Key result
Review categorizes ECGI forward problem methods into surface potential, double-layer, and transmembrane voltage models.
Why the study?
The ECGI forward problem is the cornerstone of ECGI for reconstructing cardiac electrical activity, requiring a review of its modeling process and research progress.
This review provides a comprehensive overview of the mathematical models used in the forward problem of electrocardiographic imaging, which is foundational for reconstructing cardiac electrical activity.
Answers are grounded in this paper and cite their sources.
Provides taxonomy for ECGI forward models; leaves open comparative validation before clinical adoption.
Electrocardiographic imaging (ECGI) is a noninvasive technique for reconstructing cardiac electrical activity by recording body-surface potentials and geometric information of the heart and torso. The ECGI forward problem is the cornerstone of ECGI. Depending on the forward model, ECGI can reconstruct epicardial/endocardial surface potentials, activation/recovery sequences, transmembrane voltages, and other electrophysiological quantities of interest. This article reviews the modeling process and research progress of forward modeling. This review systematically summarizes the mathematical methods used in the ECGI forward problem by classifying them into three representative models: the cardiac surface potential (CSP), equivalent double-layer (EDL), and transmembrane voltage (TMV) models, with detailed derivations and guidance on their practical applications.
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Zhang et al. (2026) conducted a review in Electrocardiographic imaging (ECGI) forward problem. Electrocardiographic imaging (ECGI) forward modeling was evaluated. This review systematically summarizes mathematical methods used in the ECGI forward problem, classifying them into cardiac surface potential, equivalent double-layer, and transmembrane voltage models.
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