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dc.contributor.author신재영-
dc.date.accessioned2019-11-21T07:36:52Z-
dc.date.available2019-11-21T07:36:52Z-
dc.date.issued2017-03-
dc.identifier.citationBIOMED RESEARCH INTERNATIONAL, Article no. 6820482en_US
dc.identifier.issn2314-6133-
dc.identifier.issn2314-6141-
dc.identifier.urihttps://www.hindawi.com/journals/bmri/2017/6820482/-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/113301-
dc.description.abstractWe 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.en_US
dc.description.sponsorshipThis 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.en_US
dc.language.isoen_USen_US
dc.publisherHINDAWI LTDen_US
dc.subjectMOTOR IMAGERYen_US
dc.subjectEEGen_US
dc.subjectNIRSen_US
dc.subjectBCIen_US
dc.subjectREHABILITATIONen_US
dc.subjectCLASSIFICATIONen_US
dc.subjectSTATEen_US
dc.subjectPERFORMANCEen_US
dc.subjectARTIFACTSen_US
dc.subjectFNIRSen_US
dc.titleEvaluation of a Compact Hybrid Brain-Computer Interface Systemen_US
dc.typeArticleen_US
dc.identifier.doi10.1155/2017/6820482-
dc.relation.page1-1-
dc.relation.journalBIOMED RESEARCH INTERNATIONAL-
dc.contributor.googleauthorShin, Jaeyoung-
dc.contributor.googleauthorMueller, Klaus-Robert-
dc.contributor.googleauthorSchmitz, Christoph H.-
dc.contributor.googleauthorKim, Do-Won-
dc.contributor.googleauthorHwang, Han-Jeong-
dc.relation.code2017008438-
dc.sector.campusS-
dc.sector.daehakRESEARCH INSTITUTE[S]-
dc.sector.departmentINSTITUTE OF BIOMEDICAL ENGINEERING-
dc.identifier.pidnaraeshigo-
dc.identifier.researcherIDT-5173-2018-
dc.identifier.orcidhttp://orcid.org/0000-0003-2899-6893-


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