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Quantitative EEG markers to prognosticate critically ill patients with COVID-19: A retrospective cohort study
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
International Federation of Clinical Neurophysiology. Published by Elsevier B.V.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274989/ https://www.ncbi.nlm.nih.gov/pubmed/32544837 http://dx.doi.org/10.1016/j.clinph.2020.06.001 |
| _version_ | 1783542688809746432 |
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| author | Pati, Sandipan Toth, Emilia Chaitanya, Ganne |
| author_facet | Pati, Sandipan Toth, Emilia Chaitanya, Ganne |
| author_sort | Pati, Sandipan |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7274989 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2020 |
| publisher | International Federation of Clinical Neurophysiology. Published by Elsevier B.V. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-72749892020-06-08 Quantitative EEG markers to prognosticate critically ill patients with COVID-19: A retrospective cohort study Pati, Sandipan Toth, Emilia Chaitanya, Ganne Clin Neurophysiol Article International Federation of Clinical Neurophysiology. Published by Elsevier B.V. 2020-08 2020-06-06 /pmc/articles/PMC7274989/ /pubmed/32544837 http://dx.doi.org/10.1016/j.clinph.2020.06.001 Text en © 2020 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
| spellingShingle | Article Pati, Sandipan Toth, Emilia Chaitanya, Ganne Quantitative EEG markers to prognosticate critically ill patients with COVID-19: A retrospective cohort study |
| title | Quantitative EEG markers to prognosticate critically ill patients with COVID-19: A retrospective cohort study |
| title_full | Quantitative EEG markers to prognosticate critically ill patients with COVID-19: A retrospective cohort study |
| title_fullStr | Quantitative EEG markers to prognosticate critically ill patients with COVID-19: A retrospective cohort study |
| title_full_unstemmed | Quantitative EEG markers to prognosticate critically ill patients with COVID-19: A retrospective cohort study |
| title_short | Quantitative EEG markers to prognosticate critically ill patients with COVID-19: A retrospective cohort study |
| title_sort | quantitative eeg markers to prognosticate critically ill patients with covid-19: a retrospective cohort study |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274989/ https://www.ncbi.nlm.nih.gov/pubmed/32544837 http://dx.doi.org/10.1016/j.clinph.2020.06.001 |
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