Metadata-Version: 2.1
Name: pyprep
Version: 0.2.2
Summary: A Python implementation of the preprocessing pipeline (PREP) for EEG data.
Home-page: http://github.com/sappelhoff/pyprep
Author: Stefan Appelhoff
Author-email: stefan.appelhoff@mailbox.org
License: MIT
Project-URL: Source, https://github.com/sappelhoff/pyprep
Project-URL: Bug Reports, https://github.com/sappelhoff/pyprep/issues
Description: [![Build Status](https://travis-ci.org/sappelhoff/pyprep.svg?branch=master)](https://travis-ci.org/sappelhoff/pyprep) [![codecov](https://codecov.io/gh/sappelhoff/pyprep/branch/master/graph/badge.svg)](https://codecov.io/gh/sappelhoff/pyprep) [![Documentation Status](https://readthedocs.org/projects/pyprep/badge/?version=latest)](http://pyprep.readthedocs.io/en/latest/?badge=latest) [![PyPI version](https://badge.fury.io/py/pyprep.svg)](https://badge.fury.io/py/pyprep)
        
        
        # 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)
        
Keywords: EEG artifact preprocessing data
Platform: UNKNOWN
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Programming Language :: Python
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Science/Research
Requires-Python: >=2.7
Description-Content-Type: text/markdown
Provides-Extra: test
