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

Gandhi, Vaibhav ORCID: https://orcid.org/0000-0003-1121-7419, 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. . [Conference or Workshop Item]

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.

Actions (login required)

View Item

Statistics

DownloadsShow export options

Export as CSVXMLJSON

Activity Overview

6 month trend

0Downloads

6 month trend

415Hits

Additional statistics are available via IRStats2.