Estudio comparativo de algoritmos para la detección de la fibrilación auricular
Ver/
Fecha
2011Autor
Director
Versión
Acceso abierto / Sarbide irekia
Tipo
Proyecto Fin de Carrera / Ikasketen Amaierako Proiektua
Impacto
|
nodoi-noplumx
|
Resumen
Nine algorithms for Atrial Fibrillation (AF) detection were evaluated using the same protocol. The public
databases MIT-BIH Arrhythmia and AF from PhysioNet were employed for the evaluation and comparison of
these nine algorithms. Their performances were reported not only in terms of sensitivity (Se), specificity (Sp),
positive predictive value (PPV), and error rate (Err), but also in terms of ...
[++]
Nine algorithms for Atrial Fibrillation (AF) detection were evaluated using the same protocol. The public
databases MIT-BIH Arrhythmia and AF from PhysioNet were employed for the evaluation and comparison of
these nine algorithms. Their performances were reported not only in terms of sensitivity (Se), specificity (Sp),
positive predictive value (PPV), and error rate (Err), but also in terms of window length, input signal length,
robustness to noise and computation time. These algorithms are based on the analysis of two characteristics
observed in ECGs with AF: RR intervals Irregularity (RRI) and a chaotic atrial activity (AA). This AA can be
analyzed in frequency (FA) and/or in time domain (P wave absence, PWA). Five algorithms were based on
RRI; one algorithm was based only on AA; and the last three algorithms combined RRI with AA techniques. [--]
Materias
Electrocardiograms (ECG),
Atrial fibrillation,
RR intervals irregularity,
Atrial activity
Departamento
Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica y Electrónica /
Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektrikoa eta Elektronikoa Saila
Titulación
Ingeniería de Telecomunicación /
Telekomunikazio Ingeniaritza