Literature DB >> 33521183

ECG Images dataset of Cardiac and COVID-19 Patients.

Ali Haider Khan1, Muzammil Hussain1, Muhammad Kamran Malik2.   

Abstract

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.
© 2021 The Authors. Published by Elsevier Inc.

Entities:  

Keywords:  COVID-19; Cardiac care; Deep learning; ECG dataset; Health care institutes

Year:  2021        PMID: 33521183      PMCID: PMC7820911          DOI: 10.1016/j.dib.2021.106762

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


  1 in total

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  1 in total
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Journal:  Comput Biol Med       Date:  2022-01-05       Impact factor: 4.589

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Journal:  Biosensors (Basel)       Date:  2022-05-05

3.  Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning.

Authors:  Mehmet Akif Ozdemir; Gizem Dilara Ozdemir; Onan Guren
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4.  COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network.

Authors:  Tawsifur Rahman; Alex Akinbi; Muhammad E H Chowdhury; Tarik A Rashid; Abdulkadir Şengür; Amith Khandakar; Khandaker Reajul Islam; Aras M Ismael
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5.  COVID-19 disease diagnosis from paper-based ECG trace image data using a novel convolutional neural network model.

Authors:  Emrah Irmak
Journal:  Phys Eng Sci Med       Date:  2022-01-12

6.  Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection.

Authors:  Nebras Sobahi; Abdulkadir Sengur; Ru-San Tan; U Rajendra Acharya
Journal:  Comput Biol Med       Date:  2022-02-20       Impact factor: 4.589

7.  Artificial Intelligence for Cardiac Diseases Diagnosis and Prediction Using ECG Images on Embedded Systems.

Authors:  Lotfi Mhamdi; Oussama Dammak; François Cottin; Imed Ben Dhaou
Journal:  Biomedicines       Date:  2022-08-19
  7 in total

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