一种获取锋电位的峰值检测算法的改进方案  

An Improved Approach of Peak-detection Algorithm for Spike Acquiring

作　　者：姚舜[1] 刘海龙[1] 陈传平[1] 李向宁[1] 

机构地区：[1]华中科技大学生物医学光子学教育部重点实验室,湖北武汉430074

出　　处：《生物医学工程研究》2005年第1期14-17,共4页Journal Of Biomedical Engineering Research

基　　金：国家 973前期研究项目 (2 0 0 1CCA0 4 10 0 );国家自然科学基金项目 (30 170 30 6 );国家杰出青年科学基金项目 (6 0 0 2 5 5 14 )

摘　　要：在利用多电极阵列细胞外记录的海马神经元网络电生理研究中,为了能正确检测锋电位,在详细阐述阈值和峰值检测两种算法的基础上,对后者作了改进,解决了其滑动窗口分界导致的重复检测,提高了正确率,明显加快了获取锋电位的速度。Spike detection in the research of hippocampal neural network electrophysiology with extraceIlular recording in vitro from Multi - microelectrode arrays （MEA） is an elementary pre - processing. Recent work detects spike through diversified algorithms such as threshold detection and peak - detection that is brought up. A revised version of the peak - detection algorithm is supposed. This advanced approach not only works out an unwanted detection problem of the previous one caused by the position of sliding window boundary, but also extremely speeds up spike detection.

关 键 词：海马神经元网络 锋电位 多电极阵列 信号处理 峰值检测 

分 类 号：R318[医药卫生—生物医学工程] Q64[医药卫生—基础医学]