两种开源ECG算法性能测评研究  

Performance Evaluation of Two Open Resource ECG Algorithms

作　　者：李静[1] 王步青[1] 刘洪运[1] 王卫东[1] LI Jing;WANG Buqing;LIU Hongyun;WANG Weidong(Medical Engineering and Maintenance Center, Chinese PLA General Hospital, Beijing 100853, China)

机构地区：[1]解放军总医院医学工程与维修中心,北京100853

出　　处：《中国医疗设备》2017年第11期32-34,43,共4页China Medical Devices

基　　金：国家自然科学基金(61372047);国家科技支撑计划(2013BAI03B04)

摘　　要：目的评价小波分析法(Wavedet)、基于差分阈值法的滤波器分析法(Pantom)两种心电(Electrocardiogram,ECG)的QRS波群检测算法的性能。方法利用ECG-Kit工具包,基于Physio Net网站的心电信号数据库,对MIT-BIH心律失常数据库的25组ECG原始数据,通过两种开源算法进行QRS波群的位置的准确性比较。结果"Wavedet"算法比"Pantom"算法相对准确率高,运行速度快。结论"Wavedet"算法较为适合应用在临床上,对ECG信号的检测具有可行性,具有更广阔的应用前景。Objective To evaluate the performance of two kinds of electrocardiogram(ECG)QRS complex detection algorithms Wavedet and Pantom.Methods Accuracy of the position of QRS complexes of the25groups of ECG original data in the MIT-BIH arrhythmia database were compared by two open resource algorithms based on the ECG data of the PhysioNet website via using the ECG-Kit.Results The accuracy rate of“Wavedet”algorithm was higher and the speed was faster than“Pantom”.Conclusion The“Wavedet”algorithm is more suitable for clinical application.It is feasible for the detection of ECG signal and has a wider application prospect.

关 键 词：小波变换分析算法 差分阈值算法 QRS波群 ECG-Kit工具包 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]