Robust EEG ERP Classification
Version 1.0.0.0 (57.8 MB) by
Sam Nazari
EEG brain activity classification
Robust and Conventional Generalized Gaussian classification of artifacts from EEG brain activity is examined. PCA is used to learn the signal subspace in order to perform classification. Refer to the RobustDetectionVsConventionalDetection PDF file for specifics.
Cite As
Sam Nazari (2024). Robust EEG ERP Classification (https://github.com/snazari/RobustDetection), GitHub. Retrieved .
MATLAB Release Compatibility
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R2012b
Compatible with any release
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox >
- Sciences > Neuroscience > Human Brain Mapping > EEG/MEG/ECoG >
- Engineering > Biomedical Engineering > Biomedical Signal Processing >
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Robust VS Conventional
Versions that use the GitHub default branch cannot be downloaded
Version | Published | Release Notes | |
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1.0.0.0 |
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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.