Niloy333/eegFloss

A Python package that can automatically identify artifacts in sleep EEG signals and detect data usability for sleep autoscoring

37
/ 100
Emerging

eegFloss helps sleep researchers and clinicians clean up raw sleep EEG recordings by automatically identifying and removing artifacts caused by device issues, movement, or environmental noise. You provide your sleep EEG data (EDF/BDF files) and optionally, existing sleep scores. The tool then outputs 'artifact-rejected' sleep scores, usability graphs, and hypnograms, providing a clearer picture of sleep stages for more reliable analysis. This is ideal for sleep researchers, neurologists, and technicians who analyze sleep study data.

Use this if you need to ensure the quality and usability of sleep EEG data by automatically detecting and filtering out common artifacts before further analysis or automatic sleep-stage scoring.

Not ideal if your data is not in EDF or BDF format, or if you require an integrated solution for both artifact detection and automatic sleep-stage scoring.

sleep-research EEG-analysis neurology polysomnography data-quality
No Package No Dependents
Maintenance 10 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 5 / 25

How are scores calculated?

Stars

18

Forks

1

Language

Python

License

MIT

Last pushed

Mar 01, 2026

Commits (30d)

0

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