Publication:

ECGencode: Compact and computationally efficient deep learning feature encoder for ECG signals

 
dc.contributor.authorBontinck, Lennert
dc.contributor.authorFonteyn, Karel
dc.contributor.authorDhaene, Tom
dc.contributor.authorDeschrijver, Dirk
dc.contributor.imecauthorBontinck, Lennert
dc.contributor.imecauthorFonteyn, Karel
dc.contributor.imecauthorDhaene, Tom
dc.contributor.imecauthorDeschrijver, Dirk
dc.contributor.orcidimecBontinck, Lennert::0000-0001-8223-3454
dc.contributor.orcidimecFonteyn, Karel::0000-0003-3513-0174
dc.contributor.orcidimecDhaene, Tom::0000-0003-2899-4636
dc.contributor.orcidimecDeschrijver, Dirk::0000-0001-6600-1792
dc.date.accessioned2025-06-23T13:26:47Z
dc.date.available2024-07-31T17:42:58Z
dc.date.available2024-08-01T07:16:10Z
dc.date.available2025-06-23T13:26:47Z
dc.date.embargo2025-01-18
dc.date.issued2024
dc.identifier.doi10.1016/j.eswa.2024.124775
dc.identifier.issn0957-4174
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/44226
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.source.beginpageArt. 124775
dc.source.endpageN/A
dc.source.issuePart C
dc.source.journalEXPERT SYSTEMS WITH APPLICATIONS
dc.source.numberofpages19
dc.source.volume255
dc.title

ECGencode: Compact and computationally efficient deep learning feature encoder for ECG signals

dc.typeJournal article
dspace.entity.typePublication
Files

Original bundle

Name:
8589_acc.pdf
Size:
1.5 MB
Format:
Unknown data format
Description:
Accepted version
Name:
8589.pdf
Size:
1.39 MB
Format:
Unknown data format
Description:
Published version
Publication available in collections: