A Procedure for Measuring Latencies in Brain–Computer Interfaces

Author

Wilson, J. Adam ; Mellinger, Jürgen ; Schalk, Gerwin ; Williams, Justin

Author_Institution

Dept. of Neurosurg., Univ. of Cincinnati, Cincinnati, OH, USA

Volume

57

Issue

7

fYear

2010

fDate

7/1/2010 12:00:00 AM

Firstpage

1785

Lastpage

1797

Abstract

Brain-computer interface (BCI) systems must process neural signals with consistent timing in order to support adequate system performance. Thus, it is important to have the capability to determine whether a particular BCI configuration (i.e., hardware and software) provides adequate timing performance for a particular experiment. This report presents a method of measuring and quantifying different aspects of system timing in several typical BCI experiments across a range of settings, and presents comprehensive measures of expected overall system latency for each experimental configuration.

Keywords

brain-computer interfaces; electroencephalography; medical signal processing; neurophysiology; BCI; Brain-Computer Interfaces; electrocorticography; electroencephalography; neural signals; system latency; system timing; BCI2000; Brain–computer interface (BCI); real time; timing; Brain; Computer Systems; Electroencephalography; Evoked Potentials; Humans; Models, Neurological; Reproducibility of Results; Signal Processing, Computer-Assisted; Time Factors; User-Computer Interface;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2010.2047259

Filename

5447739