A time domain classification of steady-state visual evoked potentials using deep recurrent-convolutional neural networks Attia, Mohammed, Hettiarachchi, Imali, Hossny, Mohammed and Nahavandi, Saeid 2018, A time domain classification of steady-state visual evoked potentials using deep recurrent-convolutional neural networks, in ISBI 2018 : Proceedings of the International Symposium on Biomedical Imaging, IEEE, Piscataway, N.J., pp. 766-769, doi: 10.1109/ISBI.2018.8363685. Attached Files Name Description MIMEType Size Downloads Title A time domain classification of steady-state visual evoked potentials using deep recurrent-convolutional neural networks Author(s) Attia, Mohammed orcid.org/0000-0002-4220-0970 Hettiarachchi, Imali orcid.org/0000-0002-1593-6296 Hossny, Mohammed orcid.org/0000-0002-0360-5270 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Conference name Biomedical Imaging. Symposium (2018 : Washington, D.C.) Conference location Washington, D.C. Conference dates 2018/04/04 - 2018/04/07 Title of proceedings ISBI 2018 : Proceedings of the International Symposium on Biomedical Imaging Publication date 2018 Start page 766 End page 769 Total pages 4 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) EEG BCI SSVEP CNN RNN time domain ISBN 9781538636367 ISSN 1945-7928 1945-8452 Language eng DOI 10.1109/ISBI.2018.8363685 Field of Research 090302 Biomechanical Engineering 080106 Image Processing Socio Economic Objective 920502 Health Related to Ageing HERDC Research category E1 Full written paper - refereed Copyright notice ©2018, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30109627 Document type: Conference Paper Collections: Institute for Frontier Materials GTP Research Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 22 Jun 2018, 09:18:17 EST Sat, 23 Jun 2018, 05:00:15 EST Mon, 25 Jun 2018, 08:17:02 EST Mon, 30 Jul 2018, 15:54:37 EST Wed, 08 Aug 2018, 14:29:09 EST Wed, 08 Aug 2018, 14:32:53 EST Sat, 02 Feb 2019, 01:30:53 EST Filtered Full Citation counts:   Cited 5 times in TR Web of Science Cited 7 times in Scopus Search Google Scholar Access Statistics: 296 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Fri, 22 Jun 2018, 09:18:17 EST

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