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便携式脑电信号实时采集系统 被引量:3

Portable Real-time EEG Signal Acquisition System
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摘要 针对目前国内的脑电相关设备多是引进国外技术,且价格昂贵、体积庞大、实时性差、容易失真等问题,设计了基于DSP的便携式脑电信号采集系统.该系统采用无创双极导联方式将微幅级的脑电信号感应至预处理电路,经多级放大和滤波后由ADS8320将模拟信号数字化,再由DSP(TMS320VC5509)进行数字滤波,利用最小均方算法和独立成分分析分别滤除工频干扰和生理伪迹.实验结果表明:本系统能够满足设计要求,可以实时采集微弱的脑电波,并将滤波后的结果显示并保存.该采集系统使用方便,易于携带,有利于脑电诊疗设备的社区化和家庭化普及,不仅满足对采集到的脑电信号的质量要求,而且符合经济要求. Currently, EEG equipment is expensive and bulky. Their real -time performance is weak, and their signals are easy to be distorted. Therefore, the low - cost portable EEG signal acquisition system based on DSP is developed in this paper. In this system, weak EEG signals are induced to the pre -processing circuits by a noninvasive method with bipolar leads, where they will undergo multi - level amplifying and filtering. After that, the analog signals are converted into digital signals using ADS8320. These digitized signals are digitally filtered in DSP (TMS320VC5509) so that the power interference and physiological artifacts are removed with LMS (Last Mean Square) algorithm and ICA (Independent Component Analysis) algorithm. Experimental results show that the system can meet the design requirements, acquire weak EEG signals in real-time, display and save the processing results. The acquisition system is easy to use and carry, and helpful to the popularity of community-based and family-based EEG diagnostic equipments. Not only does it meet quality requirements, but also economic requests.
出处 《哈尔滨理工大学学报》 CAS 北大核心 2016年第1期77-82,共6页 Journal of Harbin University of Science and Technology
基金 哈尔滨市科技创新人才研究专项资金(2015RAQXJ013)
关键词 脑电波 实时信号采集 数字信号处理器 独立成分分析 electroencephalogram real-time signal acquisition digital signal processor independent component analysis
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