Dynamic assessment of signal entropy for prognostication and secondary brain insult detection after traumatic brain injury
Biosignal entropy of changes dynamically after TBI. The assessment of these variations augments individualized, dynamic, outcome prognostication and identification of secondary cerebral insults. Additionally, these explorations allow for further exploitation of the extensive physiological data lakes acquired for each TBI patient within an intensive care environment.
Authors
- Erta Beqiri (ORCID: https://orcid.org/0000-0002-8108-0000)
- Ari Ercole (ORCID: https://orcid.org/0000-0001-8350-8093)
- Xuhang Chen (ORCID: https://orcid.org/0000-0001-6000-3914)
- Ihsane Olakorede (ORCID: https://orcid.org/0009-0009-8283-305X)
- Peter J. Hutchinson (ORCID: https://orcid.org/0000-0002-2796-1835)
- Stefan Yu Bögli (ORCID: https://orcid.org/0000-0001-5386-0811)
- Peter Smielewski (ORCID: https://orcid.org/0000-0001-5096-3938)
Institutions
- University of Zurich (CH)
- University of Cambridge (GB)
- University Hospital of Zurich (CH)
Publication Details
- Journal
- Critical Care
- Published
- 2024-12-30
- DOI
- https://doi.org/10.1186/s13054-024-05228-z
- Citations
- 8
- Primary Topic
- Traumatic Brain Injury and Neurovascular Disturbances
- Type
- article
- Field-Weighted Citation Impact
- 2.95
Funders
- National Science Foundation
- National Institute for Health and Care Research
- Royal College of Surgeons of England
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Medical Research Council