针对MEAs数据的集成分析系统的研究  

Integrative Analysis Software System for MEAs Data

作　　者：黄钰[1] 胡滨[1] 景秀[1] 王建勇[1] 

机构地区：[1]华中农业大学理学院,武汉430070

出　　处：《武汉理工大学学报》2010年第20期164-168,共5页Journal of Wuhan University of Technology

基　　金：华中农业大学学科交叉研究项目(52204-10040)

摘　　要：针对在神经科学研究中,处理海量异构多电极阵列(MEAs)数据的软件系统普遍缺乏有效的算法集成机制以及协同工作模式,该文提出基于Java环境构建一个工作流管理系统MEAs-System。该系统不仅提供一致的数据和算法接口,而且包含多用户管理模块以支撑协同工作模式,此外,在该系统上还实现了一个MEAs数据分析模块,该模块集成了一系列统计学算法,分类算法以及可视化算法。基于MEAs-System系统这种易于集成数据源和算法工具的高可扩展性结构,可以为神经科学领域的相关研究人员提供一个理想的集成分析平台。In view of the lacks of an effective algorithm-integrating mechanism and collaborate research model of the toolkits in the field of the MEAs data processing and analyzing,the authors designed and implemented a software system of MEAs based on the Java 2 Platform Enterprise Edition（J2EE）,namely MEAs-System,which provides a general application development interface to integrate or bridge other programs and a user management mechanism to support collaborate research easily.At the moment,many algorithms and tools abstracted from MEA-Tools,Spike manager and DATA-MEAns are integrated.They together provide comprehensive functionalities of data normalization,statistics and result reporting,which are indispensable for a complete analysis of multiple neural spike train data.Because the interface developed is very general and flexible,new analysis tools can be integrated effectively as required.MEAs-System implies an ideal environment for integrative neuroscience research.

关 键 词：MEAS 集成 协同 软件系统 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]