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

Neurofeedback, Biofeedback, and Basic Learning Theory: Revisiting the 2011 Conceptual Framework.

Applied psychophysiology and biofeedback·2025
Same author

Combining interictal intracranial EEG and fMRI to compute a dynamic resting-state index for surgical outcome validation.

Frontiers in network physiology·2025
Same author

Motor network dynamic resting state fMRI connectivity of neurotypical children in regions affected by cerebral palsy.

Frontiers in human neuroscience·2024
Same author

Resting-State Functional Magnetic Resonance Imaging Network Association With Mortality, Epilepsy, Cognition, and Motor Two-Year Outcomes in Suspected Severe Neonatal Acute Brain Injury.

Pediatric neurology·2024
Same author

Automated seizure onset zone locator from resting-state functional MRI in drug-resistant epilepsy.

Frontiers in neuroimaging·2023
Same author

Proceedings of the First Pediatric Coma and Disorders of Consciousness Symposium by the Curing Coma Campaign, Pediatric Neurocritical Care Research Group, and NINDS: Gearing for Success in Coma Advancements for Children and Neonates.

Neurocritical care·2023

Related Experiment Video

Updated: Mar 31, 2026

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment
10:03

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Published on: July 22, 2022

5.2K

Validation of a wireless dry electrode system for electroencephalography.

Sarah N Wyckoff1, Leslie H Sherlin2,3,4, Noel Larson Ford5,6

  • 1SenseLabs, Mesa, Arizona, Atascadero, CA, USA. sarah.wyckoff@senselabs.com.

Journal of Neuroengineering and Rehabilitation
|November 2, 2015
PubMed
Summary

Wireless dry electrode electroencephalography (EEG) systems show comparable signal output to conventional wet electrode systems. This validates their use in neurorehabilitation and clinical settings, overcoming previous limitations.

More Related Videos

Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury
09:16

Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury

Published on: June 21, 2019

26.5K
Reliable Acquisition of Electroencephalography Data during Simultaneous Electroencephalography and Functional MRI
11:00

Reliable Acquisition of Electroencephalography Data during Simultaneous Electroencephalography and Functional MRI

Published on: March 19, 2021

5.2K

Related Experiment Videos

Last Updated: Mar 31, 2026

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment
10:03

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Published on: July 22, 2022

5.2K
Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury
09:16

Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury

Published on: June 21, 2019

26.5K
Reliable Acquisition of Electroencephalography Data during Simultaneous Electroencephalography and Functional MRI
11:00

Reliable Acquisition of Electroencephalography Data during Simultaneous Electroencephalography and Functional MRI

Published on: March 19, 2021

5.2K

Area of Science:

  • Neuroscience
  • Biomedical Engineering

Background:

  • Electroencephalography (EEG) is crucial in healthcare and research.
  • Conventional EEG systems face barriers like setup time and cost.
  • Wireless dry electrode EEG offers a promising alternative, but clinical acceptance is hindered by lack of standardization.

Purpose of the Study:

  • To assess the validity of a wireless dry electrode EEG system against a conventional wet electrode system.
  • To address methodological limitations in comparing EEG systems.
  • To evaluate the clinical applicability of novel EEG technologies.

Main Methods:

  • Compared signal output of wireless dry and conventional wet EEG systems using a head model with test signals.
  • Recorded simultaneous eyes-closed and eyes-open EEG data from healthy adults using both systems.
  • Utilized mixed ANOVA and bivariate correlation analyses to assess signal validity.

Main Results:

  • No significant effects were found for between-group, frequency*device, or electrode*device interactions in simulated or in vivo data.
  • Significant positive correlations (p < .05, r > ±0.5) were observed between dry and wet electrode signals for theta, alpha, beta, and gamma frequencies.
  • High correlation coefficients indicate comparable signal amplitude between the two electrode types.

Conclusions:

  • Preliminary evidence suggests wireless dry electrode EEG data is comparable to conventional wet electrode EEG data.
  • Minor discrepancies in delta activity may be due to hardware filters or electrode placement.
  • This research supports the potential of wireless dry EEG systems for neurorehabilitation.