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: 0000-0003-2491-0546, Abdulla, S 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 http://vuir.vu.edu.au/id/eprint/39172
DOI https://doi.org/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 Current > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > 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 4 - View on Scopus
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