CAJ | 학술논문

为去除脑电信号采集过程中存在的噪声信号，提出了基于小波阈值去噪的脑电信号去噪。以小波闽值降噪为基础，首先利用db4小波对脑电信号进行5尺度分解，然后采用软、硬阈值与小波重构的算法进行去噪。通过对MIT脑电数据库中的脑电信号进行仿真，结果表明，采用软闽值方法有效去除了噪声，提高了脑电信号的信噪比。
위거제뇌전신호채집과정중존재적조성신호，제출료기우소파역치거조적뇌전신호거조。이소파민치강조위기출，수선이용db4소파대뇌전신호진행5척도분해，연후채용연、경역치여소파중구적산법진행거조。통과대MIT뇌전수거고중적뇌전신호진행방진，결과표명，채용연민치방법유효거제료조성，제고료뇌전신호적신조비。
To remove the noise signal existing in the course of EEG signal data collecting, we proposed a method based on wavelet shrinkage to denoising EEG signal. First, the EEG signal was decomposed through the db4 wavelet, secondly, the denoising of soft and hard thresholding and the wavelet reconstruction algorithm were used to remove the main noise. The MIT EEG database was used, which prove that the de-noising method adopting the soft thresholding could remove the noise effectively, and increase the SNR of EEG signal.