A feature extraction technique based on tunable Q-factor wavelet transform for brain signal classification
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Al Ghayab, HR, Lin, Y, Siuly, Siuly 
ORCID: https://orcid.org/0000-0003-2491-0546 and Abdulla, Shahab ORCID: https://orcid.org/0000-0002-1193-6969
(2019)
A feature extraction technique based on tunable Q-factor wavelet transform for brain signal classification.
Journal of Neuroscience Methods, 312.
pp. 43-52.
ISSN 0165-0270
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/38134 |
| DOI | 10.1016/j.jneumeth.2018.11.014 |
| Official URL | https://www.sciencedirect.com/science/article/pii/... |
| Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Historical > FOR Classification > 1109 Neurosciences Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics |
| Keywords | electroencephalogram; EEG signal; EEG classification; machine learning; epilepsy |
| Citations in Scopus | 63 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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