节点文献
近似熵在大鼠状态识别中的应用
Application of Approximate Entropy in Rats’ State Recognition
【摘要】 以大鼠作为实验动物,采用近似熵的方法,分析大鼠初级视觉皮层的自发脑电信号,从而判别大鼠安静、睡眠和活动3种状态.实验结果表明,采用近似熵算法,使用较短的数据就能对大鼠的状态进行有效识别,减少了冗余的计算量,解决在复杂隐蔽环境中对大鼠状态的识别问题.
【Abstract】 With rats as experimental animals,using the approximate entropy method to analyze the spontaneous electroencephalogram(EEG) of the rats in primary visual cortex,thus distinguishing rats’ states which are in quietude,sleep and activity.Experimental results show that using approximate entropy algorithm will be able to identify the state of rats effectively and reduce redundant computation just use the shorter data,as well as to solve the problem of rats’ state identification that hidden in a complex environment.
【关键词】 自发脑电信号;
近似熵;
状态识别;
大鼠;
初级视觉皮层;
【Key words】 spontaneous electroencephalogram; approximate entropy; state recognition; rat; primary visual cortexn;
【Key words】 spontaneous electroencephalogram; approximate entropy; state recognition; rat; primary visual cortexn;
【基金】 国家自然科学基金资助项目(60841004)
- 【文献出处】 华侨大学学报(自然科学版) ,Journal of Huaqiao University(Natural Science) , 编辑部邮箱 ,2010年04期
- 【分类号】Q819
- 【被引频次】1
- 【下载频次】123