生物医学信号检测和处理过程中,50Hz(或60Hz)工频干扰的消除一直非常重要的技术问题。本文提出了一种基于独立分量分析的工频干扰消除新方法。我们用该方法对模拟数据和实测脑电(EEG)信号中的工频干扰进行消除,并与自适应滤波工频干扰消除方法进行了比较。实验表明,本文所提出的方法在工频干扰消除上具有一定的优势。 In biomedical signal detection and processing, the elimination of 50Hz (or 60Hz) frequency interference has been a very important technical issue. In this paper, a new method of power frequency interference cancellation based on independent component analysis is proposed. We use this method to eliminate the power frequency interference in the simulated data and the EEG signal and compare it with the adaptive filter frequency interference cancellation method. Experiments show that the method proposed in this paper has some advantages in the elimination of power frequency interference.