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 |
|---|---|
| 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
2024
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