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

Electrocardiogram01:29

Electrocardiogram

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 the T...
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

An electrocardiogram (ECG)graphically represents the heart's electrical activity on ECG paper or a monitor.
Components of the Electrocardiogram
The primary components of a normal ECG waveform in Normal sinus rhythm(NSR) include the P wave, PR interval, QRS complex, ST segment, T wave, and occasionally a U wave.
ECG waveforms are divided by vertical and horizontal lines at standard intervals.
The horizontal axis measures time and rate, and the vertical axis measures amplitude or voltage. When...
Pulse rhythm01:30

Pulse rhythm

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

Holter Monitor: 24-Hour Monitoring

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...
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

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 to...
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

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...

You might also read

Related Articles

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

Sort by
Same author

OralDB: A Transcriptomic Resource for Mechanistic Exploration in Oral Diseases.

Journal of dental research·2026
Same author

Whole-genome sequencing analysis in fetal structural anomalies: novel phenotype-genotype discoveries.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology·2023
Same author

C1q/TNF-related protein-9 suppresses inflammation in synovial cells from patients with osteoarthritis.

Scandinavian journal of rheumatology·2021
Same author

Erratum to 'Macrophage Depletion Improves Chronic Rejection in Rats With Allograft Heart Transplantation' [Trans Proc 52 (2020) 992-1000].

Transplantation proceedings·2020
Same author

Macrophage Depletion Improves Chronic Rejection in Rats With Allograft Heart Transplantation.

Transplantation proceedings·2020
Same author

[Clinical observation of standard IA regimen as induction chemotherapy in 242 patients with newly diagnosed acute myeloid leukemia].

Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi·2018

Related Experiment Video

Updated: May 25, 2026

Real-Time Electrocardiogram Monitoring During Treadmill Training in Mice
04:45

Real-Time Electrocardiogram Monitoring During Treadmill Training in Mice

Published on: May 5, 2022

A computationally efficient QRS detection algorithm for wearable ECG sensors.

Y Wang1, C J Deepu, Y Lian

  • 1National University of Singapore. yichao@ nus.edu.sg

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
Summary

A new Dual-Slope algorithm accurately detects the QRS complex in electrocardiogram (ECG) signals, ideal for wearable devices. This method achieves high detection rates, improving arrhythmia monitoring.

More Related Videos

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
06:07

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
05:03

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

Published on: December 11, 2019

Related Experiment Videos

Last Updated: May 25, 2026

Real-Time Electrocardiogram Monitoring During Treadmill Training in Mice
04:45

Real-Time Electrocardiogram Monitoring During Treadmill Training in Mice

Published on: May 5, 2022

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
06:07

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
05:03

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

Published on: December 11, 2019

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Cardiology

Background:

  • Wearable electrocardiogram (ECG) devices require efficient algorithms for real-time analysis.
  • Accurate detection of the QRS complex is crucial for diagnosing cardiac arrhythmias.

Purpose of the Study:

  • To introduce a novel Dual-Slope QRS detection algorithm.
  • To ensure the algorithm is computationally efficient for integration into wearable ECG devices.

Main Methods:

  • The Dual-Slope algorithm calculates signal slopes on either side of a peak.
  • Three criteria (steepness, shape, height) are used to identify the QRS complex.
  • Algorithm performance was validated using the MIT/BIH Arrhythmia Database.

Main Results:

  • The algorithm achieved a 99.45% overall detection rate.
  • Sensitivity reached 99.82%, and positive prediction was 99.63%.
  • The algorithm demonstrated high accuracy and suitability for wearable applications.

Conclusions:

  • The Dual-Slope algorithm offers a computationally efficient and highly accurate method for QRS complex detection.
  • This algorithm is well-suited for real-time analysis in wearable ECG devices.
  • The findings support improved arrhythmia monitoring through advanced signal processing.