Siamaknejad, Hossein and Liew, Wei Shiung and Loo, Chu Kiong (2019) Fractal dimension methods to determine optimum EEG electrode placement for concentration estimation. Neural Computing and Applications, 31 (3). pp. 945-953. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-017-3126-1.
Full text not available from this repository.Abstract
In this study, fractal dimension approaches were used for analyzing EEG to determine the optimum electrode placement to distinguish between concentration and relaxation states. The EEG of participants was recorded from multiple electrode placements while under relaxed state and while in a state of heightened mental activity. Higuchi and Katz algorithms were applied to extract the fractal dimension FD indices of windowed segments of the EEG. These were then plotted in a graph, and a simple threshold was applied to best divide the indices of relaxation and concentration. The Higuchi algorithm was found to be better than Katz at distinguishing between relaxation and concentration, and P3 was found to be the best position to measure concentration, with P8 being a close contender. © 2017, The Natural Computing Applications Forum.
| Item Type: | Article |
|---|---|
| Funders: | University of Malaya High Impact Research (HIR) Grant UM.C/625/1/HIR/MOHE/FCSIT/ 10 |
| Uncontrolled Keywords: | Attention estimation; Electroencephalogram; Fractal dimensions; Medical signals |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 16 Jan 2020 01:55 |
| Last Modified: | 16 Jan 2020 01:55 |
| URI: | http://eprints.um.edu.my/id/eprint/23448 |
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