SINGLE TRAIL P300 CLASSIFICATION VIA PROBABILISTIC FUZZY CLASSIFIER AND GENETIC ALGORITHM

Amirhossein Jafarian, Mohammadhassan Moradi, Vahid Abootalebi, Mostafa Jafarian

2012

Abstract

P300 is an endogenous brain response to meaningful stimuli in oddball paradigm. Here the aim is to estimate whether this component exists in the recorded electroencephalogram (EEG) segment. A Probabilistic Fuzzy Classifier (PFC) followed by Genetic Algorithm (GA) has been developed in this paper. The main motivation of using PFC is that it not merely has the advantages of fuzzy systems, but also can exploit the stochastic properties of the underlying data. Moreover, by selecting the best set of time-frequency features utilizing GA the classification accuracy is enhanced. A comparison between the performance of the classifier and those based on stochastic properties of the data, like LDA (Linear Discriminate Analysis) and conventional fuzzy classifier verifies the superior performance of using this system.

References

  1. Kropotov, J., (2007). Quantitative EEG, Event-Related Potentials and Neurotherapy, John Wiley.
  2. Abootalebi, V., Moradi, M H., Khalilzadeh, M., (2009). A new approach for EEG feature extraction in P300- based lie detection, Computer Methods and Programs in Biomedicine, vol. 94, pp. 48-5.
  3. Abootalebi, V., Moradi, M H., Khalilzadeh, M., (2006). A comparison of methods for ERP assessment in a P300- based GKT, International Journal of Psychophysiology, vol. 62, pp, 309-320.
  4. Meyer, E., Lopes Da Silva, F., (2000). Electroencephalography Basic Principles, clinical applications, and related fields, Lippincott Williams and Wilkins, Baltimore, Maryland, USA. 4th Ed.
  5. Meghdadi, AH., Akbarzadeh, M., (2001). Probabilistic fuzzy logic and probabilistic fuzzy systems, The 10th IEEE International Conference on Fuzzy Systems, vol.3, pp.1127 -1130.
  6. Meghdadi, AH., Akbarzadeh, M., (2003). Uncertainty modelling through probabilistic fuzzy systems, Fourth International Symposium on Uncertainty Modelling and Analysis (ISUMA 2003), pp.56-61.
  7. Meghdadi, A H., Akbarzadeh, M., (2001). Fuzzy modelling of human control strategy for over head crane, The 10th IEEE International Conference on Fuzzy Systems, vol.3, pp.1076-1079.
  8. Zhou, J., Zhang, X., (2005). “Video object segmentation and tracking using probabilistic fuzzy C-means , IEEE Workshop on Machine Learning for Signal Processing, pp. 201 - 206.
  9. Liu, Z., H. Li, H., (2005). A probabilistic fuzzy logic system for modelling and control, IEEE Transactions on Fuzzy Systems, vol.13, pp. 848 - 859.
  10. Van den Berg, J., Kaymak, J., (2002). Fuzzy classification using probability-based rule weighting, Proc. IEEE Int. Conference on Fuzzy Systems, FUZZIEEE'02, vol.2, pp. 991-996.
  11. Basar, E., M. Schurmann, M., (2001), Toward new theories of brain function and brain dynamics, International Journal of Psychophysiology, Vol. 39, pp. 87-89.
  12. Goldberg, D., (1989). Genetic algorithm in search, optimization and machine learning, Addison-Wesley, Readin.
  13. Roubos, J.A. , Setnes , M. , Abonyi, J. (2001). Learning fuzzy classification rules from data, Developments in Soft Computing, John, R. and Birkenhead, R., (Eds.), Springer - Verlag Berlin/Heidelberg, 108-115.
  14. Hoppner, F., Klawonn , F., Kruse , R., Runkler,T., (1999). Fuzzy Cluster Analysis Methods for Classification, Data Analysis and Image Recognition, John Wiley and Sons.
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Paper Citation


in Harvard Style

Jafarian A., Moradi M., Abootalebi V. and Jafarian M. (2012). SINGLE TRAIL P300 CLASSIFICATION VIA PROBABILISTIC FUZZY CLASSIFIER AND GENETIC ALGORITHM . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012) ISBN 978-989-8425-89-8, pages 174-179. DOI: 10.5220/0003706901740179


in Bibtex Style

@conference{biosignals12,
author={Amirhossein Jafarian and Mohammadhassan Moradi and Vahid Abootalebi and Mostafa Jafarian},
title={SINGLE TRAIL P300 CLASSIFICATION VIA PROBABILISTIC FUZZY CLASSIFIER AND GENETIC ALGORITHM},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)},
year={2012},
pages={174-179},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003706901740179},
isbn={978-989-8425-89-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)
TI - SINGLE TRAIL P300 CLASSIFICATION VIA PROBABILISTIC FUZZY CLASSIFIER AND GENETIC ALGORITHM
SN - 978-989-8425-89-8
AU - Jafarian A.
AU - Moradi M.
AU - Abootalebi V.
AU - Jafarian M.
PY - 2012
SP - 174
EP - 179
DO - 10.5220/0003706901740179