Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject Depth of anaesthesia
Showing results 1 to 3 of 3
| Issue Date | Title | Author(s) |
|---|---|---|
| 2014 | A critical care monitoring system for depth of anaesthesia analysis based on entropy analysis and physiological information database | Wei, Q; Li, Y; Fan, S-Z; Liu, Q; Abbod, MF; Lu, C-W; Lin, T-Y; Jen, K-K; Wu, S-J; Shieh, J-S |
| 2016 | EEG artifacts reduction by multivariate empirical mode decomposition and multiscale entropy for monitoring depth of anaesthesia during surgery | Liu, Q; Chen, Y-F; Fan, S-Z; Abbod, MF; Shieh, J-S |
| 2018 | Sample entropy analysis for the estimating depth of anaesthesia through human EEG signal at different levels of unconsciousness during surgeries | Liu, Q; Ma, L; Fan, SZ; Abbod, MF; Shieh, JS |