Measuring and reflecting depth of anesthesia using wavelet and power spectral density
Article
Article Title | Measuring and reflecting depth of anesthesia using wavelet and power spectral density |
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ERA Journal ID | 13572 |
Article Category | Article |
Authors | Nguyen-Ky, Tai (Author), Wen, Peng (Author), Li, Yan (Author) and Gray, Robert (Author) |
Journal Title | IEEE Transactions on Information Technology in Biomedicine |
Journal Citation | 15 (4), pp. 630-639 |
Number of Pages | 10 |
Year | 2011 |
Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
Place of Publication | United States |
ISSN | 1089-7771 |
1558-0032 | |
Digital Object Identifier (DOI) | https://doi.org/10.1109/TITB.2011.2155081 |
Web Address (URL) | https://ieeexplore.ieee.org/document/5770225 |
Abstract | This paper evaluates depth of anesthesia (DoA)monitoring |
Keywords | depth of anesthesia; EEG; eigenvector methods; wavelet transform |
ANZSRC Field of Research 2020 | 400308. Medical devices |
490102. Biological mathematics | |
320201. Anaesthesiology | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Department of Electrical, Electronic and Computer Engineering |
Department of Mathematics and Computing | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q0x4w/measuring-and-reflecting-depth-of-anesthesia-using-wavelet-and-power-spectral-density
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