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Related Concept Videos

Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

866
Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
An ECG utilizes electrodes on the skin...
866
Instrumentation Amplifier01:25

Instrumentation Amplifier

688
An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
To overcome this challenge, an ECG machine utilizes an instrumentation amplifier. This specialized amplifier is...
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Electrocardiogram01:29

Electrocardiogram

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An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
3.2K
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

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The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
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Related Experiment Video

Updated: Sep 6, 2025

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

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RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac

Yongan Zhang1, Anton Banta1, Yonggan Fu1

  • 1Rice University, USA.

ACM Journal on Emerging Technologies in Computing Systems
|June 29, 2022
PubMed
Summary
This summary is machine-generated.

A new framework, RT-RCG, reconstructs high-quality electrocardiogram (ECG) signals from intracardiac electrogram (EGM) data in real-time. This advances remote diagnosis and intervention for irregular heart rhythms.

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Area of Science:

  • Biomedical Engineering
  • Artificial Intelligence in Medicine
  • Signal Processing

Background:

  • Pacemaker intracardiac electrograms (EGM) differ from diagnostic 12-lead electrocardiograms (ECG).
  • This signal gap limits remote diagnosis and timely intervention for abnormal heart rhythms.
  • Current remote monitoring systems lack the precision for critical, real-time decision-making.

Purpose of the Study:

  • To develop a framework for real-time, high-quality ECG reconstruction from EGM signals.
  • To enable precise and timely diagnosis of irregular ventricular rhythms using pacemaker data.
  • To bridge the gap between EGM signals and diagnostic ECG for improved patient care.

Main Methods:

  • Proposed RT-RCG framework utilizing neural architecture search (NAS).
  • Developed a novel DNN search space optimized for ECG reconstruction from EGM.
  • Integrated a differentiable acceleration search (DAS) engine for efficient accelerator design.

Main Results:

  • RT-RCG demonstrated effectiveness in reconstructing high-quality ECG signals from EGM data.
  • The framework successfully enabled real-time processing capabilities.
  • Ablation studies confirmed the robustness and efficacy of the proposed methods across various settings.

Conclusions:

  • RT-RCG is the first approach to use NAS for simultaneous optimization of ECG reconstruction and efficiency.
  • The framework facilitates real-time critical interventions for irregular ventricular rhythms.
  • This work significantly advances remote cardiac monitoring and diagnostic capabilities.