Particle swarm optimization neural network based classification of mental tasks

IFMBE Proceedings

Volumn 21 IFMBE, Issue 1, 2008, Pages 883-888

  Hema, C R ^a   Paulraj, M P ^a   Yaacob, S ^a   Adom, A H ^a   Nagarajan, R ^a  

^a UNIVERSITY MALAYSIA PERLIS   (Malaysia)

Author keywords

Brain Machine Interfaces; EEG Signal Processing; PSO Neural Networks

Indexed keywords

BIOMEDICAL ENGINEERING; BIOMEDICAL SIGNAL PROCESSING; BRAIN COMPUTER INTERFACE; PARTICLE SWARM OPTIMIZATION (PSO);

BRAIN INTERFACES; BRAIN MACHINE INTERFACE; CLASSIFICATION PERFORMANCE; EEG SIGNAL PROCESSING; NEURAL DISORDERS; NOVEL ALGORITHM; PARTICLE SWARM OPTIMIZATION-NEURAL NETWORKS; TRAINING PROCEDURES;

RECURRENT NEURAL NETWORKS;

EID: 78349295217     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-69139-6_218     Document Type: Conference Paper

References (17)

1. Jose Principe, (2005) Brain Machine Interfaces: Mind over Matter, http://www.ece.ufl.edu/publications/Archives/inthenews/2005/brainmachine.html
2. Michal Teplan, (2002), Fundamentals of EEG Measurement, Measurement Science Review, Volume 2, Section 2 ,
3. Nai-Jen Huan and Ramaswamy Palaniappan,( 2004) Classification of Mental Tasks using Fixed and Adaptive Autoregressive Models of EEG Signals, IEEE EMBS Conference,, pp 507-510.
4. D.G. Domenick,( 1998) International 10-20 Electrode Placement System for Sleep,. http://members.aol.com/aduial/1020sys.html
5. Zachary A Keirn And Jorge I. Aunon ,(1990) A New Mode of Communication between Man and his Surroundings, IEEE Transactions on Biomedical Engineering, , Vol. 37.no. 12. pp 1209-1214.
6. C.W. Anderson, Erik A. Stolz and Sanyogita Shamsunder (1997), Discriminating Mental Tasks using EEG represented by AR Models', IEEE-EMBC and CMBEC , pp 875-876.
7. C.W. Anderson, James N. Knight, Tim O'Connor, Michael J Kirby, Artem Sokolov ( 2006) Geometric Sabspace Methods and Time - Delay Embedding for EEG Artifact Removal and Classification. IEEE Transactions on Neural Systems and Rehabilitation Engineering Vol 14 No. 2, pp142-146.
8. th International Conference on Pattern Recognition ,
9. th Annual Internal. Conf. of IEEE EMBS, pp 4359-4362.
10. Vladimir Bostanov, (2004 ) BCI Competition 2003- Data Set Ib and IIb: Feature Extraction from event Related Brain Potentials with the Continuos Wavelet Transform and t-Value Scalogram, IEEE Transactions on Biomedical Engineering, , pp 1057-1061.
11. Baikun WAN, Bikash DHAKAL, Hingzhi QI, Xin ZHU,( 2004.) Multi-method Synthesizing to Detect and Classify Epileptic Waves in EEG", Proc. Fourth International Conference on Computer and Information Technology,
12. C.W. Anderson, S.V. Devulapalli and Erik A. Stolz,( 1995) EEG Signal Classification with Different Signal Representation. IEEE pp 475- 482.
13. Andries P. Engelbrecht,(2002) Computational Intelligence An Introduction, John Wiley and Sons ltd..
14. James Kennedy and Russell Eberhart (1995) Particle Swarm Optimization, Proc. IEEE International Conf. on Neural Networks, Perth , Vol. 4, pp 1942-1948,
15. Yuhui Shi and Russell C. Eberhart(1998.) Paramter Selection in Particle Swarm Optimization, Evolutionary Programming, Springer Verlag, New York , Vol. 7 , pp 591-600,
16. S.N.Sivanandam, M.Paulraj (2003) Introduction to Artificial Neural Networks Vikas Publishing House, India..
17. Hema C.R., Sazali Yaacob, Abdul Hamid Paulraj M.P, R. Nagarajan, (2007 )Brain Machine Interface: Classification of Mental Tasks using Short-Time PCA and Recurrent Neural Networks' International Conference on Intelligent and Advanced Systems, Kuala Lumpur.