Developing a Tunable Q-Factor Wavelet Transform Based Algorithm for Epileptic EEG Feature Extraction
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Al Ghayab, HR, Lin, Y, Siuly, Siuly 
ORCID: https://orcid.org/0000-0003-2491-0546, Abdulla, Shahab ORCID: https://orcid.org/0000-0002-1193-6969 and Wen, P
(2017)
Developing a Tunable Q-Factor Wavelet Transform Based Algorithm for Epileptic EEG Feature Extraction.
In: 6th International Conference on Health Information Science (HIS 2017), 7 October 2017-9 October 2017, Moscow, Russia.
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| Item type | Conference or Workshop Item (Paper) |
| URI | https://vu-9.eprints-hosting.org/id/eprint/39172 |
| DOI | 10.1007/978-3-319-69182-4_6 |
| Official URL | https://link.springer.com/chapter/10.1007%2F978-3-... |
| ISBN | 9783319691817 (print) 9783319691824 (online) |
| Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Historical > FOR Classification > 0903 Biomedical Engineering Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics Current > Division/Research > College of Science and Engineering |
| Keywords | brain signals; electroencephalogram; EEG; TQWT-SM; k-NN; epileptic seizures; nonlinear algorithm |
| Citations in Scopus | 7 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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