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Related Concept Videos

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

867
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...
867
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

3.7K
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....
3.7K
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

8.3K
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...
8.3K
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

117
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...
117
Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

3.9K
The heart rate, or pulse rate, is a vital indicator of cardiovascular health. It reflects the number of times the heart beats per minute. Various physiological and environmental factors influence heart rate, increasing or decreasing cardiac output. Understanding these factors is crucial for assessing heart function and identifying potential health issues.
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
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Related Experiment Video

Updated: Sep 8, 2025

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

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Heart age estimated using explainable advanced electrocardiography.

Thomas Lindow1,2,3, Israel Palencia-Lamela1,4, Todd T Schlegel5,6

  • 1Kolling Institute, Royal North Shore Hospital, University of Sydney, Sydney, Australia.

Scientific Reports
|June 14, 2022
PubMed
Summary
This summary is machine-generated.

A 10-second electrocardiogram (ECG) accurately estimates cardiovascular risk, comparable to longer ECGs. This Heart Age Gap widens significantly with increased cardiovascular risk and disease.

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Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
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Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Artificial Intelligence in Medicine

Background:

  • Cardiovascular risk assessment often relies on complex methods.
  • Electrocardiogram (ECG) Heart Age is a known cardiovascular risk indicator.
  • Previous estimations used Bayesian and artificial intelligence (AI) approaches.

Purpose of the Study:

  • To determine if explainable measures from a 10-second 12-lead ECG can predict Bayesian 5-minute ECG Heart Age.
  • To analyze the Heart Age Gap using standard ECG measures.
  • To validate a transparent and explainable method for cardiovascular risk estimation.

Main Methods:

  • Regression models were used to predict 5-minute ECG Heart Age from 10-second ECGs.
  • Analysis included ECGs from healthy subjects, those with cardiovascular risk factors, and patients with cardiovascular disease.
  • The Heart Age Gap was calculated as the difference between 10-second ECG Heart Age and chronological age.

Main Results:

  • 10-second ECG Heart Age showed strong agreement with 5-minute ECG Heart Age (R² = 0.94).
  • The Heart Age Gap was minimal in healthy individuals (0.0 ± 5.7 years).
  • The Heart Age Gap significantly increased in subjects with cardiovascular risk factors (7.4 ± 7.3 years) and cardiovascular disease (14.3 ± 9.2 years).

Conclusions:

  • Cardiovascular risk can be accurately estimated from a 10-second 12-lead ECG using explainable measures.
  • This method does not require complex deep neural network AI techniques.
  • The Heart Age Gap is a sensitive marker for cardiovascular risk and disease progression.