Cardiac Position Sensitivity Study in the Electrocardiographic Forward Problem Using Stochastic Collocation and Boundary Element Methods

Swenson, Darrell; Geneser, Sarah; Stinstra, J.G.; Kirby, Robert M.; MacLeod, Rob S.

doi:10.1007/s10439-011-0391-5

Cited by 43 publications

(48 citation statements)

References 30 publications

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“…Regarding uncertain locations and orientations of sources in the electrocardiographic (ECG) forward problem, Swenson et al [35] used the gPC method in combination with a sampling based on sparse Smolyak grids to predict changes in heart location and orientation on body-surface ECG potentials. The advantage of such a non-intrusive formulation of the gPC method is that the underlying deterministic model describing the bio-electrical application can remain unchanged.…”

Section: Discussionmentioning

confidence: 99%

Impact of uncertain head tissue conductivity in the optimization of transcranial direct current stimulation for an auditory target

et al. 2015

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Objective Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation technique to modify neural excitability. Using multi-array tDCS, we investigate the influence of inter-individually varying head tissue conductivity profiles on optimal electrode configurations for an auditory cortex stimulation. Approach In order to quantify the uncertainty of the optimal electrode configurations, multi-variate generalized Polynomial Chaos (gPC) expansions of the model solutions are used based on uncertain conductivity profiles of the compartments skin, skull, gray matter, and white matter. Stochastic measures, probability density functions, and sensitivity of the quantities of interest are investigated for each electrode and the current density at the target with the resulting stimulation protocols visualized on the head surface. Main results We demonstrate that the optimized stimulation protocols are only comprised of a few active electrodes, with tolerable deviations in the stimulation amplitude of the anode. However, large deviations in the order of the uncertainty in the conductivity profiles could be noted in the stimulation protocol of the compensating cathodes. Regarding these main stimulation electrodes, the stimulation protocol was most sensitive to uncertainty in skull conductivity. Finally, the probability that the current density amplitude in the auditory cortex target region is supra-threshold was below 50%. Significance The results suggest that an uncertain conductivity profile in computational models of tDCS can have a substantial influence on the prediction of optimal stimulation protocols for stimulation of the auditory cortex. The investigations carried out in this study present a possibility to predict the probability of providing a therapeutic effect with an optimized electrode system for future auditory clinical and experimental procedures of tDCS applications.

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Section: Discussionmentioning

confidence: 99%

Impact of uncertain head tissue conductivity in the optimization of transcranial direct current stimulation for an auditory target

et al. 2015

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“…In terms of geometry, the larger variations are found for the heart long axis angle. Swenson et al [17] also revealed the importance of cardiac angulation in the ECG forward problem. Another study showed that ECG imaging is sensitive to global anatomical parameters such as the heart orientation and location with regard to the lead positions [18].…”

Section: B Reference Anatomy In Ecgimentioning

confidence: 99%

Transfer Learning From Simulations on a Reference Anatomy for ECGI in Personalized Cardiac Resynchronization Therapy

Giffard‐Roisin

Delingette²,

Jackson

et al. 2019

IEEE Trans. Biomed. Eng.

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Abstract-Goal: Non-invasive cardiac electrophysiology (EP) model personalisation has raised interest for instance in the scope of predicting EP cardiac resynchronization therapy (CRT) response. However, the restricted clinical applicability of current methods is due in particular to the limitation to simple situations and the important computational cost. Methods: We propose in this manuscript an approach to tackle these two issues. First, we analyse more complex propagation patterns (multiple onsets and scar tissue) using relevance vector regression and shape dimensionality reduction on a large simulated database. Second, this learning is performed offline on a reference anatomy and transferred onto patient-specific anatomies in order to achieve fast personalised predictions online. Results: We evaluated our method on a dataset composed of 20 dyssynchrony patients with a total of 120 different cardiac cycles. The comparison with a commercially available electrocardiographic imaging (ECGI) method shows a good identification of the cardiac activation pattern. From the cardiac parameters estimated in sinus rhythm, we predicted 5 different paced patterns for each patient. The comparison with the body surface potential mappings (BSPM) measured during pacing and the ECGI method indicates a good predictive power. Conclusion: We showed that learning offline from a large simulated database on a reference anatomy was able to capture the main cardiac EP characteristics from non-invasive measurements for fast patient-specific predictions. Significance: The fast CRT pacing predictions are a step forward to a noninvasive CRT patient selection and therapy optimisation, to help clinicians in these difficult tasks.

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“…Swenson et al [3] created a geometric model consisting of triangular elements representing the heart and torso tank surfaces and supposed significant potential variations, especially ST-segment voltage changes by postural change. These variations seemed to be more pronounced for a heart exhibiting increased ischemic potential.…”

Section: Introductionmentioning

confidence: 99%

Clinical impact of repolarization changes in supine versus upright body position

et al. 2018

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Cardiac Position Sensitivity Study in the Electrocardiographic Forward Problem Using Stochastic Collocation and Boundary Element Methods

Cited by 43 publications

References 30 publications

Impact of uncertain head tissue conductivity in the optimization of transcranial direct current stimulation for an auditory target

Impact of uncertain head tissue conductivity in the optimization of transcranial direct current stimulation for an auditory target

Transfer Learning From Simulations on a Reference Anatomy for ECGI in Personalized Cardiac Resynchronization Therapy

Clinical impact of repolarization changes in supine versus upright body position

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