摘要
提出一种新算法进行QT间期的自动分析方法对ECG信号进行小波变换,根据模极大值对的形态进行T波识别。结果,经MIT-BIH数据库检验,QRS波识别率达到了99.52%。经QT数据库检验,T波正确识别率达到了87.69%,与心电专家手工标注相比,误差为0.33ms±10.59ms。
Objective to present a new algorithm for automatic analysis of QT interval Methods ECG signal was first decomposed using the wavelet transform , then T wave recognition was done according to the module maxima pair＇s morphology. Results validated with MIT-BIH database, QRS detection rate was 99.52%. Validated with the QT database , the T wave detection rate was 87. 69%, and the difference between manual annotations and the detector＇s T wave ends was 0.33 ms±10.59 ms.
出处
《传感技术学报》
EI
CAS
CSCD
北大核心
2006年第3期625-628,共4页
Chinese Journal of Sensors and Actuators
基金
国家自然科学基金资助(30470461)
关键词
ECG
QT检测
T波识别
小波变换
ECG
QT detection
T wave recognition
wavelet transform
