A Holistic Strategy for Classification of Sleep Stages with EEG

Manual sleep stage scoring is usually implemented with the help of sleep specialists by means of visual inspection of the neurophysiological signals of the patient. As it is a very hectic task to perform, automated sleep stage classification systems were developed in the past, and advancements are b...

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Bibliographic Details
Main Authors:	Jeong, I.C (Author), Prabhakar, S.K (Author), Rajaguru, H. (Author), Ryu, S. (Author), Won, D.-O (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	Biomedical signal processing classification Classification (of information) Classification system clustering Clustering algorithms Clusterings Computer aided diagnosis dimensionality reduction Dimensionality reduction EEG signals Extraction feature extraction Feature extraction Features extraction Learning algorithms Long short-term memory Matrix factorization Novel techniques Principal component analysis Regression analysis selection Selection Singular value decomposition Sleep research Sleep stage Sleep stages classifications Visual inspection
Online Access:	View Fulltext in Publisher

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View Fulltext in Publisher

A Holistic Strategy for Classification of Sleep Stages with EEG

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