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EEG Signal Feature Selection Algorithm and Support Vector Machine Model in Patient's Fatigue Recognition
In March 2020, a cohort of 26 is treated critically ill hospitalized SARS-CoV-2 infected patients who received EEGs to assess unexplained altered mental status, loss of consciousness, or poor arousal and responsiveness. The objective of the present work is to develop a method that is able to automat...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8490845/ https://www.ncbi.nlm.nih.gov/pubmed/34631359 http://dx.doi.org/10.1007/s13369-021-06206-1 |