A hybrid double-density dual-tree discrete wavelet transformation and marginal Fisher analysis for scoring sleep stages from unprocessed single-channel electroencephalogram
Author(s) -
Yan Liu,
Jie Gao,
Wei Cao,
Longxiao Wei,
Yanyang Mao,
Weimin Liu,
Wei Wang,
Zhenling Liu
Publication year - 2020
Publication title -
quantitative imaging in medicine and surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.766
H-Index - 21
eISSN - 2223-4292
pISSN - 2223-4306
DOI - 10.21037/qims.2020.02.01
Subject(s) - computer science , electroencephalography , transformation (genetics) , wavelet , channel (broadcasting) , dual (grammatical number) , sleep (system call) , pattern recognition (psychology) , tree (set theory) , algorithm , statistics , artificial intelligence , speech recognition , data mining , mathematics , neuroscience , psychology , computer network , biology , combinatorics , biochemistry , gene , operating system , art , literature
The use of a large, collaborative study of specialist graders can enhance the likelihood of good globalization. Overall, the novel approach learned by our network showcases the models based on each category.
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