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

Case Report: Spontaneous regression of cystic renal cell carcinoma.

Frontiers in oncology·2026
Same author

Progress of Non-Aqueous Liquid Electrolytes for High-Voltage Sodium-Ion Batteries.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Deciphering the molecular mechanisms of fluoxetine-induced sexual dysfunction: Evidence from pharmacovigilance, network toxicology, and molecular docking.

Progress in neuro-psychopharmacology & biological psychiatry·2026
Same author

Integrated transcriptomic, molecular docking, and mendelian randomization analysis reveal a microbial-propionate-JUN pathway in renal ischemia-reperfusion injury.

Virulence·2026
Same author

Electroencephalogram-based multimodal attention level classification using deep learning techniques.

Frontiers in human neuroscience·2026
Same author

Real-time channel selection for enhanced steady-state visual evoked potentials online brain-computer interface systems.

Journal of neuroscience methods·2026

Related Experiment Video

Updated: Jun 28, 2025

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

565

Average Time Consumption per Character: A Practical Performance Metric for Generic Synchronous BCI Spellers.

Zhenyu Wang, Honglin Hu, Ting Zhou

    IEEE Transactions on Bio-Medical Engineering
    |April 11, 2024
    PubMed
    Summary

    A new metric, average time consumption per character (ATCPC), is proposed for brain-computer interface (BCI) spellers. ATCPC offers a more realistic measure of communication speed than the traditional information transfer rate (ITR).

    More Related Videos

    Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
    06:48

    Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

    Published on: June 25, 2019

    9.2K
    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

    9.0K

    Related Experiment Videos

    Last Updated: Jun 28, 2025

    P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
    06:09

    P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

    Published on: September 8, 2023

    565
    Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
    06:48

    Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

    Published on: June 25, 2019

    9.2K
    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

    9.0K

    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Human-Computer Interaction

    Background:

    • Information Transfer Rate (ITR) is the standard metric for Brain-Computer Interface (BCI) spellers.
    • ITR provides an unattainable upper bound for communication speed in real-world BCI systems.

    Purpose of the Study:

    • To introduce a new, more realistic performance metric for BCI spellers.
    • To address the limitations of the current ITR metric.

    Main Methods:

    • Proposed Average Time Consumption per Character (ATCPC) metric.
    • Modeled BCI typing as a random walk on a graph.
    • Derived a closed-form formula for ATCPC using hitting time calculations.
    • Validated ATCPC through simulations and comparison with ITR.

    Main Results:

    • The derived ATCPC formula showed good consistency with simulations.
    • ITR consistently overestimates communication speed.
    • ATCPC provides a more realistic estimation of typing performance.

    Conclusions:

    • The proposed ATCPC metric is a valid and qualified substitute for ITR.
    • ATCPC highlights the potential of keyboard optimization for improving BCI speller performance.