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dc.contributor.author
Macas Ordóñez, Beatriz del Cisne  
dc.contributor.author
Ferrandez Vicente, Jose Manuel  
dc.contributor.author
Bonomini, Maria Paula  
dc.date.available
2023-08-28T14:42:25Z  
dc.date.issued
2022  
dc.identifier.citation
QRS-T angle as a biomarker for LBBB strict diagnose; 9th International Work-Conference on the Interplay between Natural and Artificial Computation; España; 2022; 586-594  
dc.identifier.isbn
978-3-031-06242-1  
dc.identifier.uri
http://hdl.handle.net/11336/209524  
dc.description.abstract
Currently, the diagnosis of left bundle branch block (LBBB)is based on the duration of the QRS complexes. However, aberrant QRScomplexes, characteristic of LBBB, obscure the delineation process, andtherefore, unreliable QRS durations are produced, due to erratic fidutialpoints. To overcome this flaw, we propose the QRS-T angle as analternative LBBB biomarker, which is independent of QRS duration. Asubset of heart failure patients with and without LBBB was comparedto a set of healthy patients, all obtained from the Telemetric and ECGHolter Warehouse Project. The methodology included signal filtering,construction of QRS and T loops and obtention of depolarization andrepolarization dominant vectors. Finally, the QRS-T angle in the different2D and 3D spaces were calculated. Results show that patients withLBBB have much larger QRS-T angles compared to Controls. Moreover,QRS-T angles in the XY plane and the XY Z volume were the markersthat best separated LBBB from intact conduction patients, with accuraciesof 100% and 96.9%, respectively. These results set the foundationsto further investigate the QRS-T angle as a biomarker for the diagnosisof left bundle branch block.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer Verlag Berlín  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
QRS-T ANGLE  
dc.subject
LEFT BUNDLE BRANCH BLOCK (LBBB)  
dc.subject
VECTORCARDIOGRAM  
dc.subject.classification
Ingeniería Médica  
dc.subject.classification
Ingeniería Médica  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
QRS-T angle as a biomarker for LBBB strict diagnose  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/conferenceObject  
dc.type
info:ar-repo/semantics/documento de conferencia  
dc.date.updated
2023-06-16T18:00:33Z  
dc.journal.volume
13258  
dc.journal.pagination
586-594  
dc.journal.pais
Alemania  
dc.journal.ciudad
Alemania  
dc.description.fil
Fil: Macas Ordóñez, Beatriz del Cisne. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina  
dc.description.fil
Fil: Ferrandez Vicente, Jose Manuel. Universidad de Cartagena; Colombia  
dc.description.fil
Fil: Bonomini, Maria Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1007/978-3-031-06242-1_58  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-031-06242-1_58  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.coverage
Internacional  
dc.type.subtype
Conferencia  
dc.description.nombreEvento
9th International Work-Conference on the Interplay between Natural and Artificial Computation  
dc.date.evento
2022-06-03  
dc.description.paisEvento
España  
dc.type.publicacion
Book  
dc.description.institucionOrganizadora
Universidad de La Laguna  
dc.description.institucionOrganizadora
Universidad Nacional de Educación a Distancia  
dc.description.institucionOrganizadora
Universidad Politécnica de Cartagena  
dc.source.libro
Artificial intelligence in neuroscience: affective analysis and health applications  
dc.type
Conferencia