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室性早搏的多模板匹配自适应识别算法
引用本文:张集墨,张跃,杨波.室性早搏的多模板匹配自适应识别算法[J].计算机工程与设计,2011,32(8):2885-2888.
作者姓名:张集墨  张跃  杨波
作者单位:清华大学深圳研究生院嵌入式系统与技术实验室,广东深圳,518055
基金项目:湖南省科技重大专项基金项目
摘    要:为实现室性早搏的自动判别,提出一种基于多模板匹配的自适应识别算法。采用滤波提高数据信噪比,利用样本数据通过特定的自学习机制建立模板库,设计模板的压缩算法实现待测心搏与模板心搏宽度的对齐,采用模板队列匹配和模板库匹配相结合的匹配策略,设计自适应更新规则实时优化队列与库的结构,利用相关系数检测室早。使用MIT-BIH数据库进行测试,达到99.39%的灵敏度和98.79%的特异度。

关 键 词:模板匹配  模板压缩  相关系数  RR间期  室性早搏

Adaptive algorithm for PVC recognition based on multiple template matching
ZHANG Ji-mo,ZHANG Yue,YANG Bo.Adaptive algorithm for PVC recognition based on multiple template matching[J].Computer Engineering and Design,2011,32(8):2885-2888.
Authors:ZHANG Ji-mo  ZHANG Yue  YANG Bo
Affiliation:ZHANG Ji-mo,ZHANG Yue,YANG Bo(Embedded System Lab,Graduate School at Shenzhen,Tsinghua University,Shenzhen 518055,China)
Abstract:An adaptive algorithm for PVC recognition based on multiple template matching is presented.Filtering technology is adapted to improve the SNR of ECG data and a template database is established with training samples through self-learning method.The corre-lation coefficient is used to detect PVC beats from normal beats,with a compressed method specially designed to adjust the width of the tested heartbeat and the template.A two-stage strategy is proposed based on template queue matching and template database ...
Keywords:template matching  compressed template  correlation coefficient  RR interval  PVC  
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