/Total-perspective-vortex-1

This project is the end of one of the Data-Science branch at 42 Paris. It requires the defendant to parse, analyze and predict movements from raw data comming from MNE and EGG libraries

Primary LanguagePythonMIT LicenseMIT

Total-perspective-vortex

42 2020-Learning to parse, analyze and predict on raw data from MNE/EGG data Status : Not finished yet

Total-perspective-vortex

Total-perspective-vortex is an advanced project in the algorithmic/artificial intelligence branch at 42 Paris. The goal of this project is to learn how to parse, analyze and predict from the raw data of MNE and EGG. Thanks to this data, we are able to predict, using the brain scan of subjects, if a subject is either going to move his hand or his feet.

Running the project

The project mark is : [Not delivered yet]

To test the project, you will have to first of all clone the repo. 2 different python scripts are waiting for you to launch. Just don't forget to download the different libraries needed, the downloading of the data will be automatically done, if you don't have downloaded it already.

python analyze.py

python pipeline.py

Contributing

Jules Spender

Authors

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

  • Project Management
  • Python
  • Documentation
  • MNE Data analysis
  • Mne Data predictions

Archive

data-source: https://archive.physionet.org/pn4/eegmmidb/S001/