EEG filtering with Quantum Neural Networks for a Brain-Computer Interface

V Gandhi; G Prasad; DH Coyle; Laxmidhar Behera; TM McGinnity

EEG filtering with Quantum Neural Networks for a Brain-Computer Interface

V Gandhi, G Prasad, DH Coyle, Laxmidhar Behera, TM McGinnity

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Abstract

INTRODUCTION
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.

Original language	English
Title of host publication	Unknown Host Publication
Place of Publication	United Kingdom
Publisher	University of Warwick
Publication status	Published - 19 Sept 2012
Event	Royal Academy of Engineering Young Researchers Futures Meeting on Neural Engineering - Duration: 19 Sept 2012 → …

Conference

Conference	Royal Academy of Engineering Young Researchers Futures Meeting on Neural Engineering
Period	19/09/12 → …

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https://pure.ulster.ac.uk/en/publications/eeg-filtering-with-quantum-neural-networks-for-a-brain-computer-i-3

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Gandhi, V, Prasad, G, Coyle, DH, Behera, L & McGinnity, TM 2012, EEG filtering with Quantum Neural Networks for a Brain-Computer Interface. in Unknown Host Publication. University of Warwick, United Kingdom, Royal Academy of Engineering Young Researchers Futures Meeting on Neural Engineering, 19/09/12. <https://pure.ulster.ac.uk/en/publications/eeg-filtering-with-quantum-neural-networks-for-a-brain-computer-i-3>

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abstract = "INTRODUCTION 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. ",

author = "V Gandhi and G Prasad and DH Coyle and Laxmidhar Behera and TM McGinnity",

year = "2012",

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day = "19",

language = "English",

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T1 - EEG filtering with Quantum Neural Networks for a Brain-Computer Interface

AU - Gandhi, V

AU - Prasad, G

AU - Coyle, DH

AU - Behera, Laxmidhar

AU - McGinnity, TM

PY - 2012/9/19

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N2 - INTRODUCTION 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.

AB - INTRODUCTION 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.

M3 - Chapter in a published conference proceeding

BT - Unknown Host Publication

PB - University of Warwick

CY - United Kingdom

T2 - Royal Academy of Engineering Young Researchers Futures Meeting on Neural Engineering

Y2 - 19 September 2012

ER -

EEG filtering with Quantum Neural Networks for a Brain-Computer Interface

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