Literature DB >> 24763067

P300 speller BCI with a mobile EEG system: comparison to a traditional amplifier.

Maarten De Vos1, Markus Kroesen, Reiner Emkes, Stefan Debener.   

Abstract

OBJECTIVE: In a previous study, we presented a low-cost, small and wireless EEG system enabling the recording of single-trial P300 amplitudes in a truly mobile, outdoor walking condition (Debener et al (2012 Psychophysiology 49 1449-53)). Small and wireless mobile EEG systems have substantial practical advantages as they allow for brain activity recordings in natural environments, but these systems may compromise the EEG signal quality. In this study, we aim to evaluate the EEG signal quality that can be obtained with the mobile system. APPROACH: We compared our mobile 14-channel EEG system with a state-of-the-art wired laboratory EEG system in a popular brain-computer interface (BCI) application. N = 13 individuals repeatedly performed a 6 × 6 matrix P300 spelling task. Between conditions, only the amplifier was changed, while electrode placement and electrode preparation, recording conditions, experimental stimulation and signal processing were identical. MAIN
RESULTS: Analysis of training and testing accuracies and information transfer rate (ITR) revealed that the wireless mobile EEG amplifier performed as good as the wired laboratory EEG system. A very high correlation for testing ITR between both amplifiers was evident (r = 0.92). Moreover the P300 topographies and amplitudes were very similar for both devices, as reflected by high degrees of association (r > = 0.77). SIGNIFICANCE: We conclude that efficient P300 spelling with a small, lightweight and quick to set up mobile EEG amplifier is possible. This technology facilitates the transfer of BCI applications from the laboratory to natural daily life environments, one of the key challenges in current BCI research.

Entities:  

Mesh:

Year:  2014        PMID: 24763067     DOI: 10.1088/1741-2560/11/3/036008

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  26 in total

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2.  Investigation of different classifiers and channel configurations of a mobile P300-based brain-computer interface.

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Journal:  Med Biol Eng Comput       Date:  2017-05-29       Impact factor: 2.602

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Review 5.  Using neurophysiological signals that reflect cognitive or affective state: six recommendations to avoid common pitfalls.

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6.  Exploring miniaturized EEG electrodes for brain-computer interfaces. An EEG you do not see?

Authors:  Martin G Bleichner; Micha Lundbeck; Matthias Selisky; Falk Minow; Manuela Jäger; Reiner Emkes; Stefan Debener; Maarten De Vos
Journal:  Physiol Rep       Date:  2015-04

7.  Wearable functional near infrared spectroscopy (fNIRS) and transcranial direct current stimulation (tDCS): expanding vistas for neurocognitive augmentation.

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Review 8.  Neurofeedback and the Aging Brain: A Systematic Review of Training Protocols for Dementia and Mild Cognitive Impairment.

Authors:  Lucas R Trambaiolli; Raymundo Cassani; David M A Mehler; Tiago H Falk
Journal:  Front Aging Neurosci       Date:  2021-06-09       Impact factor: 5.750

9.  Unobtrusive ambulatory EEG using a smartphone and flexible printed electrodes around the ear.

Authors:  Stefan Debener; Reiner Emkes; Maarten De Vos; Martin Bleichner
Journal:  Sci Rep       Date:  2015-11-17       Impact factor: 4.379

10.  Target Speaker Detection with Concealed EEG Around the Ear.

Authors:  Bojana Mirkovic; Martin G Bleichner; Maarten De Vos; Stefan Debener
Journal:  Front Neurosci       Date:  2016-07-27       Impact factor: 4.677

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