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 Experiment Videos

A general framework for characterizing studies of brain interface technology.

S G Mason1, M M Moore Jackson, G E Birch

  • 1Neil Squire Society, 220-2250 Boundary Rd., Burnaby, BC, Canada, V5M 4L9. smason@telus.net

Annals of Biomedical Engineering
|December 13, 2005
PubMed
Summary
This summary is machine-generated.

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

Online removal of eye movement and blink EEG artifacts using a high-speed eye tracker.

IEEE transactions on bio-medical engineering·2011
Same author

A self-paced brain-computer interface system with a low false positive rate.

Journal of neural engineering·2008
Same author

An automatic method to generate ensemble averages of movement-related potentials for individuals with spinal cord injuries.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference·2007
Same author

A comprehensive survey of brain interface technology designs.

Annals of biomedical engineering·2006
Same author

Analyzing trends in brain interface technology: a method to compare studies.

Annals of biomedical engineering·2006
Same author

A brain-controlled switch for asynchronous control applications.

IEEE transactions on bio-medical engineering·2000
Same journal

Immediate and Mid-Long-Term Effects of Foot Orthoses on Gait Biomechanics and Clinical Characteristics in Medial Knee Osteoarthritis: A Systematic Review and Meta-analysis.

Annals of biomedical engineering·2026
Same journal

Screening and Evaluation of Post-stroke Dysphagia: Insights from Neurology, Artificial Intelligence and Data Science-A Scoping Review.

Annals of biomedical engineering·2026
Same journal

Assessing the Efficacy of GameBreaker Softshell Headgear in Reducing Peak Head Kinematics.

Annals of biomedical engineering·2026
Same journal

Un-AI-ing: Compliance, Evasion, and the Distortion of Research Writing in the Age of AI Detection.

Annals of biomedical engineering·2026
Same journal

VisR Ultrasound for Monitoring Muscle Fatigue with FES-Induced and Volitional Isometric Contraction of the Rectus Femoris in Participants with Uninjured and Injured Spinal Cords.

Annals of biomedical engineering·2026
Same journal

The Magnet-Actuated Craniofacial (MAC) Distraction System: Magnetic Coupling Modeling.

Annals of biomedical engineering·2026
See all related articles

Developing a standardized language for brain interface (BI) technology is crucial. This work proposes a BI study framework to improve communication, validation, and research across diverse scientific fields.

Area of Science:

  • Neuroscience
  • Computer Science
  • Biomedical Engineering
  • Human-Computer Interaction

Background:

  • The brain interface (BI) field faces challenges due to diverse terminology and methods, hindering cross-validation and understanding.
  • A lack of common perspective and language impedes the progress and cross-fertilization of BI technologies.
  • Previous work has addressed this by proposing taxonomies and functional models to standardize BI terminology.

Purpose of the Study:

  • To propose a theoretical framework for describing brain interface (BI) technology-related studies.
  • To establish a common language and perspective for the BI research community.
  • To stimulate discussion and accelerate the natural evolution of language selection in BI research.

Main Methods:

Related Experiment Videos

  • Developed a theoretical framework for BI studies, integrating concepts from classical science, assistive technology, human-computer interaction, and prior BI research.
  • Applied the framework to a representative set of BI studies from the literature.
  • Validated the framework's completeness and appropriateness for characterizing BI studies.

Main Results:

  • The proposed BI study framework effectively characterizes BI studies.
  • The framework was demonstrated to be complete and appropriate for thoroughly describing BI studies.
  • The framework facilitates objective review, comparison, and design of BI studies.

Conclusions:

  • The BI study framework provides a sound basis for community discussion and collaboration.
  • It enhances objective review, comparison, and design of BI studies.
  • The framework improves communication and education for new researchers in the BI field.