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Content Provider | IEEE Xplore Digital Library |
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Author | Bor-Shyh Lin Bor-Shing Lin Fok-Ching Chong Feipei Lai |
Copyright Year | 2004 |
Description | Author affiliation: Inst. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan (Bor-Shyh Lin; Bor-Shing Lin; Fok-Ching Chong; Feipei Lai) |
Abstract | This paper is to present evoked potential (EP) processing using adaptive interference cancel (AIC) filter with second and high order cumulants. In conventional ensemble averaging method, people have to conduct repetitively experiments to record the required data. Recently, the use of AIC structure with second statistics in processing EP has proved more efficiency than traditional averaging method, but it is sensitive to both of the reference signal statistics and the choice of step size. Thus, we proposed higher order statistics-based AIC method to improve these disadvantages. This study was experimented in somatosensory EP corrupted with EEG. Gradient type algorithm is used in AIC method. Comparisons with AIC filter on second, third, fourth order statistics are also presented in this paper. We observed that AIC filter with third order statistics has better convergent performance for EP processing and is not sensitive to the selection of step size and reference input. |
Starting Page | 396 |
Ending Page | 398 |
File Size | 520161 |
Page Count | 3 |
File Format | |
ISBN | 0780384393 |
DOI | 10.1109/IEMBS.2004.1403177 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2004-09-01 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Interference cancellation Adaptive filters Higher order statistics Signal processing Electroencephalography Audio recording Nervous system Brain cells Skin Least mean square algorithms high order cumulants evoked potential adaptive interference cancel filter |
Content Type | Text |
Resource Type | Article |
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