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Related Concept Videos

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...
Brain Waves01:23

Brain Waves

Brain waves are electrical signals generated by the neurons in the brain, which are regularly monitored to measure mental activities. Brain waves and their frequency ranges can be measured using an electroencephalogram or EEG. There are four main types of brain waves, each with distinct characteristics:
Dysrhythmias III: Characteristics of Dysrhythmias01:29

Dysrhythmias III: Characteristics of Dysrhythmias

Dysrhythmias, also known as arrhythmias, are irregular heart rhythms that result from abnormal electrical activity in the heart, affecting its ability to circulate blood efficiently. Tachyarrhythmias, a subset of dysrhythmias, are characterized by abnormally fast heart rates exceeding 100 beats per minute. Here are some types of tachyarrhythmias with their distinct ECG features:Sinus Tachycardia:Sinus tachycardia presents a regular heart rhythm with an increased rate of 101-180 beats per minute.
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...
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...
Heart Sounds01:15

Heart Sounds

Heart sounds are generated by the turbulence in blood flow due to the closing of heart valves. These sounds are best perceived slightly away from the valves, where the blood flow disseminates the sound.
Auscultation is the process of listening to these internal body sounds using a stethoscope. The heart produces four types of sounds, but only two—S1 and S2—can usually be heard with a stethoscope.
S1, also known as the "lub" sound, is caused by the closure of atrioventricular (A-V) valves at the...

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Related Experiment Video

Updated: May 27, 2026

Multi-system Monitoring for Identification of Seizures, Arrhythmias and Apnea in Conscious Restrained Rabbits
10:25

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[F-waves].

F C Wang1, N Massart, J-F Kaux

  • 1Service de médecine physique et de l'appareil locomoteur, CHU Sart Tilman, B35, 4000 Liège, Belgique. fc.wang@chu.ulg.ac.be

Revue Neurologique
|November 22, 2011
PubMed
Summary
This summary is machine-generated.

F-wave latency analysis is a sensitive electroneuromyography technique. It aids in diagnosing peripheral nervous system disorders like Guillain-Barré syndrome by detecting proximal conduction blocks.

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Laser-Induced Action Potential-Like Measurements of Cardiomyocytes on Microelectrode Arrays for Increased Predictivity of Safety Pharmacology
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Area of Science:

  • Neurophysiology
  • Electromyography

Context:

  • F-waves are indirect, late muscle responses elicited by antidromic activation of motoneurons.
  • F-wave latency is a sensitive electrophysiological parameter in electroneuromyography.
  • This technique assesses the entire peripheral nervous system, including proximal segments often missed by nerve conduction velocity studies.

Purpose:

  • To highlight the diagnostic utility of F-wave minimal latency in electroneuromyography.
  • To emphasize the F-wave's role in evaluating proximal nerve conduction.
  • To underscore its significance in diagnosing conditions like plexopathies, polyradiculoneuritis, and Guillain-Barré syndrome.

Summary:

  • F-waves are generated by motoneuron discharge after antidromic activation, appearing as late muscle responses.
  • Minimal F-wave latency, especially when compared to contralateral or previous studies, is a highly sensitive electroneuromyography parameter.
  • F-wave analysis is crucial for assessing proximal peripheral nerve function and identifying conduction blocks, particularly in early Guillain-Barré syndrome.

Impact:

  • F-wave studies provide valuable insights into proximal peripheral nerve function, complementing traditional nerve conduction studies.
  • The absence of F-waves can be a unique early indicator of proximal conduction blocks in conditions like Guillain-Barré syndrome.
  • This electrophysiological method enhances the diagnostic accuracy for various neuropathies affecting the peripheral nervous system.