| 基于提升小波的神经元锋电位并行检测方法 |
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| 引用本文： | 祝晓平,王东,陈耀武.基于提升小波的神经元锋电位并行检测方法[J].华南理工大学学报(自然科学版),2011(10):19-25,31. |
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| 作者姓名： | 祝晓平 王东 陈耀武 |
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| 作者单位： | 浙江大学生物医学工程与仪器科学学院;浙江大学求是高等研究院; |
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| 基金项目： | 国家自然科学基金资助项目(61031002); 浙江省自然科学基金资助项目(Y2090707); 浙江大学中央高校基本科研业务费专项资金资助项目(2010QNA5026) |
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| 摘 要： | 神经元动作电位(即锋电位)的实时检测是植入式脑—机接口系统的重要组成环节,为了能够从多通道神经微电极阵列记录的神经信号中实时地检测并提取出神经元的锋电位信息,文中提出了基于提升小波的神经元锋电位检测方法.该方法采用提升小波方法去除了神经信号中的漂移和噪声,然后通过阈值法检测出锋电位信号,最后利用现场可编程门阵列(FPG...
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| 关 键 词： | 锋电位检测 并行检测 提升小波 多通道 现场可编程门阵列 |
Parallel Detection Method of Neuronal Spikes Based on Lifting Wavelet |
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| Zhu Xiao-ping Wang Dong Chen Yao-wu.Parallel Detection Method of Neuronal Spikes Based on Lifting Wavelet[J].Journal of South China University of Technology(Natural Science Edition),2011(10):19-25,31. |
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| Authors: | Zhu Xiao-ping Wang Dong Chen Yao-wu |
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| Institution: | Zhu Xiao-ping1 Wang Dong2 Chen Yao-wu1(1.College of Biomedical Engineering and Instrument Science,Zhejiang University,Hangzhou 310027,Zhejiang,China,2.Qiushi Academy for Advanced Studies,China) |
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| Abstract: | The real-time detection of neuronal action potentials(namely spikes) plays an important role in the implantable brain-computer interface system.In order to implement the real-time detection and extraction of the neuronal spikes from the neural signals recorded by the real-time multi-channel neural microelectrode array,a detection method is proposed based on the lifting wavelet.In this method,the drift and noise of the neural signals are removed by using the lifting wavelet.Then,the neuronal spikes are detec... |
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| Keywords: | spike detection parallel detection lifting wavelet multi-channel field programmable gate array |
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