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The Temple University Hospital EEG Data Corpus

Obeid, Iyad ; Picone, Joseph

Frontiers in neuroscience, 2016-05, Vol.10, p.196-196 [Periódico revisado por pares]

Switzerland: Frontiers Research Foundation

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Título:
The Temple University Hospital EEG Data Corpus
Autor: Obeid, Iyad ; Picone, Joseph
Assuntos: Algorithms ; Archives & records ; Artificial intelligence ; big data ; Brain injury ; Brain research ; Chronic traumatic encephalopathy ; Clinical Trials as Topic ; Conflicts of interest ; Consortia ; Convulsions & seizures ; EEG ; Electroencephalography ; Engineering ; Epilepsy ; Learning algorithms ; Machine learning ; Medical records ; Neuroscience ; Patients ; Signal processing ; Software ; Transcription ; Trauma
É parte de: Frontiers in neuroscience, 2016-05, Vol.10, p.196-196
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
This article was submitted to Neural Technology, a section of the journal Frontiers in Neuroscience
Edited by: Mikhail Lebedev, Duke University, USA
Reviewed by: Duygu Kuzum, University of California, San Diego, USA; Ervin Sejdic, University of Pittsburgh, USA; Ivan Selesnick, New York University, USA; Xiaomu Song, Widener University, USA; Zhanpeng Jin, Binghamton University, USA
Descrição: While human interpretation is still the gold standard for EEG analysis in the clinic, a host of software tools exist to facilitate the process or to make predictive analyses such as seizure prediction. [...]there is an increased awareness on brain injury owing to both the influx of injured warfighters and numerous high-profile athletes found to have chronic brain damage (McKee et al., 2009; Stern et al., 2011). Various levels of image processing were employed to improve the image quality before applying optical character recognition (OCR) to convert the images into text. [...]each session folder includes one or more EEG (.edf) data files as well as the clinician report in .txt format.
Editor: Switzerland: Frontiers Research Foundation
Idioma: Inglês

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The Temple University Hospital EEG Data Corpus

Obeid, Iyad ; Picone, Joseph

Switzerland: Frontiers Research Foundation

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