Brain machine interface: Classification of mental tasks using short-time PCA and recurrent neural networks

2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007

Volumn , Issue , 2007, Pages 1153-1156

  Hema, C R ^a   Paulraj, M P ^a   Yaacob, Sazali ^a   Adom, Abd Hamid ^a   Nagarajan, R ^a  

^a UNIVERSITY MALAYSIA PERLIS   (Malaysia)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; NEURAL NETWORKS; PATIENT REHABILITATION; PRINCIPAL COMPONENT ANALYSIS; REINFORCEMENT LEARNING; VEGETATION;

AR MODELS; BRAIN INTERFACES; CLASSIFICATION ACCURACIES; CLASSIFICATION PERFORMANCES; COGNITIVE FUNCTIONS; COMMUNICATION CHANNELS; COMMUNICATION PATHWAYS; EEG SIGNALS; ELECTRICAL ACTIVITIES; ELMAN RECURRENT NEURAL NETWORKS; EXTERNAL-; EXTRACTING FEATURES; HUMAN BRAINS; MACHINE INTERFACES; MENTAL TASKS; NEURODEGENERATIVE DISEASES; PRINCIPAL COMPONENTS; REHABILITATION METHODS; TESTING ERRORS;

RECURRENT NEURAL NETWORKS;

EID: 57949085694     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIAS.2007.4658565     Document Type: Conference Paper

References (15)

1. Jose Principe, "Brain Machine Interfaces: Mind over Matter", 2005. http://www.ece.ufl.edu/publications/Archives/inthenews/2005/brainmachine. html
2. Nai-Jen Huan and Ramaswamy Palaniappan, " Classification of Mental Tasks using Fixed and Adaptive Autoregressive Models of EEG Signals" IEEE EMBS Conference, 2004, pp 507-510.
3. D.G. Domenick, "International 10-20 Electrode Placement System for Sleep", 1998. http://members.aol.com/aduial/1020sys.html
4. Zachary A Keirn And Jorge I. Aunon , " A New Mode of Communication between Man and his Surroundings" IEEE Transactions on Biomedical Engineering, 1990, Vol. 37.no. 12. pp 1209-1214.
5. D.G. Domenick, "International 10-20 Electrode Placement System for Sleep", 1998. http://members.aol.com/aduial/1020sys.html
6. C.W. Anderson, Erik A. Stolz and Sanyogita Shamsunder , Discriminating Mental Tasks using EEG represented by AR Models', IEEE-EMBC and CMBEC , 1997 pp 875-876.
7. C.W. Anderson, James N. Knight, Tim O'Connor, Michael J Kirby, Artem Sokolov, 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, June 2006, pp142-146.
8. th International Conference on Pattern Recognition , 2004.
9. th Annual Internal. Conf. of IEEE EMBS, 2004, pp 4359-4362.
10. Vladimir Bostanov, "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, 2004, pp 1057- 1061.
11. Baikun WAN, Bikash DHAKAL, Hingzhi QI, Xin ZHU, " Multi-method Synthesizing to Detect and Classify Epileptic Waves in EEG", Proc. Fourth International Conference on Computer and Information Technology, 2004.
12. C.W. Anderson, S.V. Devulapalli and Erik A. Stolz, EEG Signal Classification with Different Signal Representation. IEEE 1995 pp 475- 482.
13. Andries P. Engelbrecht, Computational Intelligence An Introduction, John Wiley and Sons ltd. 2002.
14. S.N.Sivanandam, M.Paulraj, Introduction to Artificial Neural Networks Vikas Publishing House, India. 2003.
15. Hema C.R, Sazali Yaacob, Abd. Hamid Adom, Paulraj M.P., S. Palaniswami, 'Recognition of EEG Mental Tasks for a Brain Machine Interface' Proc. Of International Conference on Modeling and Simulation ,India, August 2007