Background and objectiveThe purpose of this study was to eliminate the interferences of electrical impedance tomography (EIT) on synchronous recording electroencephalography (EEG) for seizure detection.MethodsThe simulated EIT signal generated by COMSOL Multiphysics was superimposed on the clinical EEG signal obtained from the CHB-MIT Scalp EEG Database, and then the spectrum features of superimposed mixed signals were analyzed. According to the spectrum analysis, in addition to high-frequency interference at 51.2 kHz related to the drive current, there was also low-frequency interference caused by switching of electrode pairs, which were used to inject drive current. A low pass filter and a comb filter were used to suppress the high-frequency interference and low-frequency interference, respectively. Simulation results suggested the low-pass filter and comb filter working together effectively filtered out the interference of EIT on EEG in the process of synchronous monitoring.ResultsAs a result, the normal EEG and epileptic EEG could be recognized effectively. Pearson correlation analysis further confirmed the interference of EIT on EEG was effectively suppressed.ConclusionsThis study provides a simple and effective interference suppression method for the synchronous monitoring of EIT and EEG, which could be served as a reference for the synchronous monitoring of EEG and other medical electromagnetic devices.

中文翻译：

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基于梳状滤波器的癫痫发作检测抑制EIT对同步记录脑电图的干扰

背景和目的本研究的目的是消除电阻抗断层扫描 (EIT) 对同步记录脑电图 (EEG) 检测癫痫发作的干扰。方法将 COMSOL Multiphysics 生成的模拟 EIT 信号叠加到从 CHB- MIT头皮脑电图数据库，然后分析叠加混合信号的频谱特征。根据频谱分析，除了与驱动电流相关的51.2kHz高频干扰外，还有用于注入驱动电流的电极对切换引起的低频干扰。低通滤波器和梳状滤波器分别用于抑制高频干扰和低频干扰。仿真结果表明低通滤波器和梳状滤波器共同作用有效滤除同步监测过程中EIT对脑电信号的干扰。结果可有效识别正常脑电信号和癫痫脑电信号。Pearson相关分析进一步证实了EIT对EEG的干扰得到了有效抑制。电磁装置。