Arousal Detection
Arousal Detection is a computational method in sleep signal analysis that identifies transient shifts in central nervous system activity during sleep by distinguishing brief episodes of increased electroencephalogram (EEG) frequency and amplitude characteristic of partial awakenings from stable sleep stages.
315
Publications
17.7K
Citations
1.2K
Authors
532
Institutions
Publications per year
2017–2026
145
315
EEG Arousals: Scoring Rules and Examples
SLEEP · 1992 · 1.6K citations · Full text
Nursing, Neurology, Neuroscience +14
Tracking brain arousal fluctuations with fMRI
Catie Chang, David A. Leopold, Marieke L. Schölvinck et al. · Proceedings of the National Academy of Sciences · 2016 · 361 citations · Full text
Differential entropy feature for EEG-based vigilance estimation
Li-Chen Shi, Yingying Jiao, Bao‐Liang Lu · 2013 · 348 citations
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Harvard University
Cambridge, United States
8 h-index
23 publications
2.9K citations
Stanford University
Stanford, United States
6 h-index
14 publications
518 citations

Harbin Institute of Technology
Harbin, China
5 h-index
16 publications
441 citations
University of Southern California
Los Angeles, United States
4 h-index
8 publications
336 citations
Massachusetts General Hospital
Boston, United States
4 h-index
5 publications
495 citations
Leipzig University
Leipzig, Germany
4 h-index
18 publications
558 citations

Universidade da Coruña
A Coruña, Spain
4 h-index
9 publications
322 citations

University of Oulu
Oulu, Finland
4 h-index
11 publications
334 citations
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20 publications · 2.7K citations
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9 publications · 331 citations
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Repository · 8 publications · 1.1K citations
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6 publications · 854 citations
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5 publications · 208 citations
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