Quantitative measures of EEG for prediction of outcome in cardiac arrest subjects treated with hypothermia: a literature review.
Cardiac arrest (CA) is the leading cause of death and disability in the United States. Early and accurate prediction of CA outcome can help clinicians and families to make a better-informed decision for the patient's healthcare. Studies have shown that electroencephalography (EEG) may assist in earl...
| Published in: | Journal of Clinical Monitoring & Computing Vol. 32; no. 6; pp. 977 - 993 |
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| Main Authors: | , , , |
| Format: | research Journal Article |
| Published: |
Springer Nature
Dec2018
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| Online Access: | View this record in EBSCOhost |