PDF(Pubmed)
Abstract：
Brugada Syndrome (BrS) is a primary electrical epicardial disease characterized by ST-segment elevation followed by a negative T-wave in the right precordial leads on the surface electrocardiogram (ECG), also known as the \'type 1\' ECG pattern. The risk stratification of asymptomatic individuals with spontaneous type 1 ECG pattern remains challenging. Clinical and electrocardiographic prognostic markers are known. As none of these predictors alone is highly reliable in terms of arrhythmic prognosis, several multi-factor risk scores have been proposed for this purpose. This article presents a new workflow for processing endocardial signals acquired with high-density RV electro-anatomical mapping (HDEAM) from BrS patients. The workflow, which relies solely on Matlab software, calculates various electrical parameters and creates multi-parametric maps of the right ventricle. The workflow, but it has already been employed in several research studies involving patients carried out by our group, showing its potential positive impact in clinical studies. Here, we will provide a technical description of its functionalities, along with the results obtained on a BrS patient who underwent an endocardial HDEAM.
摘要：
Brugada综合征（BrS）是一种原发性心外膜电疾病，其特征是ST段抬高，然后在体表心电图（ECG）上的右心前导联出现负T波。也称为“类型1”ECG模式。具有自发性1型ECG模式的无症状个体的风险分层仍然具有挑战性。临床和心电图预后标记是已知的。由于这些预测因子在心律失常预后方面都不是高度可靠的，为此，已经提出了几个多因素风险评分。本文介绍了一种新的工作流程，用于处理通过高密度RV电解剖标测（HDEAM）从BrS患者获得的心内膜信号。工作流,完全依赖于Matlab软件，计算各种电参数并创建右心室的多参数图。工作流,但是它已经被用于我们小组进行的涉及患者的几项研究中，显示其在临床研究中的潜在积极影响。这里,我们将提供其功能的技术描述，以及在接受心内膜HDEAM的BrS患者中获得的结果。
