A Principal Component Regression Approach for Estimation of Ventricular Repolarization Characteristics
A Principal Component Regression Approach for Estimation of Ventricular Repolarization Characteristics
复制标题
估计心室复极特性的主成分回归方法
DOI：
10.1109/tbme.2009.2037492
复制
发表时间：
2010
影响因子：
4.6
通讯作者：
P. Karjalainen
中科院分区：
文献类型：
--
作者：
J. Lipponen;M. Tarvainen;T. Laitinen;T. Lyyra;P. Karjalainen
ECG 中 Q 波起始和 T 波偏移之间的时间间隔（即 QT 间期）对应于总心室活动，包括除极和复极时间。有人认为，异常 QT 变异可能是室性心律失常等心脏病的标志，并且还观察到 QT 间期在低血糖期间延长。在本文中，我们提出了一种稳健的方法来估计心室复极特征，例如 QT 间期和 T 波幅度。该方法基于主成分回归。在该方法中，首先从关于R波的ECG中提取QT时期。然后，形成提取的历元的相关矩阵并计算其特征向量。然后将最重要的特征向量拟合到数据以获得 QT 历元的无噪声估计。 QT 历元特征的非平稳性也可以通过动态更新特征向量来建模。所提出方法的主要优点是对噪声的鲁棒性，即它在使用具有低信噪比的心电图时也有效，例如，在正常生活环境中测量的信号。所提出的方法的一种应用是低血糖的检测。
The time interval between Q-wave onset and T-wave offset, i.e., QT interval, in an ECG corresponds to the total ventricular activity, including both depolarization and repolarization times. It has been suggested that abnormal QT variability could be a marker of cardiac diseases such as ventricular arrhythmias, and QT-interval has also been observed to lengthen during hypoglycemia. In this paper, we propose a robust method for estimating ventricular repolarization characteristics such as QT interval and T-wave amplitude. The method is based on principal component regression. In the method, QT epochs are first extracted from ECG in respect of R-waves. Then, correlation matrix of the extracted epochs is formed and its eigenvectors computed. The most significant eigenvectors are then fitted to the data to obtain noise-free estimates of QT epochs. Nonstationarities in QT-epoch characteristics can also be modeled by updating the eigenvectors dynamically. The main benefit of the proposed method is robustness to noise, i.e., it works also when using ECGs that have low SNR, for example, signals measured during normal-life environments. One application of the proposed method could be the detection of the hypoglycemia.
影响因子：
16.2
作者：
Cox, DJ;Gonder-Frederick, LA;Clarke, WL
通讯作者：
Clarke, WL
影响因子：
37.8
作者：
Yan, GX;Antzelevitch, C
通讯作者：
Antzelevitch, C