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

Objective. Brain-computer interfaces (BCIs) have the potential to be valuable clinical tools. However, the varied nature of BCIs, combined with the large number of laboratories participating in BCI research, makes uniform performance reporting difficult. To address this situation, we present a tutor...

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Published inJournal of neural engineering Vol. 11; no. 3; pp. 035001 - 12
Main Authors Thompson, David E, Quitadamo, Lucia R, Mainardi, Luca, Laghari, Khalil ur Rehman, Gao, Shangkai, Kindermans, Pieter-Jan, Simeral, John D, Fazel-Rezai, Reza, Matteucci, Matteo, Falk, Tiago H, Bianchi, Luigi, Chestek, Cynthia A, Huggins, Jane E
Format Journal Article
LanguageEnglish
Published England IOP Publishing 01.06.2014
Subjects
brain-computer interface
Brain-Computer Interfaces - standards
brain-machine interface
Conferences
Electroencephalography - instrumentation
Electroencephalography - standards
Equipment Failure Analysis - standards
Graduates
Guideline Adherence
Human-computer interface
Laboratories
Meetings
metrics
Neurofeedback - instrumentation
Performance measurement
Practice Guidelines as Topic
Reporting
Students
United States
Workshops
United States
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Summary:Objective. Brain-computer interfaces (BCIs) have the potential to be valuable clinical tools. However, the varied nature of BCIs, combined with the large number of laboratories participating in BCI research, makes uniform performance reporting difficult. To address this situation, we present a tutorial on performance measurement in BCI research. Approach. A workshop on this topic was held at the 2013 International BCI Meeting at Asilomar Conference Center in Pacific Grove, California. This paper contains the consensus opinion of the workshop members, refined through discussion in the following months and the input of authors who were unable to attend the workshop. Main results. Checklists for methods reporting were developed for both discrete and continuous BCIs. Relevant metrics are reviewed for different types of BCI research, with notes on their use to encourage uniform application between laboratories. Significance. Graduate students and other researchers new to BCI research may find this tutorial a helpful introduction to performance measurement in the field.
Bibliography:JNE-100069.R1
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Current address: David E. Thompson currently works in the Department of Electrical and Computer Engineering, Kansas State University, Manhattan KS.
ISSN:1741-2560
1741-2552
DOI:10.1088/1741-2560/11/3/035001