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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sengupta, A. Routray, A. Kar, S. |
| Copyright Year | 2013 |
| Description | Author affiliation: Samsung India Software Oper., Bangalore, India (Kar, S.) || Dept. of Electr. Eng., IIT Kharagpur, Kharagpur, India (Sengupta, A.; Routray, A.) |
| Abstract | Coordination between brain areas has been extensively studied by analyzing the synchronization of EEG signals generated in these areas. This paper proposes a complex network structure of the brain using the Visibility Graph Similarity technique to study the change of connectivity among brain areas at various stages of an experiment involving sleep-deprived subjects. The parameters of the network have also been compared with that of a complex network with a randomly chosen degree of connectivity. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 1077633 |
| Page Count | 4 |
| File Format | |
| e-ISBN | 9781479922758 |
| DOI | 10.1109/INDCON.2013.6726126 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-12-13 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Brain Visibility Graph Technique EEG Synchronization Time series analysis Complex networks Complex Networks Fatigue Electroencephalography Synchronization Oscillators |
| Content Type | Text |
| Resource Type | Article |
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