Spatial Distribution of Wilson's Central Terminal (WCT) on the Body Surface: Meshes, Body Surface Potential Maps, Atrial Activation Times, and WCT Analysis for 25 Torso Models and 100 Bi-Atrial Models
收藏资源简介：
This dataset accompanies the publication: "Wilson's Central Terminal Changes Location on the Body Surface During the P-Wave: Why Precordial Leads Might Not Be What We Think" by Bender et al. (https://doi.org/10.64898/2026.05.20.26352966). Overview This dataset includes: body surface potential maps (BSPMs) 12-lead ECGs atrial activation times (LATs) models for a cohort of 100 atrial and 25 torso models derived from statistical shape models (SSMs) Atrial Models The bi-atrial SSM and the derived models are openly available under the Creative Commons license CC-BY 4.0 (https://doi.org/10.5281/zenodo.5571925) and presented in Nagel et al., “A Bi-Atrial Statistical Shape Model for Large-Scale in Silico Studies of Human Atria.” (https://doi.org/10.1016/j.media.2021.102210). Atrial models in this dataset are taken either from the original SSM cohort (100 random instances derived from the model, named cn617_gxxx.zip) or the LAE cohort (95 geometries with uniformly distributed left atrial volumes in LAE_geometries.zip). Note that the geometries from the LAE cohort were specifically selected here from those with volumes within the normal left atrial volume ranges. For details, see the description of the model dataset: https://doi.org/10.5281/zenodo.5571925. Torso Models The body SSM is openly available under the Simplified BSD License at http://humanshape.mpi-inf.mpg.de/. Torso models were derived by varying the two leading eigenvectors of the SSM systematically in a range of [−2𝜎, +2𝜎] as presented in Nagel et al., “Non-Invasive and Quantitative Estimation of Left Atrial Fibrosis Based on P Waves of the 12-Lead ECG—A Large-Scale Computational Study Covering Anatomical Variability.” (https://doi.org/10.3390/jcm10081797). Data Structure 1. Atrial Activation (/LATs) Stored as atrialModel.vtk files including: Material Tags: tags for atrial regions as in Nagel et al., “A Bi-Atrial Statistical Shape Model for Large-Scale in Silico Studies of Human Atria.” (https://doi.org/10.1016/j.media.2021.102210) / https://doi.org/10.5281/zenodo.5571925 Fibers: Preferential myocyte orientation vectors (‘fiber orientation’). LATs: Local Activation Times (measured in seconds). 2. Results (/results): All data is provided in MATLAB (.mat) format. Files follow a standardized naming convention: atrialModel_torsoModel.mat. Each .mat file contains: bspm: body surface potential maps (rows = points in torso model, columns = timesteps, time discretization 1ms; [nPointsTorso;nTimepoints]) ecg: 12-lead ECG with leads I,II,III, aVR, aVL, aVF, V1-V6: (rows = leads (12), columns = timesteps, time discretization 1ms; [12;nTimepoints]) percentageOfTime: percentage of time of the P-wave during which |BSPM-WCT| ≤ 5µV for each point on the torso surface ([1;nPointsTorso]) nPointsTorso is the number of points in the respective torso model and nTimesteps the number of timesteps. 3. Torso Geometry (/torsoModels) 25 torso models, T13 is the mean shape torsoModel.vtk: The 3D mesh of the torso. torsoModel_electrodes.csv: (x,y,z) coordinates for right arm, left arm, left foot, V1-V6, right foot ECG electrodes
本数据集配套发表于Bender等人的论文《Wilson中心导联在体表的位置随P波发生改变：心前导联或许并非我们所想》（https://doi.org/10.64898/2026.05.20.26352966）。 概述 本数据集包含以下内容： 1. 体表电位标测图（body surface potential maps, BSPMs） 2. 12导联心电图（12-lead ECGs） 3. 局部激活时间（local activation times, LATs） 4. 基于统计形状模型（statistical shape models, SSMs）衍生得到的100个心房队列模型与25个躯干模型 ### 心房模型 本研究使用的双心房统计形状模型及其衍生模型已基于知识共享署名4.0许可（Creative Commons license CC-BY 4.0，https://doi.org/10.5281/zenodo.5571925）公开，相关内容见于Nagel等人发表的论文《用于人类心房大规模计算机模拟研究的双心房统计形状模型》（https://doi.org/10.1016/j.media.2021.102210）。 本数据集的心房模型有两个来源：一是原始统计形状模型队列（从模型中随机抽取的100个实例，文件名为cn617_gxxx.zip）；二是左心房扩大（left atrial enlargement, LAE）队列（LAE_geometries.zip中包含95个几何模型，其左心房体积呈均匀分布）。需注意，本次选用的LAE队列几何模型均来自左心房体积处于正常范围内的样本。详细信息可参阅模型数据集的说明：https://doi.org/10.5281/zenodo.5571925。 ### 躯干模型 本研究使用的体表统计形状模型已基于简化BSD许可（Simplified BSD License）公开，获取地址为http://humanshape.mpi-inf.mpg.de/。躯干模型的构建方式为：对统计形状模型的前两个主特征向量进行系统范围的[-2σ, +2σ]调整，相关方法见于Nagel等人的论文《基于12导联心电图P波无创定量评估左心房纤维化：一项覆盖解剖变异的大规模计算研究》（https://doi.org/10.3390/jcm10081797）。 #### 数据结构 1. 心房激活数据（/LATs） 存储为atrialModel.vtk格式文件，包含以下内容： - 材料标签（Material Tags）：对应Nagel等人论文中定义的心房区域标签（https://doi.org/10.1016/j.media.2021.102210 / https://doi.org/10.5281/zenodo.5571925） - 肌纤维（Fibers）：心肌细胞的优先取向向量（即“纤维取向”） - 局部激活时间（LATs）：局部激活时间，单位为秒 2. 计算结果（/results） 所有数据均以MATLAB格式（.mat）存储。文件遵循标准化命名规则：atrialModel_torsoModel.mat。每个.mat文件包含以下内容： - bspm：体表电位标测图，维度为[躯干点数; 时间步数]，其中行对应躯干模型的各点，列对应时间步，时间离散化步长为1ms - ecg：12导联心电图，包含导联I、II、III、aVR、aVL、aVF、V1~V6，维度为[12; 时间步数]，其中行对应12个导联，列对应时间步，时间离散化步长为1ms - percentageOfTime：躯干表面各点满足|BSPM-WCT| ≤5μV的P波时间占比，维度为[1; 躯干点数] 其中nPointsTorso为对应躯干模型的点数，nTimesteps为时间步数。 3. 躯干几何模型（/torsoModels） 共包含25个躯干模型，其中T13为平均形状 - torsoModel.vtk：躯干的三维网格模型 - torsoModel_electrodes.csv：右上肢、左上肢、左足、V1~V6、右足心电图电极的(x,y,z)坐标
