Metadata-Version: 2.1
Name: ieegprep
Version: 1.0.0
Summary: A package to read and pre-process Intracranial Electroencephalography (iEEG) data that is structured according to the Brain Imaging Data Structure (BIDS)
Author-email: Max van den Boom <m.a.vandenboom84@gmail.com>
License: GPLv3
Project-URL: homepage, https://github.com/MultimodalNeuroimagingLab/ieegprep
Project-URL: documentation, https://github.com/MultimodalNeuroimagingLab/ieegprep
Project-URL: repository, https://github.com/MultimodalNeuroimagingLab/ieegprep
Keywords: intracranial,electroencephalography,ieeg,BIDS
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE

# IeegPrep
IeegPrep is a python library to read and pre-process Intracranial Electroencephalography (iEEG) data that is structured according to the Brain Imaging Data Structure (BIDS) 


## Install

```
pip install ieegprep
```

## Usage

```
...
```


## Acknowledgements

- Written by Max van den Boom (Multimodal Neuroimaging Lab, Mayo Clinic, Rochester MN)
- Dependencies:
  - PyMef by Jan Cimbalnik, Matt Stead, Ben Brinkmann, and Dan Crepeau (https://github.com/msel-source/pymef)
  - NumPy
  - Pandas
  - psutil

- This project was funded by the National Institute Of Mental Health of the National Institutes of Health Award Number R01MH122258 to Dora Hermes
