Cardiac Modeling

Bueno‐Orovio, Alfonso; Britton, Oliver J.; Muszkiewicz, Anna; Rodríguez, Blanca

doi:10.1016/b978-0-12-821618-7.40014-3

Cited by 1 publication

(1 citation statement)

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“…Several models have been developed to represent electrical cardiac dynamics. The bestknown model is the bidomain model, which is a set of mathematical equations that describe the electrical properties of cardiac tissue [20]. This model is widely used when maximum precision is required in numerical simulations and the computational cost is not important.…”

Section: Background and Related Workmentioning

confidence: 99%

Modeling the Electrical Activity of the Heart via Transfer Functions and Genetic Algorithms

Rodríguez-Abreo,

Cruz-Fernandez,

Fuentes-Silva

et al. 2024

Biomimetics

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Although healthcare and medical technology have advanced significantly over the past few decades, heart disease continues to be a major cause of mortality globally. Electrocardiography (ECG) is one of the most widely used tools for the detection of heart diseases. This study presents a mathematical model based on transfer functions that allows for the exploration and optimization of heart dynamics in Laplace space using a genetic algorithm (GA). The transfer function parameters were fine-tuned using the GA, with clinical ECG records serving as reference signals. The proposed model, which is based on polynomials and delays, approximates a real ECG with a root-mean-square error of 4.7% and an R2 value of 0.72. The model achieves the periodic nature of an ECG signal by using a single periodic impulse input. Its simplicity makes it possible to adjust waveform parameters with a predetermined understanding of their effects, which can be used to generate both arrhythmic patterns and healthy signals. This is a notable advantage over other models that are burdened by a large number of differential equations and many parameters.

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Section: Background and Related Workmentioning

confidence: 99%