Database of 3D ECG and Metrics for Ischemic State Analysis

This database contains Python scripts for processing three-dimensional (3D) electrocardiogram (ECG) data, generating distance matrices (XY and XZ projections), performing statistical analyses, and computing metrics such as perimeter, curvature, and almost-curvature. The scripts support clustering, hypothesis testing, and graphical visualization. These tools are part of an innovative research initiative focused on defining and developing a 3D ECG through the assignment of polar coordinates to ECG variables, as well as the formulation of a novel parameter (almost-curvature) with potential clinical significance for detecting evolutionary changes in 3D ECG deflections during acute myocardial ischemia.

本数据库包含用于处理三维（3D）心电图（electrocardiogram, ECG）数据的Python脚本，可生成距离矩阵（XY与XZ投影形式）、开展统计分析，并计算周长、曲率及类曲率（almost-curvature）等指标。该脚本支持聚类分析、假设检验及图形可视化功能。本脚本集隶属于一项创新性研究项目，该项目通过为心电图变量赋予极坐标的方式，定义并构建三维心电图，同时提出一种新型参数——类曲率（almost-curvature），该参数在检测急性心肌缺血期间三维心电图波形的动态演变方面具备潜在临床价值。