DocumentCode
2085047
Title
Accurately Monitoring the Depth of Anaesthesia Using an Intelligent Method
Author
Li, Yingchun ; Wang, Zicong ; Wen, Peng ; Meng, Max Q H
Author_Institution
Shenzhen Inst. of Adv. Technol., Shenzhen
fYear
2007
fDate
23-27 May 2007
Firstpage
384
Lastpage
387
Abstract
This paper introduces the development of a monitoring system to depth of anaesthesia in a surgery. We first developed the audiory evoked potential (AEP) method and the bispectrium method. Then we combined them together using a off-line trained neural networks. The preliminary results show that our calculated index is closely relative to the depth of anaesthesia.
Keywords
auditory evoked potentials; drug delivery systems; learning (artificial intelligence); patient monitoring; surgery; anaesthesia depth monitoring; audiory evoked potential method; bispectrium method; intelligent method; surgery; trained neural networks; Anesthesia; Artificial neural networks; Biomedical engineering; Biomedical monitoring; Content addressable storage; Drugs; Electrodes; Electroencephalography; Neural networks; Surgery; ANN; Bispectrum; Depth of Anaesthesia; EEG;
fLanguage
English
Publisher
ieee
Conference_Titel
Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-1077-4
Electronic_ISBN
978-1-4244-1078-1
Type
conf
DOI
10.1109/ICCME.2007.4381761
Filename
4381761
Link To Document