Sensitivity analysis of ventricular activation and electrocardiogram in tailored models of heart-failure patients.
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 o...
| Published in: | Medical & Biological Engineering & Computing Vol. 56; no. 3; pp. 491 - 505 |
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| Main Authors: | , , , , , , , , |
| Format: | equations & formulas pictorial research tables/charts tracings Journal Article |
| Published: |
Springer Nature
Mar2018
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=128292219&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 128292219 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Mar2018 vid: 56 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 128292219 128292219 NLM28823052 128292219 10.1007/s11517-017-1696-9 NLM28823052 128292219 ppf: 491 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Sensitivity analysis of ventricular activation and electrocardiogram in tailored models of heart-failure patients. aug: au: Sánchez, C. D’Ambrosio, G. Maffessanti, F. Caiani, E. G. Prinzen, F. W. Krause, R. Auricchio, A. Potse, M. D'Ambrosio, G affil: Center for Computational Medicine in Cardiology (CCMC), Institute of Computational Science, Università della Svizzera italiana, Lugano, Switzerland sug: subj: Heart Ventricle Heart Ventricle Physiopathology Heart Failure Physiopathology Models, Biological Electrocardiography Female Aged Computer Simulation Middle Age Demography Male Human Aged: 65+ years Middle Aged: 45-64 years Female Male ab: 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-wave was 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. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts tracings Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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