Real-time Eeg Processing
Real-Time EEG Processing is a methodological framework within electroencephalogram analysis that enables the immediate acquisition, preprocessing, feature extraction, and interpretation of EEG signals with minimal latency, distinguishing it from offline or batch-processing approaches by its requirement for continuous, time-constrained neural data transformation and decision-making.
242
Publications
15.3K
Citations
897
Authors
378
Institutions
Publications per year
2017–2026
91
242
Gert Pfurtscheller · Frontiers in Neuroscience · 2010 · 622 citations · Full text
Real-time detection of brain events in EEG
J.J. Vidal · Proceedings of the IEEE · 1977 · 452 citations
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University of California San Diego
San Diego, United States
13 h-index
61 publications
13.4K citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
8 h-index
41 publications
4.9K citations
Nanyang Technological University
Singapore, Singapore
8 h-index
27 publications
2.6K citations
Lanzhou University
Lanzhou, China
5 h-index
23 publications
750 citations
Graz University of Technology
Graz, Austria
4 h-index
15 publications
2.6K citations

University of Toronto
Toronto, Canada
4 h-index
17 publications
458 citations

King Saud University
Riyadh, Saudi Arabia
4 h-index
8 publications
991 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
6 publications
260 citations
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10 publications · 692 citations
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11 publications · 1.4K citations
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6 publications · 537 citations
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5 publications · 240 citations
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5 publications · 823 citations
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