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francesco-mttl/MI-EEG-1D-CNN

A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm and a limited number of EEG channels. Paper: https://doi.org/10.1088/1741-2552/ac4430

Owner
francesco-mttl (personal account)
Stars
Stars: 176
Forks
Forks: 18
Language
Python
License
GPL-3.0
Created
2020
Topics
brain-computer-interfaceartificial-neural-networksneuroscience
Tier
Prototype (100 to 249 ★) What this tier means
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