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Short-time regularity assessment of fibrillatory waves from the surface ECG in atrial fibrillation

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Short-time regularity assessment of fibrillatory waves from the surface ECG in atrial fibrillation

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Alcaraz, R.; Hornero, F.; Martinez, A.; Rieta, JJ. (2012). Short-time regularity assessment of fibrillatory waves from the surface ECG in atrial fibrillation. Physiological Measurement. 33(6):969-984. https://doi.org/10.1088/0967-3334/33/6/969

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Nombre: R. Alcaraz;F. ...
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Título: Short-time regularity assessment of fibrillatory waves from the surface ECG in atrial fibrillation
Autor: Alcaraz, Raul Hornero, Fernando Martinez, Arturo Rieta, J J
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Universitat Politècnica de València. Grupo de ingeniería en bioseñales e imagen radiológica
Fecha difusión:
Resumen:
This paper proposes the first non-invasive method for direct and short-time regularity quantification of atrial fibrillatory (f) waves from the surface ECG in atrial fibrillation (AF). Regularity is estimated by computing ...[+]
Palabras clave: Atrial fibrillation , ECG , Fibrillatory wave regularity , Signal processing , Waveform morphology
Derechos de uso: Cerrado
Fuente:
Physiological Measurement. (issn: 0967-3334 )
DOI: 10.1088/0967-3334/33/6/969
Editorial:
IOP Publishing: Hybrid Open Access
Versión del editor: http://dx.doi.org/10.1088/0967-3334/33/6/969
Código del Proyecto:
info:eu-repo/grantAgreement/MICINN//TEC2010-20633/ES/DESARROLLO Y APLICACION DE ESTIMADORES AVANZADOS DE ORGANIZACION PARA LA CLASIFICACION TERAPEUTICA Y EL SEGUIMIENTO DE PACIENTES CON FIBRILACION AURICULAR/
info:eu-repo/grantAgreement/Junta de Comunidades de Castilla-La Mancha//PII1C09-0036-3237/ES/Predicción De Riesgo De Muerte Súbita Tras Infarto De Miocardio Mediante Técnicas Avanzadas De Procesado Digital De Señal/
info:eu-repo/grantAgreement/Junta de Comunidades de Castilla-La Mancha//PPII11-0194-8121]/ES/PPII11-0194-8121]/
Agradecimientos:
The authors are grateful to Drs Javier Vinas, Elio Martin and Alejandro Vazquez for their contribution to classify blindly the AF episodes used in this work. This work was supported by the projects TEC2010-20633 from the ...[+]
Tipo: Artículo

References

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