 2, Issue 1F, pp. 48-60, August 2002.
[8] Palaniappan, R., Raveendran, P., and Omatu, S., "VEP Optimal Channel Selection Using Genetic Algorithm for Neural Network Classification of Alcoholics," IEEE Transactions on Neural Network, vol. 13, issue 2, pp.486-491, March 2002.
[9] Basar, E., Eroglu, C.B., Demiralp, T., and Schurman, M., "Time and Frequency Analysis of the Brain-s Distributed Gamma-Band System," IEEE Engineering in Medicine and Biology Magazine, pp. 400-410, July/Aug. 1995.
[10] Shiavi, R., Introduction to Applied Statistical Signal Analysis, 2nd edition, Academic Press, 1999.
[11] Aunon, J.I., McGillem C.D., and Childers, D.G., "Signal Processing in Event Potential Research: Averaging and Modelling," CRC Crit. Rev. Bioeng., vol 5, pp. 323-367, 1981.
[12] Fukunaga, K., Introduction to Statistical Pattern Recognition, 2nd edition, Academic Press, 1990.
[13] Rumelhart, D.E., and McCelland, J.L., Parallel Distributed Processing: Exploration in the Microstructure of Cognition, MIT Press, vol. 1, 1986.
[14] Kasuba, T., "Simplified Fuzzy ARTMAP," AI Expert, vol. 8, no. 11, pp. 19-25, 1993.
[15] Jasper, H., "The ten twenty electrode system of the international federation," Electroencephalographic and Clinical Neurophysiology, vol. 10, pp. 371-375, 1958.
[16] Snodgrass, J.G., and Vanderwart, M., "A Standardized Set of 260 Pictures: Norms for Name Agreement, Image Agreement, Familiarity, and Visual Complexity," Journal of Experimental Psychology: Human Learning and Memory, vol. 6, no. 2, pp. 174-215,1980.
[17] Starr, A., and Philips, L., "Verbal and motor memory in the amnesic syndrome," Neuropsychologia, vol. 8, pp.75-88, 1970.