2022
DOI: 10.1142/s0129065722500253
|View full text |Cite
|
Sign up to set email alerts
|

Quantitative Assessment of Electroencephalogram Reactivity in Comatose Patients on Extracorporeal Membrane Oxygenation

Abstract: Objective assessment of the brain’s responsiveness in comatose patients on Extracorporeal Membrane Oxygenation (ECMO) support is essential to clinical care, but current approaches are limited by subjective methodology and inter-rater disagreement. Quantitative electroencephalogram (EEG) algorithms could potentially assist clinicians, improving diagnostic accuracy. We developed a quantitative, stimulus-based algorithm to assess EEG reactivity features in comatose patients on ECMO support. Patients underwent a s… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 28 publications
0
1
0
Order By: Relevance
“…In this pilot study, changes in EEG reactivity induced spectral power changes in specific frequency bands. 63 Furthermore, the use of aEEG is becoming more prominent in ECMO patients. Amplitude-integrated EEG is a convenient, continuous neuromonitoring technique that offers the advantages of 24 hours bedside availability, simpler patient interfaces (cross-cerebral electrodes), and continuous algorithmic data analysis without the need for human expert interpretation.…”
Section: Continuous Neuromonitoring Devicesmentioning
confidence: 99%
“…In this pilot study, changes in EEG reactivity induced spectral power changes in specific frequency bands. 63 Furthermore, the use of aEEG is becoming more prominent in ECMO patients. Amplitude-integrated EEG is a convenient, continuous neuromonitoring technique that offers the advantages of 24 hours bedside availability, simpler patient interfaces (cross-cerebral electrodes), and continuous algorithmic data analysis without the need for human expert interpretation.…”
Section: Continuous Neuromonitoring Devicesmentioning
confidence: 99%