ECG signals (744 fragments)

For research purposes, the ECG signals were obtained from the PhysioNet service (http://www.physionet.org) from the MIT-BIH Arrhythmia database. The created database with ECG signals is described below. 1) The ECG signals were from 29 patients: 15 female (age: 23-89) and 14 male (age: 32-89). 2) The ECG signals contained 17 classes: normal sinus rhythm, pacemaker rhythm, and 15 types of cardiac dysfunctions (for each of which at least 10 signal fragments were collected). 3) All ECG signals were recorded at a sampling frequency of 360 [Hz] and a gain of 200 [adu / mV]. 4) For the analysis, 744, 10-second (3600 samples) fragments of the ECG signal (not overlapping) were randomly selected. 5) Only signals derived from one lead, the MLII, were used. 6) Data are in mat format (Matlab).

本数据集用于科研目的，其心电信号（Electrocardiogram，ECG）取自PhysioNet平台（http://www.physionet.org）提供的MIT-BIH心律失常数据库（MIT-BIH Arrhythmia Database）。所构建的心电信号数据集说明如下：
1) 本次使用的心电信号来自29名患者：其中女性15名，年龄区间为23~89岁；男性14名，年龄区间为32~89岁。
2) 心电信号共涵盖17个类别：包括正常窦性心律、起搏器心律，以及15种心脏功能异常类型（每种异常类型至少采集了10段信号片段）。
3) 所有心电信号均以360赫兹的采样频率录制，增益为200 adu/mV。
4) 本次分析共随机选取744段不重叠的10秒心电信号片段（对应3600个采样点）。
5) 仅使用源自MLII导联的信号。
6) 数据集采用mat格式（Matlab）存储。