[Computer modeling of ventricular fibrillation].

Area of Science:

• Cardiovascular Physiology
• Computational Biology
• Biomedical Engineering

Context:

• Ventricular fibrillation (VF) is a life-threatening cardiac arrhythmia characterized by chaotic electrical activity.
• Understanding the underlying mechanisms of VF is crucial for developing effective treatments.
• Current modeling approaches often simplify the complex electrical dynamics of the heart during VF.

Purpose:

• To develop a computational model representing cardiac electrical activity during ventricular fibrillation.
• To investigate the internal structure and irregularities of VF using computer simulations.
• To validate the model against real physiological data from animal experiments.

Summary:

• Cardiac electrical activity during ventricular fibrillation was modeled as a sum of independent pulse streams with varying amplitude-frequency and phase characteristics.
• Computer experiments were conducted using this model and results were compared with physiological experiments on rabbits.
• Model identification was performed using a least-squares procedure, confirming its accuracy.

Impact:

• The developed technique facilitates computer-based investigations into the intricate internal structure of ventricular fibrillation.
• This approach can enhance the understanding of VF dynamics and potentially lead to improved therapeutic strategies.
• The study provides a novel computational tool for analyzing complex cardiac arrhythmias.