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Mechanism-driven ECG simulation framework for teaching drug-induced cardiac electrophysiology
Rittinarong Meepong1, Nuttinee Teerakulkittipong1, Phakdee Sukpornsawan1
1Faculty of Pharmaceutical SciencesBurapha University, Chonburi, Thailand.
Advances in Physiology Education
|April 3, 2026
Summary
This study presents a novel ECG simulation framework to visualize how drugs affect heart rhythms. It helps students understand dose-dependent changes in cardiac arrhythmias and electrocardiogram patterns.
Area of Science:
- Physiology
- Pharmacology
- Medical Education
Background:
- Drug-induced cardiac arrhythmias are crucial for physiology and pharmacology education.
- Students face challenges linking electrophysiological mechanisms to electrocardiogram (ECG) changes.
- A gap exists in dynamic, mechanism-based learning tools for these concepts.
Purpose of the Study:
- To develop a mechanism-driven ECG simulation framework.
- To model dose-dependent ECG waveform alterations from drug-induced disturbances.
- To support structured classroom implementation for teaching cardiac arrhythmias.
Main Methods:
- Integrated a parameter-controlled electrophysiological engine with deterministic waveform generation.
- Simulated progressive ECG morphology changes across drug classes and exposure levels.
- Evaluated computational stability and reproducibility using agreement and validation metrics.
Main Results:
- Demonstrated high reproducibility and narrow confidence intervals in waveform parameter estimation.
- Enabled real-time visualization of QT prolongation, conduction delay, and repolarization abnormalities.
- Showcased dose-responsive alterations in ECG morphology.
Conclusions:
- The framework promotes mechanism-based reasoning over memorization of static ECG patterns.
- Provides a reproducible, educator-focused platform for teaching drug-induced cardiac arrhythmias.
- Facilitates scaffolded, hypothesis-driven classroom use.
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