| Chapter title |
Tracking of EEG Activity Using Motion Estimation to Understand Brain Wiring.
|
|---|---|
| Chapter number | 9 |
| Book title |
Signal and Image Analysis for Biomedical and Life Sciences
|
| Published in |
Advances in experimental medicine and biology, October 2014
|
| DOI | 10.1007/978-3-319-10984-8_9 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-910983-1, 978-3-31-910984-8
|
| Authors |
Humaira Nisar, Aamir Saeed Malik, Rafi Ullah, Seong-O Shim, Abdullah Bawakid, Muhammad Burhan Khan, Ahmad Rauf Subhani |
| Editors |
Changming Sun, Tomasz Bednarz, Tuan D. Pham, Pascal Vallotton, Dadong Wang |
| 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 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. |
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