Alfredo Oliveira Junior1, Jonathan Araujo Queiroz2, Luis Fausto3, Allan Kardec Barros2, Luis Cláudio De O. Silva2, Marcus Vinicius Lopes2
09:05 - 09:55 | Fri 17 Feb | Ballroom D | FrRAF.8
In this work, a classifier is proposed to diagnose atrial fibrillation, which is one of the arrhythmias that most cause death in the world. The proposed classifier is based on a statistical analysis of the amplitude variability of the electrocardiogram signal using kurtosis and obtained sensitivity of 100%, specificity of 88.33% and accuracy of 91.33%.