Periodically kicked network of RLC oscillators to produce ECG signals

Area of Science:

• Biophysics
• Computational Biology
• Cardiovascular Physiology

Background:

• Realistic modeling of cardiac electrical activity is crucial for understanding heart function.
• Existing cardiac oscillator models often lack analytical solutions.

Purpose of the Study:

• To propose a novel, simple model of heart electrical activity.
• To generate realistic synthetic electrocardiogram (ECG) signals.
• To provide an analytical solution for cardiac modeling.

Main Methods:

• Utilized two RLC linear oscillators representing atria and ventricles.
• Incorporated a coupling capacitor for the cardiac conduction system (unidirectional/bidirectional).
• Applied periodic impulses from a main pacemaker, including time delay for electrical transport.

Main Results:

• Successfully reproduced realistic healthy synthetic ECG signals.
• Demonstrated an analytical solution for a single impulse and impulse train via superposition.
• Highlighted the novelty of analytical treatment in this cardiac oscillator model.

Conclusions:

• The proposed RLC oscillator model effectively simulates healthy cardiac electrical activity.
• The model's analytical solvability offers a significant advantage over existing methods.
• This approach provides a new tool for studying and simulating ECG signals.