Analysis of visual evoked potentials using a wavelet decomposition algorithm

被引：0

作者：

Lee, YH ^{[1
]}

Kim, JS ^{[1
]}

Park, HS ^{[1
]}

Kim, SI ^{[1
]}

Lee, DS ^{[1
]}

机构：

[1] Hanyang Univ, Dept Elect Engn, Seoul 133791, South Korea

来源：

PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 18, PTS 1-5 | 1997年 / 18卷

关键词：

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

For accurate and reliable analysis of visual evoked potential (EP) signals, we utilize a time-frequency analysis technique called wavelet transform. Because the wavelet transform decomposes time-varying EP signals into a dilated lowpass components and a contracted highpass components, the wavelet analysis of the EP can utilize the high frequency components which was embedded in the regular EP signal. In this paper, we presented EP signal features which are obtained at the low and high frequency regions at the levels of resolution.

引用

页码：1001 / 1002

页数：2

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