Depth of anaesthesia assessment based on adult electroencephalograph beta frequency band
Article
Article Title | Depth of anaesthesia assessment based on adult electroencephalograph beta frequency band |
---|---|
ERA Journal ID | 5034 |
Article Category | Article |
Authors | Li, Tianning (Author) and Wen, Peng (Author) |
Journal Title | Physical and Engineering Sciences in Medicine |
Journal Citation | 39 (3), pp. 773-781 |
Number of Pages | 9 |
Year | 2016 |
Publisher | Springer |
Place of Publication | Netherlands |
ISSN | 0158-9938 |
1879-5447 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s13246-016-0459-5 |
Web Address (URL) | http://link.springer.com/article/10.1007/s13246-016-0459-5 |
Abstract | This paper presents a new method to apply timing characteristics of electroencephalograph (EEG) beta frequency bands to assess the depth of anaesthesia (DoA). Firstly, the measured EEG signals are denoised and decomposed into 20 different frequency bands. The Mobility (M), permutation entropy (PE) and Lempel–Ziv complexity (LCZ) of each frequency band are calculated.The M, PE and LCZ values of beta frequency bands (21.5–30 Hz) are selected to derive a new index. The new index is evaluated and compared with measured bispectral (BIS). The results show that there is a very close correlation between the proposed index and the BIS during different anaesthetic states. The new index also shows a 25–264 s earlier time response than BIS during the transient period of anaesthetic states. In addition, the proposed index is able to continuously assess the DoA when the quality of signal is poor and the BIS does not have any valid outputs. |
Keywords | depth of anaesthesia; mobility ; permutationentropy ; Lempel–Ziv complexity |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
400399. Biomedical engineering not elsewhere classified | |
400305. Biomedical instrumentation | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | School of Agricultural, Computational and Environmental Sciences |
Department of Electrical, Electronic and Computer Engineering | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3qx0/depth-of-anaesthesia-assessment-based-on-adult-electroencephalograph-beta-frequency-band
Download files
1596
total views96
total downloads0
views this month1
downloads this month