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

You might also read

Related Articles

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

Sort by
Same author

Repeatability of artificial gravity tolerance times.

Frontiers in physiology·2025
Same author

Correction to: Deep Learning Glioma Grading with the Tumor Microenvironment Analysis Protocol for Comprehensive Learning, Discovering, and Quantifying Microenvironmental Features.

Journal of imaging informatics in medicine·2024
Same author

Deep Learning Glioma Grading with the Tumor Microenvironment Analysis Protocol for Comprehensive Learning, Discovering, and Quantifying Microenvironmental Features.

Journal of imaging informatics in medicine·2024
Same author

To wait or not to wait: Weighing the pros and cons of early identification of safety concerns for medications used in pregnancy.

Pharmacoepidemiology and drug safety·2023
Same author

Microglial diversity along the hippocampal longitudinal axis impacts synaptic plasticity in adult male mice under homeostatic conditions.

Journal of neuroinflammation·2022
Same author

Adiponectin affects uterine steroidogenesis during early pregnancy and the oestrous cycle: An in vitro study.

Animal reproduction science·2022

Related Experiment Video

Updated: May 7, 2026

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation
09:05

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation

Published on: October 20, 2016

19.3K

A new seismocardiography segmentation algorithm for diastolic timed vibrations.

F Khosrow-khavar, K Tavakolian, M Soleimani-Nouri

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 11, 2013
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an efficient algorithm combining electrocardiography (ECG) and seismocardiography (SCG) to accurately detect diastolic timed vibrations (DTV). The new method precisely identifies key cardiac events, improving diagnostic capabilities.

    More Related Videos

    Displacement Analysis of Myocardial Mechanical Deformation DIAMOND Reveals Segmental Heterogeneity of Cardiac Function in Embryonic Zebrafish
    09:15

    Displacement Analysis of Myocardial Mechanical Deformation DIAMOND Reveals Segmental Heterogeneity of Cardiac Function in Embryonic Zebrafish

    Published on: February 6, 2020

    4.7K
    Ultrasonic Assessment of Myocardial Microstructure
    10:53

    Ultrasonic Assessment of Myocardial Microstructure

    Published on: January 14, 2014

    5.1K

    Related Experiment Videos

    Last Updated: May 7, 2026

    Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation
    09:05

    Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation

    Published on: October 20, 2016

    19.3K
    Displacement Analysis of Myocardial Mechanical Deformation DIAMOND Reveals Segmental Heterogeneity of Cardiac Function in Embryonic Zebrafish
    09:15

    Displacement Analysis of Myocardial Mechanical Deformation DIAMOND Reveals Segmental Heterogeneity of Cardiac Function in Embryonic Zebrafish

    Published on: February 6, 2020

    4.7K
    Ultrasonic Assessment of Myocardial Microstructure
    10:53

    Ultrasonic Assessment of Myocardial Microstructure

    Published on: January 14, 2014

    5.1K

    Area of Science:

    • Biomedical Engineering
    • Cardiovascular Physiology
    • Signal Processing

    Background:

    • Diastolic timed vibrations (DTV) analysis is crucial for assessing cardiac function.
    • Previous methods for DTV analysis often rely solely on electrocardiography (ECG), limiting accuracy.
    • Integrating seismocardiography (SCG) offers a novel approach to enhance DTV detection.

    Purpose of the Study:

    • To develop and validate a novel algorithm for detecting diastolic timed vibrations (DTV).
    • To improve the efficiency and accuracy of identifying key diastolic events using combined ECG and SCG signals.
    • To establish a new reference point for DTV analysis using the ECG-R wave.

    Main Methods:

    • An algorithm was developed combining electrocardiography (ECG) and seismocardiography (SCG) signals.
    • The algorithm utilizes the ECG-R wave as a primary reference point.
    • It detects aortic valve closure (AC) and mitral valve closure (MC) points within the SCG signal.

    Main Results:

    • The proposed algorithm demonstrated high efficiency compared to previous ECG-only methods.
    • Achieved a 95% prediction rate for detecting seismocardiography-mitral valve closure (SCG-MC).
    • Achieved an 88% prediction rate for detecting seismocardiography-aortic valve closure (SCG-AC).

    Conclusions:

    • The combined ECG-SCG algorithm provides an efficient and accurate method for DTV analysis.
    • This approach enhances the detection of critical diastolic events, particularly SCG-MC and SCG-AC.
    • The algorithm holds promise for improved non-invasive cardiac function assessment.