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

Carbon Nanotube Hydrogel Electrodes for High-Fidelity Intra-Aural EEG in Wearable Neurotechnology.

Sensors (Basel, Switzerland)·2026
Same author

A unified multimodal learning framework for sentiment analysis and mental health indicators from YouTube videos.

Discover mental health·2026
Same author

Heart rate variability as a dual-use digital biomarker: integrating clinical, AI, and operational perspectives on human performance and resilience.

BMC cardiovascular disorders·2026
Same author

"Quo Vadis Diagnosis": Application of Informatics in Early Detection of Pneumothorax.

Diagnostics (Basel, Switzerland)·2023
Same author

Machine Learning Model Validated to Predict Outcomes of Liver Transplantation Recipients with Hepatitis C: The Romanian National Transplant Agency Cohort Experience.

Sensors (Basel, Switzerland)·2023
Same author

A Novel Blunge Calibration Intelligent Feature Classification Model for the Prediction of Hypothyroid Disease.

Sensors (Basel, Switzerland)·2023
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jan 17, 2026

Recording Brain Activity with Ear-Electroencephalography
09:58

Recording Brain Activity with Ear-Electroencephalography

Published on: March 31, 2023

3.5K

The Next Frontier in Brain Monitoring: A Comprehensive Look at In-Ear EEG Electrodes and Their Applications.

Alexandra Stefania Mihai Ungureanu1, Oana Geman1,2,3, Roxana Toderean1

  • 1Computers, Electronics and Automation Department, Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, 720229 Suceava, Romania.

Sensors (Basel, Switzerland)
|September 19, 2025
PubMed
Summary
This summary is machine-generated.

In-ear electroencephalography (EEG) offers a portable and comfortable alternative to traditional scalp EEG. This technology shows comparable signal quality and opens new avenues for brain monitoring and diagnostics.

Keywords:
EEG evolutionEEG signalcontact impedanceelectrodeselectroencephalogram (EEG)miniaturizationportable devices

More Related Videos

Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
13:32

Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

Published on: June 26, 2012

26.8K
Performing Behavioral Tasks in Subjects with Intracranial Electrodes
12:10

Performing Behavioral Tasks in Subjects with Intracranial Electrodes

Published on: October 2, 2014

11.8K

Related Experiment Videos

Last Updated: Jan 17, 2026

Recording Brain Activity with Ear-Electroencephalography
09:58

Recording Brain Activity with Ear-Electroencephalography

Published on: March 31, 2023

3.5K
Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
13:32

Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

Published on: June 26, 2012

26.8K
Performing Behavioral Tasks in Subjects with Intracranial Electrodes
12:10

Performing Behavioral Tasks in Subjects with Intracranial Electrodes

Published on: October 2, 2014

11.8K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Wearable Technology

Background:

  • Conventional electroencephalography (EEG) systems face limitations in portability and ease of use.
  • In-ear EEG technology has emerged as a more accessible and comfortable alternative for monitoring brain activity.

Purpose of the Study:

  • To review the development and performance of in-ear EEG technology.
  • To compare in-ear EEG with traditional scalp EEG, focusing on electrode performance and signal quality.
  • To outline the technological evolution and future prospects of intra-auricular EEG.

Main Methods:

  • Comparative analysis of in-ear EEG systems versus scalp EEG.
  • Evaluation of electrode materials, design strategies, and performance metrics (SNR, CMRR).
  • Review of technological development stages from research to deployment.

Main Results:

  • In-ear EEG systems demonstrate signal quality comparable to scalp EEG.
  • Optimized signal-to-noise ratio (SNR) and improved electrode stability were observed.
  • Key performance parameters like SNR, CMRR, signal amplitude, and user comfort were synthesized.

Conclusions:

  • In-ear EEG offers significant advantages in comfort, portability, and accessibility.
  • Challenges include anatomical variability, ergonomics, and motion artifacts.
  • Future research focuses on device integration, advanced algorithms, and neuro-applications.