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

8.3K
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...
8.3K
Exercise Stress Test01:26

Exercise Stress Test

2.0K
Introduction
Exercise stress testing, commonly known as a treadmill test, is a noninvasive procedure used to evaluate cardiovascular function and diagnose heart conditions.
Definition
An exercise stress test measures the heart's response to exertion using a treadmill or stationary bicycle. Chest electrodes record the heart's electrical activity through an ECG, and blood pressure is monitored regularly.
Purposes
2.0K
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

19.2K
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....
19.2K
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

15.4K
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...
15.4K
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

478
Dysrhythmias, also known as arrhythmias, are disturbances in the heart's rhythm that range from benign to life-threatening. A thorough evaluation is crucial for appropriate management and involves a comprehensive medical history, physical examination, and various diagnostic tests.Medical HistorySymptoms: Collect detailed information on palpitations, dizziness, syncope, chest pain, and fatigue. Note their onset, frequency, and triggers.Previous Cardiac Issues: Document any history of heart...
478
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

2.0K
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...
2.0K

You might also read

Related Articles

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

Sort by
Same author

Early diagnosis of Parkinson's disease using split aptamer-based lateral flow assay with saliva sample.

Mikrochimica acta·2025
Same author

A randomized controlled trial of group psychological intervention combined with medication for treating adolescent depression.

Frontiers in psychology·2025
Same author

Synthesis of 1<i>H</i>-isothiochromenes by regioselective C-C and C-S bond formation of enaminothiones with alkynes under rhodium catalysis.

Chemical communications (Cambridge, England)·2025
Same author

Rhodium-catalyzed C-H activation and three-component tandem annulation leading to isoquinolones.

Organic & biomolecular chemistry·2025
Same author

Machine learning-based non-invasive continuous dynamic monitoring of human core temperature with wearable dual temperature sensors.

Physiological measurement·2025
Same author

Assisting significance of lncRNA ASB16-AS1 in the early detection and prognosis prediction of patients with deep venous thrombosis.

BMC cardiovascular disorders·2025
Same journal

[Advances in research on neuroelectrophysiological characteristics of post-stroke cognitive impairment based on quantitative electroencephalography and acupuncture interventions].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Mechanisms and applications of magnesium ion-regulated stem cell functions in promoting tendon-bone interface healing].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Applications and challenges of ultra-high molecular weight polyethylene fibers in minimally invasive medical devices].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Research on auditory neurofeedback technology and its multi-disciplinary applications].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Application and perspective of novel auditory intervention paradigms based on verbal and nonverbal stimuli for severe traumatic brain injury].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Research progress on the neuromodulation targets in stroke rehabilitation].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
See all related articles

Related Experiment Video

Updated: Apr 6, 2026

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
07:08

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

Published on: December 5, 2025

1.1K

[Exercise-sensitive Indices Screening from Electrocardiogram Based on Rest-workload Alternating Pattern].

Yanjun Li, Xinming Yu, Yongcai Hu

    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
    |July 28, 2015
    PubMed
    Summary
    This summary is machine-generated.

    Monitoring exercise intensity requires more than just heart rate. This study found that electrocardiogram (ECG) waveform similarity and heart rate variability (HRV) indices, alongside RR interval, offer a more comprehensive evaluation of exercise load.

    More Related Videos

    Evaluation of Hydration Status by Bioelectrical Impedance Vector Analysis in Patients with Ischemic Heart Disease Undergoing Exercise Stress Test
    10:21

    Evaluation of Hydration Status by Bioelectrical Impedance Vector Analysis in Patients with Ischemic Heart Disease Undergoing Exercise Stress Test

    Published on: September 22, 2023

    1.1K
    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

    3.2K

    Related Experiment Videos

    Last Updated: Apr 6, 2026

    Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
    07:08

    Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

    Published on: December 5, 2025

    1.1K
    Evaluation of Hydration Status by Bioelectrical Impedance Vector Analysis in Patients with Ischemic Heart Disease Undergoing Exercise Stress Test
    10:21

    Evaluation of Hydration Status by Bioelectrical Impedance Vector Analysis in Patients with Ischemic Heart Disease Undergoing Exercise Stress Test

    Published on: September 22, 2023

    1.1K
    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

    3.2K

    Area of Science:

    • Cardiovascular Physiology
    • Exercise Science
    • Biomedical Engineering

    Background:

    • Heart rate is a common but limited index for monitoring physical stress during exercise.
    • It only reflects cardiac rhythm, not the full cardiovascular response to physical exertion.
    • A dynamic, multi-index approach is needed for accurate exercise load assessment.

    Purpose of the Study:

    • To identify sensitive electrocardiogram (ECG) indices for evaluating exercise load.
    • To compare the effectiveness of various ECG-derived metrics beyond simple heart rate.

    Main Methods:

    • Utilized a rest-workload alternating protocol.
    • Analyzed electrocardiogram (ECG) rhythm and waveform data.
    • Screened heart rate variability (HRV) time and frequency domain indices, waveform similarity, and high-frequency noise.

    Main Results:

    • RR interval (heart rate) showed a strong linear correlation with exercise load intensity, confirming its reliability for real-time monitoring.
    • ECG waveform similarity indices proved useful for exercise load evaluation.
    • Heart rate variability (HRV) indices also demonstrated utility in assessing exercise load.

    Conclusions:

    • While RR interval is reliable for real-time intensity monitoring, ECG waveform similarity and HRV indices provide valuable complementary data for comprehensive exercise load evaluation.
    • A combination of these indices offers a more robust assessment of the body's response to exercise.