TY - JOUR
T1 - Adaptive interference cancel filter for evoked potential using high-order cumulants
AU - Lin, Bor-Shyh
AU - Lin, Bor Shing
AU - Chong, Fok Ching
AU - Lai, Feipei
PY - 2004/12/1
Y1 - 2004/12/1
N2 - 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.
AB - 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.
KW - Adaptive interference cancel filter
KW - Evoked potential
KW - High order cumulants
UR - http://www.scopus.com/inward/record.url?scp=11044233960&partnerID=8YFLogxK
U2 - 10.1109/IEMBS.2004.1403177
DO - 10.1109/IEMBS.2004.1403177
M3 - Conference article
AN - SCOPUS:11044233960
SN - 0589-1019
VL - 26 I
SP - 396
EP - 398
JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
T2 - Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004
Y2 - 1 September 2004 through 5 September 2004
ER -