Investigation of bispectral index filtering and improvement using wavelet transform adaptive filter

Palendeng, Mario Elvis and Wen, Peng and Goh, Steven (2010) Investigation of bispectral index filtering and improvement using wavelet transform adaptive filter. In: 4th IEEE International Conference on Nano/Molecular Medicine and Engineering (NANOMED 2010), 5-9 Dec 2010, Hong Kong, 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.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2010 IEEE. Published version deposited in accordance with the copyright policy of the publisher.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 08 Feb 2011 04:46
Last Modified: 09 Feb 2015 02:25
Uncontrolled Keywords: EEG; bispectral index; wavelet transform; adaptive filter
Fields of Research : 09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing
09 Engineering > 0903 Biomedical Engineering > 090302 Biomechanical Engineering
11 Medical and Health Sciences > 1113 Ophthalmology and Optometry > 111303 Vision Science
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970111 Expanding Knowledge in the Medical and Health Sciences
Identification Number or DOI: 10.1109/NANOMED.2010.5749796

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