A python implementation of the Preprocessing Pipeline (PREP) for EEG data
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README.md

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pyprep

A python implementation of the Preprocessing Pipeline (PREP) for EEG data.

Working with MNE-Python for EEG data processing and analysis.

For a basic use example, see the documentation.

Also contains a function to detect outlier epochs inspired by the FASTER algorithm.

Installation

Probably easiest through:

pip install pyprep

For development version:

git clone https://github.com/sappelhoff/pyprep #clone pyprep locally
cd pyprep #go to pyprep directory
pip install -r requirements.txt #install all dependencies
pip install -e . #install pyprep

Contributions

... contributions are welcome. You should have read the references below. After that, feel free to submit pull requests. Be sure to always include tests for all new code that you introduce (whenever possible).

Reference

Bigdely-Shamlo, N., Mullen, T., Kothe, C., Su, K.-M., & Robbins, K. A. (2015). The PREP pipeline: standardized preprocessing for large-scale EEG analysis. Frontiers in Neuroinformatics, 9, 16. doi: 10.3389/fninf.2015.00016

Nolan, H., Whelan, R., & Reilly, R. B. (2010). FASTER: fully automated statistical thresholding for EEG artifact rejection. Journal of neuroscience methods, 192(1), 152-162. doi: 10.1016/j.jneumeth.2010.07.015