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Detection of valvular heart diseases combining orthogonal non-negative matrix factorization and convolutional neural networks in PCG signals

dc.contributor.authorTorre Cruz, J.
dc.contributor.authorCanadas Quesada, F.
dc.contributor.authorRuiz Reyes, N.
dc.contributor.authorVera Candeas, P.
dc.contributor.authorGarcía Galán, S.
dc.contributor.authorCarabias Orti, J.
dc.contributor.authorRanilla Pastor, José 
dc.date.accessioned2023-10-25T08:55:33Z
dc.date.available2023-10-25T08:55:33Z
dc.date.issued2023
dc.identifier.citationJournal of BioMedical Informatics, 145 (2023); doi:10.1016/j.jbi.2023.104475
dc.identifier.issn1532-0464
dc.identifier.urihttps://hdl.handle.net/10651/70016
dc.description.sponsorshipThis work was supported in part under grant PID2020-119082RB-{C21,C22} funded by MCIN/AEI/10.13039/501100011033 , grant 1257914 funded by Programa Operativo FEDER Andalucia 2014-2020 , grant P18-RT-1994 funded by the Ministry of Economy, Knowledge and University, Junta de Andalucía, Spain , grant AYUD/2021/50994 funded by Gobierno del Principado de Asturias, Spain and the QUANTUM SPAIN project funded by the Ministry of Economic Affairs and Digital Transformation of the Spanish Government and the European Union through the Recovery, Transformation and Resilience Plan - NextGenerationEU.
dc.language.isoeng
dc.relation.ispartofJournal of BioMedical Informatics
dc.rights© 2023 Elsevier Inc.
dc.rightsCC Reconocimiento – No Comercial – Sin Obra Derivada 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85168553556&doi=10.1016%2fj.jbi.2023.104475&partnerID=40&md5=77a842732b4c5843d5b1c1f1b0726096
dc.titleDetection of valvular heart diseases combining orthogonal non-negative matrix factorization and convolutional neural networks in PCG signals
dc.typejournal article
dc.identifier.doi10.1016/j.jbi.2023.104475
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-119082RB-C21/ES/MONITORING BIOMEDICAL INFORMATION BASED ON INTELLIGENT CONTENT RETRIEVAL FROM CARDIAC AND RESPIRATORY SOUND SIGNALS - INTELLIGENT SIGNAL PROCESSING/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-119082RB-C22/ES/MONITORING BIOMEDICAL INFORMATION BASED ON INTELLIGENT CONTENT RETRIEVAL FROM CARDIAC AND RESPIRATORY SOUND SIGNALS - ADVANCED AND INTELLIGENT COMPUTING/
dc.relation.projectIDP18-RT-1994
dc.relation.projectIDAYUD/2021/50994
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.jbi.2023.104475
dc.rights.accessRightsopen access
dc.type.hasVersionAM


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