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DC Field | Value | Language |
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dc.contributor.author | Vanegas Peralta, Pablo Fernando | - |
dc.contributor.author | Morocho Zurita, Carlos Villie | - |
dc.contributor.author | Dugarte, Nelson | - |
dc.contributor.author | Cuadrado, Jhosmary | - |
dc.contributor.author | Medina, Ruben | - |
dc.contributor.author | Wong de balzan , Sara Null | - |
dc.date.accessioned | 2020-05-08T23:29:57Z | - |
dc.date.available | 2020-05-08T23:29:57Z | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 2040-2295 | - |
dc.identifier.uri | http://dspace.ucuenca.edu.ec/handle/123456789/34255 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85065251764&origin=inward | - |
dc.description | This work reports a multilead QT interval measurement algorithm for a high-resolution digital electrocardiograph. The software enables off-line ECG processing including QRS detection as well as an accurate multilead QT interval detection algorithm using support vector machines (SVMs). Two fiducial points ( and ) are estimated using the SVM algorithm on each incoming beat. This enables segmentation of the current beat for obtaining the P, QRS, and T waves. The QT interval is estimated by updating the QT interval on each lead, considering shifting techniques with respect to a valid beat template. The validation of the QT interval measurement algorithm is attained using the Physionet PTB diagnostic ECG database showing a percent error of with respect to the database annotations. The usefulness of this software tool is also tested by considering the analysis of the ECG signals for a group of 60 patients acquired using our digital electrocardiograph. In this case, the validation is performed by comparing the estimated QT interval with respect to the estimation obtained using the Cardiosoft software providing a percent error of . | - |
dc.description.abstract | This work reports a multilead QT interval measurement algorithm for a high-resolution digital electrocardiograph. The software enables off-line ECG processing including QRS detection as well as an accurate multilead QT interval detection algorithm using support vector machines (SVMs). Two fiducial points ( and ) are estimated using the SVM algorithm on each incoming beat. This enables segmentation of the current beat for obtaining the P, QRS, and T waves. The QT interval is estimated by updating the QT interval on each lead, considering shifting techniques with respect to a valid beat template. The validation of the QT interval measurement algorithm is attained using the Physionet PTB diagnostic ECG database showing a percent error of with respect to the database annotations. The usefulness of this software tool is also tested by considering the analysis of the ECG signals for a group of 60 patients acquired using our digital electrocardiograph. In this case, the validation is performed by comparing the estimated QT interval with respect to the estimation obtained using the Cardiosoft software providing a percent error of . | - |
dc.language.iso | es_ES | - |
dc.source | Journal of Healthcare Engineering | - |
dc.subject | Vector machines | - |
dc.subject | Interval estimation | - |
dc.subject | Multilead QT | - |
dc.title | ECG Multilead QT interval estimation using support vector machines | - |
dc.type | ARTÍCULO | - |
dc.ucuenca.idautor | 0300930328 | - |
dc.ucuenca.idautor | 081929618 | - |
dc.ucuenca.idautor | 0000-0001-9028-4868 | - |
dc.ucuenca.idautor | Orcid.org/0000-0002-6387-7761 | - |
dc.ucuenca.idautor | 0000-0001-7665-0171 | - |
dc.ucuenca.idautor | 0102274891 | - |
dc.identifier.doi | 10.1155/2019/6371871 | - |
dc.ucuenca.version | Versión publicada | - |
dc.ucuenca.areaconocimientounescoamplio | 05 - Ciencias Físicas, Ciencias Naturales, Matemáticas y Estadísticas | - |
dc.ucuenca.afiliacion | Medina, R., Universidad De Los Andes, Merida, Venezuela | - |
dc.ucuenca.afiliacion | Cuadrado, J., Pontificia Universidad Católica de Valparaíso, Valparaiso, Chile | - |
dc.ucuenca.afiliacion | Dugarte, N., Universidad De Los Andes, Merida, Venezuela | - |
dc.ucuenca.afiliacion | Wong de balzan, S., Universidad de Cuenca, Cuenca, Ecuador | - |
dc.ucuenca.afiliacion | Vanegas, P., Universidad de Cuenca, Cuenca, Ecuador | - |
dc.ucuenca.afiliacion | Morocho, C., Universidad de Cuenca, Cuenca, Ecuador | - |
dc.ucuenca.correspondencia | Cuadrado, Jhosmary, jhosmary.cuadros@sansano.usm.cl | - |
dc.ucuenca.volumen | Volumen 2019 | - |
dc.ucuenca.indicebibliografico | SCOPUS | - |
dc.ucuenca.factorimpacto | 0.28 | - |
dc.ucuenca.cuartil | Q3 | - |
dc.ucuenca.numerocitaciones | 0 | - |
dc.ucuenca.areaconocimientofrascatiamplio | 2. Ingeniería y Tecnología | - |
dc.ucuenca.areaconocimientofrascatiespecifico | 2.11 Otras Ingenierias y Tecnologías | - |
dc.ucuenca.areaconocimientofrascatidetallado | 2.11.2 Otras Ingenierias y Tecnologías | - |
dc.ucuenca.areaconocimientounescoespecifico | 051 - Ciencias Biológicas y Afines | - |
dc.ucuenca.areaconocimientounescodetallado | 0511 - Biología | - |
dc.ucuenca.urifuente | https://www.hindawi.com/journals/jhe/contents/year/2019 | - |
Appears in Collections: | Artículos |
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documento.pdf | document | 1.97 MB | Adobe PDF | View/Open |
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