摘要
心电信号特征参数的提取和识别是心电图分析和诊断的基础.在心电信号的分析中,快速准确地检出QRS波群非常重要,它是计算相关参数和诊断的前提.该文对QRS波群的检测算法进行了研究,对传统差分阈值法在R波检测中存在的一些问题加以改进,将正向和倒置R波分开检测,提出了在自适应差分阈值法检测正向R波的基础上,用幅值基线比较法检测倒置R波的检测方法.在Q、S波检测方面,文章以差分法为基础,给出了Q、S波定位的一种简便易行的方法.利用美国麻省理工学院的MIT_BIH心电数据库和临床实测数据对以上方法进行验证,QRS波群的检出率高达99.4%以上.实验结果表明,该方法简单有效、准确率高,适于实际应用。
Analysis and diagnosis of an electrocardiogram （ECG）is based on the extraction and recognition of characteristic parameters in an electrocardiogram signal. The precise detection of QRS complexes is very important in analysis of electrocardiogram signal, because it is the precondition of the calculation of correlative parameters and diagnosis. To improve the conventional difference threshold algorithm. Algorithms of QRS complexes detection were studied on the basis of detecting positive R wave by adaptive difference threshold algorithm, an amplitude baseline algorithm was proposed to detect inverse R wave. Based on Tompkins＇s difference algorithm,a simple and convenient method was given to detect Q and S point. Finally, the American MIT-BIH database and clinical data were used to validate the algorithms, and detection rate of the QRS complexes excelled to 99.4%. Experimental results indicated that these proposed methods were simple, effective, accurate and suitable for practical application.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2005年第4期513-517,共5页
Journal of Harbin Engineering University
基金
黑龙江省信息产业厅信息产业化基金资助项目(FX-02-048)
关键词
心电图
QRS波群
特征参数检测
差分阈值法
electrocardiogram（ECG）
QRS complexes
detection of characteristic parameters
difference threshold algorithm
