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Tracking of EEG Activity Using Motion Estimation to Understand Brain Wiring

Nisar, Humaira and Malik, Aamir Saeed and Ullah, Rafi and Shim, Seongo and Bawakid, Abdullah and Khan, Muhammad Burhan and Subhani, Rauf (2014) Tracking of EEG Activity Using Motion Estimation to Understand Brain Wiring. [Citation Index Journal]

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Abstract

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.

Item Type:Citation Index Journal
Impact Factor:2.012
Subjects:Q Science > Q Science (General)
T Technology > T Technology (General)
Academic Subject One:Image Processing and Computer Vision
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
Departments > Electrical & Electronic Engineering
Mission Oriented Research > Health
ID Code:11374
Deposited By: Dr Aamir Saeed Malik
Deposited On:28 Apr 2015 02:54
Last Modified:28 Apr 2015 02:54

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