Palendeng, Mario Elvis and Wen, Peng 
ORCID: https://orcid.org/0000-0003-0939-9145 and Li, Yan ORCID: https://orcid.org/0000-0002-4694-4926
(2014)
Real-time depth of anaesthesia assessment using strong analytical signal transform technique.
Australasian Physical and Engineering Sciences in Medicine, 37 (4).
pp. 723-730.
ISSN 0158-9938
Abstract
This paper introduces a new method addressing depth of anaesthesia (DoA) assessment for real-time monitoring. The new method uses a combination of phase and amplitude of electroencephalogram (EEG) signals to assess the DoA level. A strong analytical signal transform is applied to extract the phase and amplitude information of the recorded EEG signals. Based on the extracted features from the EEG signal in each different frequency band, a new DoA index is developed. The proposed new DoA index is evaluated using data from adult patients in an age range from 22 to 75 years. The results show that the new DoA index is able to detect the changing pattern of EEG signals early and agree with the clinical notes of an attending anaesthetist. The results are also closely correlated with the popular BIS index. Furthermore, the proposed new DoA index is able to detect the state changes earlier than the BIS index.
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| Item Type: | Article (Commonwealth Reporting Category C) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | Copyright Australasian College of Physical Scientists and Engineers in Medicine 2014. Permanent restricted access to published version due to publisher copyright policy. |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 Jul 2013 - 5 Sep 2019) |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 Jul 2013 - 5 Sep 2019) |
| Date Deposited: | 28 Jan 2015 00:25 |
| Last Modified: | 07 Jul 2016 06:26 |
| Uncontrolled Keywords: | BIS; depth of anaesthesia; EEG signal; stationary wavelet transform; strong analytical signal |
| Fields of Research (2008): | 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 |
| Fields of Research (2020): | 40 ENGINEERING > 4006 Communications engineering > 400607 Signal processing 40 ENGINEERING > 4003 Biomedical engineering > 400305 Biomedical instrumentation 32 BIOMEDICAL AND CLINICAL SCIENCES > 3202 Clinical sciences > 320201 Anaesthesiology |
| Socio-Economic Objectives (2008): | E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering |
| Identification Number or DOI: | https://doi.org/10.1007/s13246-014-0309-2 |
| URI: | http://eprints.usq.edu.au/id/eprint/26649 |
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