On the use of EEG features towards person identification via neural networks.

Person identification based on spectral information extracted from the EEG is addressed in this work a problem that has not yet been seen in a signal processing framework. Spectral features are extracted non-parametrically from real EEG data recorded from healthy individuals. Neural network classification is applied on these features using a Learning Vector Quantizer in an attempt to experimentally investigate the connection between a person's EEG and genetically specific information. The proposed method, compared with previously proposed methods, has yielded encouraging correct classification scores in the range of 80% to 100% (case-dependent). These results are in agreement with previous research showing evidence that the EEG carries genetic information.

[1]  Teuvo Kohonen,et al.  Self-Organizing Maps , 2010 .

[2]  Ah Chung Tsoi,et al.  Nonlinear considerations in EEG signal classification , 1997, IEEE Trans. Signal Process..

[3]  J. W. Rohrbaugh,et al.  A Procedure For Automatic Classification Of EEG Genetic Variants , 1991, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991.

[4]  Marios Poulos,et al.  Person identification via the EEG using computational geometry algorithms , 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

[5]  Marios Poulos,et al.  Neural network based person identification using EEG features , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[6]  D. Signorini,et al.  Neural networks , 1995, The Lancet.

[7]  Vassilios Chrissikopoulos,et al.  Parametric person identification from the EEG using computational geometry , 1999, ICECS'99. Proceedings of ICECS '99. 6th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.99EX357).

[8]  R. Plomin.  The role of inheritance in behavior. , 1990, Science.

[9]  B. Harvald,et al.  The electroencephalogram in uniovular twins brought up apart. , 1958, Acta genetica et statistica medica.

[10]  John Polich,et al.  Spectral analysis of EEG from families , 1995, Biological Psychology.

[11]  Monte S. Buchsbaum,et al.  Genetic Factors in EEG, Sleep, and Evoked Potentials , 1980 .

[12]  Ulrich Appel,et al.  Adaptive sequential segmentation of piecewise stationary time series , 1983, Inf. Sci..

[13]  H H Stassen,et al.  Genetic aspects of the EEG: an investigation into the within-pair similarity of monozygotic and dizygotic twins with a new method of analysis. , 1987, Electroencephalography and clinical neurophysiology.

[14]  Vassilios Chrissikopoulos,et al.  Person identification based on parametric processing of the EEG , 1999, ICECS'99. Proceedings of ICECS '99. 6th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.99EX357).