基于LABVIEW的脑电信号虚拟采集系统设计

Based on LABVIEW's Brain Electrical Signal Virtual Collection System Design

摘要:

在神经科学研究领域,对大脑的观察主要来源于对脑电信号的收集与分析；当前对脑电信号收集的方法是通过专业脑电设备将信号收集保存,再由专业软件处理;由于这类仪器非常昂贵,系统体积也比较大,软件更新快,现在只能用在科学研究上,根本无法用于有规模的实验教学,更不可能一人一机;为此,提出了一种基于LABVIEW的脑电信号虚拟采集系统设计方法,使脑电收集与分析可以广泛地应用于教学;该方法首先对脑电信号虚拟采集系统的硬件进行构造,然后以硬件构造为依据,利用AR模型功率谱估计对脑电信号进行特征提取,在特征提取过程中,对模型类型与模型系数算法以及模型最佳阶数进行分析,最后通过将二阶低通滤波器与二阶高通滤波器进行串联,形成4阶Bessel带通滤波器,实现脑电信号的滤波,并以脑电信号传输电路的设计完成脑电信号虚拟采集系统的设计；实验结果证明,所提方法可以快速地对脑电信号虚拟采集系统进行设计,并为该领域的研究发展提供支撑。

Abstract:

In the field of neuroscience, the observation of the brain mainly comes from the collection and analysis of EEG signals. At present, the method of collecting EEG signals is to collect and save the signals through the professional brain electrical equipment. Because of this kind of instrument is very expensive, the system volume is relatively large, the software update fast, and now can only be used in scientific research, can not be used for large-scale experimental teaching, it is impossible for a person. For this reason, this paper presents a design method of EEG signal acquisition system based on LABVIEW. Firstly, the EEG acquisition system of virtual hardware structure, then the hardware structure based on EEG feature extraction using AR model power spectrum estimation, the feature extraction process, the model type and model coefficient algorithm and the model of optimal order analysis, finally through the two order low pass filter and two order high pass filter in series, the formation of the 4 order Bessel bandpass filter, the EEG signal filtering, to design and design of EEG signal transmission circuit to complete the EEG virtual acquisition system. The experimental results show that the proposed method can be used to design the EEG acquisition system and provide support for the research and development in this field.