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基于“小波-幅值-斜率”的P波检测新方法

A New Approach to Wavelet-Based P-wave Detection

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【作者】 万相奎秦树人梁小容丁建平

【Author】 Wan Xiangkui~(1,2) Qin Shuren~1 Liang Xiaorong~1 Ding Jianping~11(Test Center of Mechanical Engineering College,Chongqing University,Chongqing 400030,China)2(Information Engineering College,Guangdong University of Technology,Guangzhou 510006,China)

【机构】 重庆大学机械学院测试中心重庆大学机械学院测试中心 重庆400030广东工业大学信息工程学院广州510006重庆400030

【摘要】 根据P波的四类基本形态的特点,将小波变换与P波在变换后的幅值和斜率参数结合起来,提出了一种基于“小波-幅值-斜率”的P波检测新方法:先应用小波变换初步搜索出满足阈值的模极大值对;然后根据P波对应的模极大值对的特点,结合幅值和斜率判据,剔除干扰,检测P波的峰点和形态;最后区别单峰P波和双峰(及双向)P波,分别确定出P波的起点和终点。用该方法进行了随机采集的临床ECG数据和M IT/B IH数据的P波检测实验,和人工检测结果比较,实验统计结果显示正确检测率高于96%。

【Abstract】 According to the characteristics of four basic P morphologies,combining the wavelet transform and the amplitude and slope of transformed P wave,a new P-wave detecting method based on "wavelet-amplitude-slope" algorithm is presented: First search out all modulus maximum pairs to satify the threshold after wavelet transform,and then applying the amplitude and slope criterion exclude the interferes and detect the P peak and its shape,last determine the onset and end of P wave respectively which should be separatory calculated for single-peak and double-peak P wave(or biphasic P wave).The approach is applied in experiments of data from MIT/BIH database and randomly collected data of clinical ECG.The experimental statistical results shows that the correct detecting rate is as high as 96% compared to manual annotation.

【关键词】 P波小波幅值斜率阈值
【Key words】 P wave Wavelet Amplitude Slope Threshold
【基金】 重庆市重点攻关项目资助课题(7238)
  • 【文献出处】 生物医学工程学杂志 ,Journal of Biomedical Engineering , 编辑部邮箱 ,2006年04期
  • 【分类号】R318
  • 【被引频次】20
  • 【下载频次】181
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