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

Chromatographic Methods: Classification01:12

Chromatographic Methods: Classification

3.7K
Chromatographic techniques are classified in three ways: the classification is based on the physical state of the stationary and mobile phases, how the mobile phase and the stationary phase contact each other, or through the chemical or physical processes that isolate the components of the sample. Typically, the mobile phase is either a liquid or gas, while the stationary phase is either a solid or a liquid layer applied to a solid surface.
Chromatographic techniques are typically named by...
3.7K
Methods of Classification and Identification01:28

Methods of Classification and Identification

1.1K
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
1.1K
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

223
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
223
Muscle Contraction01:15

Muscle Contraction

96.0K
 
96.0K
Muscle Contraction01:10

Muscle Contraction

8.8K
In skeletal muscles, acetylcholine is released by nerve terminals at the motor endplate—the point of synaptic communication between motor neurons and muscle fibers. The binding of acetylcholine to its receptors on the sarcolemma allows entry of sodium ions into the cell and triggers an action potential in the muscle cell. Thus, electrical signals from the brain are transmitted to the muscle. Subsequently, the enzyme acetylcholinesterase breaks down acetylcholine to prevent excessive...
8.8K
Classification of Skeletal Muscle Fibers01:48

Classification of Skeletal Muscle Fibers

59.4K
Skeletal muscles continuously produce ATP to provide the energy that enables muscle contractions. Skeletal muscle fibers can be categorized into three types based on differences in their contraction speed and how they produce ATP, as well as physical differences related to these factors. Most human muscles contain all three muscle fiber types, albeit in varying proportions.
Slow-Twitch Muscle Fibers
Slow oxidative, muscle fibers appear red due to large numbers of capillaries and high levels of...
59.4K

You might also read

Related Articles

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

Sort by
Same author

Optimal Electrohysterography Signal Preprocessing for Delivery Term Prediction Using Hypergraph Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Risk of Bias Assessment of Diagnostic Accuracy Studies Using QUADAS 2 by Large Language Models.

Diagnostics (Basel, Switzerland)·2025
Same author

First experience in employing a complex digital support system accompanied by personal assistance to improve aftercare in patients with stroke or transient ischemic attack - results of the PostStroke-Manager feasibility study.

Scientific reports·2025
Same author

Cross Dataset Analysis for Generalizability of HRV-Based Stress Detection Models.

Sensors (Basel, Switzerland)·2023
Same author

Stress Detection from Surface Electromyography using Convolutional Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2022
Same author

Comparison of Stress Detection through ECG and PPG signals using a Random Forest-based Algorithm.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2022

Related Experiment Video

Updated: Jan 21, 2026

Author Spotlight: Advancing Labor Management Through Electromyometrial Imaging for Understanding Uterine Contractions
08:07

Author Spotlight: Advancing Labor Management Through Electromyometrial Imaging for Understanding Uterine Contractions

Published on: May 26, 2023

1.8K

An Automatic Method for the Segmentation and Classification of Imminent Labor Contraction From Electrohysterograms.

Jean-Baptiste Tylcz, Charles Muszynski, Josephine Dauchet

    IEEE Transactions on Bio-Medical Engineering
    |July 29, 2019
    PubMed
    Summary

    Electrohysterography (EHG) shows promise for accurately diagnosing preterm labor. This non-invasive method can improve early detection, leading to better care for at-risk pregnancies.

    More Related Videos

    Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
    11:38

    Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

    Published on: August 23, 2017

    10.2K
    Author Spotlight: High-Resolution 4D Light-Sheet Imaging and Virtual Reality in Zebrafish for Single-Cell Analysis of Heart Function
    07:07

    Author Spotlight: High-Resolution 4D Light-Sheet Imaging and Virtual Reality in Zebrafish for Single-Cell Analysis of Heart Function

    Published on: January 5, 2024

    1.8K

    Related Experiment Videos

    Last Updated: Jan 21, 2026

    Author Spotlight: Advancing Labor Management Through Electromyometrial Imaging for Understanding Uterine Contractions
    08:07

    Author Spotlight: Advancing Labor Management Through Electromyometrial Imaging for Understanding Uterine Contractions

    Published on: May 26, 2023

    1.8K
    Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
    11:38

    Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

    Published on: August 23, 2017

    10.2K
    Author Spotlight: High-Resolution 4D Light-Sheet Imaging and Virtual Reality in Zebrafish for Single-Cell Analysis of Heart Function
    07:07

    Author Spotlight: High-Resolution 4D Light-Sheet Imaging and Virtual Reality in Zebrafish for Single-Cell Analysis of Heart Function

    Published on: January 5, 2024

    1.8K

    Area of Science:

    • Obstetrics and Gynecology
    • Biomedical Engineering
    • Perinatal Medicine

    Background:

    • Preterm birth is a leading cause of perinatal morbidity and mortality, with current diagnostic methods lacking specificity.
    • Despite clinical advancements, the preterm birth rate remains high, and early diagnosis is challenging.

    Purpose of the Study:

    • To develop and validate an electrohysterogram (EHG) processing technique for classifying pregnant women at risk of preterm delivery.
    • To enhance the sensitivity and specificity of early preterm labor diagnosis using non-invasive EHG recordings.

    Main Methods:

    • Utilized non-linear correlation analysis for extracting uterine contraction bursts from EHG signals.
    • Employed Gaussian mixture models for classifying patients based on computed EHG features.
    • Tested the method on a dataset of 68 EHG recordings from women hospitalized for preterm delivery threat.

    Main Results:

    • Achieved automatic segmentation of contractions with high performance.
    • Reported classification sensitivity, specificity, and accuracy of 80.7%, 76.3%, and 76.2%, respectively.
    • Demonstrated promising results comparable to gold standards but with a non-invasive approach.

    Conclusions:

    • EHG recordings can reliably diagnose imminent labor, offering a non-invasive alternative to current methods.
    • This technology has the potential to reduce over-medication and improve care for high-risk pregnancies.
    • The non-invasive and home-monitoring potential of EHG can significantly benefit perinatal care.