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

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

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.

Girijesh Prasad | Damien Coyle | Vaibhav Gandhi | Laxmidhar Behera | Tm McGinnity

[1] T. Martin McGinnity,et al. EEG denoising with a recurrent quantum neural network for a brain-computer interface , 2011, The 2011 International Joint Conference on Neural Networks.