Full metadata record
DC Field | Value | Language |
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dc.contributor.author | 임창환 | - |
dc.date.accessioned | 2022-09-26T01:44:29Z | - |
dc.date.available | 2022-09-26T01:44:29Z | - |
dc.date.issued | 2020-12 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, v. 28, no. 12, page. 2608-2614 | en_US |
dc.identifier.issn | 1534-4320; 1558-0210 | en_US |
dc.identifier.uri | https://ieeexplore.ieee.org/document/9222326/ | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/173847 | - |
dc.description.abstract | Transcranial near-infrared photobiomodulation (tNIR-PBM) can modulate physiological characteristics of the human brain, such as the cerebral blood flow and oxidative metabolism. Here, we investigated whether the performance of near-infrared spectroscopy (NIRS)-based brain-computer interfaces (BCIs) can be improved by tNIR-PBM applied to the prefrontal cortex with the same NIRS device. A total of 14 healthy individuals participated in the NIRS-based BCI study where the aim was to distinguish the mental arithmetic task from the idle state (IS) task either after tNIR-PBM or after sham stimulation, with the two experiments being conducted at least two days apart. The tNIR-PBM was applied by simply turning on the NIRS recording equipment for 20 min. To evaluate the degree of performance improvement obtained after tNIR-PBM, the average BCI classification accuracy obtained under the tNIR-PBM condition was compared with that obtained under the sham stimulation condition. The classification accuracy of NIRS-based BCI was significantly improved upon conduction of tNIR-PBM (82.74%) as compared to that in the sham stimulation condition (76.07%, p ˂ 0.005). Thus, our results suggest that simply turning on the NIRS recording equipment before the BCI experiment can improve the performance of the NIRS-based BCI system. | en_US |
dc.description.sponsorship | This work was supported in part by the Institute for Information and Communications Technology Promotion (IITP) funded by the Korea Government, Ministry of Science and ICT (MSIT), under Grant 2017-0-00432 and Grant 2020-0-01373, and in part by the National Research Foundation of Korea (NRF), MSIT, under Grant NRF-2019M3C7A1031278 and Grant NRF-2019R1A2C2086593. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | en_US |
dc.subject | Brain-computer interface (BCI); nearinfrared spectroscopy (NIRS); transcranial photobiomodulation | en_US |
dc.title | Performance Improvement of Near-Infrared Spectroscopy-Based Brain-Computer Interfaces Using Transcranial Near-Infrared Photobiomodulation With the Same Device | en_US |
dc.type | Article | en_US |
dc.relation.no | 12 | - |
dc.relation.volume | 28 | - |
dc.identifier.doi | 10.1109/TNSRE.2020.3030639 | en_US |
dc.relation.page | 2608-2614 | - |
dc.relation.journal | IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING | - |
dc.contributor.googleauthor | Kwon, Jinuk | - |
dc.contributor.googleauthor | Im, Chang-Hwan | - |
dc.relation.code | 2020045542 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | SCHOOL OF ELECTRICAL AND BIOMEDICAL ENGINEERING | - |
dc.identifier.pid | ich | - |
dc.identifier.researcherID | ABB-4391-2021 | - |
dc.identifier.orcid | https://orcid.org/0000-0003-3795-3318 | - |
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