Related Concept Videos
01:30Cardiac Action Potential
Cardiac action potentials are essential for proper heart function, enabling the rhythmic contractions needed for adequate blood circulation. Nodal cells and Purkinje fibers, specialized for electrical conduction, generate these action potentials.
The cardiac action potential process involves a series of phases characterized by the movement of ions across the cardiac cell membranes, leading to the depolarization and repolarization of the cardiac myocytes.
Ionic Basis of Cardiac Action Potentials
The cardiac action potential process involves a series of phases characterized by the movement of ions across the cardiac cell membranes, leading to the depolarization and repolarization of the cardiac myocytes.
Ionic Basis of Cardiac Action Potentials
01:28Mechanism of Cardiac Arrhythmias
Arrhythmias are irregular heart rhythms occurring when the heart's electrical impulses become abnormal. These disturbances can lead to various symptoms, depending on their severity and the underlying cause. Some common factors contributing to arrhythmias include hypoxia, ischemia, electrolyte imbalances, excessive catecholamine exposure, drug toxicity, and muscle overstretching. Arrhythmias can be classified into two main types based on the rate and site of origin of abnormal heart rhythms.
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Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
Published on: January 8, 2013
Modeling cardiac pacemaker malfunctions with the Virtual Heart Model.
Zhihao Jiang1, Rahul Mangharam
1Department of Electrical and System EngineeringUniversity of Pennsylvania, USA. zhihaoj@seas.upenn.edu
Summary
This study introduces a virtual heart model to accurately simulate pacemaker sensing, addressing limitations of current devices. This approach enhances pacemaker function testing and algorithm development for cardiac rhythm therapy.
Area of Science:
- Biomedical Engineering
- Computational Cardiology
- Medical Device Technology
Background:
- Implantable cardiac devices like pacemakers rely on accurate sensing of the heart's electrical activity.
- Current pacemaker models often assume perfect sensing, which is frequently violated in clinical practice due to lead displacement or crosstalk between heart chambers.
- Existing signal generators cannot fully capture the complexities of imperfect sensing.
Purpose of the Study:
- To investigate the spatial and temporal dynamics of cardiac electrical conduction in conjunction with a pacemaker model.
- To develop and validate a novel sensing model for pacemakers using the Penn Virtual Heart Model (VHM).
- To provide a tool for functional testing of pacemaker software and development of new rhythm therapy algorithms.
Main Methods:
- Utilized the Penn Virtual Heart Model (VHM) to simulate the heart's electrical conduction system.
- Developed a closed-loop simulation integrating a pacemaker model with the VHM.
- Modeled the pacemaker sensing mechanism by leveraging the heart's spatial properties.
- Validated the sensing model using established clinical cases.
Main Results:
- Demonstrated the capability of the VHM to model imperfect pacemaker sensing, including spatial and temporal aspects.
- Successfully validated the developed sensing model against clinical scenarios.
- Showcased the closed-loop simulation's effectiveness in evaluating pacemaker performance.
Conclusions:
- The Penn Virtual Heart Model provides a robust platform for simulating and understanding pacemaker-heart interactions.
- The developed sensing model accurately captures real-world sensing challenges, improving upon traditional methods.
- This simulation tool facilitates advanced functional testing, algorithm development, and training for cardiac electrophysiology.