We introduced a modeling framework for the generation of realistic ventricular interval (RR) series to be used in the validation of atrial arrhythmia detection algorithms. The framework included three previously proposed models, which reproduced the specific variability properties of RR series in normal sinus rhythm, atrial flutter (AFL) and atrial fibrillation (AF). Transitions between the three rhythms were governed by a three-state continuous-time Markov chain model, which could be tuned to obtain arrhythmic episodes of the requested length. As a representative application, the modeling framework was used to generate a database of RR series for the validation of a previously proposed AF detection algorithm, which was based on RR pattern similarity. The validation showed the deterioration of detector performance in presence of simulated AFL episodes. Thanks to the detailed reproduction of the specific features of the two most common atrial arrhythmias, our modeling framework may constitute a novel tool for the assessment and comparison of detection algorithm performance.

Modeling Framework for the Generation of Synthetic RR Series during Atrial Arrhythmias∗ / Masè, M.; Marsili, I. A.; Nollo, G.; Ravelli, F.. - 2019:(2019), pp. 6347-6350. (Intervento presentato al convegno EMBS tenutosi a - nel -) [10.1109/EMBC.2019.8857842].

Modeling Framework for the Generation of Synthetic RR Series during Atrial Arrhythmias∗

Masè M.;Marsili I. A.;Nollo G.;Ravelli F.
2019-01-01

Abstract

We introduced a modeling framework for the generation of realistic ventricular interval (RR) series to be used in the validation of atrial arrhythmia detection algorithms. The framework included three previously proposed models, which reproduced the specific variability properties of RR series in normal sinus rhythm, atrial flutter (AFL) and atrial fibrillation (AF). Transitions between the three rhythms were governed by a three-state continuous-time Markov chain model, which could be tuned to obtain arrhythmic episodes of the requested length. As a representative application, the modeling framework was used to generate a database of RR series for the validation of a previously proposed AF detection algorithm, which was based on RR pattern similarity. The validation showed the deterioration of detector performance in presence of simulated AFL episodes. Thanks to the detailed reproduction of the specific features of the two most common atrial arrhythmias, our modeling framework may constitute a novel tool for the assessment and comparison of detection algorithm performance.
2019
PROCEEDINGS OF 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Piscataway, NJ
Institute of Electrical and Electronics Engineers Inc.
Masè, M.; Marsili, I. A.; Nollo, G.; Ravelli, F.
Modeling Framework for the Generation of Synthetic RR Series during Atrial Arrhythmias∗ / Masè, M.; Marsili, I. A.; Nollo, G.; Ravelli, F.. - 2019:(2019), pp. 6347-6350. (Intervento presentato al convegno EMBS tenutosi a - nel -) [10.1109/EMBC.2019.8857842].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/253458
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