摘要
针对特定思维诱发脑电信号的特点,提出一种确定其分布情况及提取其波形的方法·首先采用离散小波变换对脑电信号进行分解,然后使用小波奇异点检测和小波统计分析相结合的方法进行特征分析,确定特定思维诱发脑电信号处于小波变换的哪个尺度上,并根据分析结果重构出诱发脑电信号·结果表明,这种方法能够有效地消除脑电信号中的常见噪声,尤其适用于对诱发脑电信号的提取·
To pick up the specific EEG signals from the strong background noise is the key function of brain-computer interface (BCI) system. Based on the characteristics of the specific thinking-evoked EEG signals (TES), an approach is proposed to determine their distribution and pick up their waveform from strong noise. The EEG signals are decomposed by the way of discrete wavelet transform. Then, an analysis is made by combining the wavelet singularity detection with wavelet statistic analysis to determine in which dimension of wavelet transform the specific thinking-evoked signals are located. Thus, the specific thinking-evoked EEG signals can be reconstructed without noise. This approach provides an effective approach to eliminate the noise embedded in EEG signals, which is especially suitable to pick up the specific evoked EEG signals.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2005年第6期546-549,共4页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金资助项目(50077003)
国家自然科学基金重大国际合作项目(50120130747)
关键词
脑-计算机接口
脑电信号
小波变换
李普西兹指数
小波统计分析
brain-computer interface
electroencephalogram (EEG)
wavelet transform
Lipschitz exponent
wavelet statistic analysis
