Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Instrumentation Amplifier01:25

Instrumentation Amplifier

683
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...
683
Electrocardiogram01:29

Electrocardiogram

3.2K
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
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

858
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...
858
Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

224
Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...
224
Pulse rhythm01:30

Pulse rhythm

914
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
914
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

8.1K
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...
8.1K

You might also read

Related Articles

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

Sort by
Same author

F3'H-mediated seed coat and hilum development determine plant seed storability.

Journal of integrative plant biology·2026
Same author

Impact of job resources on organizational citizenship behavior among primary care staff in Guangzhou, China: a cross-sectional study.

Frontiers in public health·2025
Same author

Single-cell transcriptome atlas reveals somatic cell embryogenic differentiation features during regeneration.

Plant physiology·2024
Same author

Optimized Solutions of Electrocardiogram Lead and Segment Selection for Cardiovascular Disease Diagnostics.

Bioengineering (Basel, Switzerland)·2023
Same author

A Multi-Classification Hybrid Quantum Neural Network Using an All-Qubit Multi-Observable Measurement Strategy.

Entropy (Basel, Switzerland)·2022
Same author

Genome-Wide <i>cis</i>-Regulatory Element Based Discovery of Auxin-Responsive Genes in Higher Plant.

Genes·2022

Related Experiment Video

Updated: Sep 3, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

11.7K

New ECG Compression Method for Portable ECG Monitoring System Merged with Binary Convolutional Auto-Encoder and

Jiguang Shi1, Fei Wang1, Moran Qin1

  • 1School of Physics and Technology, Wuhan University, Wuhan 430072, China.

Biosensors
|July 27, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel quality-guaranteed electrocardiogram (ECG) compression method using a binary convolutional auto-encoder with residual error compensation. The method achieves high compression ratios while preserving signal quality for improved ECG monitoring.

Keywords:
binary convolutional auto-encoder (BCAE)electrocardiogram (ECG)portable ECG monitoring systemresidual error compensation (REC)signal compression

More Related Videos

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

891
A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

2.5K

Related Experiment Videos

Last Updated: Sep 3, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

11.7K
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

891
A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

2.5K

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Artificial Intelligence

Background:

  • Deep learning ECG compression methods often cause information loss due to reduced hidden nodes.
  • This information loss leads to poor reconstructed signal quality, hindering clinical application.

Purpose of the Study:

  • To propose a novel, quality-guaranteed ECG compression method using a binary convolutional auto-encoder (BCAE) with residual error compensation (REC).
  • To improve the quality of reconstructed ECG signals while maintaining high compression ratios.

Main Methods:

  • Developed a Binary Convolutional Auto-Encoder (BCAE) that compresses ECG signals into binary codes, unlike traditional floating-point methods.
  • Implemented a novel Residual Error Compensation (REC) technique to minimize the difference between the original and reconstructed ECG signals.
  • Increased hidden nodes in BCAE without compromising compression ratio to enhance signal reconstruction quality.

Main Results:

  • Achieved a compression ratio of 117.33 with a root mean square difference (PRD) of 7.76% on the MIT-BIH database.
  • Demonstrated that BCAE with REC significantly improves the restoration of compressed ECG signals.
  • Successfully designed a portable compression device using Raspberry Pi, showcasing practical applicability.

Conclusions:

  • The proposed BCAE with REC method offers high-ratio ECG compression with guaranteed signal quality.
  • This technique presents a promising solution for telemedicine and portable ECG monitoring systems.
  • The algorithm's efficiency and effectiveness are validated by experimental results and a functional prototype.