preprocessing_pipeline_mne

This repository serves as a resource to perform preprocessing steps using the mne-python library.

You will learn how to..

• ..load and convert EEG and Marker streams from xdf files.
• ..handle multiple runs and blocks for multiple subjects.
• ..apply filters, re-reference EEG, clean data (statistically and visually).
• ..further use the pre-processed data.

Installation

1. Clone the repository
2. pip install -r requirements.txt
3. pip install "mne>=1.0" matplotlib mne-qt-browser
4. Download the data from here

How to use

• Run jupyter-lab or jupyter notebook

• Open 01_preprocessing_pipeline.ipynb and modify the DATA_PATH to your local path.

• Have fun playing around and investigating the data.

Additional information

• This code was implemented and tested with python 3.10