Brainwave Classification for Brain Balancing Index (BBI) via 3D EEG Model Using k-NN Technique
In this paper, the comparison between k-Nearest Neighbor (kNN) algorithms for classifying the 3D EEG model in brain balancing is presented. The EEG signal recording was conducted on 51 healthy subjects. Development of 3D EEG models involves pre-processing of raw EEG signals and construction of spectrogram images. Then, maximum PSD values were extracted as features from the model. There are three indexes for balanced brain; index 3, index 4 and index 5. There are significant different of the EEG signals due to the brain balancing index (BBI). Alpha-α (8–13 Hz) and beta-β (13–30 Hz) were used as input signals for the classification model. The k-NN classification result is 88.46% accuracy. These results proved that k-NN can be used in order to predict the brain balancing application.
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 M. Khan, Q. Ding, and W. Perrizo, k-nearest neighbor classification on spatial data streams using P-trees: Springer Berlin Heidelberg, 2002.
 J. Han and M. Kamber, Data Mining Concepts and Techniques, second ed. San Francisco, CA: Morgan Kaufmann 2006.
 R. Polikar, "Pattern Recognition," in Wiley Encyclopedia of Biomedical Engineering, M. Akay, Ed., ed. New York: John Wiley & Sons, 2006.
 D. M. Dzuida, Data Mining for Genomics and Proteomics: Analysis of Gene and Protein Expression Data: John Wiley & Sons, 2010.
 P. Anbeek, K. L. Vincken, M. J. van Osch, R. H. Bisschops, and J. van der Grond, "Probabilistic segmentation of white matter lesions in MR imaging," Neuroimage, vol. 21, pp. 1037-44, Mar 2004.
 A. A. Petrosian, D. V. Prokhorov, W. Lajara-Nanson, and R. B. Schiffer, "Recurrent neural network-based approach for early recognition of Alzheimer's disease in EEG," Clinical Neurophysiology, vol. 112, pp. 1378-1387, 2001.
 K. Ansari-Asl, J. J. Bellanger, F. Bartolomei, F. Wendling, and L. Senhadji, "Time-frequency characterization of interdependencies in nonstationary signals: application to epileptic EEG," Biomedical Engineering, IEEE Transactions on, vol. 52, pp. 1218-1226, 2005.
 Mangai, J. , Wagle, S. , Kumar, V. (2013). 'An Improved k Nearest Neighbor Classifier Using Interestingness Measures for Medical Image Mining'. World Academy of Science, Engineering and Technology, International Science Index 81, International Journal of Medical, Pharmaceutical Science and Engineering, 7(9), 33 - 37.
 Tufail, A. , Abidi, A. , Siddiqui, A. , Younis, M. (2012). 'Automatic Classification of Initial Categories of Alzheimer's Disease from Structural MRI Phase Images: A Comparison of PSVM, KNN and ANN Methods'. World Academy of Science, Engineering and Technology, International Science Index 72, 6(12), 1570 - 1574.
 Chuang, L. , Hou, Y. , Jr., J. , Yang, C. (2009). 'A Novel Prediction Method for Tag SNP Selection using Genetic Algorithm based on KNN'. World Academy of Science, Engineering and Technology, International Science Index 29, 3(5), 1173 - 1178.
 Analoui, M. , Amiri, M. (2008). 'Feature Reduction of Nearest Neighbor Classifiers using Genetic Algorithm'. World Academy of Science, Engineering and Technology, International Science Index 17, 2(5), 785 - 788.
 Jansen BH, Cheng W-K. "Structural EEG analysis: an explorative study.”, Int J Biomed Comput 1988; 23: 221-37.
 L. Sornmo, and P. Laguna, Bioelectrical Signal Processing in Cardiac and Neurological Applications. Burlington, MA: Elsevier Academic Press, 2005.
 Y.M. Randall and C. O’Reilly, Computational Exploration in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain, MIT Press London, 2000.
 N. Hosaka, J. Tanaka, A. Koyama, K. Magatani, "The EEG measurement technique under exercising”, Proceedings of the 28th IEEE EMBS Annual International Conference, New York City, USA, Sept 2006, pp. 1307-1310.
 C. Guger, G. Edlinger, W. Harkam, I. Niedermayer, and G. Pfurtscheller, "How many people are able to operate an EEG-based brain-computer interface (BCI)?," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 11, pp. 145-147, 2003.
 R. W. Thatcher, D. North, and C. Biver, "EEG and intelligence: Relations between EEG coherence, EEG phase delay and power," Clinical Neurophysiology, vol. 116, pp. 2129-2141, 2005.
 E. Hoffmann, "Brain Training Against Stress: Theory, Methods and Results from an Outcome Study", version 4.2, October 2005.
 R. W. Sperry, "Left -Brain, Right Brain," in Saturday Review:speech upon receiving the twenty-ninth annual Passano Foundation Award, 1975, pp. 30-33.
 R. W. Sperry, "Some Effects of Disconnecting The Cerebral Hemispheres," in Division of Biology, California Institute of Technology, Pasadena. California, 1981, pp. 1-9.
 Zunairah Haji Murat, Mohd Nasir Taib, Sahrim Lias, Ros Shilawani S.Abdul Kadir, Norizam Sulaiman, and Mahfuzah Mustafa. "Establishing the fundamental of brainwave balancing index (BBI) using EEG,” presented at the 2nd Int. Conf. on Computional Intelligence, Communication Systems and Networks (CICSyN2010), Liverpool, United Kingdom, 2010.
 P. J. Sorgi, The 7 Systems of Balance: A Natural Prescription.
 Z. Liu, L. Ding, "Integration of EEG/MEG with MRI and fMRI in Functional Neuroimaging," IEEE Eng Med Biological Magazine, vol. 25, pp. 46-53, 2006.
 U. Will and E. Berg, "Brain Wave Synchronization and Entrainment to Periodic Acoustic Stimuli," Neuroscience Letters, vol. 424, pp. 55-60, 2007.
 B.-S. Shim, S.-W. Lee, "Implementation of a 3 –Dimensional Game for Developing Balanced Brainwave," presented at 5th International Conference on Software Engineering Research, Management & Applications, 2007.
 Rosihan M. Ali and Liew Kee Kor, "Association Between Brain Hemisphericity, Learning Styles and Confidence in Using Graphics Calculator for Mathematics”, Eurasia Journal of Mathematics, Science and Technology Education,vol. 3(2), pp127 -131, 2007.
 N.Fuad, R.Jailani, W.R.W.Omar, A.H.Sahidin, M.N.Taib, "Three Dimension 3D signal for EEG .”, IEEE Control & System Graduate Research Colloquium 2012 (ICSGRC2012), pp. 262-266,UITM, July 2012.
 N. Fuad ,M.N.Taib, "The Three Dimensional Electroencephalogram Model for Brainwave Sub band of Power Spectral.”, International Journal of Scientific Knowledge (IJSK) in Computing and Information Technology, Vol. 3, No.1, pp 8-18, 2013.
 N.Fuad, M.N.Taib , R.M.Isa, A.H.Jahidin, W.R.W.Omar, ‘Brain balancing pattern between left and right frontal using mean relative power ratio via three dimensional EEG model.’, Procedia - Social and Behavioral Sciences (2013), Vol.97, pp. 38-45, 2013
 L. Mariani. (1996, 1 May 2010). Brain-dominance questionnaire. Available:http://www.learningpaths.org/questionnaires/lrquest/lrquest.htm