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An extended clinical EEG dataset with 15,300 automatically labelled recordings for pathology decoding
Automated clinical EEG analysis using machine learning (ML) methods is a growing EEG research area. Previous studies on binary EEG pathology decoding have mainly used the Temple University Hospital (TUH) Abnormal EEG Corpus (TUAB) which contains approximately 3,000 manually labelled EEG recordings....
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432245/ https://www.ncbi.nlm.nih.gov/pubmed/37544168 http://dx.doi.org/10.1016/j.nicl.2023.103482 |