K-means algorithm for the detection and delineation of QRS-complexes in Electrocardiogram
K-means algorithm for the detection and delineation of QRS-complexes in Electrocardiogram
复制标题
DOI：
10.1016/j.irbm.2009.10.001
复制
发表时间：
2010-02-01
期刊：
影响因子：
4.8
通讯作者：
Chouhan, V. S.
中科院分区：
文献类型：
--
作者：
Mehta, S. S.;Shete, D. A.;Chouhan, V. S.
心电图（Electrocardiogram， ECG）是一种重要的生物电信号，用于评估患者的心脏状态，它由与每次心跳相关的p波、qrs复波和t波的循环波序列组成，qrs复波是心电图的突出特征。本文提出了一种利用k均值聚类算法检测心电信号中qrs复合体的简单方法。采用数字滤波器去除心电信号中存在的电力线干扰和基线漂移，采用K-means算法对心电信号中的QRS区和非QRS区进行分类，利用CSE多导联测量库的数据集-3对算法的性能进行了验证，检测率为98.66%，假阳性和假阴性率分别为1.14%和1.34%。计算了自动标注和手动标注误差的均值和标准差，验证了算法的描述性能。检测到的qrs复合物的on集和偏移量都在CSE库指定的公差范围内。(C) 2009 Elsevier Masson SAS版权所有
Electrocardiogram (ECG) is an important bioelectrical signal used to asses the cardiac state of a patient It consists of a recurrent wave sequence of P-wave, QRS-complex and T-wave associated with each beat The QRS-complex is the prominent feature of the ECG. This paper presents a simple method using K-means clustering algorithm for the detection of QRS-complexes in ECG signal. Digital filters are used to remove the power line interference and baseline wander present in the ECG signal K-means algorithm is used to classify QRS and non-QRS-region in the ECG signal The performance of the algorithm is validated using dataset-3 of the CSE multi-lead measurement library Detection rate of 98.66% is obtained The percentage of false positive and false negative is 1.14% and 1.34% respectively. The mean and standard deviation of the errors between automatic and manual annotations is calculated to validate the delineation performance of the algorithm. The on sets and offsets of the detected QRS-complexes are found well within the tolerance limits its specified by the CSE library. (C) 2009 Elsevier Masson SAS All rights reserved.