A novel empirical wavelet SODP and spectral entropy based index for assessing the depth of anaesthesia
Article
Article Title | A novel empirical wavelet SODP and spectral entropy based index for assessing the depth of anaesthesia |
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ERA Journal ID | 212669 |
Article Category | Article |
Authors | Schmierer, Thomas (Author), Li, Tianning (Author) and Li, Yan (Author) |
Journal Title | Health Information Science and Systems |
Journal Citation | 10 (1), pp. 1-14 |
Article Number | 10 |
Number of Pages | 14 |
Year | 2022 |
Publisher | Springer |
Place of Publication | Germany |
ISSN | 2047-2501 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s13755-022-00178-8 |
Web Address (URL) | https://link.springer.com/article/10.1007/s13755-022-00178-8 |
Abstract | The requirement for anaesthesia during modern surgical procedures is unquestionable to ensure a safe experience for patients with successful recovery. Assessment of the depth of anaesthesia (DoA) is an important and ongoing field of research to ensure patient stability during and post-surgery. This research addresses the limitations of current DoA indexes by developing a new index based on electroencephalography (EEG) signal analysis. Empirical wavelet transformation (EWT) methods are employed to extract wavelet coefficients before statistical analysis. The features Spectral Entropy and Second Order Difference Plot are extracted from the wavelet coefficients. These features are used to train a new index, SSEDoA, utilising a Support Vector Machine (SVM) with a linear kernel function. The new index accurately assesses the DoA to illustrate the transition between different anaesthetic stages. Testing was undertaken with nine patients and an additional four patients with low signal quality. Across the nine patients we tested, an average correlation of 0.834 was observed with the Bispectral (BIS) index. The analysis of the DoA stage transition exhibited a Choen's Kappa of 0.809, indicative of a high agreement. |
Keywords | Depth of anaesthesia; Statistical model; Empirical wavelet transform; Second order difference plot |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 420311. Health systems |
Byline Affiliations | School of Mathematics, Physics and Computing |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q77q2/a-novel-empirical-wavelet-sodp-and-spectral-entropy-based-index-for-assessing-the-depth-of-anaesthesia
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License: CC BY 4.0 | ||
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