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%。
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-amplitudeslope＂ 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 singlepeak 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.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2006年第4期722-725,共4页
Journal of Biomedical Engineering
基金
重庆市重点攻关项目资助课题(7238)
关键词
P波
小波
幅值
斜率
阈值
P wave Wavelet Amplitude Slope Threshold
