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Related Concept Videos

Average Velocity01:12

Average Velocity

To calculate the other physical quantities in kinematics, we must introduce the time variable. The time variable allows us not only to state the position of the object during its motion, but also how fast it is moving. The speed at which an object is moving is given by the rate at which the position changes with time. For each position xi, we assign a particular time ti. If the details of the motion at each instant are not important, the rate is usually expressed as the average velocity. This...
Average and Instantaneous Velocity Vectors01:12

Average and Instantaneous Velocity Vectors

To calculate other physical quantities in kinematics, the time variable must be introduced. The time variable not only allows us to state where an object is (its position) during its motion, but also how fast it’s moving. The speed at which an object is moving is given by the rate at which the position changes with time. For each position, a particular time is assigned. If the details of the motion at each instant are not important, the rate is usually expressed as the average velocity v. This...
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
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On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
Relative Motion Analysis - Velocity01:24

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A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
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Relative Motion Analysis - Acceleration01:10

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A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...

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Updated: Jun 24, 2026

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Aveir VR real-world performance and chronic pacing threshold prediction using mapping and fixation electrical data.

Mark T K Tam1, Yuet-Wong Cheng2, Joseph Y S Chan3

  • 1Division of Cardiology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, NT, Hong Kong.

Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology
|March 8, 2024
PubMed
Summary

The Aveir VR lead showed good performance in elderly patients, with pacing thresholds improving over time. High intraoperative impedance and low initial pacing thresholds predict better long-term outcomes.

Keywords:
AveirLeadless pacemakerMicraPacing thresholdReal-world data

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Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Medical Devices

Background:

  • The Aveir VR lead is a novel leadless pacemaker system.
  • Understanding its performance and predictors of pacing threshold is crucial for clinical adoption.

Purpose of the Study:

  • To investigate the real-world performance of the Aveir VR lead.
  • To identify predictors for the pacing threshold (PCT) at 3 months post-implantation.

Main Methods:

  • Prospective collection of electrical measurements during Aveir VR implantation.
  • Analysis of predictors for 3-month PCT.
  • Comparison with a retrospective Micra leadless pacemaker cohort.

Main Results:

  • High success rate (99.2%) for Aveir VR implantation in a high-risk, elderly cohort.
  • Aveir VR pacing thresholds improved significantly by 3 months, similar to Micra.
  • High intraoperative impedance (>470 ohms) predicted excellent 3-month PCT with 88% sensitivity.

Conclusions:

  • Aveir VR demonstrates satisfactory performance and safety in a real-world, high-risk population.
  • Pacing thresholds improve post-implantation, with Aveir showing greater improvement than Micra.
  • Low initial pacing thresholds and high intraoperative impedance are key predictors of chronic low pacing thresholds.