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Applicability of Body Surface Potential Map in Computerized Optimization of Biventricular Pacing

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Abstract

Biventricular pacing (BVP) could be improved by identifying the patient-specific optimal electrode positions. Body surface potential map (BSPM) is a non-invasive technique for obtaining the electrophysiology and pathology of a patient. The study proposes the use of BSPM as input for an automated non-invasive strategy based on a personalized computer model of the heart, to identify the patient pathology and specific optimal treatment with BVP devices. The anatomy of a patient suffering from left bundle branch block and myocardial infarction is extracted from a series of MR data sets. The clinical measurements of BSPM are used to parameterize the computer model of the heart to represent the individual pathology. Cardiac electrophysiology is simulated with ten Tusscher cell model and excitation propagation is calculated with adaptive cellular automaton, at physiological and pathological conduction levels. The optimal electrode configurations are identified by evaluating the QRS error between healthy and pathology case with/without pacing. Afterwards, the simulated ECGs for optimal pacing are compared to the post-implantation clinically measured ECGs. Both simulation and clinical optimization methods identified the right ventricular (RV) apex and the LV posterolateral regions as being the optimal electrode configuration for the patient. The QRS duration is reduced both in measured and simulated ECG after implantation with 20 and 14%, respectively. The optimized electrode positions found by simulation are comparable to the ones used in hospital. The similarity in QRS duration reduction between measured and simulated ECG signals indicates the success of the method. The computer model presented in this work is a suitable tool to investigate individual pathologies. The personalized model could assist therapy planning of BVP in patients with congestive heart failure. The proposed method could be used as prototype for further clinically oriented investigations of computerized optimization of biventricular pacing.

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Authors and Affiliations

  1. Institute of Biomedical Engineering, Universitaet Karlsruhe (TH), Kaiserstrasse 12, 76131, Karlsruhe, Germany

    Raz Miri, Jose Vicente Bayarri & Olaf Dössel

  2. Department of Biomedical Engineering, Maastricht University, Maastricht, The Netherlands

    Iulia M. Graf

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  1. Raz Miri
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  2. Iulia M. Graf
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  3. Jose Vicente Bayarri
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  4. Olaf Dössel
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Correspondence to Raz Miri.

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Associate Editor Jennifer West oversaw the review of this article.

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Miri, R., Graf, I.M., Bayarri, J.V. et al. Applicability of Body Surface Potential Map in Computerized Optimization of Biventricular Pacing. Ann Biomed Eng 38, 865–875 (2010). https://doi.org/10.1007/s10439-010-9944-2

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  • DOI: https://doi.org/10.1007/s10439-010-9944-2

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