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
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|---|---|---|---|---|---|---|---|---|---|---|
| Neuromorphic Computing Guide | 191 | 4 months ago | Python | |||||||
| Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures. | ||||||||||
| Mi Eeg 1d Cnn | 102 | 2 years ago | n,ull | gpl-3.0 | Python | |||||
| 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 | ||||||||||
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