Enhanced resolution real-time electrical heart models.

Area of Science:

• Computational cardiovascular dynamics
• Biomedical engineering
• Medical device technology

Background:

• Real-time electrical heart models are crucial for closed-loop interaction with medical devices.
• Current models require enhancement for accurate simulation of cardiac electrical activity and disease states.

Purpose of the Study:

• To develop and validate a real-time electrical heart model using hybrid automata formalism.
• To assess the model's performance and potential for medical device design and verification.

Main Methods:

• Utilized hybrid automata formalism on a graph/network structure.
• Implemented software solutions in Matlab® Simulink®.
• Initiated hardware-in-the-loop testing on the Speedgoat® platform.

Main Results:

• The heart model achieved real-time performance with up to 644 nodes and 2802 edges in software.
• Enhanced resolution was maintained while preserving real-time functionality.
• The model successfully captured disease features like myocardial infarct and altered electrical activity sequences.

Conclusions:

• The developed real-time electrical heart model demonstrates significant promise for medical device design and verification.
• Its capacity for real-time interaction supports training and parameter setting for clinical applications.
• This model enhances the ability to simulate complex cardiac electrical phenomena and disease impacts.