Publication:

Cardiac Arrhythmia Classification Using Advanced Deep Learning Techniques on Digitized ECG Datasets

Date

2024
Journal article
https://doi.org/10.3390/s24082484
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dc.contributor.authorSattar, Shoaib
dc.contributor.authorMumtaz, Rafia
dc.contributor.authorQadir, Mamoon
dc.contributor.authorMumtaz, Sadaf
dc.contributor.authorKhan, Muhammad Ajmal
dc.contributor.authorDe Waele, Timo
dc.contributor.authorDe Poorter, Eli
dc.contributor.authorMoerman, Ingrid
dc.contributor.authorShahid, Adnan
dc.contributor.imecauthorDe Waele, Timo
dc.contributor.imecauthorDe Poorter, Eli
dc.contributor.imecauthorMoerman, Ingrid
dc.contributor.imecauthorShahid, Adnan
dc.contributor.orcidimecDe Waele, Timo::0000-0001-6518-9834
dc.contributor.orcidimecDe Poorter, Eli::0000-0002-0214-5751
dc.contributor.orcidimecMoerman, Ingrid::0000-0003-2377-3674
dc.contributor.orcidimecShahid, Adnan::0000-0003-1943-6261
dc.date.accessioned2024-09-12T14:36:44Z
dc.date.available2024-05-05T18:02:42Z
dc.date.available2024-05-06T09:20:18Z
dc.date.available2024-09-12T14:36:44Z
dc.date.embargo2024-04-12
dc.date.issued2024
dc.description.wosFundingTextThe research work is conducted in the NUST-Coventry Internet of Things Lab (NCIL) at NUST-SEECS, Islamabad, Pakistan.
dc.identifier.doi10.3390/s24082484
dc.identifier.issn1424-8220
dc.identifier.pmidMEDLINE:38676101
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43909
dc.publisherMDPI
dc.source.beginpageArt. 2484
dc.source.endpageN/A
dc.source.issue8
dc.source.journalSENSORS
dc.source.numberofpages23
dc.source.volume24
dc.subject.keywordsCONVOLUTIONAL NEURAL-NETWORKS
dc.title

Cardiac Arrhythmia Classification Using Advanced Deep Learning Techniques on Digitized ECG Datasets

dc.typeJournal article
dspace.entity.typePublication
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