bnelair/best-toolbox
A Python package for behavioral state analysis using EEG. BEST includes tools automated sleep classification of long-term iEEG data recorded using implantable neural stimulation and recording devices, removal of DBS artifacts and feature extraction.
This tool helps neuroscientists and clinical researchers automatically analyze long-term electrical brain signals (EEG data), particularly from implantable devices. You provide raw EEG data, and it outputs classifications of sleep stages, detected seizures, and extracted features related to brain activity. It's designed for those studying brain states and responses to stimulation in human or animal subjects.
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Use this if you need to automatically classify sleep, detect seizures, or extract specific features from long-term EEG data, especially when working with invasive recordings.
Not ideal if you're looking for a general-purpose EEG analysis tool for short-term, non-invasive recordings without a focus on behavioral state or stimulation artifacts.
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Language
Python
License
BSD-3-Clause
Category
Last pushed
Oct 23, 2024
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