心电图信号（744个片段）

资源简介

心电图信号（744个片段）

【数据集背景】

本数据集源站标题为《ECG signals (744 fragments)》。配套论文《Novel genetic ensembles of classifiers applied to myocardium dysfunction recognition based on ECG signals》发表于 Swarm and Evolutionary Computation（2018），DOI：10.1016/j.swevo.2017.10.002。源站首次发布：2017-11-14。

【数据内容】

源站原始描述：For research purposes, the ECG signals were obtained from the PhysioNet service ( 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 fr…

【数据结构与技术规格】

文件数 1 个，合计 2.76 MB。ECG signals (744 fragments).zip：application/zip，2.76 MB。数据集 DOI：10.6084/m9.figshare.5601664.v1。

【主题与分类】

源站学科分类：Health informatics and information systems、Biomedical engineering not elsewhere classified、Planning and decision making、Knowledge representation and reasoning、Pattern recognition、Data mining and knowledge discovery。主题标签：ECG、Biomedical signal processing and analysis、Classification、Machine learning、Feature extraction and selection、Health Informatics、Biomedical Engineering not elsewhere classified、Expert Systems、Knowledge Representation and Machine Learning、Pattern Recognition and Data Mining。

【适用方向】

时序数据适用于疾病进展预测、生理信号监测与事件发生的时序建模。

【获取与许可】

源站页面：https://figshare.com/articles/dataset/ECG_signals_744_fragments_/5601664

使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。

规范引用：Pławiak, Paweł (2017). ECG signals (744 fragments). figshare. Dataset

【使用注意】

· 源站最后修改于 2023-05-31，引用时请注意版本时效。