Automatic Sleep Stage Classification by a Density - Distance- Based K - means Clustering Algorithm with Amendments

Sleep staging has important significance for the monitoring, prevention and treatment of sleep disorders. In this study, the clustering algorithm of K-means is investigated in order to realize the automatic sleep stage classification. Unlike the traditional K-means clustering algorithm, density-dist...

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Vydané v:	2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) s. 1 - 6
Hlavní autori:	Yu, Ying, Wang, Bei, Jin, Jing, Wang, Xingyu
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2019
Predmet:	Clustering algorithms Electrodes Electroencephalography Signal processing algorithms Sleep Support vector machines
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