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一种基于特征提取和多模板匹配的心律失常检测算法
引用本文:崔永华,梁正友.一种基于特征提取和多模板匹配的心律失常检测算法[J].广西科学院学报,2012,28(1):7-10.
作者姓名:崔永华  梁正友
作者单位:广西大学计算机与电子信息学院,广西南宁530004
摘    要:基于特征提取和多模板匹配的心律失常检测算法通过样本数据库创建模板库,对模板库进行特征提取以创建特征库,同时建立索引与模板库关联,然后使用特征库中的模板与待检测心电信号进行粗匹配运算,当粗匹配的相关系数大于预设阀值后,再利用索引加载相关模板进行细匹配运算。使用MIT-BIH数据库的数据验证基于特征提取和多模板匹配的心律失常检测算法的效果理想。

关 键 词:检测系统  算法  特征提取  相关系数  多模板匹配
收稿时间:2012/1/30 0:00:00
修稿时间:2012/2/5 0:00:00

An Arrhythmia Detection Algorithm Based on Feature Extraction and Multiple Template Matching
CUI Yong-hua and LIANG Zheng-you.An Arrhythmia Detection Algorithm Based on Feature Extraction and Multiple Template Matching[J].Journal of Guangxi Academy of Sciences,2012,28(1):7-10.
Authors:CUI Yong-hua and LIANG Zheng-you
Institution:(School of Computer and Electronic Information,Guangxi University,Nanning,Guangxi,530004,China)
Abstract:The paper introduces an arrhythmia detection algorithm based on feature extraction and multiple template matching.The algorithm creates the template database from the sample database.In order to create the feature database,the algorithm extracts the features of the template database and creates the indexes associated with the corresponding template database.Then,templates of the feature database and the Electrocardiography(ECG) are used to be inspected to execute the rough matching algorithm.If the cross-correlation of the rough matching is bigger than the predefined threshold,the indexes are used to load the corresponding template and execute the fine matching algorithm.The experimental results,verified by using MIT-BIH database,show the algorithm can guarantee the detection accuracy.
Keywords:detecting system  algorithm  feature database  cross-correlation  multiple template matching
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