Publications

Books (free to download)

1. R. Palaniappan, “Biological Signal Analysis,” Ventus Publishing, Denmark, 2010. http://bookboon.com/uk/student/electro/introduction-to-biological-signal-analysis

2. R. Palaniappan, “Digital Systems Design,” Ventus Publishing, Denmark, 2011. http://bookboon.com/uk/textbooks/it-programming/digital-systems-design

Journals (accepted/published)

3. C. S. Syan, R. E. S. Harnarinesingh and R. Palaniappan, “Improving classification accuracy using intra-session classifier training and implementation for a BCI based on automated parameter selection,” Int. J. Intelligent Systems Technologies and Applications [in press].

4. E. Miranda, W.L. Magee, J.J. Wilson, J. Eaton, and R. Palaniappan, “Brain-computer music interfacing: From basic research to the real world of special needs,” Music and Medicine [in press].

5. J. Wilson and R. Palaniappan, “Analogue mouse pointer control via an online steady state visual evoked potential (SSVEP) brain-computer interface,” Journal of Neural Engineering [in press].

6. R. Palaniappan and K. Revett, “PIN generation using EEG: A stability study,” International Journal of Cognitive Biometrics [in press].

7. T. Wissel and R. Palaniappan, “Considerations on strategies to improve EOG signal analysis,” International Journal of Artificial Life Research [in press].

8. T. Balli and R. Palaniappan, “Classification of biological signals using linear and nonlinear features,” Physiological Measurement, vol. 31, pp. 903-920, 2010.

9. R. Palaniappan and C. Eswaran, “Using genetic algorithm to select the presentation order of training patterns that improves simplified fuzzy ARTMAP classification performance,” Applied Soft Computing, vol.9, no.1, pp. 100-106, 2009.

10. C.N. Gupta, Y.U. Khan, R. Palaniappan, and F. Sepulveda, “Wavelet framework for improved target detection in oddball paradigms using P300 and gamma band analysis,” special issue on Bio-signals: Data Acquisition, Processing and Control, International Journal of Biomedical Soft-computing and Human Sciences, vol.14, no. 2, pp.61-67, 2009.

11. C.N. Gupta, R. Palaniappan, and S. Swaminathan, “On the analysis of various techniques for a novel brain biometric system,” International Journal of Medical Engineering and Informatics, vol. 1, issue 2, pp. 266 – 273, 2008.

12. R. Palaniappan, “Two-stage biometric authentication method using thought activity brain waves,” International Journal of Neural Systems, vol. 18, issue 1, pp.59-66, 2008.

13. T. Balli and R. Palaniappan, “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), vol. 7, no. 3, pp. 301-315, 2008.

14. R. Palaniappan, and D. P. Mandic, “EEG Based Biometric Framework for Automatic Identity Identification,” International Journal of VLSI Signal Processing Systems for Signal, Image and Video Technology (special issue on Data Fusion for Medical, Industrial, and Environmental Applications), vol. 49, no.2, pp. 243-250, 2007.

15. C. N. Gupta and R. Palaniappan, “Enhanced detection of visual evoked potentials in brain-computer interface using genetic algorithm and cyclostationary analysis,” Computational Intelligence and Neuroscience (special issue on Brain-Computer Interfaces: Towards Practical Implementations and Potential Applications), vol. 2007, Article ID 28692, 12 pages, 2007, DOI:10.1155/2007/28692.

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

17. 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.

18. R. Palaniappan, “Utilizing gamma band spectral power to improve mental task based brain computer interface design,” IEEE Transactions of Neural Systems and Rehabilitation Engineering, pp. 299-303, vol. 14, no. 3, 2006.

19. C. N. Gupta, R. Palaniappan, S. Swaminathan, and S. M. Krishnan, “Neural network classification of homomorphic segmented heart sounds,” Applied Soft Computing, vol. 7, issue 1, January 2007, pp. 286-297.

20. 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.

21. 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.

22. R. Palaniappan, C. N. Gupta, S. M. Krishnan, “Neural network classification of premature heart beats,” Multimedia Cyberscape Journal (special issue on Multimedia Data Processing and Compression), pp.7-11, vol.3 no.4, 2005.

23. 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.

24. M. S. Arumugam, M.V.C. Rao, and R. Palaniappan, “New hybrid genetic operators for real coded genetic algorithm to compute optimal control of a class of hybrid systems,” Applied Soft Computing, pp.38-52, vol.6, no.1, 2005.

25. KVR. Ravi, C. N. Gupta, and R. Palaniappan, “Classifying brain prints using grow and learn neural network,” Multimedia Cyberscape Journal (special issue on Pattern Recognition in Biometrics and Bioinformatics), pp. 54-59, vol. 3, no.3, 2005.

26. N.-J. Huan and R. Palaniappan, “Neural network classification of autoregressive features from electroencephalogram signals for brain-computer interface design,” Journal of Neural Engineering, pp. 142-150, vol. 1, 2004. (featured article 2004)

27. N. Huan and R. Palaniappan, “Brain computer interface design using mental task classification”, Multimedia Cyberscape Journal, pp. 35-43, vol.1, 2004.

28. R. Palaniappan, “Method of identifying individuals using VEP signals and neural network,” IEE Proceedings - Science, Measurement and Technology, pp. 16-20, vol. 151, no. 1, 2004.

29. R. Palaniappan, P. Raveendran and S. Nishida, “Multi-channel noise reduced visual evoked potential analysis,” IEE Japan Transactions on Electronics, Information and Systems, pp. 1721-1727, vol. 123, no. 10, 2003.

30. P. Sharmilakanna and R. Palaniappan, “Neural network classification of alcohol abusers using power in gamma band frequency of VEP signals”, Multimedia Cyberscape Journal, pp. 142-149, vol. 1, 2003.

31. R. Palaniappan and P. Raveendran, “Individual identification technique using visual evoked potential signals,” Electronics Letters, pp.1634-1635, vol.38, issue 25, 2002.

32. R. Palaniappan, P. Raveendran, S. Nishida and N. Saiwaki, “A new brain-computer interface design using fuzzy ARTMAP,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, pp.140-148, vol. 10, issue 3, 2002.

33. R. Palaniappan and P. Raveendran “Using genetic algorithm to identify the discriminatory subset of multi-channel spectral bands for visual response”, Applied Soft Computing, pp. 48-60, vol. 2, Issue 1, 2002.

34. R. Palaniappan, P. Raveendran and S. Omatu, “VEP optimal channel selection using genetic algorithm for neural network classification of alcoholics,” IEEE Transactions on Neural Networks, pp.486-491, vol. 13, issue 2, 2002.

35. R. Palaniappan and P. Raveendran “Recursive digital filter for fast visual evoked potential estimation and classification”, Electronics Letters, pp.990-992, vol. 37, no. 15, 2001.

36. P. Raveendran, R. Palaniappan and S. Omatu, “Fuzzy ARTMAP classification of invariant features derived using angle of rotation from a neural network”, Information Sciences: an International Journal, pp.67-84, vol.130, issue 1-4, 2000.

37. R. Palaniappan, P. Raveendran and S. Omatu, “New invariant moments for non-uniformly scaled images”, Pattern Analysis and Applications (special issue on Document Image Analysis and Recognition), pp. 78-87, vol.3, issue 2, 2000.

38. R. Palaniappan, P. Raveendran and S. Omatu, “Neural network classification of symmetrical and non-symmetrical images using new moments with high noise tolerance”, International Journal of Pattern Recognition and Artificial Intelligence (special issue on Invariants for Pattern Recognition and Classification), pp. 1233-1250, vol.13, no. 8, 1999.

39. R. Paramesran, P. Ramaswamy and S. Omatu, “Regular moments for symmetric images”, Electronics Letters, pp.1481–1482, vol. 34, no.15, 1998.

Book chapters

40. R. Palaniappan, J. Gosalia, K. Revett and A. Samraj, “PIN generation using single channel EEG biometric,” in A. Abraham, et al. (Eds): Springer in Communications in Computer and Information Science Series, vol. 193, part IV, pp. 378-385, 2011.

41. R. Palaniappan, C.S. Syan and P. Raveendran, “Current practices in electroencephalogram based brain-computer interfaces,” published in M. Khosrow-Pour (ed.): “Encyclopedia of Information Science and Technology, 2nd ed.,” pp. 888-901, vol. II, IGI Global, Hershey, PA, USA, 2009.

42. C. N. Gupta and R. Palaniappan, “Biometric paradigm using visual evoked potential,” published in M. Khosrow-Pour (ed.): “Encyclopedia of Information Science and Technology, 2nd ed.,” pp. 362-368, vol. I, IGI Global, Hershey, PA, USA, 2009.

43. T. Balli and R. Palaniappan, “Nonlinear approach to brain signal modelling,” published in M. Khosrow-Pour (ed.): “Encyclopedia of Information Science and Technology, 2nd ed.,” pp. 2834-2839, vol. VI, IGI Global, Hershey, PA, USA, 2009.

44. R. Palaniappan, “Electroencephalogram signals from imagined activities: A novel biometric identifier for a small population,” 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.

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

46. R. Palaniappan, and D. P. Mandic, “Energy of brain potentials evoked during visual stimulus: A new biometric?,” 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.

47. R. Palaniappan, P. Raveendran and S. Omatu, “Improved moment invariants for invariant image representation”, published in M.A. Rodrigues (ed.): “Invariants for Pattern Recognition and Classification, series in Machine Perception and Artificial Intelligence”, Chapter 9, pp.167-185, World Scientific Publishing Co., 2000.

Conferences

48. J. Asensio, J.Q. Gan, and R. Palaniappan " A study on temporal segmentation strategies for extracting common spatial patterns for brain computer interfacing, the 11th Annual Workshop on Computational Intelligence, Manchester, UK, 7-9 Sept 2011, pp. 98-102.

49. R. E. S. Harnarinesingh, C. S. Syan, and R. Palaniappan, "Automation of pre-processing and feature extraction parameter selection for a single-trial P300-based brain-computer interface using a genetic algorithm," 26th International Conference of CAD/CAM, Robotics & Factories of the Future (CARS&FOF 2011), Kuala Lumpur, Malaysia, 26-28 July 2011.

50. J. Asensio, E. Galvan, R. Palaniappan, and J.Q. Gan, "Wavelet design by means of multi-objective GAs for motor imagery EEG analysis," 5th International Brain-Computer Interface Conference, Graz, Austria, 22-24 Sept 2011, pp. 60-63.

51. R. Palaniappan, “On low frequency entrainment using auditory steady state responses,” Abstract, Biomedical Engineering Society Annual Meeting, Hartford, Connecticut, USA, 12-15 October 2011.

52. J.J. Wilson and R. Palaniappan, “Phase segment analysis alleviates contamination from similar frequency targets in a 35 target phase discriminating SSVEP BCI,” International UKIERI Workshop on Fusion of Brain-Computer Interface and Assistive Robotics, Derry, UK, 7-8 July 2011.

53. C. N. Gupta and R. Palaniappan, “On the selection of dataset for online classifier training," International UKIERI Workshop on Fusion of Brain-Computer Interface and Assistive Robotics, Derry, UK, 7-8 July 2011.

54. C. N. Gupta and R. Palaniappan, “Reducing power spectral density of eye blink artifact through improved genetic algorithm, International Conference on Bioinformatics and Biomedical Technology, Sanya, China, 25-27 March 2011.

55. J. J. Wilson and R. Palaniappan, “Analogue Mouse Pointer Control via a Online BCI using SSVEP,” Abstract published in BCI meeting, Monterey, California, 31 May -4 June 2010.

56. N. G. Cota and R. Palaniappan, “EOG artifact correction for brain-computer interface application using GALME-ICA,” Abstract published in BCI meeting, Monterey, California, 31 May - 4 June 2010.

57. T. Balli and R. Palaniappan, “Improved Feature Set for Mental Task EEG Based BCI,” Abstract published in BCI meeting, Monterey, California, 31 May - 4 June 2010.

58. S. Andrews, R. Palaniappan, L. C. Kiong and N. Mastorakis, “Singular value decomposition based feature classification for single trial brain-computer interface design,” Proceedings of the 13th WSEAS International Conference on Computers, part of 13th WSEAS CSCC Multiconference, Rodos (Rhodes) Island, Greece, July 22-25, 2009, pp.46-53.

59. J. J. Wilson and R. Palaniappan, “Augmenting a SSVEP BCI through single cycle analysis and phase weighting,” 4th International IEEE EMBS Conference on Neural Engineering, Antalya, Turkey, 29 April – 2 May, 2009, pp.371-374.

60. T. Balli and R. Palaniappan, “A combined linear & nonlinear approach for classification of epileptic EEG signals,” 4th International IEEE EMBS Conference on Neural Engineering, Antalya, Turkey, 29 April – 2 May, 2009, pp.714-717.

61. T. Balli, R. Palaniappan and J. Bhattacharya, “Minimising prediction error for optimal nonlinear modelling of EEG signals using genetic algorithm,” 4th International IEEE EMBS Conference on Neural Engineering, Antalya, Turkey, 29 April – 2 May, 2009, pp.363-366.

62. M. Dyson, T. Balli, J. Q. Gan, F. Sepulveda, R. Palaniappan, “Approximate Entropy for EEG-based Movement Detection,” 4th International Brain-Computer Interface Workshop and Training Course, Graz, Austria, 18-20 September 2008, pp.110-115.

63. C. N. Gupta and R.Palaniappan, “Enhanced target detection using P300 and gamma band analysis,” Abstract published in Neuroscience 2008, 31st Annual Meeting of the Japan Neuroscience Society, Tokyo, Japan, 9-11 July, 2008.

64. 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, pp. 485-488.

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

66. V. S. Asirvadam, S. F. McLoone and R. Palaniappan, “Bio-signal identification using simple growing RBF-network (OLACA),” International Conference on Intelligent & Advanced Systems, Kuala Lumpur, Malaysia, 25-28 November 2007, pp. 263-267.

67. 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, Sivakasi, India, 13-15 December 2007, vol. 2, pp. 328-333.

68. 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, Sivakasi, India, 13-15 December 2007, vol. 1, pp. 540-544.

69. C.N. Gupta and R. Palaniappan, “Denoising cyclostationary framework for enhanced electrocardiogram analysis,” Conference on Computers in Cardiology, Durham, North Carolina, USA, 30 September - 3 October, 2007, vol.34, pp.93-96.

70. 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.

71. 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.

72. R. Palaniappan, S. M. Krishnan and C. Eswaran, “Improving simplified fuzzy ARTMAP performance using genetic algorithm for brain fingerprint classification,” Proceedings of 14th International Conference on Advanced Computing and Communications, Mangalore, India, 20-23 December 2006, pp. 327-330.

73. 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.

74. R. Palaniappan, “Vision related brain activity for biometric authentication,” IECON proceedings of 32nd Annual Conference of the IEEE Industrial Electronics Society, Paris, France, Nov. 7-10, 2006, pp. 3227-3231.

75. C. Menon, C. Negueruela, J. R. Millán, O. Tonet, F. Carpi, M. Broschart, P. Ferrez, A. Buttfield, P. Dario, L. Citi, L. Cecilia, M. Tombini, F. Sepulveda, R. Poli, R. Palaniappan, F. Tecchio, P. M. Rossini, D. Rossi, “Prospective on brain-machine interfaces for space system control,” Proceedings of AIAA 57th International Astronautical Congress, Valencia, Spain, October 2-6, 2006, vol. 10, pp. 6829-6840.

76. C.S.L Tsui, A. Vuckovic, R. Palaniappan, F. Sepulveda, and J.Q. Gan, “Narrow band spectral analysis for onset detection in asynchronous BCI,” Proceedings of 3rd International Brain-Computer Interface Workshop and Training Course, Graz, Austria, pp.30-31, September 22-23, 2006.

77. R. Palaniappan, “Minimising mutual information using genetic algorithm for single trial P300 component extraction,” Proceedings of 18th international EURASIP Biosignal conference, Brno, Czech Republic, pp. 104-106, 28-30 June, 2006.

78. 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, 22-23 April 2006, pp. 1-5.

79. 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.

80. 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.

81. P. S. Kanna, 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.

82. KVR. Ravi, and R. Palaniappan, “Leave-one-out authentication of persons using 40 Hz EEG oscillations,” Proceedings of EUROCON 2005 – The International Conference on Computer as a Tool, Belgrade, Serbia & Montenegro, vol. 2, pp.1386-1389, 21-24 November, 2005.

83. R. Palaniappan and N. Huan, “Improving the performance of two-state mental task brain-computer interface design using linear discriminant classifier,” Proceedings of EUROCON 2005 – The International Conference on Computer as a Tool, Belgrade, Serbia & Montenegro, vol. 1, pp. 409-412, 21-24 November, 2005.

84. 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,” Proceedings of EUROCON 2005 – The International Conference on Computer as a Tool, Belgrade, Serbia & Montenegro, vol. 1, pp.413-416, 21-24 November, 2005.

85. 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.

86. 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.

87. C. N. Gupta, R. Palaniappan, and S. Swaminathan, “Classification of homomorphic segmented phonocardiogram signals using grow and learn network,” Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Shanghai, China, 1-4 September, pp.4251 – 4254, 2005.

88. P. S. Kanna, R. Palaniappan, and KVR. Ravi, “Classification of alcohol abusers: an intelligent approach,” Proceedings of International Conference on Information Technology and Applications, Sydney, Australia, pp. 470-474, vol.1, 4-7 July, 2005.

89. 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.

90. C. N. Gupta, R. Palaniappan, S. Rajan, S. Swaminathan, and S. M. Krishnan, “Segmentation and classification of heart sounds,” Proceedings of 18th Annual Canadian Conference on Electrical and Computer Engineering, Saskatchewan, Canada, pp. 1678–1681, 1-4 May, 2005.

91. P. S. Kanna, 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.

92. R. Palaniappan, “Brain computer interface design using band powers extracted during mental tasks,” Proceedings of 2nd International IEEE EMBS Conference on Neural Engineering, Arlington, Virginia, USA, pp. 321-324, 16-19 March, 2005.

93. H. Nai-Jen 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.

94. R. Palaniappan, C. N. Gupta, C. K. Luk, and S. M. Krishnan, “Multi-parameter detection of ectopic heart beats,” IEEE International Workshop on Biomedical Circuits and Systems, Singapore, pp. S2.4.1-S2.4.4, 1-3 December, 2004.

95. R. Palaniappan, and S. M. Krishnan, “Detection of ectopic heart beats using ECG and blood pressure signals,” Proceedings of International Conference on Signal Processing and Communications, Bangalore, India, pp.573-576, 11-14 December, 2004.

96. R. Palaniappan, and S. M. Krishnan, “Identifying individuals using ECG signals,” Proceedings of International Conference on Signal Processing and Communications, Bangalore, India, pp.569-572, 11-14 December, 2004.

97. P. Sharmilakanna, R. Palaniappan, and S. M. Krishnan, “Autoregressive modelling of pseudo-periodic VEP signals for classification of alcoholics,” Abstracts of BMES Annual Fall Meeting, Philadelphia, USA, p. 789, 13-16 October, 2004.

98. S. Andrews, and R. Palaniappan, “Extracting single trial evoked potential signals using spectral power ratio principal components,” Abstracts of BMES Annual Fall Meeting, Philadelphia, USA, p. 790, 13-16 October, 2004.

99. N. Huan, and R. Palaniappan, “Electroencephalogram signal classification using linear discriminant analysis for brain-computer interface design,” Proceedings of Multimedia International Symposium on Information and Communication Technologies, Putrajaya, Malaysia, pp. 9-12, 7-8 October, 2004.

100. R. Palaniappan and S. M. Krishnan, “De-noising electrocardiogram signals using continuous genetic algorithm,” Abstracts of 1st International SBE Conference on Bioengineering and Nanotechnology, Biopolis, Singapore, p. 38, 26-29 September, 2004.

101. R. Palaniappan, and T. E. Khoon, “Uni-channel PCA for noise reduction from ECG signals,” Proceedings of 1st International Bioengineering Conference, Singapore, pp.436-439, 8-10 September, 2004.

102. S. Andrews, R. Palaniappan and V. S. Asirvadam, “Single trial source separation of VEP signals using selective principal components,” Proceedings of 2nd International Conference on Advances in Medical Signal and Information Processing, Malta G.C., Europe, pp. 51-57, 5-8 September, 2004.

103. P. Sharmilakanna, R. Palaniappan and P. Raveendran, “Analysis of memory impairment in alcoholics,” Kuala Lumpur International Biomedical Engineering Conference, Kuala Lumpur, Malaysia, 2-4 September, 2004, published in IFMBE Proceedings BIOMED 2004, pp. 113-116, vol.7, 2004.

104. R. Palaniappan and K.V.R. Ravi, “A new method to identify individuals using signals from the brain,” Proceedings of Joint Conference of the Fourth International Conference on Information, Communications and Signal Processing and the Fourth Pacific Rim Conference on Multimedia, Singapore, pp. 1442-1445, vol.3, 15-18 December, 2003.

105. R. Palaniappan, P. Sharmilakanna, K.V.R. Ravi, “Classification of alcoholics using gamma band spectral power ratio extracted from single-trial and de-noised VEP signals,” World Congress on Medical Physics and Biomedical Engineering, Sydney, Australia, 24-29 August, 2003, published in IFMBE CD Proceedings WC2003, vol.4, 2003.

106. R. Palaniappan, P. Raveendran and L. Chockalingam, “Evolutionary fuzzy ARTMAP for optimal classification of evoked EEG,” Proceedings of International Conference on Robotics, Vision, Information and Signal Processing, Penang, Malaysia, pp.558-562, 22-24 January, 2003.

107. R. Palaniappan and P. Raveendran, “Genetic algorithm to select features for fuzzy ARTMAP classification of evoked EEG,” Proceedings of Asia-Pacific Conference on Circuits and Systems, Singapore, pp.53-56, vol. 2, 18-22 December, 2002.

108. R. Palaniappan and P. Raveendran, “Gamma band analysis of VEP to study the electrophysiological differences in alcoholics,” CD Proceedings of International Congress on Biological and Medical Engineering, Singapore, 4-7 December, 2002.

109. R. Palaniappan, S. Anandan and P. Raveendran, “Two level PCA to reduce noise and EEG from evoked potential signals,” Proceedings of 7th International Conference on Control, Automation, Robotics and Vision, Singapore, vol.3, pp. 1688-1693, 2-5 December, 2002.

110. R. Palaniappan and P. Raveendran, “Analysis of P3 visual stimulus EEG,” Proceedings of International Conference on Biomedical Engineering, Kuala Lumpur, Malaysia, pp.233-235, 6-8 June, 2002.

111. R. Palaniappan and P. Raveendran, “N1 and P2 evoked response as a measure of short-term visual memory”, Proceedings of 6th Joint Conference on Information Sciences (5th International Conference on Computational Intelligence and Neurosciences), North Carolina, USA, pp. 545-548, 8-13 March, 2002.

112. R. Palaniappan and P. Raveendran, “Classification of single trial gamma band VEP extracted during object recognition”, Proceedings of International Conference on Biomedical Engineering, Bangalore, India, pp.1-4, vol.1, 21-24 December, 2001.

113. R. Palaniappan and P. Raveendran, “VEP spectral bands for detecting alcoholics”, Annual Biomedical Engineering Society Conference, Durham, USA, 4-7 October, 2001, abstract published in Annals of Biomedical Engineering, p. S-14, vol.29, supplement 1, 2001.

114. R. Palaniappan and P. Raveendran, “Power and asymmetry ratio of spectral bands for mental task recognition”, Proceedings of IEEE 6th International Symposium on Signal Processing and its Applications, Kuala Lumpur, Malaysia, pp.745-746, vol.2, 13-16 August, 2001.

115. R. Palaniappan and P. Raveendran, “Single trial VEP extraction using digital filter”, Proceedings of 11th IEEE Workshop on Statistical Signal Processing, Singapore, pp.249-252, 6-8 August, 2001.

116. R. Palaniappan and P. Raveendran, “A new mode of EEG based communication”, Proceedings of IEEE International Joint Conference on Neural Networks, Washington DC, USA, pp. 2679-2682, vol. 4, 14-19 July, 2001.

117. R. Palaniappan, P. Raveendran, S. Nishida and N. Saiwaki, “Mental task discrimination using EEG signals with genetically trained fuzzy ARTMAP”, Annual Biomedical Engineering Society Conference, Seattle, USA, 12-14 October, 2000, abstract published in Annals of Biomedical Engineering, pp. S-116, vol.28, supplement 1, 2000.

118. R. Palaniappan, P. Raveendran, S. Nishida and N. Saiwaki, “Evolutionary fuzzy ARTMAP for autoregressive EEG model order selection and classification”, Proceedings of IEEE Conference on System, Man and Cybernetics, Tennessee, USA, pp. 3682-3686, vol. 5, 10-11 October, 2000.

119. R. Palaniappan and P. Raveendran, “Time-Series analysis of EEG signals”, Proceedings of National Conference on Biomedical Engineering, Kuala Lumpur, Malaysia, pp. 108-110, 27-28 September, 2000.

120. R. Palaniappan, P. Raveendran, S. Nishida and N. Saiwaki, “Improved spectral analysis of EEG signals”, Proceedings of IEEE Engineering in Medicine and Biology Society Asia Pacific Conference, Hangzhou, China, pp.143-144, vol. 1, 26-28, September 2000.

121. R. Palaniappan, P. Raveendran, S. Nishida and N. Saiwaki, “Fuzzy ARTMAP classification of mental tasks using segmented and overlapped EEG Signals”, Proceedings of IEEE Region 10 Conference (TENCON), Kuala Lumpur, Malaysia, pp. 388-391, vol. 2, 25-27 September, 2000.

122. R. Palaniappan, P. Raveendran, S. Nishida and N. Saiwaki, “Autoregressive spectral analysis and model order selection criteria for EEG signals”, Proceedings of IEEE Region 10 Conference (TENCON), Kuala Lumpur, Malaysia, pp. 126-129, vol. 2, 25-27, September 2000.

123. R. Palaniappan, P. Raveendran and S. Omatu, “Noise tolerant moments for neural network classification”, Proceedings of International Joint Conference on Neural Networks, Washington D.C., USA, pp.2802–2807, vol.4, 10-16 July, 1999.