Title :
Classification of cardiac rhythm based on heart rate dynamics
Author :
Carrara, M. ; Carozzi, L. ; Cerutti, Sergio ; Ferrario, M. ; Lake, D.E. ; Moorman, J.R.
Author_Institution :
Dipt. di Elettron., Inf. e Bioingegneria (DEIB), Politec. di Milano, Milan, Italy
Abstract :
Cardiac rhythm classification is usually achieved using the raw electrocardiogram signal (EKG), which is not always available. By means of dynamical measures we developed a RR based classifier which is able to distinguish normal sinus rhythm (NSR), atrial fibrillation (AF) and sinus rhythm with ectopy with an accuracy of 99%, 81% and 77%, respectively, using 10-minute segments. The classifier was built on the University of Virginia (UVa) Holter database.
Keywords :
diseases; electrocardiography; medical signal processing; signal classification; 10-minute segments; Holter database; RR based classifier; atrial fibrillation; cardiac rhythm classification; dynamical measures; ectopy; heart rate dynamics; normal sinus rhythm; raw electrocardiogram signal; time 10 min; Accuracy; Educational institutions; Heart rate variability; Lakes; Rhythm; Time series analysis;
Conference_Titel :
Cardiovascular Oscillations (ESGCO), 2014 8th Conference of the European Study Group on
Conference_Location :
Trento
DOI :
10.1109/ESGCO.2014.6847534
