ECG Images dataset of Cardiac and COVID-19 Patients

被引:83
|
作者
Khan, Ali Haider [1 ]
Hussain, Muzammil [1 ]
Malik, Muhammad Kamran [2 ]
机构
[1] Univ Management & Technol Lahore, Sch Syst & Technol, Dept Comp Sci, Lahore, Pakistan
[2] Univ Punjab Lahore, Dept Comp Sci, Lahore, Pakistan
来源
DATA IN BRIEF | 2021年 / 34卷
关键词
Cardiac care; ECG dataset; COVID-19; Health care institutes; Deep learning;
D O I
10.1016/j.dib.2021.106762
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The study contains the dataset of ECG images of Cardiac and COVID-19 patients. This rare dataset contains 1937 distinct patient records, data is collected using ECG Device 'EDAN SERIES-3' installed in Cardiac Care and Isolation Units of different health care institutes across Pakistan. The collected ECG images data were manually reviewed by medical professors using Telehealth ECG diagnostic system, under the supervision of senior medical professionals with experience in ECG interpretation. The manual reviewing process of ECG images took several months to review the five distinct categories (COVID-19, Abnormal Heartbeat, Myocardial Infarction (MI), Previous History of MI, and Normal Person). The collected data contains 12 leads-based ECG images dataset can be used by Data Scientist, IT Professional and Medical Research Institutes to design, compare, fine-tune classical techniques and Deep learning methods in studies focused on COVID-19, Arrhythmia, and other cardiovascular conditions. The dataset contains rare categories of patients that may be used for the development of automatic diagnosis tool for healthcare institutes. (C) 2021 The Authors. Published by Elsevier Inc.
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收藏
页数:5
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