PrototypeCommon
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
Nearby in Python
All Python repos- seedleap/zing-world-modelStars: 176PythonPrototype
- Lucasuiii/modeling-workbenchStars: 176PythonPrototype
- GroundedCoreAI/nexusdeskStars: 176PythonPrototype
- MacSysadmin/pymacadminStars: 176PythonPrototype
- leah/python-oauthStars: 176PythonPrototype
- tobami/overmindStars: 176PythonPrototype