DocumentCode
169925
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
fYear
2014
fDate
25-28 May 2014
Firstpage
91
Lastpage
92
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Cardiovascular Oscillations (ESGCO), 2014 8th Conference of the European Study Group on
Conference_Location
Trento
Type
conf
DOI
10.1109/ESGCO.2014.6847534
Filename
6847534
Link To Document