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Package used to analyze preprocess edf files for the ENSEMBLE2 study

Project description

PyPI version License: GPL v3

ENSEMBLE EEG

Ensemble EEG is a library of EEG analyis tools for the ENSEMBLE study. As of today it is focuses on 5 seperate things:

  • Anonymizing EDF files in accordance with the ENSEMBLE study and the requirements of EDF+
  • Fixing EDF headers to adhere to the EDF+ standard
  • Converting BRM to EDF+ files
  • Combining seperate aEEG channels into one EDF+ file
  • Renaming EEG files according to ENSEMBLE and BIDS standards

Getting started

Prerequisites

The following is required for the use of this software

  • Python 3.10 & pip
    • For instructions, please refer to the following link

Installation

python -m pip install ensemble_eeg

Usage

Start python

  1. From command line
    1. Open cmd / terminal / powershell or your preferred command line interpreter
    2. Type python or python3
  2. Using your preferred python interpreter
    1. Jupyter notebook
    2. PyCharm
    3. Spyder

Anonymizing EDF-files

from ensemble_eeg import ensemble_edf
ensemble_edf.anonymize_edf_header("path/2/your/edf/file") # for windows users, type an r before the " to ensure the use of raw strings (r"path/2/your/edf/file") 

Fixing EDF headers

from ensemble_eeg import ensemble_edf
ensemble_edf.fix_edf_header("path/2/your/edf/file") # for windows users, type an r before the " to ensure the use of raw strings (r"path/2/your/edf/file") 

Combine left and right aEEG channels into one single file

from ensemble_eeg import ensemble_edf
ensemble_edf.combine_aeeg_channels('path/2/your/left/channel', 'path/2/your/right/channel', 'new_filename') # for windows users, type an r before the " to ensure the use of raw strings (r"path/2/your/edf/file") 

Rename EDF-files according to BIDS and ENSEMBLE standards

from ensemble_eeg import ensemble_edf
ensemble_edf.rename_for_ensemble('path/2/your/edf/file') # for windows users, type an r before the " to ensure the use of raw strings (r"path/2/your/edf/file") 

Example scripts for specific situations

1) File is already .edf, but you do not know whether header is EDF+, the file is not anonymized, and not renamed
from ensemble_eeg import ensemble_edf
file = 'path/2/your/edf/file' # for windows users, type an r before the " to ensure the use of raw strings (r"path/2/your/edf/file") 
ensemble_edf.fix_edf_header(file)       # for header check
ensemble_edf.anonymize_edf_header(file) # for anonymization

anonymized_file = 'path/2/your/anonymized/edf/file' # for windows users, type an r before the " to ensure the use of raw strings (r"path/2/your/edf/file") 
ensemble_edf.rename_for_ensemble(file)  # for renaming
2) Your file is .brm and you want to convert it to .edf
from ensemble_eeg import brm_to_edf
from ensemble_eeg import ensemble_edf
brm_file = 'path/2/your/brm/file' # for windows users, type an r before the " to ensure the use of raw strings (r"path/2/your/brm/file") 
brm_to_edf.convert_brm_to_edf(brm_file)     # for conversion, output edf is already anonymized
edf_file = 'path/2/your/edf/file'           # check which file was made in previous step
ensemble_edf.rename_for_ensemble(edf_file)  # for renaming
3) Your files are .edf, but left and right channels are seperate
from ensemble_eeg import ensemble_edf
left_file = 'path/2/your/left/edf/file' # for windows users, type an r before the " to ensure the use of raw strings (r"path/2/your/edf/file") 
right_file = 'path/2/your/right/edf/file' # for windows, type an r before the " to ensure the use of raw strings (r"path/2/your/edf/file") 
ensemble_edf.combine_aeeg_channels(left_file, right_file) # output is automatically anonymized
ensemble_edf.rename_for_ensemble(file)                    # for renaming
4) You want to anonymize multiple .edf files in the same directory
from ensemble_eeg import ensemble_edf
import glob
import os
edf_directory = 'path/2/your/left/edf/directory' # for windows users, type an r before the " to ensure the use of raw strings (r"path/2/your/edf/file") 
edf_files = glob.glob(os.path.join(edf_directory, "*.edf"))
for file in edf_files:
      ensemble_edf.fix_edf_header(file) 
      ensemble_edf.anonymize_edf_header(file) 
      
      anonymized_filename = Path(file).stem + "_ANONYMIZED" + Path(file).suffix
      ensemble_edf.rename_for_ensemble(anonymized_filename)                    
5) You want to convert multiple .brm files in the same directory
from ensemble_eeg import brm_to_edf
import glob
import os
brm_directory = 'path/2/your/left/edf/directory' # for windows users, type an r before the " to ensure the use of raw strings (r"path/2/your/edf/file") 
brm_files = glob.glob(os.path.join(brm_directory, "*.brm"))
for file in brm_files:
      brm_to_edf.convert_brm_to_edf(file) 

For more scripts, please refer to the demos folder

Acknowledgements

Software development has been funded by La Fondation Paralysie Cérébrale under grant ENSEMBLE.

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