The temple university hospital EEG data corpus
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DATA REPORT article Front. Neurosci., 13 May 2016Sec. Neural Technology Volume 10 - 2016 | https://doi.org/10.3389/fnins.2016.00196
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The Temple University EEG corpus encompasses diverse EEG clinical settings from approximately 10,874 patients.
“This repository encompasses diverse EEG clinical settings from approximately 10,874 patients.”
From A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis (2024) · cites this paper as [37]
The Temple University EEG corpus database represents an extensive collection of EEG data acquired between 2000 and 2013.
“The Temple University EEG corpus database [37] represents an extensive collection of EEG data acquired between 2000 and 2013.”
From A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis (2024) · cites this paper as [37]
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- Authors
- Obeid, I., & Picone, J.
- Affiliations
- Temple University (US)
- ORCID
- Picone, Joseph
- Venue
- Frontiers in Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2016-05-13
- Volume
- 10
- Pages
- 196-196
- ISSN
- 1662-453X (ISSN-L)
- PMC
- PMC4865520
- OpenAlex
- W2345279893
- Cited by
- 528
- References
- 15
- Citations by year
- 2026: 86 · 2025: 99 · 2024: 82 · 2023: 71 · 2022: 49 · 2021: 56 · 2020: 39 · 2019: 18 · 2018: 19 · 2017: 9
- FWCI
- 9.76
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Neuroscience (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- TUScholarShare (Temple University) (submittedVersion, cc-by)
- Funders
- Defense Advanced Research Projects Agency (D13AP00065)
- National Science Foundation (1458411, 1305190)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
- Keywords
- EEG, neurophysiological data, epilepsy
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