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Updated: Jun 11, 2025

Benefits of Cardiac Resynchronization Therapy in an Asynchronous Heart Failure Model Induced by Left Bundle Branch Ablation and Rapid Pacing

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Adaptive control of cardiac rhythms.

Gabriel da Silva Lima¹, Marcelo Amorim Savi², Wallace Moreira Bessa³

¹Turku Intelligent Embedded and Robotic Systems Lab, Faculty of Technology, University of Turku, Turku, Finland.

Scientific Reports

|October 7, 2024

Summary

This study developed an adaptive controller to regulate abnormal cardiac rhythms using a mathematical heart model. The controller effectively normalizes electrocardiogram (ECG) signals, reducing errors and control effort without prior system knowledge.

Keywords:

Adaptive control Cardiac rhythms Heart dynamics Natural pacemaker Nonlinear systems

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Published on: April 11, 2025

Area of Science:

Cardiovascular Physiology
Biomedical Engineering
Control Systems

Background:

Cardiac rhythms are crucial for cardiovascular physiology, typically monitored via electrocardiograms (ECGs).
Pathological cardiac rhythms can arise from disruptions in the heart's electrical conduction system (SA, AV, HP nodes).
Existing methods often require detailed system knowledge, limiting applicability.

Purpose of the Study:

To investigate the control of cardiac rhythms to restore normal heart function from pathological states.
To develop and evaluate an adaptive controller for regulating ECG signals.
To assess the controller's performance in the presence of inter- and intrapatient variability.

Main Methods:

Utilized a mathematical model of the heart as a network of three coupled nonlinear oscillators.
Induced pathological rhythms via external stimulation of the sinoatrial (SA) node.
Designed an adaptive controller based on Lyapunov stability principles, acting on the SA node signal.
Evaluated controller performance assuming the model was unknown to the controller (simulated environment).

Main Results:

The adaptive controller reduced tracking error by 20% and control effort by 3% compared to conventional feedback.
The controller successfully normalized abnormal ECG signals, guiding them towards expected healthy behavior.
Performance was maintained despite inter- and intrapatient variability, without requiring prior system information.

Conclusions:

An adaptive controller can effectively regulate ECG signals to prevent critical cardiac events.
This approach offers a robust method for managing cardiac rhythm disorders, adaptable to individual patient variations.
The controller's ability to function without prior system knowledge enhances its clinical potential.