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Sensitivity analysis of ventricular activation and electrocardiogram in tailored models of heart-failure patients
- Source :
- Medical & Biological Engineering & Computing, Medical and Biological Engineering and Computing, Medical and Biological Engineering and Computing, Springer Verlag, 2018, 56, pp.491-504. ⟨10.1007/s11517-017-1696-9⟩, Medical and Biological Engineering and Computing, 2018, 56, pp.491-504. ⟨10.1007/s11517-017-1696-9⟩, Medical & Biological Engineering & Computing, 56(3), 491-504. Springer, Zaguán. Repositorio Digital de la Universidad de Zaragoza, instname
- Publication Year :
- 2018
- Publisher :
- Springer, 2018.
-
Abstract
- International audience; Cardiac resynchronization therapy is not effective in a variable proportion of heart failure patients. An accurate knowledge of each patient's electroanatomical features could be helpful to determine the most appropriate treatment. The goal of this study was to analyze and quantify the sensitivity of left ventricular (LV) activation and the electrocardiogram (ECG) to changes in 39 parameters used to tune realistic anatomical-electrophysiological models of the heart. Electrical activity in the ventricles was simulated using a reaction-diffusion equation. To simulate cellular electrophysiology, the Ten Tusscher-Panfilov 2006 model was used. Intracardiac electrograms and 12-lead ECGs were computed by solving the bidomain equation. Parameters showing the highest sensitivity values were similar in the six patients studied. QRS complex and LV activation times were modulated by the sodium current, the cell surface-to-volume ratio in the LV, and tissue conductivities. The T-wavewas modulated by the calcium and rectifier-potassium currents, and the cell surface-to-volume ratio in both ventricles. We conclude that homogeneous changes in ionic currents entail similar effects in all ECG leads, whereas the effects of changes in tissue properties show larger inter-lead variability. The effects of parameter variations are highly consistent between patients and most of the model tuning could be performed with only ~10 parameters.
- Subjects :
- Male
medicine.medical_treatment
02 engineering and technology
030204 cardiovascular system & hematology
Electrocardiography
0302 clinical medicine
MAGNETIC-RESONANCE
Computer simulation
ECG morphology
Heart failure
Left bundle branch block
Patient-specific model
Sensitivity analysis
Biomedical Engineering
Computer Science Applications1707 Computer Vision and Pattern Recognition
medicine.diagnostic_test
Models, Cardiovascular
Middle Aged
Computer Science Applications
VARIABILITY
Ventricular activation
Cardiology
MESH: Mathematical Computation
Female
CARDIAC RESYNCHRONIZATION THERAPY
RHYTHM
ARRHYTHMOGENESIS
BUNDLE-BRANCH BLOCK
medicine.medical_specialty
Heart Ventricles
0206 medical engineering
Cardiac resynchronization therapy
2204 Biomedical Engineering
610 Medicine & health
11171 Cardiocentro Ticino
CELLULAR ELECTROPHYSIOLOGY
03 medical and health sciences
QRS complex
[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system
Internal medicine
medicine
1706 Computer Science Applications
Humans
Sensitivity (control systems)
MESH: Cardiac electrophysiology
Aged
Demography
Bundle branch block
business.industry
CONDUCTION DEFECTS
Magnetic resonance imaging
medicine.disease
020601 biomedical engineering
TISSUE
MESH: Heart Failure
PATTERNS
business
Biomedical engineering
Subjects
Details
- Language :
- English
- ISSN :
- 17410444 and 01400118
- Volume :
- 56
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Medical & Biological Engineering & Computing
- Accession number :
- edsair.doi.dedup.....652acd117ed7a2a49b5a471fb6bc288d