Evoked potentials estimation by using higher order adaptive neural network filter

Bor-Shyh Lin, Bor Shing Lin, Fok Ching Chong

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

Evoked potentials are usually embedded in the ongoing electroencephalogram with a very low signal-to-noise ratio. The neural network filtering technique which has the advantage of complex mapping is one of the applicable methods for evoked potentials estimation. The back-propagation algorithm based on second order statistics is commonly used to adapt neural network filters. However it is easily influenced by additive Gaussian noise. In this study, a neural network filter with a modified back-propagation algorithm for higher order statistics was proposed. With higher-order statistics technique, additive Gaussian noise is suppressed to improve the performance of evoked potentials estimation.

原文English
主出版物標題Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
頁面1139-1141
頁數3
DOIs
出版狀態Published - 1 十二月 2005
事件2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
持續時間: 1 九月 20054 九月 2005

出版系列

名字Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
7 VOLS
ISSN(列印)0589-1019

Conference

Conference2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
國家China
城市Shanghai
期間1/09/054/09/05

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