The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Classification of prefrontal and motor cortex signals for three-class fNIRS-BCI
Abstract
Functional near-infrared spectroscopy (fNIRS) is an optical imaging method that can be used for a brain-computer interface (BCI). In the present study, we concurrently measure and discriminate fNIRS signals evoked by three different mental activities, that is, mental arithmetic (MA), right-hand motor imagery (RI), and left-hand motor imagery (LI). Ten healthy subjects were asked to perform the MA, RI, and LI during a 10s task period. Using a continuous-wave NIRS system, signals were acquired concurrently from the prefrontal and the primary motor cortices. Multiclass linear discriminant analysis was utilized to classify MA vs. RI vs. LI with an average classification accuracy of 75.6% across the ten subjects, for a 2-7s time window during the a 10s task period. These results demonstrate the feasibility of implementing a three-class fNIRS-BCI using three different intentionally-generated cognitive tasks as inputs.
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“The current BCI systems do not have the ability to decode movement intention, instead they use imagination based tasks for control (Hong and Nguyen, 2014; Khan et al., 2014; Hong et al., 2015).”
From Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review. (2017) · cites this paper as Hong et al., 2015
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Cites
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Brain–computer interface using a simplified functional near-infrared spectroscopy system
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On the suitability of near-infrared (NIR) systems for next-generation brain–computer interfaces
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Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface
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fNIRS-based brain-computer interfaces: a review
Naseer, N., & Hong, K.-S. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00003 · Cited by 988
Sleep Stage Classification Using EEG Signal Analysis: A Comprehensive Survey and New Investigation
Aboalayon, K. A. I., Faezipour, M., Almuhammadi, W. S., & Moslehpour, S. (2016) · Entropy · doi:10.3390/e18090272 · Cited by 387
Open Access Dataset for EEG+NIRS Single-Trial Classification
Shin, J., von Lühmann, A., Blankertz, B., Kim, D.-W., Jeong, J., Hwang, H., & Müller, K. (2016) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2016.2628057 · Cited by 283
Mental stress assessment using simultaneous measurement of EEG and fNIRS
Al-Shargie, F., Kiguchi, M., Badruddin, N., Dass, S. C., Hani, A. F. M., & Tang, T. B. (2016) · Biomedical Optics Express · doi:10.1364/boe.7.003882 · Cited by 293
Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
Hong, K., Khan, M. J., & Hong, M. J. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00246 · Cited by 287
Metadata
- Authors
- Hong, K.-S., Naseer, N., & Kim, Y.-H.
- Affiliations
- Pusan National University (KR)
- Samsung Medical Center (KR)
- Corresponding author
- Hong, Keum-Shik
- Venue
- Neuroscience Letters
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 587
- Pages
- 87-92
- ISSN
- 0304-3940 (ISSN-L)
- OpenAlex
- W2066303625
- Cited by
- 276
- References
- 42
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 10 · 2023: 14 · 2022: 17 · 2021: 32 · 2020: 36 · 2019: 30 · 2018: 43 · 2017: 28 · 2016: 28 · 2015: 26
- FWCI
- 15.24
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neuroscience Letters (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Research Foundation of Korea under the Ministry of Science, ICT and Future Planning (NRF-2014R1A2A1A10049727, NRF-2014R1A2A1A01005128)
- 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
- functional near-infrared spectroscopy, brain-computer interface, prefrontal cortex, primary motor cortex, motor imagery, mental arithmetic, three-class classification, linear discriminant analysis, continuous-wave NIRS
- MeSH terms
- Adult, Feasibility Studies, Humans, Imagination, Functional Laterality, Male, Motor Activity, Motor Cortex, Problem Solving, Discriminant Analysis, Linear Models, Prefrontal Cortex, Spectroscopy, Near-Infrared, Brain-Computer Interfaces
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