Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: May 26, 2026

Impact of Intracardiac Neurons on Cardiac Electrophysiology and Arrhythmogenesis in an Ex Vivo Langendorff System

Impact of Intracardiac Neurons on Cardiac Electrophysiology and Arrhythmogenesis in an Ex Vivo Langendorff System

Published on: May 22, 2018

Acute clinical evaluation of a left ventricular automatic threshold determination algorithm based on evoked response

Gautham Kalahasty¹, Michael Giudici, John Lobban

¹Virginia Commonwealth University, Richmond, VA, USA.

Pacing and Clinical Electrophysiology : PACE

|December 14, 2011

Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Thought leadership in cellular starting material: A review of summary themes from the AABB cellular starting material forums of 2021-2024.

Transfusion·2026

Same author

A Narrow Window in a Wide Complex Rhythm.

Circulation·2026

Same author

Safety and Clinical Outcomes of Pooled Donor, Nonengrafting Expanded Progenitor Cells in Single-Unit Cord Blood Transplantation.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology·2026

Same author

QT Interval Correction in Left Bundle Branch Area Pacing.

JACC. Clinical electrophysiology·2025

Same author

Differentiation latency and dormancy signatures define fetal liver hematopoietic stem cells at single-cell resolution.

Cell reports·2025

Same author

Structured Workflow to Manage Periprocedural Code Status for Patients With Do-Not-Resuscitate Orders.

The American surgeon·2025

The Left Ventricular Automatic Threshold (LVAT) algorithm accurately determines pacing thresholds in cardiac resynchronization therapy (CRT) devices. This automated method simplifies follow-up and enhances device longevity.

Area of Science:

Cardiology
Biomedical Engineering
Electrophysiology

Background:

Automatic pacing threshold (AT) testing aims to simplify device follow-up and extend device longevity.
Current methods for assessing pacing thresholds can be time-consuming.
Evaluating novel algorithms for AT testing is crucial for improving cardiac device management.

Purpose of the Study:

To evaluate the performance of a novel Left Ventricular (LV) evoked response sensing-based AT algorithm.
To assess the accuracy of the LV Automatic Threshold (LVAT) algorithm in cardiac resynchronization therapy (CRT) devices.
To compare LVAT algorithm performance across different pacing vectors and lead configurations.

Main Methods:

Seventy patients undergoing CRT-D/P implantation were enrolled.

More Related Videos

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

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

Published on: December 11, 2017

Related Experiment Videos

Last Updated: May 26, 2026

Impact of Intracardiac Neurons on Cardiac Electrophysiology and Arrhythmogenesis in an Ex Vivo Langendorff System

Impact of Intracardiac Neurons on Cardiac Electrophysiology and Arrhythmogenesis in an Ex Vivo Langendorff System

Published on: May 22, 2018

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

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

Published on: December 11, 2017

A manual step-down threshold test and the LVAT test were performed in four pacing vectors.

Patients were randomized to 0.4-ms or 1.0-ms pulse widths; a blinded electrophysiologist served as the gold standard.

Main Results:

The LVAT algorithm successfully determined a threshold in 89.6% of eligible tests.
The algorithm-determined threshold matched the electrophysiologist-determined threshold in 99.5% of cases.
Capture and non-capture detection accuracy were high (98.5% and 99.7%, respectively).

Conclusions:

The LVAT algorithm demonstrates high accuracy in determining pacing thresholds for CRT-D/P patients.
The algorithm performs reliably across various pacing configurations and LV lead types.
LVAT testing shows potential to streamline device follow-up and improve patient care.