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

<https://repo.masters-masters.com/en/repos/francesco-mttl/MI-EEG-1D-CNN>

[Home](https://repo.masters-masters.com/en) › [francesco-mttl](https://repo.masters-masters.com/en/owners/francesco-mttl) › [MI-EEG-1D-CNN](https://repo.masters-masters.com/en/repos/francesco-mttl/MI-EEG-1D-CNN)

francesco-mttl/MI-EEG-1D-CNN has 176 stars on GitHub. Its RepoMasters card: Prototype tier. A new approach based on a 10-layer one-dimensional convolution…

| Field | Value |
| --- | --- |
| Owner | [francesco-mttl](https://repo.masters-masters.com/en/owners/francesco-mttl) |
| Stars | 176 |
| Forks | 18 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2020 |
| Topics | brain-computer-interface, artificial-neural-networks, neuroscience |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [francesco-mttl/MI-EEG-1D-CNN](https://github.com/francesco-mttl/MI-EEG-1D-CNN) |

## Repository

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

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.