Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-9269
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Main Title: Evaluation of a Compact Hybrid Brain-Computer Interface System
Author(s): Shin, Jaeyoung
Müller, Klaus-Robert
Schmitz, Christoph H.
Kim, Do-Won
Hwang, Han-Jeong
Type: Article
Language Code: en
Abstract: We realized a compact hybrid brain-computer interface (BCI) system by integrating a portable near-infrared spectroscopy (NIRS) device with an economical electroencephalography (EEG) system. The NIRS array was located on the subjects’ forehead, covering the prefrontal area. The EEG electrodes were distributed over the frontal, motor/temporal, and parietal areas. The experimental paradigm involved a Stroop word-picture matching test in combination with mental arithmetic (MA) and baseline (BL) tasks, in which the subjects were asked to perform either MA or BL in response to congruent or incongruent conditions, respectively. We compared the classification accuracies of each of the modalities (NIRS or EEG) with that of the hybrid system. We showed that the hybrid system outperforms the unimodal EEG and NIRS systems by 6.2% and 2.5%, respectively. Since the proposed hybrid system is based on portable platforms, it is not confined to a laboratory environment and has the potential to be used in real-life situations, such as in neurorehabilitation.
URI: https://depositonce.tu-berlin.de/handle/11303/10307
http://dx.doi.org/10.14279/depositonce-9269
Issue Date: 8-Mar-2017
Date Available: 14-Nov-2019
DDC Class: 570 Biowissenschaften; Biologie
610 Medizin und Gesundheit
Subject(s): brain-computer interface
near-infrared spectroscopy
NIRS
EEG system
commercial EEG devices
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: BioMed Research International
Publisher: Hindawi Limited
Publisher Place: New York
Volume: 2017
Publisher DOI: 10.1155/2017/6820482
Page Start: 1
Page End: 11
EISSN: 2314-6141
ISSN: 2314-6133
Appears in Collections:FG Maschinelles Lernen » Publications

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