128125 20241125101132.0 doi 10.1109/TBME.2023.3288701 sideral 134844 ART-2023-134844 eng Bachi, Lorenzo ECG modeling for simulation of arrhythmias in time-varying conditions 2023 Access copy available to the general public Unrestricted The present paper proposes an ECG simulator that advances modeling of arrhythmias and noise by introducing time-varying signal characteristics. The simulator is built around a discrete-time Markov chain model for simulating atrial and ventricular arrhythmias of particular relevance when analyzing atrial fibrillation (AF). Each state is associated with statistical information on episode duration and heartbeat characteristics. Statistical, time-varying modeling of muscle noise, motion artifacts, and the influence of respiration is introduced to increase the complexity of simulated ECGs, making the simulator well suited for data augmentation in machine learning. Modeling of how the PQ and QT intervals depend on heart rate is also introduced. The realism of simulated ECGs is assessed by three experienced doctors, showing that simulated ECGs are difficult to distinguish from real ECGs. Simulator usefulness is illustrated in terms of AF detection performance when either simulated or real ECGs are used to train a neural network for signal quality control. The results show that both types of training lead to similar performance. info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS info:eu-repo/grantAgreement/ES/MICINN/PID2019-104881RB-I00 info:eu-repo/grantAgreement/ES/MICINN/PID2019-105674RB-I00 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 4.4 2023 ENGINEERING, BIOMEDICAL 36 / 123 = 0.293 2023 Q2 T1 1.239 2023 Biomedical Engineering 2023 Q1 9.4 2023 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Halvaei, Hesam Pérez, Cristina Universidad de Zaragoza (orcid)0000-0002-8334-4786 Martín-Yebra, Alba Universidad de Zaragoza (orcid)0000-0003-0226-4950 Petrenas, Andrius Sološenko, Andrius Johnson, Linda Marozas, Vaidotas Martínez, Juan Pablo Universidad de Zaragoza (orcid)0000-0002-7503-3339 Pueyo, Esther Universidad de Zaragoza (orcid)0000-0002-1960-407X Stridh, Martin Laguna, Pablo Universidad de Zaragoza (orcid)0000-0003-3434-9254 Sörnmo, Leif 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 70, 12 (2023), 3449 - 3460 IEEE trans. biomed. eng. IEEE Transactions on Biomedical Engineering 0018-9294 4682662 http://zaguan.unizar.es/record/128125/files/texto_completo.pdf Postprint 3489955 http://zaguan.unizar.es/record/128125/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:128125 articulos driver 2024-11-22-11:59:25 ARTICLE