9 datasets found

The dataset used in this study is a collection of electrocardiogram (ECG) signals for the 2017 PhysioNet/CinC Challenge.

The dataset used in the PhysioNet/CinC 2020 Challenge contains 43,101 ECG records.

The PhysioNet/CinC 2020 Challenge dataset contains 12-lead electrocardiogram (ECG) records for classification of 27 heart conditions.

A public dataset for ECG classification

The Georgia dataset is a sample dataset from the Python library mgwr, containing socio-economic attributes of 159 counties in Georgia, USA.

A public training dataset for ECG classification

The dataset used in the paper is ECG records of healthy and sick persons. The dataset contains 96 ECG fragments of four healthy persons aged from 21 to 27 and 120 ECG fragments...

ECG classification system for arrhythmia detection using Convolutional Neural Network

The PTB-XL dataset consists of 21837 clinical 12-lead ECGs, each lasting 10 seconds, from 18885 patients.