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.gitignore
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
env/
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
.hypothesis/
.pytest_cache/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
docs/_build/
docs/savefig/
# PyBuilder
target/
# Jupyter Notebook
.ipynb_checkpoints
# pyenv
.python-version
# celery beat schedule file
celerybeat-schedule
# SageMath parsed files
*.sage.py
# dotenv
.env
# virtualenv
.venv
venv/
ENV/
# Spyder project settings
.spyderproject
.spyproject
# vscode stuff
.vscode/
# PyCharm stuff
.idea/
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.Rhistory
test.py
try_stuff.py
try-stuff.py
trystuff.py
try.py
# emacs temp file
*~
data/eeg_restingstate_3000hz.edf
data/eeg_resting_8min_3000hz.edf
data/gudb/ECGs.csv
data/gudb/Rpeaks.csv
data/mit_arrhythmia/mit-bih-arrhythmia-database-1.0.0/*
data/mit_arrhythmia/ECGs.csv
data/mit_arrhythmia/Rpeaks.csv
data/mit_nst/mit-bih-noise-stress-test-database-1.0.0/*
data/mit_nst/ECGs.csv
data/mit_nst/Rpeaks.csv
data/mit_normal/mit-bih-normal-sinus-rhythm-database-1.0.0/*
data/mit_normal/ECGs.csv
data/mit_normal/Rpeaks.csv
data/ludb/mit-bih-normal-sinus-rhythm-database-1.0.0/*
data/ludb/ECGs.csv
data/ludb/Rpeaks.csv
data/ludb/ludb-1.0.0.physionet.org
benchmarks/ecg_preprocessing/make_data.py
data/eogdb/eogdb.csv
data/eogdb/eogdb_task1.csv
data/eogdb/eogdb_task2.csv
data/eogdb/eogdb_task3.csv
data/eogdb/eogdb_task4.csv
data/rs_eeg_texas/data/
data/rebel_eeg_restingstate_fr
data/rebel_eeg_restingstate_sg
docs/readme/README_popularity.py
paper/NeuroKit_Submission/
data/fantasia/fantasia-database-1.0.0
data/fantasia/ECGs.csv
data/fantasia/Rpeaks.csv
data/RealObjectsEEG
studies/hrv_structure/efa.csv
studies/hrv_structure/data_stability_1.csv
studies/hrv_structure/data2.csv
data/lemon/lemon/*
data/srm_restingstate_eeg/eeg/
data/testretest_restingstate_eeg/eeg/
data/mit_nst/data2.csv
data/mit_long-term/download_mit_long-term.py
*.atr
*.dat
*.dat
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14046.atr
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14046.dat
data/mit_long-term/download_mit_long-term.py
*.atr
*.atr
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14046.dat
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14046.atr
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14046.dat
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14046.hea
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14046.hea-
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14046.xws
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14134.atr
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14134.dat
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14134.hea
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14134.hea-
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14134.xws
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14149.atr
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14149.dat
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14149.hea
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14149.hea-
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14149.xws
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14157.atr
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14157.dat
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14157.hea
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14157.hea-
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14157.xws
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14172.atr
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14172.dat
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14172.hea
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14172.hea-
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14172.xws
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14184.atr
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14184.dat
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14184.hea
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14184.hea-
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/14184.xws
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/15814.atr
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/15814.dat
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/15814.hea
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/15814.hea-
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/15814.xws
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/ANNOTATORS
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/RECORDS
data/mit_long-term/mit-bih-long-term-ecg-database-1.0.0/SHA256SUMS.txt
data/mit_long-term/ECGs.csv
data/mit_long-term/ECGs.csv
.DS_Store
docs/readme/README_popularity.py
paper/OHBM2022/OHBM2022_Makowski.mp4
studies/complexity_structure/README_cache/
studies/complexity_structure/manuscript_cache/
studies/complexity_eeg/data_attractor.csv
studies/complexity_eeg/data_delay.csv