Depth of anaesthesia monitors and the latest algorithms

Li, Tianning and Li, Yan (2014) Depth of anaesthesia monitors and the latest algorithms. Asian Pacific Journal of Tropical Medicine, 7 (6). pp. 429-437. ISSN 1995-7645


This paper reviews the existing depth of anaesthesia (DoA) monitors and their algorithms, and proposes to improve their performance from four aspects. An ideal DoA monitor should be able to suggest a personalised drug dosages, to predict and provide early warnings when dosages are inappropriate, to be portable and highly cost-effective. The limitations of the existing DoA monitors commonly include unsatisfied data filtering techniques, time delay for the monitoring responses, inflexible and low noise immunity problems. The latest research results show that their performance can be improved using up-to-date computing technology and neurophysiology. The findings in Chinese market review shows that neither the imported nor the Chinese domestic DoA monitors are widely utilised at hospitals, but the demand for DoA monitors is very high. Clearly there is a high demand which encourages the development of a better DoA monitor and its mass production in China.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2014 Hainan Medical College. Permanent restricted access to published version due to publisher copyright policy.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 05 Jan 2015 04:16
Last Modified: 18 Dec 2017 05:40
Uncontrolled Keywords: depth of anaesthesia (DoA); consciousness; EEG
Fields of Research : 09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing
09 Engineering > 0903 Biomedical Engineering > 090303 Biomedical Instrumentation
11 Medical and Health Sciences > 1103 Clinical Sciences > 110301 Anaesthesiology
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970111 Expanding Knowledge in the Medical and Health Sciences
Identification Number or DOI: 10.1016/S1995-7645(14)60070-5

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