Key result
Electrical cardiac cell models achieve a ~91% match with clinical ECG data for ischemia.
Why the study?
Ischaemia leads to heart muscle death and loss of action potential, motivating the modeling of cardiac electrical potential and ECG generation to simulate ischaemic signals.
An electrical model of the cardiac cell can accurately simulate ECG signals of cardiac ischemia with a 91% match to clinical data.
Answers are grounded in this paper and cite their sources.
Does not support clinical use; leaves open human validation of cardiac cell models for ischemia ECG.
One of the most common causes of heart failure is ischaemia. In this disease, the heart muscles die due to the lack or insufficiency of the blood in the cardiac veins. As a result of such a phenomenon, the action potential in that part of the heart would fade. In this article, using the electric model of the cardiac cell and the mechanism of producing an ECG signal in the heart, the process of producing cardiac electrical potential has been modelled. In this regard, the basic constituent signals of the ECG are generated. Afterward, by accumulating these signals, the final ECG is reproduced. In addition, by variation of the presented model parameters, the cardiac ischaemic signal is simulated in a way that the influence of ventricle ischaemia on the ventricular tissues is considered. The results of such a simulation demonstrate a sufficient match between the model output and the reported changes of the cardiac arrhythmia including ischaemic failures. Here, we report the 91% match between the simulated signal and the considered clinical data.
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Fallahi et al. (2019) studied Cardiac ischemia. Electrical model of cardiac cell for ECG signal generation vs. Clinical data was evaluated on Match between simulated signal and clinical data. The simulated ECG signal using an electrical model of a cardiac cell demonstrated a 91% match with clinical data for cardiac ischemia.
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