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Denoising EEG Signals for Real-World BCI Applications Using GANs
Eoin Brophy
, Peter Redmond
, Andrew Fleury
, Maarten De Vos
,
Geraldine Boylan
, Tomás Ward
School of Medicine
INFANT Research Centre
Dublin City University
University College Cork
KU Leuven
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Computer Science
de-noising
100%
Generative Adversarial Networks
100%
Computer Interface
100%
Deep Learning Method
42%
Open Source
14%
Learning Approach
14%
Wearable Technology
14%
Artificial Intelligence
14%
Supervised Learning
14%
Unsupervised Learning
14%
Gold Standard
14%
Relative Performance
14%
Signal-to-Noise Ratio
14%
Time Series Data
14%
Data Augmentation
14%
Primary Signal
14%
Quantitative Metric
14%
Power Spectral Density
14%
Electroencephalogram
14%