基于独立分量分析技术的癫痫脑电信号处理系统的研究

Study on an Epilepsy EEG Processing System Based on Independent Component Analysis (ICA)

设计一套基于独立分量分析技术的癫痫脑电信号处理系统,以满足临床医学中对癫痫高危人群进行筛查的需要。系统采用模块化的虚拟仪器技术,硬件部分主要集中于脑电信号检测模块盒中,通过数字接口与笔记本计算机或个人数字助理(personal Digital Assistant,PDA)交换数据,在笔记本计算机或个人数字助理中执行独立分量分析技术算法,完成对脑电图信号的处理,最终实现对癫痫高危人群进行筛查。应用这种基于独立分量分析技术的模块化的虚拟脑电信号处理系统,不仅方便于数据分析算法的实现,而且能够提高研究效率,加快开发进度,更重要的是设计的系统对使用环境和条件要求较低,适宜于疾病的大规模筛查工作。

An epilepsy EEG processing system designed based on Independent Component Analysis （ICA） is introduced in the paper, in order to meet the requirements of epileptic screening in clinical medicine. The system adopts module structure and virtual instrument technology, its hardware is mainly configured in the signal-detecting box, data are exchanged between the box and the notebook computer or personal digital assistant （PDA） through certain digital interface, and ICA is executed in the notebook computer or PDA. The virtual EEG processing system based on ICA is able not only to perform ICA algorithms easily, but also to improve the developing efficiency greatly, and it is suitable for disease screening on a large scale.