Palendeng, Mario Elvis and Wen, Peng and Goh, Steven C. (2010) Investigation of bispectral index filtering and improvement using wavelet transform adaptive filter. In: NANOMED 2010: IEEE International Conference on Nano/Molecular Medicine and Engineering , 5-9 Dec 2010, Hong Kong/Macau, China.
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Electroencephalogram (EEG) signals are often contaminated with artifacts such as electromyography (EMG), eye blink and eye ball movement. These contaminated EEG signals may give incorrect values of Bispectral Index. If fixed band-pass filter is used to filter the overlapping signals between the EEG and the artifacts, the useful information in EEG signal could be lost. This paper proposes a method to filter the EEG signals using wavelet adaptive techniques. The preliminary result shows that this technique is capable to remove the artifacts from the EEG signal more efficiently.
|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Additional Information:||Accepted version deposited in accordance with the copyright policy of the publisher.|
|Uncontrolled Keywords:||EEG; bispectral index; wavelet transform; adaptive filter|
|Depositing User:||Mr Mario Elvis Palendeng|
|Date Deposited:||08 Feb 2011 04:46|
|Last Modified:||03 Jul 2013 00:27|
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