Cited by 280EEG and Brain-Computer InterfacesOptical Imaging and Spectroscopy TechniquesGaze Tracking and Assistive Technology

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Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface

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Khan, M. Jawad, Hong, Melissa Jiyoun, Hong, Keum-Shik·2014·Frontiers in Human Neuroscience

DOI 10.3389/fnhum.2014.00244PMC PMC4009438

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Abstract

The hybrid brain-computer interface (BCI)'s multimodal technology enables precision brain-signal classification that can be used in the formulation of control commands. In the present study, an experimental hybrid near-infrared spectroscopy-electroencephalography (NIRS-EEG) technique was used to extract and decode four different types of brain signals. The NIRS setup was positioned over the prefrontal brain region, and the EEG over the left and right motor cortex regions. Twelve subjects participating in the experiment were shown four direction symbols, namely, "forward," "backward," "left," and "right." The control commands for forward and backward movement were estimated by performing arithmetic mental tasks related to oxy-hemoglobin (HbO) changes. The left and right directions commands were associated with right and left hand tapping, respectively. The high classification accuracies achieved showed that the four different control signals can be accurately estimated using the hybrid NIRS-EEG technology.

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Authors: Khan, M. J., Hong, M. J., & Hong, K.-S.
Affiliations: Pusan National University (KR)
Columbia University (US)
Corresponding author: Hong, Keum-Shik
ORCID: Khan, M. Jawad
Hong, Keum-Shik
Venue: Frontiers in Human Neuroscience
Publisher: Frontiers Media SA
Published: 2014-04-28
Volume: 8
Pages: 244-244
ISSN: 1662-5161 (ISSN-L)
DOI: 10.3389/fnhum.2014.00244
PMC: PMC4009438
OpenAlex: W1974893143
Cited by: 280
References: 62
Citations by year: 2026: 4 · 2025: 3 · 2024: 6 · 2023: 7 · 2022: 14 · 2021: 31 · 2020: 30 · 2019: 32 · 2018: 42 · 2017: 40 · 2016: 32 · 2015: 31 · 2014: 8
FWCI: 20.63
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
Locations: Frontiers in Human Neuroscience (publishedVersion, cc-by)
Europe PMC (PubMed Central) (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders: National Research Foundation
National Research Foundation of Korea
Ministry of Education, Science and Technology
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
Keywords: hybrid brain-computer interface, near-infrared spectroscopy, EEG, prefrontal cortex, motor cortex, oxyhemoglobin, hand tapping, brain signal classification

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Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface

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