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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.