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

Wearable Camera-Based Dietary Assessment of Mother-Father Dyads in Urban and Rural Households in Ghana.

Current developments in nutrition·2026
Same author

Eating architecture components and their associations with BMI in urban and rural Ghanaian mothers, fathers, children, and adolescents, assessed using a wearable camera: A cross-sectional study.

Chronobiology international·2026
Same author

Mechanisms of Generative Image-to-Image Translation Networks.

IEEE access : practical innovations, open solutions·2026
Same author

Image-Based Volume Estimation for Food in a Bowl.

Journal of food engineering·2026
Same author

Artificial intelligence in electrocardiogram signals for sudden cardiac death prediction: a systematic review and meta-analysis.

Systematic reviews·2025
Same author

Target vessel-specific efficacy and short-term outcomes of rotational atherectomy in the treatment of chronic total occlusion.

Frontiers in cardiovascular medicine·2025
Same journal

Generalized Q-space MRI reveals macroscopic patterns of tumor architecture <i>in vivo</i>.

Proceedings of the IEEE ... annual Northeast Bioengineering Conference. IEEE Northeast Bioengineering Conference·2023
Same journal

Auto-Calibration for a Planar Epicardial Wire Robot.

Proceedings of the IEEE ... annual Northeast Bioengineering Conference. IEEE Northeast Bioengineering Conference·2017
Same journal

Vascular Perfusion of Implanted Human Engineered Cardiac Tissue.

Proceedings of the IEEE ... annual Northeast Bioengineering Conference. IEEE Northeast Bioengineering Conference·2016
Same journal

A FPGA Implementation of JPEG Baseline Encoder for Wearable Devices.

Proceedings of the IEEE ... annual Northeast Bioengineering Conference. IEEE Northeast Bioengineering Conference·2015
Same journal

Assessing Physical Performance in Free-Living Older Adults with a Wearable Computer.

Proceedings of the IEEE ... annual Northeast Bioengineering Conference. IEEE Northeast Bioengineering Conference·2015
Same journal

SIFT-Based Indoor Localization for Older Adults Using Wearable Camera.

Proceedings of the IEEE ... annual Northeast Bioengineering Conference. IEEE Northeast Bioengineering Conference·2015
See all related articles

Related Experiment Video

Updated: Apr 6, 2026

Long-term Continuous EEG Monitoring in Small Rodent Models of Human Disease Using the Epoch Wireless Transmitter System
08:43

Long-term Continuous EEG Monitoring in Small Rodent Models of Human Disease Using the Epoch Wireless Transmitter System

Published on: July 21, 2015

26.5K

A Simulation Study on a Single-Unit Wireless EEG Sensor.

Bo Luan1, Mingui Sun2

  • 1Department of Electrical & Computer Engineering, Neurosurgery University of Pittsburgh, Pittsburgh, PA 15213, USA.

Proceedings of the IEEE ... Annual Northeast Bioengineering Conference. IEEE Northeast Bioengineering Conference
|July 25, 2015
PubMed
Summary
This summary is machine-generated.

A novel, penny-sized wireless EEG sensor shows promise for point-of-care use. Simulations confirm reliable electroencephalography (EEG) acquisition, comparable to standard systems, overcoming limitations of traditional EEG setups.

Keywords:
Electroencephalography (EEG)Single-unit EEG sensorSpherical head model

More Related Videos

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

44.3K
Author Spotlight: Deciphering Memory and Learning Through Neural Implants for Multi&#45;Region Brain Studies
08:51

Author Spotlight: Deciphering Memory and Learning Through Neural Implants for Multi-Region Brain Studies

Published on: April 26, 2024

2.0K

Related Experiment Videos

Last Updated: Apr 6, 2026

Long-term Continuous EEG Monitoring in Small Rodent Models of Human Disease Using the Epoch Wireless Transmitter System
08:43

Long-term Continuous EEG Monitoring in Small Rodent Models of Human Disease Using the Epoch Wireless Transmitter System

Published on: July 21, 2015

26.5K
Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

44.3K
Author Spotlight: Deciphering Memory and Learning Through Neural Implants for Multi&#45;Region Brain Studies
08:51

Author Spotlight: Deciphering Memory and Learning Through Neural Implants for Multi-Region Brain Studies

Published on: April 26, 2024

2.0K

Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Wearable Technology

Background:

  • Traditional electroencephalography (EEG) systems present significant challenges for point-of-care applications due to their large size, immobility, and complex setup procedures.
  • These limitations hinder the widespread adoption of EEG monitoring in real-time clinical settings and remote patient care.
  • A need exists for more accessible, user-friendly EEG devices that can be rapidly deployed.

Purpose of the Study:

  • To introduce and evaluate the feasibility of a novel single-unit wireless EEG sensor designed for rapid, point-of-care application.
  • To quantitatively assess the reliability of EEG signal acquisition using the proposed sensor design through simulations.
  • To investigate the impact of sensor orientation on the strength of the acquired EEG signals.

Main Methods:

  • Development of a simulation model for a compact, single-unit wireless EEG sensor (20mm diameter cylinder with four electrodes).
  • Computational analysis to determine the reliability of EEG signal acquisition under various simulated conditions.
  • Parametric study to evaluate the influence of sensor placement and orientation on signal amplitude and quality.

Main Results:

  • Simulation results indicate that the single-unit wireless EEG sensor can reliably acquire electroencephalography (EEG) signals.
  • The sensor's orientation was found to be a significant factor influencing signal strength, necessitating careful placement.
  • The simulated EEG signals demonstrated comparability to those obtained from the conventional 10-20 International System.

Conclusions:

  • The proposed single-unit wireless EEG sensor design shows significant potential for overcoming the limitations of traditional EEG systems in point-of-care settings.
  • Simulation findings provide a strong basis for the further development and construction of a functional prototype.
  • This novel sensor could enable more accessible and efficient EEG monitoring in diverse clinical and remote environments.