Evaluation of a Compact Hybrid Brain-Computer Interface System

Jaeyoung Shin; Klaus Robert Müller; Christoph H. Schmitz; Do Won Kim; Han Jeong Hwang

doi:10.1155/2017/6820482

Evaluation of a Compact Hybrid Brain-Computer Interface System

Jaeyoung Shin
, Klaus Robert Müller
, Christoph H. Schmitz
, Do Won Kim^*
, Han Jeong Hwang

^*Corresponding author for this work

Department of Artificial Intelligence

Research output: Contribution to journal › Article › peer-review

33 Citations (Scopus)

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.

Original language	English
Article number	6820482
Journal	BioMed Research International
Volume	2017
DOIs	https://doi.org/10.1155/2017/6820482
Publication status	Published - 2017

Bibliographical note

Funding Information:
This research was mainly supported by Business for Cooperative R&D between Industry, Academy, and Research Institute funded Korea Small and Medium Business Administration in 2016 (Grants no. S2380249). The research was also supported in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2014R1A6A3A03057524) and the Ministry of Science, ICT & Future Planning (NRF-2015R1C1A1A02037032) and by the BK21 program of NRF and by US/NIH Grant 1R21NS067278. Additionally we acknowledge funding by BMBF 01GQ0831 and BMBF 01GQ0850 and the German Research Foundation (DFG, KU 1453-1). Some equipment was generously provided by NIRx Medizintechnik GmbH, Berlin.

Publisher Copyright:
© 2017 Jaeyoung Shin et al.

ASJC Scopus subject areas

General Biochemistry,Genetics and Molecular Biology
General Immunology and Microbiology

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title = "Evaluation of a Compact Hybrid Brain-Computer Interface System",

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.",

author = "Jaeyoung Shin and M{\"u}ller, \{Klaus Robert\} and Schmitz, \{Christoph H.\} and Kim, \{Do Won\} and Hwang, \{Han Jeong\}",

note = "Funding Information: This research was mainly supported by Business for Cooperative R\&D between Industry, Academy, and Research Institute funded Korea Small and Medium Business Administration in 2016 (Grants no. S2380249). The research was also supported in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2014R1A6A3A03057524) and the Ministry of Science, ICT \& Future Planning (NRF-2015R1C1A1A02037032) and by the BK21 program of NRF and by US/NIH Grant 1R21NS067278. Additionally we acknowledge funding by BMBF 01GQ0831 and BMBF 01GQ0850 and the German Research Foundation (DFG, KU 1453-1). Some equipment was generously provided by NIRx Medizintechnik GmbH, Berlin. Publisher Copyright: {\textcopyright} 2017 Jaeyoung Shin et al.",

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Evaluation of a Compact Hybrid Brain-Computer Interface System

Abstract

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