ECG Fragment Database for the Exploration of Dangerous Arrhythmia

The database contains a set of 2 second fragments of ECG signals with rhythm disturbances, which are grouped into separate classes according to the degree of threat to the patient's life. It is intended for practical use to develop and test the efficiency of algorithms for detecting dangerous arrhythmias for continuous monitoring systems. The “MIT-BIH Malignant Ventricular Ectopy Database” (MVED) was selected as the primary source of ECG records. This database contains heart rhythm disturbances necessary for research and is widely used for testing and comparative analysis of various algorithms for detecting arrhythmia threats. The signal is a modified limb lead II (MLII).该数据库汇聚了一系列时长为2秒的心电图（ECG）信号片段，这些信号片段由于心律失常而分组，并根据其对患者生命安全构成威胁的程度进行分类。该数据库旨在实际应用中，用于开发与测试连续监测系统中危险心律检测算法的效率。其中，“麻省理工学院-哈佛大学（MIT-BIH）恶性室性异位搏动数据库”（MVEP）被选为心电图记录的主要来源。该数据库蕴含了研究所需的心律失常数据，并被广泛用于测试及比较分析各种检测心律威胁算法的效能。所采用的信号为改良肢体导联II（MLII）。

搜集汇总

背景与挑战

背景概述

该数据集包含1016个2秒的ECG信号片段，分为6个类别，根据心律失常对患者生命的威胁程度进行排序。数据集旨在支持危险心律失常检测算法的开发和测试，特别适用于连续监测系统。数据集还包括每个片段的频谱描述，便于在频域进行分析。