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# pyprep
A python implementation of the Preprocessing Pipeline (PREP) for EEG data.
Working with [MNE-Python](https://www.martinos.org/mne/stable/index.html) for EEG data processing and analysis.
For a basic use example, see [the documentation.](http://pyprep.readthedocs.io/en/latest/examples.html)
Also contains a function to detect outlier epochs inspired by the FASTER algorithm.
# Installation
Probably easiest through:
pip install pyprep
For development version:
`bash 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 ` # 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](https://doi.org/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](https://doi.org/10.1016/j.jneumeth.2010.07.015)
2 maintainers
Release files for pyprep 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyprep-0.2.2.tar.gz | 11.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyprep-0.2.2-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 23.7 kB
Release files / pyprep-0.2.2.tar.gz
| Download URL | pyprep-0.2.2.tar.gz |
|---|---|
| Size | 11.8 kB |
| Tags | Source |
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Release files / pyprep-0.2.2-py2.py3-none-any.whl
| Download URL | pyprep-0.2.2-py2.py3-none-any.whl |
|---|---|
| Size | 11.8 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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