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Developing a Tunable Q-Factor Wavelet Transform Based Algorithm for Epileptic EEG Feature Extraction

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)
ISBN: 9783319691817 (print) 9783319691824 (online)
Uncontrolled Keywords: brain signals; electroencephalogram; EEG; TQWT-SM; k-NN; epileptic seizures; nonlinear algorithm
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
FOR Classification > 0903 Biomedical Engineering
Faculty/School/Research Centre/Department > Centre for Applied Informatics
Faculty/School/Research Centre/Department > College of Science and Engineering
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 15 Aug 2019 06:16
Last Modified: 15 Aug 2019 06:16
URI: http://vuir.vu.edu.au/id/eprint/39172
DOI: https://doi.org/10.1007/978-3-319-69182-4_6
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Citations in Scopus: 3 - View on Scopus

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