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

Long-term Intracortical Neural activity and Kinematics (LINK): An intracortical neural dataset for chronic brain-machine interfaces, neuroscience, and machine learning.

Advances in neural information processing systems·2026
Same author

Use of RPNIs and Implanted Electrodes for Prosthetic Wrist and Multi-Grip Hand Control during Functional Tasks: A Case Study.

IEEE transactions on bio-medical engineering·2026
Same author

A Roadmap to Navigate the Future of Neural Engineering.

Journal of neural engineering·2026
Same author

Quantifying the Contribution of Bone Morphology to Implant Selection in Shoulder Arthroplasty Using CT-Based Deep Learning.

Bioengineering (Basel, Switzerland)·2026
Same author

Bayesian Signal Matching for Transfer Learning in ERP-Based Brain Computer Interface.

Journal of the American Statistical Association·2026
Same author

A Flash Group Creation Algorithm for P300 Brain-Computer Interface Integration with Irregular Assistive Technology Keyboard Layouts.

Sensors (Basel, Switzerland)·2026
Same journal

Cortex-anchored sensor-space harmonics for event-related EEG.

Journal of neural engineering·2026
Same journal

Neural mechanisms of mixed speech and grasp representation in sensorimotor cortices.

Journal of neural engineering·2026
Same journal

Developing a binary communication protocol between biological neural networks using virtual white matter.

Journal of neural engineering·2026
Same journal

Spatiotemporally distinctive astrocytic and neuronal responses to repetitive intracortical microstimulation.

Journal of neural engineering·2026
Same journal

A neural mass modelling framework for evaluating EEG source localisation of seizure activity.

Journal of neural engineering·2026
Same journal

Functional and effective connectivity methods from SEEG for characterizing epileptogenic networks in refractory epilepsy: a comprehensive review and future directions.

Journal of neural engineering·2026
See all related articles

Related Experiment Video

Updated: Apr 29, 2026

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

16.1K

Performance measurement for brain-computer or brain-machine interfaces: a tutorial.

David E Thompson1, Lucia R Quitadamo, Luca Mainardi

  • 1Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.

Journal of Neural Engineering
|May 20, 2014
PubMed
Summary
This summary is machine-generated.

This tutorial introduces standardized performance measurement for brain-computer interfaces (BCIs). It aims to improve BCI research consistency and clinical application by providing clear reporting guidelines.

More Related Videos

Assessment and Communication for People with Disorders of Consciousness
07:37

Assessment and Communication for People with Disorders of Consciousness

Published on: August 1, 2017

11.4K
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

3.6K

Related Experiment Videos

Last Updated: Apr 29, 2026

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

16.1K
Assessment and Communication for People with Disorders of Consciousness
07:37

Assessment and Communication for People with Disorders of Consciousness

Published on: August 1, 2017

11.4K
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

3.6K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Rehabilitation Technology

Background:

  • Brain-computer interfaces (BCIs) show clinical promise but lack uniform performance reporting due to diverse research approaches.
  • Standardized metrics are crucial for comparing BCI systems and advancing their clinical integration.

Purpose of the Study:

  • To provide a tutorial on performance measurement in brain-computer interface (BCI) research.
  • To address the challenge of inconsistent performance reporting across numerous BCI laboratories.

Main Methods:

  • Consensus opinion from a workshop at the 2013 International BCI Meeting.
  • Refinement of opinions through subsequent discussions and input from non-attending authors.

Main Results:

  • Development of checklists for reporting methods in discrete and continuous BCIs.
  • Review of relevant metrics for various BCI research types to promote uniform application.

Conclusions:

  • This tutorial serves as an introductory guide for researchers, particularly graduate students, entering the field of BCI performance measurement.
  • Standardized reporting is essential for the reliable development and clinical translation of BCI technologies.