Tracking of EEG Activity Using Motion Estimation to Understand Brain Wiring
The fundamental step in brain research deals with recording electroencephalogram (EEG) signals and then investigating the recorded signals quantitatively. Topographic EEG (visual spatial representation of EEG signal) is commonly referred to as brain topomaps or brain EEG maps. In this chapter, full search block motion estimation algorithm has been employed to track the brain activity in brain topomaps to understand the mechanism of brain wiring. The behavior of EEG topomaps is examined throughout a particular brain activation with respect to time. Motion vectors are used to track the brain activation over the scalp during the activation period. Using motion estimation it is possible to track the path from the starting point of activation to the final point of activation. Thus it is possible to track the path of a signal across various lobes.
KeywordsBrain activation EEG Topomaps Motion estimation Full search
This work was funded by the Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah, under grant No. 968-009-D1434. The authors, therefore, acknowledge with thanks DSR technical and financial support.
- 2.K.S. Bhushan, Motion based foreground segmentation using block matching algorithm. Int. J. Recent Trends Eng. 1, 158–160 (2009)Google Scholar
- 3.T.F. Collura, Applications of small brainwave machines, in Proceedings of Annual Conference on Brain Modification and EEG, Palm Springs, Feb 1997Google Scholar
- 4.M. Djalalov, H. Nisar, Y. Salih, A.S. Malik, An algorithm for vehicle tracking and detection, in Proceedings of International Conference on Intelligent and Advanced Systems, Kuala Lumpur, 2010Google Scholar
- 6.T. Koga, K. Iinuma, A. Hirano, Y. Iijima, T. Ishiguro, Motion compensated interframe coding for video conferencing, in Proceedings of NTC81, New Orleans, 1981Google Scholar
- 7.W.T. Lee, H. Nisar, A.S. Malik, K.H. Yeap, A brain computer interface for smart home control, in Proceedings of IEEE International Symposium on Consumer Electronics, Hsinchu, 3–6 June 2013, pp. 35–36Google Scholar
- 9.X. Marichal, Motion estimation and compensation for very low bitrate video coding, PhD thesis, Laboratoire de Telecommunication et Teledetection, Université Catholique de Louvain, 1998Google Scholar
- 10.M.R. Nuwer, Quantitative EEG: I. Techniques and problems of frequency analysis and topographic mapping. J. Clin. Neurophysiol. 5(1), 1–44, (1988)Google Scholar
- 11.A. Netravali, J. Robbins Motion-compensated television coding: part I. Bell Syst. Tech. J. 58, 631–670 (1979)Google Scholar
- 12.H. Nisar, T.S. Choi, An advanced center biased search algorithm for motion estimation, in International Conference on Image Processing, Vancouver, vol. 1, 2000, pp. 832–835Google Scholar
- 16.H. Nisar, H.C. Balasubramaniam, A.S. Malik, Brain computer interface for operating a robot, in Proceedings of International Symposium on Computational Models for Life Sciences, Sydney. AIP conference proceedings, vol. 1559 (2013)Google Scholar
- 17.C.M. Pechura, J.B. Martin, Mapping the Brain and Its Functions: Integrating Enabling Technologies into Neuroscience Research. (The National Academies Press, Washington, D.C., 1991)Google Scholar
- 19.E.J. Smith, Introduction to EEG, http://www.ebme.co.uk/articles/clinical-engineering/56-introduction-to-eeg. Jan 2014