EEG filtering with quantum neural networks for a Brain-Computer Interface (BCI)

Conference item

Gandhi, V., Prasad, G., Coyle, D., Behera, L. and McGinnity, T. 2012. EEG filtering with quantum neural networks for a Brain-Computer Interface (BCI). Young researchers futures meeting: Neural engineering. University of Warwick 19 - 21 Sep 2012 pp. 21
TitleEEG filtering with quantum neural networks for a Brain-Computer Interface (BCI)
AuthorsGandhi, V., Prasad, G., Coyle, D., Behera, L. and McGinnity, T.
Abstract

Electroencephalogram (EEG) recorded during motor imagery (MI) based communication using a Brain-computer interface (BCI) is inherently embedded with non-Gaussian noise while the actual noise-free EEG has so far been elusive. This paper presents a novel neural information processing architecture which involves deploying the Schrodinger Wave Equation (SWE) to filter noise from EEG.

ConferenceYoung researchers futures meeting: Neural engineering
Page range21
Publication process dates
Deposited20 Aug 2013
Output statusPublished
Web address (URL)http://www.raeng.org.uk/news/releases/pdf/Young_researchers_futures_meeting_Neural_engineering.pdf
LanguageEnglish
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