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Brain-computer interface using water-based electrodes

delete2010-11-03
delete55
PRE
AI
I
Ivan Volosyak *
D
Diana Valbuena
T
Tatsiana Malechka
J
Jan Peuscher
A
Axel Gräser
DOI:10.1088/1741-2560/7/6/066007delete
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Abstract

Abstract

En 中文
Current brain-computer interfaces (BCIs) that make use of EEG acquisition techniques require unpleasant electrode gel causing skin abrasion during the standard preparation procedure Electrodes that require tap water instead of electrolytic electrode gel would make both daily setup and clean up much faster, easier and comfortable This paper presents the results from ten subjects that controlled an SSVEP-based BCI speller system using two EEG sensor modalities water-based and gel-based surface electrodes Subjects performed in copy spelling mode using conventional gel-based electrodes and water-based electrodes with a mean information transfer rate (ITR) of 29 68 +/- 14 088 bit min(-1) and of 26 56 +/- 9 224 bit min(-1), respectively A paired t-test failed to reveal significant differences in the information transfer rates and accuracies of using gel- or water-based electrodes for EEG acquisition This promising result confirms the operational readiness of water-based electrodes for BCI applications
Keywords:
HIGH-RESOLUTION EEG
DRY ELECTRODE
SYSTEM
SENSOR
AI Summary

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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Journal of Neural Engineering cover
Journal of Neural Engineering
IF:
3.8
Papers:
4.0K
Citations:
1.4W

Organization

U
University of Bremen
Scholars:
8.1K
Papers: 7.2K
Citations: 1.1W
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