Publications - Palaniappan Ramaswamy's site

Books

R. Palaniappan, “Biological Signal Analysis,” Ventus Publishing, Denmark, 2010. http://bookboon.com/en/textbooks/it-programming/introduction-to-biological-signal-analysis [download for free]
R. Palaniappan, “Introduction to Digital Systems,” Ventus Publishing, Denmark, 2011. http://bookboon.com/en/textbooks/it-programming/digital-systems-design [download for free]
M. Murugappan, S. Khatun and R. Palaniappan, (eds), Special issue on Biological Signal Processing and Applications, Journal of Medical Imaging and Health Informatics, vol. 5, 2015.

Journals (accepted/published)

S. Mouli and R. Palaniappan, "DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset," HardwareX, vol. 8, e00113, 2020.
I. McLoughlin, Z. Xie, Y. Song, H. Phan, R. Palaniappan, Time-frequency feature fusion for noise-robust audio event classification, Circuits, Systems and Signal Processing, pp. 1 -16, 2019.
O. P. Singh, R. Palaniappan, M. Malarvili, “Automatic quantitative analysis of human respired carbon dioxide waveform for asthma and non-asthma classification using support vector machine,” IEEE Access, vol. 6, pp: 55245 – 55256, 2018.
S. Al-Sudani and R. Palaniappan, “Predicting students’ final degree classification using an extended profile,” Education and Information Technologies, vol. 24, issue 4, pp. 2357-2369, 2019.
R. Yuvaraj, M. Murugappan, and R. Palaniappan, “The effect of lateralization of motor onset and emotional recognition in PD patients Using EEG,” Brain Topography, vol. 30, issue 3, pp. 333-342, 2017. [paper]
S. Mouli and R. Palaniappan, “Towards a reliable PWM based LED visual stimulus for improved SSVEP response with minimal visual fatigue,” IET Journal of Neural Engineering, 2017, 15 pages, 10.1049/joe.2016.0314.
J. Lefournour, R. Palaniappan and I. McLoughlin, “Inter-hemispheric and spectral power analyses of binaural beat effects on the brain,” ScienceMatters, 2016, 10.19185/matters.201607000001.
J. Asensio-Cubero, J.Q. Gan, and R. Palaniappan, “Multiresolution analysis over graphs for a motor imagery based online BCI game,” Computers in Medicine and Biology, vol. 68, pp.21-26, 2016. [paper]
R. Palaniappan, S. Phon-Amnuaisuk and C. Eswaran, “On the binaural brain entrainment indicating lower heart rate variability,” International Journal of Cardiology, vol. 190, pp.262-263, 2015. [paper]
S. Mouli, R. Palaniappan, and I. P. Sillitoe, “Improving SSVEP responses from LED stimuli through orientation analysis for brain-computer interface design” Journal of Medical Imaging and Health Informatics, vol. 5, no. 5, pp. 1070-1075, 2015. [paper]
R. Yuvaraj, M. Murugappan, N. M. Ibrahim, K. Sundaraj, M. I. Omar, K. Mohamad and R. Palaniappan, “Optimal set of EEG features for emotional state classification and trajectory visualization in Parkinson's disease,” International Journal of Psychophysiology, vol. 94, no. 3, pp. 482-495, 2014. [paper]
R. Yuvaraj, M. Murugappan, N. M. Ibrahim, K. Sundaraj, M. I. Omar, K. Mohamad and R. Palaniappan, “Detection of emotions in Parkinson’s disease using higher order spectral features from brain’s electrical activity,” Biomedical Signal Processing and Control, vol. 14, pp. 108-116, 2014. [paper]
R. Palaniappan and K. Revett, “PIN generation using EEG: A stability study,” International Journal of Biometrics, pp. 95-105, vol. 6, no. 2, 2014. [paper]
R. Yuvaraj, M. Murugappan, N. M. Ibrahim, I. Omar, K. Sundaraj, K. Mohamad and R. Palaniappan, “EEG coherence analysis in Parkinson's disease: Assessing brain activity during emotion processing,” Journal of Neural Transmission, vol. 122, issue 2, pp. 237-252, 2014 [paper].
R. Yuvaraj, M. Murugappan, N. M. Ibrahim, K. Sundaraj, K. Mohamad and R. Palaniappan, “On the analysis of EEG power, frequency and asymmetry in Parkinson's disease during emotion processing," Behavioral and Brain Functions, (highly accessed article), vol. 10, no. 12, 2014. [paper]
R. Yuvaraj, M. Murugappan, N. M. Ibrahim, M. I. Omar, K. Sundaraj, K. Mohamad, R. Palaniappan and M. Satiyan, “Emotion classification in Parkinson's disease by higher-order spectra and power spectrum features using EEG signals: A comparative study,” Journal of Integrative Neuroscience, pp. 1-32, vol. 13, no. 1, 2014. [paper]
J. O’Kelly, W. Magee, L. James, R. Palaniappan, J. Taborin and J. Fachner, “Neurophysiological and behavioural responses to music therapy in vegetative and minimally conscious states,” Frontiers in Neuroscience - Special Edition on Music, Brain, and Rehabilitation: Emerging Therapeutic Applications and Potential Neural Mechanisms, vol. 7, no. 00884, 2013, doi=10.3389/fnhum.2013.00884. [paper]
J.J. Wilson, and R. Palaniappan, “On the stimulus duty cycle in steady state visual evoked potential,” KES Journal: Innovation in Knowledge-Based and Intelligent Engineering Systems, pp.73-79, vol. 18, no. 2, 2014.[paper]
J. Asensio-Cubero, J. Q. Gan, and R. Palaniappan, “Multiresolution analysis over simple graphs for brain computer interfaces,” Journal of Neural Engineering, vol. 10, 046014, 2013. [paper]
J. Asensio-Cubero, J. Q. Gan, and R. Palaniappan, “Extracting optimal tempo-spatial features using local discriminant bases and common spatial patterns for brain computer interfacing,” Biomedical Signal Processing and Control, pp.772-778, vol. 8, issue 6, 2013. [paper]
C. N. Gupta and R. Palaniappan, "Using EEG and NIRS for brain-computer interface and cognitive performance measures," International Journal of Cognitive Performance Support, vol. 1, no.1, pp.69-81, 2013. [paper]
T. Balli and R. Palaniappan, “Approximate entropy as an indicator of nonlinearity in self paced voluntary finger movement EEG,” International Journal of Medical Engineering and Informatics, vol. 5, no.2, pp.103-116, 2013. [paper]
C. N. Gupta and R. Palaniappan, “Using high-frequency electroencephalogram in visual and auditory-based brain-computer interface designs,” EContact! 14.3 — Biotechnological Performance Practice, Canadian Electroacoustic Society, June 2012. [paper]
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, vol. 11, no. 1/2, pp.36-48, 2012. [paper]
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 2011, vol.3, no.3, 2011, pp. 134-140, doi: 10.1177/1943862111399290. [paper]
C. N. Gupta, R. Palaniappan, R. Paramesran, “Exploiting the P300 paradigm for cognitive biometrics,” International Journal of Cognitive Biometrics, vol.1, no.1, pp.26-38, 2012. [paper]
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, vol. 8, no.2, 2011, doi: 10.1088/1741-2560/8/2/025026. [paper]
T. Wissel and R. Palaniappan, “Considerations on strategies to improve EOG signal analysis,” International Journal of Artificial Life Research, vol. 3, no. 2, pp. 6-21, 2011. [paper]
T. Balli and R. Palaniappan, “Classification of biological signals using linear and nonlinear features,” Physiological Measurement, vol. 31, pp. 903-920, 2010. [paper]
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. [paper]
C.N. Gupta, R. Palaniappan, and S. Swaminathan, “Novel analysis techniques for a brain biometric system,” International Journal of Medical Engineering and Informatics, vol. 1, issue 2, pp. 266 – 273, 2008. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
R. Palaniappan, “Screening for chronic alcoholic subjects using multiple gamma band EEG: a pilot study,” Journal of Computer Science and Technology, pp.182-185, Vol. 7, No. 2, April 2007.[paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
R. Palaniappan, “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, 2006. [paper]
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. [paper]
R. Palaniappan, “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, 2006. [paper]
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. [paper]
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. [paper]
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.[paper]
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. [paper]
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. [paper]
R. Palaniappan, “Improved automated classification of alcoholics and non-alcoholics,” International Journal of Information Technology, pp.182-186, vol.2, no.3, 2005. [paper]
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. [paper]
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. [paper]
R. Palaniappan, "Discrimination of alcoholic subjects using second order autoregressive modelling of brain signals evoked during visual stimulus perception," World Academy of Science, Engineering and Technology, vol. 12, pp.177-182, 2005. [paper]
R. Palaniappan and N.-J. Huan, "Effects of hidden unit sizes and autoregressive features in mental task classification," World Academy of Science, Engineering and Technology, vol. 12, pp.171-176, 2005. [paper]
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. (this article had 259 downloads - one of the highest downloads in 2004 for JNE) [paper]
N.-J. Huan and R. Palaniappan, “Brain computer interface design using mental task classification”, Multimedia Cyberscape Journal, pp. 35-43, vol.1, 2004. [paper]
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. [paper]
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. [paper]
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. [paper]
R. Palaniappan and P. Raveendran, “Individual identification technique using visual evoked potential signals,” Electronics Letters, pp.1634-1635, vol.38, issue 25, 2002. [paper]
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. [paper]
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. [paper]
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. [paper]
R. Palaniappan and P. Raveendran, “Cognitive task prediction using parametric spectral analysis of EEG signals”, Malaysian Journal of Computer Science, pp.58-67, vol. 14, no. 1, 2001.[paper]
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. [paper]
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, 2000. [paper]
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. [paper]
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. [paper]
R. Paramesran, P. Ramaswamy and S. Omatu, “Regular moments for symmetric images”, Electronics Letters, pp.1481–1482, vol. 34, no.15, 1998. [paper]

Book chapters

R. Palaniappan, A. Duraisingam, N. Chinnaiah, M. Murugappan, “Predicting Java computer programming task difficulty levels using EEG for educational environments,” Augmented Cognition (Human Computer Interaction International), Lecture Notes in Computer Science (LCNS), vol. 11580, pp. 446-460, 2019.
S. Phon-Amnuaisuk and R. Palaniappan, “Exploring swarm-based visual effects,” in K. Lavangnananda, S. Phon-AMnuaisuk, W. Engchuan, J.H. Chan, “Intelligent and Evolutionary Systems, Series Proceedings in Adaptation, Learning and Optimization”, Springer, vol.5, pp 333-341, 2015. [paper]
R. Palaniappan, S. Andrews, I.P. Sillitoe, T. Shira, and P. Raveendran, “Improving the feature stability and classification performance of bimodal brain and heart biometrics,” in: S. M. Thamp, S. Bandyopadhyay, S. Krishnan, K-C Li, S. Mosin and M. Ma (eds.), Advances in Signal Processing and Intelligent Recognition Systems, Springer, vol. 425, pp. 175-186, 2015. [paper]
R. Palaniappan, “Electroencephalogram based brain-computer interface: An introduction,” Chapter 2 in E. R. Miranda, J. Castet and B. Knapp (eds.), “Guide to Brain-computer Music Interfacing,” Springer, 2014. [paper]
J. Asensio-Cubero, J.Q. Gan and R. Palaniappan, “Wavelet lifting over information-based EEG graphs for motor imagery data classification,” Chapter 1, vol. 8908, Lecture Notes in Computer Science, Springer, 2014. [paper]
S. Mouli, R. Palaniappan and I. P. Sillitoe, “A configurable, inexpensive, portable, multi-channel, multi-frequency, multi- chromatic RGB LED visual stimuli design for SSVEP stimulation,”' in A. E. Hassanien and A. T. Azar (eds.), “Brain-Computer Interfaces: Current Trends and Applications” Springer-Verlag, 2014. [paper]
69) R. Palaniappan and T. Sihra, “Brain prints for biometrics: An introduction and review of current trends,” in M. Khosrow-Pour (ed.), “Encyclopedia of Information Science and Technology, Third edition,” pp.525-535, IGI Global, Hershey, PA, 2014. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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

L. Pham, I. McLoughlin, H. Phan, R. Palaniappan, A. Mertins, “Deep feature embedding and hierarchical classification for audio scene classification,” Proceedings of International Joint Conference on Neural Networks, part of IEEE World Congress on Computational Intelligence, Glasgow, Scotland, 19-24 July 2020.
L. Pham, I. McLoughlin, H. Phan, M. Tran, T. Nguyen, R. Palaniappan, “Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases,” Proceedings of 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20), Montréal, Québec, Canada, 20-24 July 2020.
Y. Lin, R.Palaniappan,P.De-Wilde, L.Li, “A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet,” Proceedings of 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20), Montréal, Québec, Canada July 20-24, 2020.
R. Ayling, C.G. Johnson, L. Li, R. Palaniappan, “Pose Estimation from Electromyographical Data using Convolutional Neural Networks,” Proceedings of 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20), Montréal, Québec, Canada July 20-24, 2020.
B. Chatterjee, R. Palaniappan, C.N. Gupta, “Performance evaluation of manifold algorithms on a P300 paradigm based online BCI dataset,” XV Mediterranean Conference on Medical and Biological Engineering and Computing, IFMBE Proceedings, vol. 76, pp.1894-1898, 2019.
L. Pham, I. McLoughlin, H. Phan, R. Palaniappan, “A multi-spectrogram deep neural network for acoustic scene classification,” Technical Report, DCASE2019 challenge, Detection and Classification of Acoustic Scenes and Events, 2019.
L. Pham, I. McLoughlin, H. Phan, R. Palaniappan, “A robust framework for acoustic scene classification,” Proceedings of Interspeech, pp. 3634-3638, 2019.
L. Pham, I. McLoughlin, H Phan, R Palaniappan, Y Lang, “Bag-of-features models based on C-DNN network for acoustic scene classification,” Audio Engineering Society Conference, Porto, Portugal, 2019.
Y. Lin, P. De Wilde, R. Palaniappan, and L. Li, “Muscle connectivity analysis for hand gesture recognition via sEMG,” Proceedings of IEEE Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, Hawaii, pp. 848-852, 2018.
I. McLoughlin, Y. Song, L. Pham, R. Palaniappan, H. Phan and Y. Lang, “Early detection of continuous and partial audio events using CNN,” InterSpeech, Hyderabad, pp. 3314-3318, 2018.
R.Palaniappan, S. Mouli, T. Balli, and I. McLoughlin, “On the mental fatigue analysis of SSVEP entrainment,” 2^nd International Conference on Biosignal Analysis, Processing and Systems, Kuching, Sarawak, Malaysia, 24-26 July ICBAPS 2018. [paper]
A. Mondal and R.Palaniappan, “'Detection of pathological condition of heart using texture complexity of the heart sound signals in kernel space,” 2^nd International Conference on Biosignal Analysis, Processing and Systems, Kuching, Sarawak, Malaysia, 24-26 July ICBAPS 2018. [paper]
S. Mouli and R. Palaniappan, “A hybrid BCI utilising SSVEP and P300 event markers for improved classification using LED stimuli,” IEEE Symposium on Computer Applications & Industrial Electronics, Langkawi, Malaysia 24-25 April 2017. [paper]
A. Samraj, K. Rajendran, R. Palaniappan, “A segmented-mean feature extraction method for glove-based system to enhance physiotherapy for accurate and speedy recuperation of limbs,” International Conference on Advances in Computing, Communications and Informatics (ICACCI'16), pp. 1983-1988, Sept. 21-24, 2016, Jaipur, India. [paper]
A. Duraisingam, R.Palaniappan, A. Samraj, “Cognitive task difficulty analysis using EEG and data mining,” IEEE Conference on Emerging Devices and Smart Systems, Salem, India, 3-4 March 2017. [paper]
S. Mouli and R. Palaniappan, “Eliciting higher SSVEP response from LED visual stimulus with varying luminosity levels, International Conference for Students on Applied Engineering (ICSAE), Newcastle, pp.362–367. [paper]
S. Mouli and R. Palaniappan, “Ring LED for optimal detection of steady state responses,” 9^th International Conference on Human System Interaction, Portsmouth, UK, 6-8 July 2016. [paper]
S. Mouli, R. Palaniappan, I.P. Sillitoe, and J.Q. Gan, “Quantification of BCI SSVEP responses using multi‐chromatic LED stimuli: Analysis on colour, orientation and frequency using LED stimuli,” 7th Computer Science and Electronic Engineering Conference, Colchester, UK, 24-25 September 2015, pp. 93-98. [paper]
S. Mouli, R. Palaniappan, and I.P. Sillitoe, “'Arduino based configurable LED stimulus design for multi-frequency SSVEP-BCI,'' Proceedings of the IEEE EMBS UKRI Postgraduate Conference on Biomedical Engineering (PGBiomed/ISC), Warwick, 15-17 July 2014. [paper]
J. Asensio-Cubero, J.Q. Gan and R. Palaniappan, “Multiresolution analysis of an information based EEG graph representation for motor imagery brain computer interfaces,” International Conference on Physiological Computing Systems, Lisbon, Portugal, 7-9 January 2014. [paper]
R. Palaniappan, and A. Samraj, “Achieving ECG biometric stability through binaural brain entrainment," Proceedings of IEEE International Conference on Contemporary Computing and Informatics (IC3I), 27-29 November 2014, India. [paper]
S. Mouli, R. Palaniappan, I. P. Sillitoe, and J. Q. Gan, “Performance analysis of multi-frequency SSVEP-BCI using clear and frosted colour LED stimuli,” 13th IEEE International Conference on Bioinformatics and Bioengineering, Chania, Greece, 10–13 November 2013, p. 1-4. [paper]
J. O’Kelly, W. Magee, L. James, and R. Palaniappan, “Music therapy applications for promoting arousal and emotional responses in those with disorders of consciousness: preliminary analysis of a neurophysiological and behavioural study,” Third International Conference on Music and Emotion, 11-15 June, 2013, Jyväskylä, Finland, p. 31. [paper]
J. O’Kelly, W. Magee, R. Palaniappan, and L. James, “Preferred music and entrained improvisation: A neurophysiological study,” In Programme and Abstracts (eds: O. Brabant, K. Johansson, and J. Fachner), 7th Nordic Congress of Music Therapy, Models, Methods and Techniques, University of Jyväskylä, Finland, 2013, p.34. [paper]
J. O’Kelly, W. Magee, L. James, R. Palaniappan, and J. Fachner, “The development of evidence based music therapy for disorders of consciousness: Comparing healthy neurophysiological responses to individuals in vegetative and minimally conscious states,” Programme and Abstracts (eds.: M. Schutz and F. Russo), Biennial meeting of the Society for Music Perception and Cognition, Ryerson University, Canada, 2013, p.104-105. [paper]
J. Asensio-Cubero, J.Q. Gan and R. Palaniappan, "Extracting common spatial patterns based on wavelet lifting for brain computer interface design," 4th Computer Science and Electronic Engineering Conference, 12-13 September 2012, Colchester, UK. [paper]
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. [paper]
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. [paper]
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. [paper]
R. Palaniappan, “On low frequency entrainment using auditory steady state responses,” Abstract, Biomedical Engineering Society Annual Meeting, Hartford, Connecticut, USA, 12-15 October 2011. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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, vol. 13, pp. 46-53, 2009. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
C. N. Gupta and R.Palaniappan, “Enhanced target detection using P300 and gamma band analysis,” 31st Annual Meeting of the Japan Neuroscience Society, Tokyo, Japan, 9-11 July, 2008, abstract published in Neuroscience Research, p. S54, vol. 61, suppl. 1, 2008. [paper]
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. [paper]
C. N. Gupta, J. J. Wilson, R. Palaniappan, and C. S. Syan, “Single trial P300 amplitude for pass-code brain-machine interface design,” Proceedings of International Conference on Advanced Computing, Chikhli, Maharashtra, India, 21-22 February 2008. [paper]
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. [paper]
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. [paper]
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. [paper]
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.
C.N. Gupta and R. Palaniappan, “Denoising cyclostationary framework for enhanced electrocardiogram analysis," Conference on Computers in Cardiology, Durham, North Carolina, vol. 34, pp. 93-96, 30 Sept – 3 Oct, 2007. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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.
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
S. Andrews, R. Palaniappan and N. Kamel, "Extracting single trial visual evoked potentials using selective eigen-rate principal components," Proceedings of World Academy of Science, Engineering and Technology, vol.7, pp.330-333, 2005. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
T. H. Keit, P. Raveendran and R. Palaniappan, “Recognition of handwritten numerals using segmentation, stroke identification and decision tree”, CD Proceedings of International Student Conference on Research and Development, Kuala Lumpur, Malaysia, 20-21 February, 2001.
R. Palaniappan and P. Raveendran, “Autoregressive order selection criteria: a case study for EEG signals”, CD Proceedings of International Student Conference on Research and Development, Kuala Lumpur, Malaysia, 20-21 February, 2001. [paper]
R. Palaniappan and P. Raveendran, “Neural network classification of brain waves using asymmetry ratio”, CD Proceedings of International Student Conference on Research and Development, Kuala Lumpur, Malaysia, 20-21 February, 2001. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]
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. [paper]

Conference presentations (unpublished)

J. O’Kelly, W. Magee, L. James, and R. Palaniappan, “Music therapy with disorders of consciousness: The search for evidence,” Third Annual International Symposium on Music Therapy with Disorders of Consciousness: The Search for Evidence, Elizabeth Seton Pediatric Centre, New York, USA, 9 Nov 2012.
J. O’Kelly, W. Magee, L. James, and R. Palaniappan, “The Development of Evidence Based Music Therapy in the Assessment and Rehabilitation of those with Disorders of Consciousness, Poster session presented at British Festival of Neuroscience, London, United Kingdom, 2013.

Magazine

R. Palaniappan and I. Silitoe, “Brain-Waves: Science fiction or biometrics of the future”, Hakin9 Extra, pp.60-65, November 2012, ISSN: 1733-7186. [paper]

Invited plenary talk

R. Palaniappan, “Recent trends in brain-computer interface”, 1st Indian Conference on Computational Intelligence and Information Security, Madurai, India, 25 January 2007. [paper]

Other invited talk/demo

M. Murugappan, R. Palaniappan, and S. Khatun, “A special section on biological signal processing and its applications, Journal of Medical Imaging and Health Informatics, pp.1007-1008, vol. 5, Sept 2015. [paper]
R. Palaniappan, “An overview of current EEG based brain-computer interfaces,” Institution of Engineering and Technology Anglian Coastal Lecture, University of Essex, Colchester, United Kingdom, 5 February 2008.
J. J. Wilson, E. Miranda, J. Eaton, W. Magee and R. Palaniappan, “BCI design using SSVEP: A demo with real locked-in patient,” International Conference Music Technology: Solutions To Challenges, Royal Hospital for Neurodisability, London, 11th – 12th June 2010.

Refereed reviews accepted for publication

R. Palaniappan, Conference review – Music Technology: Solutions to Challenges, pg. 17, British Society of Music Therapy Newsletter, August 2010.
R. Palanappan, Review of “M. Dorigo, M. Birattari, C. Blum, M. Clerc, T. Stützle, A. Winfield (eds.), Ant colony optimization and swarm intelligence,” Proceedings of Ant Colony Optimization and Swarm Intelligence, Brussels, Belgium, Sep 22-24, 2008,” ACM Computing Reviews, CR137102, 2009.
R. Palaniappan, Review of “K. Loo, A. Law, W. Lim, and M. Rao, “Probabilistic ensemble simplified fuzzy ARTMAP for sonar target differentiation,” Neural Computing and Applications, vol. 15, no. 1, pp. 79-90, 2006” ACM Computing Reviews, CR134723, 2007.
R. Palaniappan, Review of “D. Larose, Data mining: Methods and models, John Wiley & Sons, 2006” ACM Computing Reviews, C134663, 2007.
R. Palaniappan, Review of “L. Wang, and X. Fu, Data mining with computational intelligence (Advanced Information and Knowledge Processing), Springer-Verlag Berlin Heidelberg, 2005” ACM Computing Reviews, CR132277, 2006.
R. Palaniappan, Review of “J. Wayman, A. Jain, D. Maltoni, and D. Maio, Biometric systems: Technology, Design and Performance Evaluation, Springer-Verlag New York, Inc., Secaucus, NJ, 2004” ACM Computing Reviews, CR131685, 2005.
R. Palaniappan, Review of “P. de Chazal, J.Flynn, and R.B.Reilly, Automated processing of shoeprint images based on the Fourier transform for use in forensic science, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 3, pp. 341-350, 2005” ACM Computing Reviews, CR131457, 2005.
R. Palaniappan, Review of “M.V.Baghmisheh and N. Pavesic, A fast simplified fuzzy ARTMAP network, Neural Processing Letters, vol.17, issue 3, pp.273-316, 2003” ACM Computing Reviews, CR129693 (0412-1543), 2004.

Gazette article

Palaniappan Ramaswamy