Monitoring the depth of anesthesia using discrete wavelet transform and power spectral density
Paper
Paper/Presentation Title | Monitoring the depth of anesthesia using discrete wavelet transform and power spectral density |
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Presentation Type | Paper |
Authors | Nguyen-Ky, T. (Author), Wen, Peng (Author) and Li, Yan (Author) |
Editors | Wen, Peng, Li, Yuefeng, Polkowski, Lech, Yao, Yiyu, Tsumoto, Shusaku and Wang, Guoyin |
Journal or Proceedings Title | Lecture Notes in Computer Science (Book series) |
Journal Citation | 5589, pp. 350-357 |
Number of Pages | 7 |
Year | 2009 |
Publisher | Springer |
Place of Publication | Germany |
ISSN | 1611-3349 |
0302-9743 | |
ISBN | 9783642029615 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-642-02962-2_44 |
Web Address (URL) of Paper | https://link.springer.com/chapter/10.1007/978-3-642-02962-2_44 |
Conference/Event | 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009) |
Event Details | 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009) Parent International Conference on Rough Sets and Knowledge Technology (RSKT) Event Date 14 to end of 16 Jul 2009 Event Location Gold Coast, Australia |
Abstract | This method combines wavelet techniques and power spectral density to monitor the depth of anesthesia (DOA) based on simplified EEG signals. After decomposing electroencephalogram (EEG) signals, the power spectral |
Keywords | depth of anesthesia; wavelet transform; power spectral density |
ANZSRC Field of Research 2020 | 400607. Signal processing |
400399. Biomedical engineering not elsewhere classified | |
320201. Anaesthesiology | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Centre for Systems Biology |
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/q074q/monitoring-the-depth-of-anesthesia-using-discrete-wavelet-transform-and-power-spectral-density
2029
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