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Conference Paper/Proceeding/Abstract 806 views 381 downloads

Multi-model Deep Learning Ensemble for ECG Heartbeat Arrhythmia Classification

Ehab Essa, Xianghua Xie Orcid Logo

2020 28th European Signal Processing Conference (EUSIPCO)

Swansea University Authors: Ehab Essa, Xianghua Xie Orcid Logo

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DOI (Published version): 10.23919/eusipco47968.2020.9287520

Published in: 2020 28th European Signal Processing Conference (EUSIPCO)
ISBN: 978-1-7281-5001-7 9789082797053
ISSN: 2219-5491 2076-1465
Published: IEEE 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa55575
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first_indexed 2021-02-05T12:00:42Z
last_indexed 2021-11-11T04:20:57Z
id cronfa55575
recordtype SURis
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spelling 2021-11-10T09:35:29.2636086 v2 55575 2020-11-02 Multi-model Deep Learning Ensemble for ECG Heartbeat Arrhythmia Classification ed07364e0dd7b930e116fe9a0ae5d6ee Ehab Essa Ehab Essa true false b334d40963c7a2f435f06d2c26c74e11 0000-0002-2701-8660 Xianghua Xie Xianghua Xie true false 2020-11-02 Conference Paper/Proceeding/Abstract 2020 28th European Signal Processing Conference (EUSIPCO) IEEE 978-1-7281-5001-7 9789082797053 2219-5491 2076-1465 24 1 2021 2021-01-24 10.23919/eusipco47968.2020.9287520 COLLEGE NANME COLLEGE CODE Swansea University 2021-11-10T09:35:29.2636086 2020-11-02T09:40:02.2622702 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Ehab Essa 1 Xianghua Xie 0000-0002-2701-8660 2 55575__18559__ed4ea687fb654b589641ed7577041b08.pdf eusipco20.pdf 2020-11-02T09:40:44.5133214 Output 176288 application/pdf Accepted Manuscript true true eng
title Multi-model Deep Learning Ensemble for ECG Heartbeat Arrhythmia Classification
spellingShingle Multi-model Deep Learning Ensemble for ECG Heartbeat Arrhythmia Classification
Ehab Essa
Xianghua Xie
title_short Multi-model Deep Learning Ensemble for ECG Heartbeat Arrhythmia Classification
title_full Multi-model Deep Learning Ensemble for ECG Heartbeat Arrhythmia Classification
title_fullStr Multi-model Deep Learning Ensemble for ECG Heartbeat Arrhythmia Classification
title_full_unstemmed Multi-model Deep Learning Ensemble for ECG Heartbeat Arrhythmia Classification
title_sort Multi-model Deep Learning Ensemble for ECG Heartbeat Arrhythmia Classification
author_id_str_mv ed07364e0dd7b930e116fe9a0ae5d6ee
b334d40963c7a2f435f06d2c26c74e11
author_id_fullname_str_mv ed07364e0dd7b930e116fe9a0ae5d6ee_***_Ehab Essa
b334d40963c7a2f435f06d2c26c74e11_***_Xianghua Xie
author Ehab Essa
Xianghua Xie
author2 Ehab Essa
Xianghua Xie
format Conference Paper/Proceeding/Abstract
container_title 2020 28th European Signal Processing Conference (EUSIPCO)
publishDate 2021
institution Swansea University
isbn 978-1-7281-5001-7
9789082797053
issn 2219-5491
2076-1465
doi_str_mv 10.23919/eusipco47968.2020.9287520
publisher IEEE
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
published_date 2021-01-24T04:09:53Z
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score 11.036706

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