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A Novel, Fast and Efficient Single-Sensor Automatic Sleep... | ResearchHub
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A Novel, Fast and Efficient Single-Sensor Automatic Sleep-Stage Classification Based on Complementary Cross-Frequency Coupling Estimates
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Authors
Stavros Dimitriadis
4 more
Stavros Dimitriadis
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Stavros Dimitriadis
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David Linden
Published
July 7, 2017
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Preprint Server
Topics
Biology
Neuroscience
Computer Science
Artificial Intelligence
Naive Bayes Classifier
Show all topics
DOI
10.1101/160655
License
CC-BY-NC
Other Formats
PDF
Supporters
Support the authors with ResearchCoin
Tip RSC
Preprint Server
Topics
Biology
Neuroscience
Computer Science
Artificial Intelligence
Naive Bayes Classifier
Show all topics
DOI
10.1101/160655
License
CC-BY-NC
Other Formats
PDF
