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

Pushing the Limits of One-Dimensional NMR Spectroscopy for Automated Structure Elucidation Using Artificial Intelligence.

Journal of chemical information and modeling·2026
Same author

Human neural stem cell-derived extracellular vesicles improve cognitive function following glioma chemoradiation therapy.

Cancer letters·2026
Same author

Generative design of intrinsically disordered protein regions with IDiom.

bioRxiv : the preprint server for biology·2026
Same author

Label-Free Optical Differentiation of Single Diffusing Amino Acids at Picomolar Concentrations.

Research square·2026
Same author

Epidemiological and Multi-Omics Investigation of Phytosterol Intake and Type 2 Diabetes Risk.

Research square·2026
Same author

Perception of brain-computer interface implantation surgery for motor, sensory, and autonomic restoration in spinal cord injury and stroke.

Frontiers in neuroscience·2026

Related Experiment Video

Updated: Jun 26, 2025

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

8.9K

Simulation-Informed Power Budget Estimate of a Fully-Implantable Brain-Computer Interface.

Claudia Serrano-Amenos1, Frank Hu2, Po T Wang3

  • 1Department of Biomedical Engineering, UCI, Irvine, CA, 92697, USA. clauds3@uci.edu.

Annals of Biomedical Engineering
|May 16, 2024
PubMed
Summary

The chest wall unit (CWU) for a brain-computer interface can safely consume up to 538 mW. This power ensures thermally safe operation for the fully-implantable device, supporting essential functions.

Keywords:
Brain–computer interface (BCI)Chest wall unit (CWU)Electrocorticography (ECoG)Finite element method (FEM)

More Related Videos

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

2.3K
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

25.7K

Related Experiment Videos

Last Updated: Jun 26, 2025

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

8.9K
A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

2.3K
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

25.7K

Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Implantable Devices

Background:

  • Fully-implantable brain-computer interfaces (BD-BCIs) require careful thermal management.
  • The chest wall unit (CWU) is a critical component for BD-BCI systems.
  • Ensuring safe operating temperatures is paramount for subcutaneous implants.

Purpose of the Study:

  • To estimate the maximum power consumption for a titanium-enclosed CWU.
  • To guarantee thermally safe operation of the CWU implanted in the pre-pectoral area.
  • To establish power budget specifications for a fully-implantable BD-BCI.

Main Methods:

  • Developed a thermal simulation model using the finite element method (FEM).
  • Utilized COMSOL software for implementing the thermal model.
  • Conducted a sensitivity analysis to validate predictions against physiological and environmental variations.

Main Results:

  • Predicted a safe power consumption range of 378 to 538 mW for the CWU.
  • Determined that this power range prevents exceeding the 2°C thermal safety threshold.
  • Confirmed the power budget is adequate for CWU functionalities like decoding and stimulation.

Conclusions:

  • The CWU can safely operate within the estimated power range.
  • This power budget is sufficient for essential BD-BCI functions.
  • The study provides critical design specifications for implantable BD-BCI systems.