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 tutorial on performance measurement in BCI research.


METHODS
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.


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.


CONCLUSIONS
Graduate students and other researchers new to BCI research may find this tutorial a helpful introduction to performance measurement in the field.
Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
David E
DE
Thompson
Lucia R
LR
Quitadamo
Luca
L
Mainardi
Khalil Ur Rehman
KU
Laghari
Shangkai
S
Gao
Pieter-Jan
PJ
Kindermans
John D
JD
Simeral
Reza
R
Fazel-Rezai
Matteo
M
Matteucci
Tiago H
TH
Falk
Luigi
L
Bianchi
Cynthia A
CA
Chestek
Jane E
JE
Huggins
D062207:Brain-Computer Interfaces / Q000592:standards*; D004569:Electroencephalography / Q000295:instrumentation* / Q000592:standards*; D019544:Equipment Failure Analysis / Q000592:standards*; D019983:Guideline Adherence; D058765:Neurofeedback / Q000295:instrumentation*; D017410:Practice Guidelines as Topic; D014481:United States