临床脑电信号预处理中的时空滤波器设计

临床上提倡病床边进行各类检测,这样可以方便病人,减轻其痛苦.但是病床边采集的脑电信号易受各类噪声和干扰的影响,往往影响后面的分析效果.为了有效去除临床脑电信号的噪声和干扰,设计了一种时空滤波器,分两个阶段对脑电信号进行滤波预处理:第一个阶段是时域滤波,用传统的带通滤波器实现;第二个阶段是空域滤波,用基于独立分量分析(ICA)的空域滤波器实现.实验结果表明临床脑电数据的常见干扰如工频干扰、眼动、肌电干扰、心电干扰等均能有效地被单独或同时去除.

Temporal-spatial Filtering in the Preprocessing of Clinical EEG Signals

EEG spot-recording for clinical patients in the bed is always advocated due to easing patients and making them comfortable. But EEG signals recorded in the ward exposed to various noisesand interference is less effective in the EEG analysis. Atemporal-spatial filter is designed for noise removing of clinical EEG signals, the first filtering is temporal filtering using band-pass filter, and the second filtering is spatial filtering with ICA-based spatial filter. Experimental results indicate that various noises and interferences, such as power interference, blinking, eyes movements, muscle moments, ECG artifacts, etc., are removed effectively, individually or simultaneously.