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作 者:刘学文[1] 丁成义[1] 王宁[1] 袁道任[1] 胡怡芳[1]
机构地区:[1]中国电子科技集团公司第二十七研究所,河南郑州450047
出 处:《微型机与应用》2016年第5期30-32,42,共4页Microcomputer & Its Applications
摘 要:利用多维EMD分解算法,在时域和空域上同时对信号进行多维度的经验模式分解,利用导联电极之间的关联信息,提高P300信号的提取准确度。在此基础上,以特定目标探测为应用目标设计了刺激范式,并进行了真实环境下特定目标的探测。以不同刺激间隔为调节参数,经过多轮次试验,获得了P300电位的识别准确率与刺激间隔的关系,该结论对P300电位在特定目标探测中的应用具有实际指导意义。In this paper,by using the multidimensional EMD algorithm,we decompose the empirical mode decomposition of the signal in time and space,and improve the extraction accuracy of P300 signal by using the related information of multiple lead electrodes. On this basis,the stimulation paradigm was designed to detect the specific target of interest,and the detection of specific target in real environment was carried out. Taking stimulus intervals as the adjustment parameters,after many rounds of testing,the relationship between P300 recognition rate and stimulus interval was found. The conclusion has practical significance for the application of P300 in specific target detection application.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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