Abstract
Atrial fibrillation (AF) is the most common cardiac arrhythmia encountered in the clinical practice in the western countries. People with AF usually have a significantly increased risk of stroke. Clinically, AF is diagnosed by a surface electrocardiogram (ECG). AF is characterized by the absence of P-waves and by a rapid irregular ventricular rhythm. The algorithms for automatic detection of AF either rely on the absence of P-waves or are based on ventricular rhythm variability (RR variability). This work presents an automatic algorithm for AF real time detection based on the analysis of the RR series (ventricular interbeat intervals) and of the difference between successive RR intervals (\({\it \Delta}{\rm RR}\) intervals). Coefficient of variation of \({\it \Delta}{\rm RR}\) series and Shannon Entropy of RR series, computed over 5 minutes segments, are used to discriminate AF from normal sinus rhythm. A classifier based on the Mahalanobis distance is then used.
The proposed algorithm was clinically validated on 61 patients with an history/suspect of intermittent AF. The results obtained show that the algorithm can precisely detect AF episodes from a 5-minute, single lead ECG, whit a specificity of 97.9%, a sensitivity of 100%, and an accuracy of 98.4%. Its implementation on a microcontroller makes it suitable as a home-care device for the accurate detection of AF episodes.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 International Federation for Medical and Biological Engineering
About this paper
Cite this paper
Triventi, M., Calcagnini, G., Censi, F., Mattei, E., Mele, F., Bartolini, P. (2010). Clinical Validation of an Algorithm for Automatic Detection of Atrial Fibrillation from Single Lead ECG. In: Bamidis, P.D., Pallikarakis, N. (eds) XII Mediterranean Conference on Medical and Biological Engineering and Computing 2010. IFMBE Proceedings, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13039-7_42
Download citation
DOI: https://doi.org/10.1007/978-3-642-13039-7_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13038-0
Online ISBN: 978-3-642-13039-7
eBook Packages: EngineeringEngineering (R0)