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.
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
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
2 maintainers
Release files for pyprep 0.1.0
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-0.1.0.tar.gz | 10.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyprep-0.1.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 19.2 kB
Release files / pyprep-0.1.0.tar.gz
| Download URL | pyprep-0.1.0.tar.gz |
|---|---|
| Size | 10.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / pyprep-0.1.0-py2.py3-none-any.whl
| Download URL | pyprep-0.1.0-py2.py3-none-any.whl |
|---|---|
| Size | 9.0 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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