Sleep Event Detection
Sleep Event Detection is a methodological framework in sleep signal analysis that identifies and classifies specific physiological occurrences, such as apneas, arousals, or limb movements, within polysomnographic or ambulatory sleep recordings by distinguishing them from background activity through signal特征-based pattern recognition.
496
Publications
22.1K
Citations
1.8K
Authors
721
Institutions
Publications per year
2017–2026
225
Parents
496
Estimating sleep parameters using an accelerometer without sleep diary
Vincent T. van Hees, Sèverine Sabia, Samuel E. Jones et al. · Scientific Reports · 2018 · 568 citations · Full text
Wake Detection Capacity of Actigraphy During Sleep
Jean Paquet, Anna Kawinska, Julie Carrier · SLEEP · 2007 · 355 citations · Full text
A survey on sleep assessment methods
Vanessa Ibáñez-del Valle, Josep Silva, Omar Cauli · PeerJ · 2018 · 326 citations · Full text
1–5 of 496
1.8K
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10
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8 publications · 279 citations
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7
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7
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1–5 of 1.8K
721
Stanford University
Stanford, United States
12 h-index
38 publications
3.9K citations
Harvard University
Cambridge, United States
12 h-index
23 publications
1.1K citations
Université de Montréal
Montreal, Canada
11 h-index
19 publications
1.7K citations
Technical University of Denmark
Kongens Lyngby, Denmark
11 h-index
25 publications
1.3K citations
Inserm
Paris, France
9 h-index
21 publications
2.9K citations
Yonsei University
Seoul, South Korea
9 h-index
35 publications
2.1K citations
Seoul National University
Seoul, South Korea
8 h-index
34 publications
1.9K citations

University of Ottawa
Ottawa, Canada
8 h-index
19 publications
499 citations
1–8 of 721
21 publications · 1.5K citations
19
h-index
16 publications · 1.1K citations
16
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12 publications · 889 citations
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JSR · 11 publications · 535 citations
11
h-index
10 publications · 627 citations
10
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