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

Gandhi, Vaibhav, Prasad, Girijesh, Coyle, Damien, Behera, Laxmidhar and McGinnity, T. (2012) EEG filtering with quantum neural networks for a Brain-Computer Interface (BCI). In: Young researchers futures meeting: Neural engineering, 19-21 September 2012, University of Warwick.

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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.

Item Type: Conference or Workshop Item (Lecture)
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 11509
Useful Links:
Depositing User: Vaibhav Gandhi
Date Deposited: 20 Aug 2013 05:15
Last Modified: 13 Oct 2016 14:28
URI: https://eprints.mdx.ac.uk/id/eprint/11509

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