Estimation of evoked potentials using high order statistics-based adaptive filter

Bor-Shyh Lin, Bor Shing Lin, Shu Mei Wu, Jen Chien Chien, Fok Ching Chong

研究成果: Conference article同行評審

1 引文 斯高帕斯(Scopus)

摘要

This paper is to present a high order statistics-based adaptive interference cancel filter (AIC-HOS) to process evoked potential (EP). In conventional ensemble averaging method, experiments have to conduct repetitively to record the required data. In normalized LMS adaptive filter, inappropriate step size always causes deficiency. This AIC-HOS system has none of the above disadvantages. This system was experimented in somatosensory evoked potential corrupted with EEG. Gradient type algorithm is used in this AIC-HOS structure to regulate the SNR of EEG and EP. This method is also simulated with visual evoked potential and audio evoked potential. The results obtained are satisfactory and acceptable in clinical usage. The AIC-HOS is superior to normalized LMS using adaptive filter in that it converges easily. Moreover, it is not sensitive to selection of step size in stabilities in convergency.

原文English
頁(從 - 到)2094-2096
頁數3
期刊Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
2
DOIs
出版狀態Published - 2001
事件23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, 土耳其
持續時間: 25 10月 200128 10月 2001

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