Nguyen-Ky, Tai and Wen, Peng (Paul) and Li, Yan and Gray, Robert (2011) Measuring and reflecting depth of anesthesia using wavelet and power spectral density. IEEE Transactions on Information Technology in Biomedicine, 15 (4). pp. 630-639. ISSN 1089-7771
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Identification Number or DOI: doi: 10.1109/TITB.2011.2155081
This paper evaluates depth of anesthesia (DoA)monitoring using a new index. The proposed method preconditions raw EEG data using an adaptive threshold technique to remove spikes and low-frequency noise. We also propose an adaptive window length technique to adjust the length of the sliding window. The information pertinent to DoA is then extracted to develop a feature function using discrete wavelet transform and power spectral density. The evaluation demonstrates that the new index reflects the patient’s transition fromconsciousness to unconsciousness with the induction of anesthesia in real time.
|Item Type:||Article (Commonwealth Reporting Category C)|
|Additional Information:||Permanent restricted access to Published version due to publisher copyright policy.|
|Uncontrolled Keywords:||depth of anesthesia; EEG; eigenvector methods; wavelet transform|
|Fields of Research (FOR2008):||09 Engineering > 0903 Biomedical Engineering > 090304 Medical Devices|
01 Mathematical Sciences > 0102 Applied Mathematics > 010202 Biological Mathematics
11 Medical and Health Sciences > 1103 Clinical Sciences > 110301 Anaesthesiology
|Socio-Economic Objective (SEO2008):||E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering|
|Deposited On:||07 Sep 2011 10:15|
|Last Modified:||02 Jul 2012 10:23|
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