Jove
Visualize
Contact Us

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

An Interactive 3D Virtual Anatomy Puzzle for Learning and Simulation - Initial Demonstration and Evaluation.

Studies in health technology and informaticsยท2016
See all related articles
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 Experiment Video

Updated: Mar 6, 2026

Electrophysiological Analysis of human Pluripotent Stem Cell-derived Cardiomyocytes hPSC-CMs Using Multi-electrode Arrays MEAs
11:13

Electrophysiological Analysis of human Pluripotent Stem Cell-derived Cardiomyocytes hPSC-CMs Using Multi-electrode Arrays MEAs

Published on: May 12, 2017

21.0K

Development of MATLAB software to control data acquisition from a multichannel systems multi-electrode array.

Erik Messier

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 9, 2017
    PubMed
    Summary
    This summary is machine-generated.

    Researchers developed custom MATLAB software to improve sudden cardiac death (SCD) research. This software enhances real-time analysis of electrograms (EGM) from rabbit heart systems, overcoming limitations of existing data acquisition methods.

    More Related Videos

    Interfacing Microfluidics with Microelectrode Arrays for Studying Neuronal Communication and Axonal Signal Propagation
    11:27

    Interfacing Microfluidics with Microelectrode Arrays for Studying Neuronal Communication and Axonal Signal Propagation

    Published on: December 8, 2018

    8.6K
    Author Spotlight: Advancing Genetic Epilepsy Studies with Multi-Electrode Array-Based Long-Term Electrophysiological Monitoring of Human Brain Assembloids
    06:30

    Author Spotlight: Advancing Genetic Epilepsy Studies with Multi-Electrode Array-Based Long-Term Electrophysiological Monitoring of Human Brain Assembloids

    Published on: September 27, 2024

    2.2K

    Related Experiment Videos

    Last Updated: Mar 6, 2026

    Electrophysiological Analysis of human Pluripotent Stem Cell-derived Cardiomyocytes hPSC-CMs Using Multi-electrode Arrays MEAs
    11:13

    Electrophysiological Analysis of human Pluripotent Stem Cell-derived Cardiomyocytes hPSC-CMs Using Multi-electrode Arrays MEAs

    Published on: May 12, 2017

    21.0K
    Interfacing Microfluidics with Microelectrode Arrays for Studying Neuronal Communication and Axonal Signal Propagation
    11:27

    Interfacing Microfluidics with Microelectrode Arrays for Studying Neuronal Communication and Axonal Signal Propagation

    Published on: December 8, 2018

    8.6K
    Author Spotlight: Advancing Genetic Epilepsy Studies with Multi-Electrode Array-Based Long-Term Electrophysiological Monitoring of Human Brain Assembloids
    06:30

    Author Spotlight: Advancing Genetic Epilepsy Studies with Multi-Electrode Array-Based Long-Term Electrophysiological Monitoring of Human Brain Assembloids

    Published on: September 27, 2024

    2.2K

    Area of Science:

    • Cardiovascular Research
    • Biomedical Engineering
    • Computational Biology

    Background:

    • Multichannel Systems (MCS) microelectrode arrays are used for electrogram (EGM) data acquisition in sudden cardiac death (SCD) studies.
    • Existing MCS software has limited utility with MATLAB, hindering real-time analysis due to large file formats (MCD, text).

    Purpose of the Study:

    • To develop customized MATLAB software for controlling MCS data acquisition units.
    • To enable efficient real-time display, recording, and analysis of EGM signals for SCD research.

    Main Methods:

    • Developed a custom MATLAB graphical user interface (GUI) to control the MCS data acquisition unit.
    • Implemented direct data acquisition and saving into MATLAB format, bypassing inefficient file conversions.
    • Integrated real-time EGM signal processing and analysis capabilities within the MATLAB environment.

    Main Results:

    • The developed software provides real-time display of EGM signals.
    • It enables accurate recording and saving of EGM data directly in MATLAB format.
    • The software facilitates real-time analysis of EGM signals, improving research efficiency.

    Conclusions:

    • Customized MATLAB software significantly enhances the utility of MCS DAQ units for studying sudden cardiac death.
    • The developed system streamlines data acquisition and analysis, facilitating more effective research into cardiac arrhythmias.