TV Regularized Low-Rank Framework for Localizing Premature Ventricular Contraction Origin
TV Regularized Low-Rank Framework for Localizing Premature Ventricular Contraction Origin
复制标题
用于定位室性早搏起源的 TV 正则化低阶框架
DOI：
10.1109/access.2019.2899696
复制
发表时间：
2019-01-01
期刊：
影响因子：
3.9
通讯作者：
Liu, Huafeng
中科院分区：
文献类型：
--
作者：
Fang, Lin;Zhuang, Qi;Liu, Huafeng
室性早搏（PVC）会对人体健康造成极大危害。临床诊断中使用侵入性和非侵入性技术来检测 PVC 的电活动或定位异位起搏器。其中，心电图成像是通过体表电位（BSP）无创重建心脏电生理的流行方法。在本文中，我们提出了一种基于低秩稀疏分解（LSD）+全变分（TV）的新颖框架来解决时空心电图逆问题的不适定性，以重建 PVC 心电活动。所提出的框架将多帧心电位的时空分布视为一个整体。 TV用于从无数逆解中过滤出相对平滑的候选者。此外，LSD利用潜在背景的低秩特性和潜在离群点的稀疏性，避免潜在细节的丢失，提高潜在重建的准确性。这提高了电活动检索的质量和 PVC 起源定位的准确性。心室起搏重建的模拟实验和真实PVC患者的诊断实验证明，所提出的框架优于传统的二次方法（Tikhonov-0和Tikhonov-2）和非二次方法TV。
Premature ventricular contraction (PVC) can cause great harm to human health. Both invasive and non-invasive techniques for detecting electrical activity of PVC or locating ectopic pacemakers are used in clinical diagnosis. Among them, the electrocardiographic imaging is a popular method for non-invasive reconstruction of cardiac electrophysiology through body-surface potential (BSP). In this paper, we propose a novel framework based on low-rank and sparse decomposition (LSD) + total variation (TV) to solve the ill-posedness of the spatiotemporal ECG-inverse problem to reconstruct the cardiac electrical activity of PVC. The proposed framework considers the spatiotemporal distribution of multi-frame cardiac potential as a whole. The TV is used to filter out relatively smooth candidates from countless inverse solutions. In addition, LSD utilizes the low-rank characteristic of the potential background and the sparseness of the potential outliers to avoid the loss of potential details and improve the accuracy of potential reconstruction. This improves the quality of electrical activity retrieval and the accuracy of locating the PVC origin. The simulation experiments of ventricular pacing reconstruction and diagnostic experiments of real PVC patients prove that the proposed framework is superior to the conventional quadratic methods (Tikhonov-0 and Tikhonov-2) and the non-quadratic method TV.