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Related Experiment Video

Updated: Jun 10, 2026

A New Single Chamber Implantable Defibrillator with Atrial Sensing: A Practical Demonstration of Sensing and Ease of Implantation

A New Single Chamber Implantable Defibrillator with Atrial Sensing: A Practical Demonstration of Sensing and Ease of Implantation

Published on: February 28, 2012

Improving contemporary algorithms for implantable cardioverter-defibrillator function.

Shibaji Shome¹, Dan Li, Julie Thompson

¹Research and Technology, Boston Scientific Corporation, St. Paul, MN 55112, USA. shibaji.shome@bsci.com

Journal of Electrocardiology

|August 20, 2010

Summary

This summary is machine-generated.

Implantable cardioverter-defibrillators (ICDs) reduce sudden cardiac death by detecting and treating dangerous heart rhythms. The Rhythm ID feature enhances accuracy by discriminating between ventricular and supraventricular tachycardia, minimizing inappropriate shocks.

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A New Single Chamber Implantable Defibrillator with Atrial Sensing: A Practical Demonstration of Sensing and Ease of Implantation

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Area of Science:

Cardiology
Biomedical Engineering

Background:

Implantable cardioverter-defibrillators (ICDs) are crucial for preventing mortality from sudden cardiac death.
Modern ICDs employ advanced algorithms for rhythm detection and discrimination to reduce inappropriate shocks.

Purpose of the Study:

To detail the decision-making process of the Rhythm ID feature in Boston Scientific ICDs.
To explain the algorithm for updating the normal sinus rhythm template used in rhythm discrimination.

Main Methods:

The Rhythm ID feature utilizes a vector timing and correlation algorithm, incorporating timing and morphology for supraventricular tachycardia discrimination.
It compares detected rhythms beat-by-beat against a stored normal sinus rhythm template using a feature correlation coefficient.

Main Results:

Clinical trials have demonstrated high sensitivity and specificity for the Rhythm ID feature in distinguishing between ventricular tachycardia and supraventricular tachycardia.
The algorithm's performance is influenced by the ICD mode (VR or DR) and the nature of the detected rhythm (initial or postshock).

Conclusions:

The Rhythm ID feature represents a sophisticated approach to rhythm discrimination in ICDs.
Accurate discrimination is essential for effective therapy delivery and minimizing patient harm from inappropriate shocks.