A feature extraction technique based on tunable Q-factor wavelet transform for brain signal classification

Full text for this resource is not available from the Research Repository.

Al Ghayab, HR, Lin, Y, Siuly, Siuly ORCID: 0000-0003-2491-0546 and Abdulla, Shahab ORCID: 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

Dimensions Badge

Altmetric Badge

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

Search Google Scholar

Repository staff login