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

Non-invasive arterial blood pressure waveform generation in critically ill patients: A sensor-based deep learning approach.

Computers in biology and medicine·2026
Same author

BLEscope: A Bluetooth Low Energy (BLE) Microscope for Wireless Multicontrast Functional Imaging.

IEEE transactions on bio-medical engineering·2024
Same author

Pix2HDR - A Pixel-Wise Acquisition and Deep Learning-Based Synthesis Approach for High-Speed HDR Videos.

IEEE transactions on pattern analysis and machine intelligence·2024
Same author

Pixel-wise programmability enables dynamic high-SNR cameras for high-speed microscopy.

Nature communications·2024
Same author

The influence of stereopsis on visual saliency in a proto-object based model of selective attention.

Vision research·2023
Same author

Neuromorphic applications in medicine.

Journal of neural engineering·2023

Related Experiment Video

Updated: May 24, 2025

Conducting Hyperscanning Experiments with Functional Near-Infrared Spectroscopy
06:42

Conducting Hyperscanning Experiments with Functional Near-Infrared Spectroscopy

Published on: January 19, 2019

9.9K

HermEIS: A Parallel Multichannel Approach to Rapid Spectral Characterization of Neural MEAs.

Akwasi Akwaboah, Ralph Etienne-Cummings

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    Summary

    We developed HermEIS, a new method for rapidly characterizing neural Microelectrode Arrays (MEAs). This approach provides crucial spectral impedance data for high-density electrode integrity assessment across a wide frequency range.

    More Related Videos

    Simultaneous Monitoring of Wireless Electrophysiology and Memory Behavioral Test as a Tool to Study Hippocampal Neurogenesis
    07:25

    Simultaneous Monitoring of Wireless Electrophysiology and Memory Behavioral Test as a Tool to Study Hippocampal Neurogenesis

    Published on: August 20, 2020

    3.0K
    Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels
    08:19

    Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

    Published on: October 20, 2023

    978

    Related Experiment Videos

    Last Updated: May 24, 2025

    Conducting Hyperscanning Experiments with Functional Near-Infrared Spectroscopy
    06:42

    Conducting Hyperscanning Experiments with Functional Near-Infrared Spectroscopy

    Published on: January 19, 2019

    9.9K
    Simultaneous Monitoring of Wireless Electrophysiology and Memory Behavioral Test as a Tool to Study Hippocampal Neurogenesis
    07:25

    Simultaneous Monitoring of Wireless Electrophysiology and Memory Behavioral Test as a Tool to Study Hippocampal Neurogenesis

    Published on: August 20, 2020

    3.0K
    Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels
    08:19

    Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

    Published on: October 20, 2023

    978

    Area of Science:

    • Neuroscience
    • Electrical Engineering
    • Materials Science

    Background:

    • High-density neural Microelectrode Arrays (MEAs) offer high-resolution recording capabilities.
    • Characterizing multichannel electrode integrity across a wide frequency spectrum is challenging due to data throughput limitations.
    • Current single-frequency impedance measurements (e.g., Z1kHz) lack sufficient spectral information.

    Purpose of the Study:

    • To introduce HermEIS, a novel, high-throughput impedance spectroscopy technique for characterizing high-density MEAs.
    • To overcome the latency issues associated with traditional multiplexed impedance acquisition methods.
    • To provide comprehensive spectral impedance data for evaluating electrode performance under various stimuli.

    Main Methods:

    • Leveraging single cycle in-phase and quadrature signal integrations to reduce data throughput.
    • Implementing a parallel 4-channel potentiostatic setup.
    • Utilizing a custom PCB with off-the-shelf electronics and an FPGA for data acquisition.

    Main Results:

    • Demonstrated impedance bandwidth across 6 decades (5x10^-2 to 5x10^4 Hz).
    • Successfully reduced data throughput for high-density acquisition systems.
    • Validated the HermEIS approach as a viable alternative to single-frequency measurements.

    Conclusions:

    • HermEIS offers a faster and more comprehensive characterization strategy for high-density MEAs.
    • The technique provides essential spectral impedance information for assessing electrode stability and functionality.
    • This advancement is crucial for the development of next-generation neural recording technologies.