Mostrar el registro sencillo del ítem
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
Archivos asociados