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Keyword: Activity RegularizationOpen AccessArticle
11 Pages, 1,647 KB 
An Ensemble of Voting- based Deep Learning Models with Regularization Functions for Sleep Stage Classification
Abstract:
Sleep stage performs a vital role in people’s daily lives in the detection of sleep-related diseases. Conventional automated sleep stage classifier models are not efficient due to the complexity linked to the design of mathematical models and extraction of hand-engineering features. Further, quick oscillations amongst sleep stages frequently lead to indistinct feature extraction, which might…
Read More(This article belongs to Section Biomedical Engineering (EBI))