脑电信号中肌电噪声去除的新探索

项目名称： 脑电信号中肌电噪声去除的新探索

项目编号： No.61501164

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 无线电电子学、电信技术

项目作者： 陈勋

作者单位： 合肥工业大学

项目金额： 19万元

中文摘要： 脑电信号反映了脑部神经细胞群微弱的自发性、节律性电生理活动，已被广泛应用于医学临床诊断及健康监护等领域。然而，人体头部肌肉分布较多较广，肌电会对脑电产生严重干扰而影响后续分析。由于肌电的时空频域特性复杂，使其去除成为当前脑电研究领域的难题。本项目拟结合近年来兴起的联合盲源分离（JBSS)技术，通过对难点的深刻剖析，设计有针对性的方案，对该难题进行新的探索：一方面，针对脑电和肌电信号源及混合矩阵随时间变化的情况，设计动态JBSS方法，更加准确地估计肌电信号源；另一方面，针对脑电和肌电信号源数之和大于通道数的情况，设计欠定JBSS方法，最大限度地分离肌电信号源。此外，本项目将建立开放共享的基准数据库和算法工具箱，提出一套完善的脑电信号中肌电噪声去除的解决方案。本研究的开展将有助于提升医学临床诊断及移动健康监护中脑电的获取质量，对进一步研究大脑真实的电生理活动具有重要意义。

中文关键词： 脑电信号；肌电信号；联合盲源分离；噪声去除

英文摘要： Electroencephalography (EEG) reflects the weak spontaneous and rhythmic electrical activity within the neurons of the brain. It has been widely used for medical diagnosis in clinic, health care and other fields. However, there exist a number of muscles spatially and widely distributed across the human head. Electromyography (EMG) arising from the muscles would have a serious interference for EEG and its subsequent analysis. Due to the complexity of spatial, temporal and spectral characteristics of EMG, EMG removal currently becomes a difficult problem in the research field of EEG. Through our profound analysis for existing difficulties, this proposal aims at a new exploration of this problem by developing novel methods based on joint blind source separation (JBSS), a popular technique proposed in recent years. On one hand, given that EEG and EMG sources and mixing matrices may change over time, dynamic JBSS will be developed to more accurately recover EMG sources; on the other hand, considering that the number of EEG and EMG sources is generally greater than that of channels, underdetermined JBSS will be proposed to maximally separate EMG sources. Besides, a benchmark database and a software toolbox will be provided to the public. A set of effective solutions will be proposed for the problem of EMG removal from EEG. The launching of this study will significantly improve the quality of EEG acquired in medical diagnosis and mobile health care. It is of great importance to further study the underlying electrical activity of the brain.

英文关键词： Electroencephalography;Electromyography;Joint Blind Source Separation;Artifact Removal