Literature DB >> 20403781

A procedure for measuring latencies in brain-computer interfaces.

J Adam Wilson1, Jürgen Mellinger, Gerwin Schalk, Justin Williams.   

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.

Entities:  

Mesh:

Year:  2010        PMID: 20403781      PMCID: PMC3161621          DOI: 10.1109/TBME.2010.2047259

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  22 in total

1.  The mental prosthesis: assessing the speed of a P300-based brain-computer interface.

Authors:  E Donchin; K M Spencer; R Wijesinghe
Journal:  IEEE Trans Rehabil Eng       Date:  2000-06

Review 2.  Brain-computer interfaces for communication and control.

Authors:  Jonathan R Wolpaw; Niels Birbaumer; Dennis J McFarland; Gert Pfurtscheller; Theresa M Vaughan
Journal:  Clin Neurophysiol       Date:  2002-06       Impact factor: 3.708

3.  Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components.

Authors:  Gernot R Müller-Putz; Reinhold Scherer; Christian Brauneis; Gert Pfurtscheller
Journal:  J Neural Eng       Date:  2005-10-25       Impact factor: 5.379

4.  ECoG factors underlying multimodal control of a brain-computer interface.

Authors:  J Adam Wilson; Elizabeth A Felton; P Charles Garell; Gerwin Schalk; Justin C Williams
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2006-06       Impact factor: 3.802

5.  Millisecond accuracy video display using OpenGL under Linux.

Authors:  Neil Stewart
Journal:  Behav Res Methods       Date:  2006-02

6.  An evaluation of autoregressive spectral estimation model order for brain-computer interface applications.

Authors:  D J Krusienski; D J McFarland; J R Wolpaw
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2006

7.  Visual evoked potentials with CRT and LCD monitors: when newer is not better.

Authors:  Aatif M Husain; Susan Hayes; Margaret Young; Dharmen Shah
Journal:  Neurology       Date:  2009-01-13       Impact factor: 9.910

8.  Sensorimotor rhythm-based brain-computer interface (BCI): model order selection for autoregressive spectral analysis.

Authors:  Dennis J McFarland; Jonathan R Wolpaw
Journal:  J Neural Eng       Date:  2008-04-22       Impact factor: 5.379

9.  Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans.

Authors:  Jonathan R Wolpaw; Dennis J McFarland
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-07       Impact factor: 11.205

10.  How many people are able to control a P300-based brain-computer interface (BCI)?

Authors:  Christoph Guger; Shahab Daban; Eric Sellers; Clemens Holzner; Gunther Krausz; Roberta Carabalona; Furio Gramatica; Guenter Edlinger
Journal:  Neurosci Lett       Date:  2009-06-21       Impact factor: 3.046

View more
  8 in total

1.  A training platform for many-dimensional prosthetic devices using a virtual reality environment.

Authors:  David Putrino; Yan T Wong; Adam Weiss; Bijan Pesaran
Journal:  J Neurosci Methods       Date:  2014-04-13       Impact factor: 2.390

2.  A method to establish the spatiotemporal evolution of task-related cortical activity from electrocorticographic signals in single trials.

Authors:  W G Coon; G Schalk
Journal:  J Neurosci Methods       Date:  2016-07-15       Impact factor: 2.390

3.  Online adaptation of a c-VEP Brain-computer Interface(BCI) based on error-related potentials and unsupervised learning.

Authors:  Martin Spüler; Wolfgang Rosenstiel; Martin Bogdan
Journal:  PLoS One       Date:  2012-12-07       Impact factor: 3.240

4.  Craniux: a LabVIEW-based modular software framework for brain-machine interface research.

Authors:  Alan D Degenhart; John W Kelly; Robin C Ashmore; Jennifer L Collinger; Elizabeth C Tyler-Kabara; Douglas J Weber; Wei Wang
Journal:  Comput Intell Neurosci       Date:  2011-04-07

5.  Intraoperative mapping of expressive language cortex using passive real-time electrocorticography.

Authors:  AmiLyn M Taplin; Adriana de Pesters; Peter Brunner; Dora Hermes; John C Dalfino; Matthew A Adamo; Anthony L Ritaccio; Gerwin Schalk
Journal:  Epilepsy Behav Case Rep       Date:  2016-03-16

6.  Massively Parallel Signal Processing using the Graphics Processing Unit for Real-Time Brain-Computer Interface Feature Extraction.

Authors:  J Adam Wilson; Justin C Williams
Journal:  Front Neuroeng       Date:  2009-07-14

7.  Real-time classification of experience-related ensemble spiking patterns for closed-loop applications.

Authors:  Davide Ciliberti; Frédéric Michon; Fabian Kloosterman
Journal:  Elife       Date:  2018-10-30       Impact factor: 8.140

8.  audiomath: A neuroscientist's sound toolkit.

Authors:  N Jeremy Hill; Scott W J Mooney; Glen T Prusky
Journal:  Heliyon       Date:  2021-02-10
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.