Repositorio Institucional

 

A comprehensive deep learning pipeline for arrhythmias multi-classification with electrocardiography data

Simple item page
dc.contributor.authorQuirós-Corella, Fabricio
dc.contributor.authorLoaiza, Randall
dc.contributor.authorMatarrita, Rosa
dc.contributor.authorMeneses, Esteban
dc.date.accessioned2025-10-10T20:56:27Z
dc.date.available2025-10-10T20:56:27Z
dc.date.issued2025
dc.identifier.doi10.1109/BIP63158.2024.10885391
dc.identifier.urihttps://hdl.handle.net/20.500.12337/10849
dc.language.isoen
dc.publisher2024 IEEE 6th International Conference on BioInspired Processing (BIP)
dc.relationhttps://doi.org/10.1109/BIP63158.2024.10885391
dc.rightsacceso abierto
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectARRITMIAS
dc.subjectINTELIGENCIA ARTIFICIAL
dc.subjectELECTROCARDIOGRAMA
dc.subjectAPRENDIZAJE
dc.titleA comprehensive deep learning pipeline for arrhythmias multi-classification with electrocardiography data
dc.typeartículo de investigación

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Enlace para consultar el contenido.pdf
Size:
40.25 KB
Format:
Unknown data format
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.03 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ARTICULOS CNCA