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基于小波变换的脑电特征信号自动检测方法 被引量:5

An Automatic Detection Method of EEG Based on Wavelet Transform
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摘要 首先对原始脑电信号(EEG)进行小波分解来进行滤波。然后利用双正交样条小波对EEG进行二进小波变换,进而求出小波模极大值,最后通过一系列策略匹配出相应的模极大值对来确定出特征信号的起止点,从而达到自动检测脑电特征信号的目的。 The original EEG signal is filtered by wavelet decomposition and is processed by wavelet transform with a biorspline wavelet. After computing the modulus maximum of its wavelet transform, some strategies are applied to pair them. Then the start and end points of every character signal can be detected.
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2005年第z2期4-5,共2页 Chinese Journal of Scientific Instrument
基金 国家自然科学基金(50435040)项目。
关键词 信号检测 脑电 小波变换 Signal detection EEG Wavelet transform
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