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
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;
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
DOI :
10.1109/ICCME.2007.4381761
