Essex BCIs Publications

BCI publications by group members while at Essex only

In reversed chronological order - updated on Sept. 06, 2009

Note: available papers are in pdf format

  Peer Reviewed Journal Papers

2009

  • R. Poli, L. Citi, C. Cinel, F. Sepulveda (2009)  'Reaction-time Binning: a Simple Method for Increasing the Resolving Power of ERP Averages'.  Psychophysiology, to appear.

  • R. Poli, L. Citi, F. Sepulveda, C. Cinel (2009) 'Analogue Evolutionary Brain Computer Interfaces'.  IEEE Computational Intelligence Magazine, to appear.

  • T. Geng, J.Q. Gan, and H. Hu, (2009) 'An EEG-based online brain computer interface for mobile robot control'. International Journal of Advanced Mechatronic Systems , to appear.

  • Y. Khan, F. Sepulveda (2009) ' Brain Computer Interface for single-trial EEG classification for wrist movement imagery using spatial filtering in the Gamma band '.  IET Signal Processing, to appear.

  • J.W. Yoon, S.J. Roberts, M. Dyson, and J.Q. Gan (2009)  'Adaptive classification for brain computer interface systems using sequential Monte Carlo sampling'. Neural Networks, to appear.

  • R. Palaniappan (2009) “Highly fraud resistant two-stage biometric authentication method using thought activity brain waves”. International Journal of Neural Systems, to appear.

  • T. Balli and R. Palaniappan (2009) “On the complexity and energy analyses in EEG between alcoholic and control subjects during delayed matching to sample paradigm”. International Journal on Computational Intelligence and Applications (special issue on Biomedical Signal Sensing and Intelligent Information Processing) – to appear.

  • C.N. Gupta, Y. Khan, R. Palaniappan, F. Sepulveda (2009) 'Wavelet Framework for Improved Target Detection in Oddball Paradigms Using P300 and Gamma Band Analysis'.  Int. Journal of Biomedical Soft Computing and Human Sciences, to appear.

  • M. Salvaris, F. Sepulveda (2009) 'Visual modifications on P300 speller BCI paradigm '.  Journal of Neural Engineering, 6 046011 (8pp)   doi: 10.1088/1741-2560/6/4/046011

  • C.S.L. Tsui, J.Q. Gan, and S.J. Roberts (2009) 'A self-paced brain-computer interface for controlling a robot simulator: An online event labelling paradigm and an extended Kalman filter based algorithm for online training'. Medical & Biological Engineering & Computing, vol. 47, no. 3, pp. 257-265.

2008

  • T. Geng, J.Q. Gan, M. Dyson, C.S.L. Tsui, F. Sepulveda (2008) 'A Novel Design of 4-Class BCI Using Two Binary Classifiers and Parallel Mental Tasks'.  Computational Intelligence and Neuroscience. Vol. 2008, Article ID 437306, 5 pages.

  • A. Vuckovic, F. Sepulveda (2008) 'Delta Band Contribution in Cue Based Single Trial Classification of Real and Imaginary Wrist Movements".  Medical & Biological Engineering & Computing, vol. 46(6):529-539.   download

  • A. Vuckovic, F. Sepulveda (2008) 'Quantification and Visualisation of Differences between Two Motor Tasks Based on Energy Density Maps for BCI Applications'. Clin. Neurophys., Vol. 119(2): 446-458.  download

  • L. Citi, R. Poli, C. Cinel, F. Sepulveda (2008)  'P300-based BCI Mouse with Genetically-optimised Analogue Control'.  IEEE Trans. Neur. Sys. Rehab. Eng., vol. 16(1):51 - 61.   download

  •  S.-M. Zhou, J.Q. Gan, and F. Sepulveda (2008) “Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface'. International Journal of Information Sciences, vol. 178, no. 6, pp.1629-1640.  download

  • S. Andrews, R. Palaniappan, A. Teoh and L. C. Kiong, “Enhancing P300 component by spectral power ratio principal components for a single trial brain-computer interface,” American Journal of Applied Sciences, vol. 5, no. 6, pp. 639-644, 2008.

2007

  • C. N. Gupta and R. Palaniappan (2007) 'Enhanced detection of visual evoked potentials in brain-computer interface using genetic algorithm and cyclostationary analysis,” special issue on Brain-Computer Interfaces: Towards Practical Implementations and Potential Applications, Journal of Computational Intelligence and Neuroscience, doi:10.1155/2007/28692.

  • R. Palaniappan, and D. P. Mandic (2007) “Biometric from the brain electrical activity: A machine learning approach,” IEEE Transactions on Pattern Analysis and Machine Intelligence (special issue on biometrics), pp 738-742, vol. 29, no. 4.

  • R. Palaniappan, and D. P. Mandic, “EEG Based Biometric Framework for Automatic Identity Identification,” International Journal of VLSI Signal Processing
    Systems (Special issue on Data Fusion for Medical, Industrial, and Environmental Applications), pp.243-250, no. 49, 2007.

2006

  • R.Palaniappan (2006) 'Utilizing Gamma Band to Improve Mental Task Based Brain-Computer Interface Design'.    IEEE Trans. Neur. Sys. Rehab. Eng., vol. 14(3):299-303.

  • R. Palaniappan (2006) “Single trial visual event related potential extraction by negentropy maximisation of independent components", WSEAS Transactions on Signal Processing, pp. 512-517, vol. 2, issue 4.

  • R. Palaniappan (2006) “Towards Optimal Model Order Selection for Autoregressive Spectral Analysis of Mental Tasks Using Genetic Algorithm,” International Journal of Computer Science and Network Security, pp.153-162, vol. 6, no. 1A.

  • R. Palaniappan, “Multiple mental thought parametric classification: a new approach for individual identification,” International Journal of Signal Processing, pp. 222-225, vol. 2, no. 3, 2005.

  • R. Palaniappan and KVR. Ravi, “Improving visual evoked potential feature classification for person recognition using PCA and normalization,” Pattern Recognition Letters, pp.726-733, vol.27, issue 7, 2006.

  • K.V.R. Ravi and R. Palaniappan, “Neural network classification of late gamma band electroencephalogram features,” Soft Computing, pp. 163-169, vol. 10, no.2, 2006.

  • K.V.R. Ravi, R. Palaniappan, and S.H. Heng, “Simplified fuzzy ARTMAP classification of individuals using optimal VEP channels”, International Journal of Knowledge-Based and Intelligent Engineering Systems, pp. 445-452, vol. 10, no. 6, 2006.

2005

  • S. Andrews, N. Kamel, D. Ngo, and R. Palaniappan, “Appropriate Normalisation for Selective Eigen Rate Method in Separating Principal Components of VEP and EEG in BCI,” Multimedia Cyberscape Journal (special issue on Multimedia Data Processing and Compression), pp. 1-6, vol.3 no.4, 2005.

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  Book Chapters

  • F. Sepulveda (2009) 'An overview of BMIs'.  Chapter in L. Rossini, D. Izzo and L. Summerer, editors: 'Brain-machine interfaces for space applications: Enhancing astronaut capabilities'. International Review of Neurobiology, Vol. 86, Burlington: Academic Press, 2009, pp. 93-106. ISBN: 978-0-12-374821-8. 

  • R. Palaniappan and L. M. Patnaik, “Identity Verification Using Resting State Brain Signals” book chapter published in M. Quigley (ed.): “Encyclopedia of Information Ethics and Security,” pp.335-341, Information Science Reference, IGI Global, Hershey, PA, 2008. 

  • R. Palaniappan, C.S. Syan and P. Raveendran, “Current practices in electroencephalogram based brain-computer interfaces,” book chapter published in M. Khosrow-Pour (ed.): “Encyclopedia of Information Science and Technology, 2nd ed.,” IGI Global, Hershey, PA, USA, 2008 [in press].

  • C. N. Gupta and R. Palaniappan, “Biometric paradigm using visual evoked potential,” book chapter published in M. Khosrow-Pour (ed.): “Encyclopedia of Information Science and Technology, 2nd ed.,” IGI Global, Hershey, PA, USA, 2008 [in press].

  • T. Balli and R. Palaniappan, “Nonlinear approach to brain signal modelling,” book chapter published in M. Khosrow-Pour (ed.): “Encyclopedia of Information Science and Technology, 2nd ed.,” IGI Global, Hershey, PA, USA, 2008 [in press]. 

  • R. Palaniappan, “Electroencephalogram signals from imagined activities: a novel biometric identifier for a small population,” book chapter published in E. Corchado et al. (eds): “Intelligent Data Engineering and Automated Learning – IDEAL 2006”, Lecture Notes in Computer Science, vol. 4224, pp. 604-611, Springer-Verlag, Berlin Heidelberg, 2006. 

  • R. Palaniappan, and D. P. Mandic, “Energy of brain potentials evoked during visual stimulus: a new biometric?,” book chapter published in W. Duch, J.Kacprzyk, E.Oja and S.Zadrozny (eds.): “Artificial Neural Networks: Formal Models and Their Applications - ICANN 2005,” Lecture Notes in Computer Science, vol. 3697, pp.735–740, Springer-Verlag, Berlin Heidelberg, 2005.

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  Peer Reviewed Papers in Conference Proceedings

2009

  • Wilson J J and Palaniappan R (2009) Augmenting a SSVEP BCI through single cycle analysis and phase weighting. In: Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on, pp 371-4.

  • B. Awwad Shiekh Hasan and J.Q. Gan, “Sequential EM for unsupervised adaptive Gaussian mixture model based classifier,” Int. Conf. on Machine Learning and Data Mining, Leipzig, Germany, 2009

  • B. Awwad Shiekh Hasan and J.Q. Gan, “Unsupervised adaptive GMM for BCI,” International IEEE EMBS Conf. on Neural Engineering, Antalya, Turkey, 2009, pp. 295-298.

  • M. Dyson, F. Sepulveda, J.Q. Gan, and S.J. Roberts, “Sequential classification of mental tasks vs. idle,” International IEEE EMBS Conf. on Neural Engineering, Antalya, Turkey, 2009, pp. 351-354.

  • M. Asghari Oskoei, J.Q. Gan, and H. Hu, "Adaptive schemes applied to online SVM for BCI data classification," Annual International Conference of IEEE Engineering in Medicine and Biology Society, Minnesota, USA, 2009.

2008

  • C.S.L. Tsui and J.Q. Gan, “Comparison of three methods for adapting LDA classifiers with BCI applications,” The 4th International Workshop on Brain-Computer Interfaces, Graz, Austria, 2008, pp. 116-121.

  • M. Dyson, T. Balli, J.Q. Gan, R. Palaniappan, and F. Sepulveda, “Approximate entropy for EEG-based movement detection,” The 4th International Workshop on Brain-Computer Interfaces, Graz, Austria, 2008, pp.110-115.

  • T. Geng and J.Q. Gan, “Towards a virtual 4-class synchronous BCI using motor prediction and one motor imagery,” The 4th International Workshop on Brain-Computer Interfaces, Graz, Austria, 2008, pp. 203-207.

  • A. Vuckovic, F. Sepulveda (2008) 'A four-class BCI based on motor imagination of the right and the left hand wrist '. First International Symposium on Applied Sciences on Biomedical and Communication Technologies, 2008. ISABEL '08.  Aalborg, DK, 25-28 Oct. 2008, 4 pages. Digital Object Identifier   10.1109/ISABEL.2008.4712628

  • T. Geng, J.Q. Gan, and H. Hu, “A self-paced online BCI for mobile robot control,” Sino-European Workshop on Intelligent Robots and Systems, Chongqing, China, 2008.

  • B. Awwad Shiekh Hasan, M. Dyson, T. Balli, and J.Q. Gan, “A study via feature selection on the separability of approximate entropy for brain-computer interfaces,” The UK Workshop on Computational Intelligence (UKCI2008), De Montfort, UK, 2008, pp. 189-194.

  • J.W. Yoon, S.J. Roberts, M. Dyson, and J.Q. Gan, “Sequential Bayesian estimation for adaptive classification,” IEEE Int. Conf. on Multisensor Fusion and Integration for Intelligent Systems (MFI2008), Seoul, Korea, 2008, pp. 601-605. J.W.

  • Yoon, S.J. Roberts, M. Dyson, and J.Q. Gan, “Adaptive classification by hybrid EKF with truncated filtering: Brain computer interfacing,”International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2008), Daejeon, Korea, 2008. Lecture Notes in Computer Science, vol. 5326/2008, pp. 370-377.

  • T. Balli and R. Palaniappan, “EEG time series analysis with exponential autoregressive modelling,” IEEE Canadian Conference on Electrical and Computer Engineering, Niagara Falls, Ontario, Canada, 4-7 May 2008.

  • A. Agapitos, M. Dyson, S. Lucas, F. Sepulveda (2008) 'Learning to Recognise Mental Activities: Genetic Programming of Stateful Classifiers for Brain-Computer Interfacing'. Proceedings of the Genetic and Evolutionary Computation Conference,   GECCO 2008, Atlanta.

  • C.N. Gupta, J.J. Wilson, R. Palaniappan, and C.S. Syan, “Single trial P300 amplitude for pass-code brain-machine interface design,” International Conference on Advanced Computing, Chikhli, Maharashtra, India, 21-22 February 2008.

  • C.N. Gupta, R. Palaniappan, and S. Swaminathan, “Novel P300 Paradigm - Moving Towards Brain Biometric Systems,” Book of Abstracts, International Symposium of Global trends in BioMedical Informatics Research, Education and Commercialization, Chennai, India, p. 38, 11-12 January 2008.

2007

  • T. Geng and J.Q. Gan, “A 3-class asynchronous BCI for controlling mobile robots,” MAIA BCI Workshop – BCI Meets Robotics: Challenging Issues in Brain-Computer Interaction and Shared Control, Leuven, Belgium, 2007, p. 33

  • F. Sepulveda, M. Dyson, J.Q. Gan, C.S.L. Tsui  'A Comparison of Mental Task Combinations for Asynchronous EEG-Based BCIs'.  29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society  EMBC07, Lyon, August 22-26, 2007, pp. 5055-5058.

  • M. Salvaris, F. Sepulveda, 'Robustness of the Farwell & Donchin BCI protocol to visual stimulus parameter changes'. 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society  EMBC07, Lyon, August 22-26, 2007.

  • T. Geng, M. Dyson, J.Q. Gan, C.S.L. Tsui  'A 3-Class Asynchronous BCI Controlling a Simulated Mobile Robot'. 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society  EMBC07, Lyon, August 22-26, 2007, 2524-2527.

  • C.S.L. Tsui and J.Q. Gan, "Asynchronous BCI control of a robot simulator with supervised online training," International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2007), Birmingham, UK, 2007, pp. 125-134.

  • C.S.L. Tsui, P. Jia, J.Q. Gan, H. Hu, and K. Yuan, "EMG-based hands-free wheelchair control with EOG attention shift detection," IEEE International Conference on Robotics and Biomimetics (ROBIO2007), Sanya, China, 2007, pp. 1266-1271.

  • K.V.R. Ravi, and R. Palaniappan, “A minimal channel set for individual identification with EEG biometric using genetic algorithm,” Proceedings of International Conference on Computational Intelligence and Multimedia Applications (ICCIMA07), Sivakasi, India, vol. II, pp. 328-333, 13-15 December 2007 (DOI 10.1109/ICCIMA.2007.82).

  • K.V.R. Ravi, R. Palaniappan, C. Eswaran and S. Phon-Amnuaisuk “Data encryption using event-related brain signals,” Proceedings of International Conference on Computational Intelligence and Multimedia Applications (ICCIMA07), Sivakasi, India, vol. I, pp. 540-544, 13-15 December 2007 (DOI 10.1109/ICCIMA.2007.178).

  • S. Andrews, A. Teoh, L. C. Kiong and R. Palaniappan, “Combinational component selection for single trial analysis of visual evoked potential signals for brain computer interface,” Proceedings of 3rd International Colloquium on Signal Processing and its Applications, Melaka, Malaysia, pp.107-109, 9 - 11 March 2007.

  • R. Palaniappan, “Improving Evoked Potential Brain-Computer Interface Design Using Mutation Based Genetic Algorithm”, Proceedings of 1st Indian Conference on Computational Intelligence and Information Security, Madurai, India, pp. 104-108, 25 January 2007.

2006

  • A. Vuckovic, F. Sepulveda, “EEG gamma band information in cue-based single trial classification of four movements about the right wrist”, Challenging Brain-Computer Interfaces, MAIA Workshop, Rome, Italy,  Nov. 9-10, 2006, p. 54.

  • T. Geng, J.Q. Gan, M. Dyson, C.S.L. Tsui, and F. Sepulveda, "EEG-based synchronous parallel BCI," Challenging Brain-Computer Interfaces,  MAIA Workshop, Rome, Italy,  Nov. 9-10, 2006, p. 41.

  • A. Vuckovic, F. Sepulveda, “EEG Single-trial classification of four classes of imaginary wrist movements based on Gabor coefficients”, 3rd International Workshop on Brain-Computer Interfaces , Graz, Austria, 2006, pp.26-27.

  • J.Q. Gan, "Self-adapting BCI based on unsupervised learning," 3rd International Workshop on Brain-Computer Interfaces, Graz, Austria, 2006, pp. 50-51.

  • J.Q. Gan, "Feature dimensionality reduction by manifold learning in brain-computer interface design,"  3rd International Workshop on Brain-Computer Interfaces, Graz, Austria, 2006, pp. 28-29.

  • C.S.L. Tsui, A. Vuckovic, R. Palaniappan, F. Sepulveda, and J.Q. Gan, "Narrow band spectral analysis for movement onset detection in asynchronous BCI," 3rd International Workshop on Brain-Computer Interfaces, Graz, Austria, 2006, pp. 30-31.

  • B. Hubais, F. Sepulveda, I Navarro,. ”Crossectional investigation of wrist movement intention classification in EEG signals”, 3rd International Workshop on Brain-Computer Interfaces, Graz, Austria, 2006, pp.38-39.

  • C. Menon, C. Negueruela, J. del Millan, O. Tonet, F. Carpi, M. Broschar, P. Ferrez, A. Buttfield, P. Dario, L. Citi, C. Laschi, M. Tombini, F. Sepulveda, R. Poli, F. Tecchio, P. Rossini, D. de Rossi.  ‘Prospective on Brain-Machine Interfaces  for Space System Control’.  57th Astronautical Congress, Spain, Oct. 2-6, 2006.

  • R.Palaniappan, “Minimising mutual information using genetic algorithm for single trial P300 component extraction,” 18th international EURASIP Biosignal conference, Brno, Czech Republic, 28-30 June, 2006.

  • H. Lakany, P. Worrarjiran, G. Valsan, B. Conway (2006) 'On feature selection for brain computer interfaces'.  Abstracts of the 28th International Congress of Clinical Neurophysiology. 

  • R. Palaniappan, S.M. Krishnan and C. Eswaran, “Improving Simplified Fuzzy ARTMAP Performance Using Genetic Algorithm for Brain Fingerprint Classification,” 14th International Conference on Advanced Computing and Communications, Mangalore, India, 20-23 December 2006.

  • T. Balli, R. Palaniappan, and D. P. Mandic, “On the linearity/non-linearity of mental activity EEG for brain-computer interface design,” IFMBE Proceedings of 3rd Kuala Lumpur International Conference on Biomedical Engineering, Kuala Lumpur, Malaysia, pp. 451-454, part 10, vol. 15, December 11-14, 2006.

  • R. Palaniappan, “Vision Related Brain Activity for Biometric Authentication,” Proceedings of 32nd Annual Conference of the IEEE Industrial Electronics Society, Paris, France, pp. 3227-3231, Nov. 7-10, 2006.

  • R. Palaniappan and C. N. Gupta, “Genetic algorithm based independent component analysis to separate noise from Electrocardiogram signals,” Proceedings of IEEE International Conference on Engineering of Intelligent Systems, Islamabad, Pakistan, pp. 1-5, 22-23 April 2006.

  • R. Palaniappan, “EEG biometrics: a fact not fiction,” Annual Presentations by Britain’s Top Younger Scientists, Engineers and Technologists, UK National Science Week 2006, House of Commons, London, 13 March 2006, abstract published in Book of Abstracts, pp. 56-57.

2005

  • R. Palaniappan and N. Huan, “Improving the performance of two-state mental task brain-computer interface design using linear discriminant classifier,” EUROCON 2005 conference, Belgrade, Serbia & Montenegro, 21-24 November, 2005.

  • I. Navarro, F. Sepulveda, B. Hubais (2005)    'A Comparison of Time, Frequency and ICA Based Features and Five Classifiers for Wrist Movement Classification in EEG Signals'.    27th Conference of the  IEEE Engineering in Medicine and Biology Society, Shanghai. download

  • R.Palaniappan (2005)   'Brain Computer Interface Design Using Band Powers Extracted During Mental Tasks'  2nd International IEEE EMBS Conference on Neural Engineering, Arlington, Virginia, USA, pp. 321-324, 16-19.  download

  • R. Palaniappan, “Identifying individuality using mental task based brain computer interface,” Proceedings of 3rd International Conference on Intelligent Sensing and Information Processing, Bangalore, India, pp. 239-242, 13-17 December, 2005.

  • P. Sharmilakanna, and R. Palaniappan, “EEG artifact reduction in VEP using 2-stage PCA and N4 analysis of alcoholics,” Proceedings of 3rd International Conference on Intelligent Sensing and Information Processing, Bangalore, India, pp.2-7, 13-17 December, 2005.

  • KVR. Ravi, and R. Palaniappan, “Leave-one-out authentication of persons using 40 Hz EEG oscillations,” EUROCON 2005 conference, Belgrade, Serbia & Montenegro, vol. 2, pp.1386-1389, 21-24 November, 2005.

  • R. Palaniappan, D. P. Mandic, and D. Obradovic, “On decision making ability of subjects with long-term intoxicant consumption using single trial visual evoked potential signals,” EUROCON 2005 conference, Belgrade, Serbia & Montenegro, vol. 1, pp.413-416, 21-24 November, 2005.

  • S. Andrews, R. Palaniappan, and N. Kamel, “Single trial VEP source separation through sandwich spectral power ratio method,” 1st International Conference on Computer, Communications and Signal Processing with Special Track on Biomedical Engineering, Kuala Lumpur, Malaysia, pp.1-4, 14-16 November, 2005.

  • S. Andrews, N. Kamel, and R. Palaniappan, “Overcoming accuracy deficiency of filterations in source separation of visual evoked potentials by using principal component analysis,” Abstracts of International Science Congress, Kuala Lumpur, Malaysia, p. 344, 3-6 August, 2005.

  • R. Palaniappan, and N. Huan, “Effects of hidden unit sizes and autoregressive features in mental task classification”, 5th International Enformatika Conference, Prague, Czech Republic, 26-28 August 2005, published in Enformatika Transactions on Engineering, Computing and Technology, vol. 7, pp. 288-293, August 2005.

  • S. Andrews, R. Palaniappan, and N. Kamel, “Single trial VEP source separation by selective eigen rate principal components,” 5th International Enformatika Conference, Prague, Czech Republic, 26-28 August 2005, published in Enformatika Transactions on Engineering, Computing and Technology, vol. 7, pp. 330-333, August 2005.

  • R. Palaniappan, “Discrimination of alcoholic subjects using second order autoregressive modelling of brain signals evoked during visual stimulus perception,” 5th International Enformatika Conference, Prague, Czech Republic, 26-28 August 2005, published in Enformatika Transactions on Engineering, Computing and Technology, vol. 7, pp. 282-287, August 2005.

  • KVR. Ravi, and R. Palaniappan, “Recognising individuals using their brain patterns,” Proceedings of International Conference on Information Technology and Applications, Sydney, Australia, pp.520-523, vol. 2, 4-7 July, 2005.

  • P. Sharmilakanna, and R. Palaniappan, “Noise reduction in visual evoked potential signals using two-levels of principal component analysis,” Book of abstracts, 1st UAE International Conference on Biological and Medical Physics, p.30, 27-30 March, 2005.

  • N. Huan and R. Palaniappan, “Classification of mental tasks using fixed and adaptive autoregressive models of EEG signals,” Proceedings of 2nd International IEEE EMBS Conference on Neural Engineering, Arlington, Virginia, USA, pp. 633-636, 16-19 March, 2005.

2004

  • F. Sepulveda, M. Meckes, B.A. Conway (2004) 'Cluster Separation Index Suggests Usefulness of Non-Motor EEG Channels in Detecting Wrist Movement Direction Intention' .  Proceedings of the 2004 IEEE Conference on Cybernetic and Intelligent Systems. download

  • L. Citi, R. Poli, C. Cinel, F. Sepulveda  (2004)  'Feature Selection and Classification in Brain Computer Interfaces by a Genetic Algorithm'. Proceedings of the Genetic and Evolutionary Computation Conference - GECCO 2004, Seatle. download

  • S.M. Zhou, J.Q. Gan, F. Sepulveda (2004)   'Using Higher-Order Statistics from EEG Signals for Developing Brain-Computer Interface (BCI) Systems'. Proceedings of the 2004 UK Workshop on Computational Intelligence, 6-8 September 2004, Loughborough University.

  • C. Cinel, R. Poli, L. Citi (2004) 'Possible sources of perceptual errors in p300-based speller paradigm'.  Proceedings of the 2nd International Brain-Computer Interface Workshop and Training Course 2004, Graz.. download

  • M. Meckes, F. Sepulveda, B.A. Conway (2004)  '1st Order Class Separability using EEG-Based Features for Classification of Wrist Movements with Direction Selectivity'.  Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Francisco. download

  • L. Citi, R. Poli, F. Sepulveda (2004)   'An Evolutionary Approach to Feature Selection and Classification in a P300-Based BCI'.  Proceedings of the 2nd International Brain-Computer Interface Workshop and Training Course 2004, Graz. download

 

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(E-mail: fsepulv) on Aug. 06, 2008