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目的 :探讨对脑电时间序列进行邻域比较的数字滤波方法的实用价值。方法 :对 10例实测脑电信号用邻域比较数字滤波的方法和中值滤波的方法进行处理 ,观察比较两种方法滤波效果。结果 :邻域比较滤波法对叠加有单个噪声脉冲及连续噪声脉冲的脑电信号有很好的去噪效果 ,对尖波和棘波几乎没有影响 ,EEG信号无失真。中值滤波法对叠加单个噪声脉冲的脑电信号有效 ,而对叠加有连续噪声脉冲的脑电信号则失效 ,并使EEG中尖波、棘波及高频信号失真。结论 :在脑电信号处理中 ,邻域比较数字滤波方法在消除干扰脉冲 ,保持脑电信号不失真两方面均优于中值滤波法 ,是一种有实用价值的滤波方法。
Objective: To explore the practical value of digital filtering method for the neighborhood comparison of EEG time series. Methods: 10 cases of measured EEG signals were compared with the digital filtering method and the median filtering method. The filtering effects of the two methods were observed and compared. Results: The neighborhood comparison filter method has a good denoising effect on EEG superimposed with a single noise pulse and continuous noise pulse, has almost no effect on the spike and spike, and has no distortion in the EEG signal. The median filter method is effective for EEG superimposed with a single noise pulse, whereas EEG signals superimposed with continuous noise pulses are invalidated and the spikes, spikes and high frequency signals in the EEG are distorted. Conclusion: In the EEG signal processing, the digital filtering method of neighborhood comparison is better than median filtering in eliminating interference pulses and keeping the EEG signal undistorted, which is a practical filtering method.