Electroencephalogram Segmentation
Electroencephalogram Segmentation is a signal processing technique that partitions a continuous electroencephalogram signal into discrete, meaningful temporal intervals based on neurological events or cognitive states, enabling the analysis of specific brain activities within localized time frames.
103
Publications
5.3K
Citations
319
Authors
159
Institutions
Publications per year
2017–2026
24
103
1–5 of 103
319
5
h-index
5
h-index
4
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4
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Rutgers, The State University of New Jersey, United States
4 publications · 68 citations
4
h-index
1–5 of 319
159
Max Planck Institute for Biophysical Chemistry
Göttingen, Germany
6 h-index
16 publications
1.3K citations
University Hospital of Zurich
Zurich, Switzerland
5 h-index
9 publications
3.3K citations

Iran University of Science and Technology
Tehran, Iran
5 h-index
9 publications
643 citations
Massachusetts General Hospital
Boston, United States
5 h-index
15 publications
586 citations

McGill University
Montreal, Canada
4 h-index
6 publications
370 citations
Montreal Neurological Institute and Hospital
Montreal, Canada
4 h-index
6 publications
370 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
4 h-index
7 publications
113 citations
Inserm
Paris, France
3 h-index
3 publications
59 citations
1–8 of 159
7 publications · 1.3K citations
7
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4 publications · 122 citations
4
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3 publications · 159 citations
3
h-index
3 publications · 337 citations
3
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3 publications · 76 citations
3
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1–5