Alternative sensor montage for Index based EEG monitoring. A systematic review.
Boris TufegdzicFrancisco A LoboEugene AchiSaba MottaCarla CarozziMassimo LampertiPublished in: Journal of clinical monitoring and computing (2024)
The main objective of this systematic review is to assess the reliability of alternative positions of processed electroencephalogram sensors for depth of anesthesia monitoring and its applicability in clinical practice. A systematic search was conducted in PubMed, Embase, Cochrane Library, Clinical trial.gov in accordance with reporting guidelines of PRISMA statement together with the following sources: Google and Google Scholar. We considered eligible prospective studies, written in the English language. The last search was run on the August 2023. Risk of bias and quality assessment were performed. Data extraction was performed by two authors and results were synthesized narratively owing to the heterogeneity of the included studies. Thirteen prospective observational studies (438 patients) were included in the systematic review after the final assessment, with significant diversity in study design. Most studies had a low risk of bias but due to lack of information in one key domain of bias (Bias due to missing data) the overall judgement would be No Information. However, there is no clear indication that the studies are at serious or critical risk of bias. Bearing in mind, the heterogeneity and small sample size of the included studies, current evidence suggests that the alternative infraorbital sensor position is the most comparable for clinical use when the standard sensor position in the forehead is not possible.
Keyphrases
- systematic review
- case control
- clinical practice
- clinical trial
- meta analyses
- end stage renal disease
- electronic health record
- chronic kidney disease
- newly diagnosed
- healthcare
- big data
- ejection fraction
- working memory
- randomized controlled trial
- functional connectivity
- prognostic factors
- machine learning
- study protocol
- optical coherence tomography
- artificial intelligence
- adverse drug
- health information
- phase iii
- clinical evaluation
- patient reported