Mithunjha/EarEEG_KnowledgeDistillation
Official implementation of "A Knowledge Distillation Framework for Enhancing Ear-EEG based Sleep Staging with Scalp-EEG Data"
This project helps researchers and clinicians improve the accuracy of sleep staging when using ear-EEG devices. It takes less precise ear-EEG data and combines it with insights from more comprehensive scalp-EEG recordings to produce enhanced, more reliable sleep stage classifications. This is designed for sleep researchers, neurologists, and medical device developers.
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Use this if you need to analyze sleep stages from ear-EEG data with higher accuracy, especially when scalp-EEG data is available for training a 'teacher' model.
Not ideal if you solely work with scalp-EEG data or if you do not have access to any scalp-EEG data for an initial training phase.
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Last pushed
Nov 07, 2022
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