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Arrhythmia is a condition characterized by an irregular heart rhythm, with ECG changes that differ based on its origin and nature. The types of arrhythmias discussed below include atrial, junctional, and ventricular arrhythmias.Atrial ArrhythmiasPremature Atrial Complexes (PACs): PACs are early atrial beats caused by stress, caffeine, alcohol, electrolyte imbalances, hypoxia, hyperthyroidism, or certain medications (e.g., bronchodilators and decongestants). The ECG shows early P waves with an...
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The normal cardiac rhythm is a synchronized electrical activity that facilitates the regular and coordinated contraction of the heart muscle. This process is essential for efficient blood circulation throughout the body. The fundamental elements involved in establishing and maintaining this rhythm include the unique electrical properties of cardiac muscle cells, the sinoatrial (SA) node's pacemaker function, the specialized conducting system, and the ionic mechanisms underlying each phase...
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Dysrhythmias I: Introduction01:15

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Dysrhythmias refers to abnormalities in the heart's rhythm. They result from disruptions in the heart's electrical conduction system, which includes the sinoatrial(SA)node, atrioventricular(AV) node, the bundle of His, bundle branches, and Purkinje fibers.Definition and PathophysiologyDysrhythmias result from disorders of impulse formation, impulse conduction, or both. The heart contains specialized cells in the sinoatrial node, atrioventricular node, and the bundle of His and Purkinje fibers...
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Electrocardiogram Fundamentals01:28

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Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
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Dysrhythmias V: Evaluating Dysrhythmias01:30

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Dysrhythmias, also known as arrhythmias, are disturbances in the heart's rhythm that range from benign to life-threatening. A thorough evaluation is crucial for appropriate management and involves a comprehensive medical history, physical examination, and various diagnostic tests.Medical HistorySymptoms: Collect detailed information on palpitations, dizziness, syncope, chest pain, and fatigue. Note their onset, frequency, and triggers.Previous Cardiac Issues: Document any history of heart...
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Updated: Sep 20, 2025

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
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Atrioventricular Synchrony Algorithm Modeling of a Leadless Pacemaker Family: A Virtual Patient Analysis.

Miguel A Leal1, Todd Sheldon2, Keelia Escalante2

  • 1Emory University School of Medicine, Atlanta, GA, USA. miguel.a.leal@emory.edu.

Cardiovascular Engineering and Technology
|May 27, 2025
PubMed
Summary
This summary is machine-generated.

Enhanced algorithms in the Micra AV2 leadless pacemaker significantly improve Atrioventricular Synchrony (AVS) and reduce programming time. These advancements offer better pacing at higher heart rates and decrease clinical burden.

Keywords:
AlgorithmAtrioventricular synchronyLeadless pacemakerModelingVirtual patient

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Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Medical Devices

Background:

  • Leadless pacemakers offer an alternative to transvenous pacing systems.
  • Atrioventricular Synchrony (AVS) is crucial for optimal pacemaker function.
  • The Micra leadless pacemaker (Micra AV) is a next-generation device.

Purpose of the Study:

  • To evaluate the impact of new Atrioventricular Synchrony (AVS) algorithms in the Micra AV2 leadless pacemaker.
  • To compare the performance of enhanced AVS algorithms against original algorithms using simulations.
  • To assess the real-world impact on clinical time and programming burden.

Main Methods:

  • Utilized accelerometer data from the AccelAV clinical study to create virtual patients.
  • Conducted Monte Carlo simulations to compare enhanced vs. original AVS algorithms.
  • Performed a real-world survey to quantify time savings from reduced AVS programming.

Main Results:

  • The enhanced Atrial Sensing Setup in Micra AV2 achieved >70% AVS in 90% of patients without manual programming, compared to 43% for original Micra AV.
  • The Micra AV2 Auto+A3 Threshold algorithm showed improved ambulatory AVS (84.1%) in the 80-100 bpm range.
  • Survey data indicated an estimated 13-minute reduction in median device check time per patient due to the enhanced Atrial Sensing Setup.

Conclusions:

  • Simulation results project significant improvements in automatic AVS at high heart rates with Micra AV2.
  • The enhanced algorithms increase the proportion of patients achieving >70% AVS without clinician intervention.
  • Real-world data confirm reduced device check time, indicating lower clinical burden.