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[HTML][HTML] Feature extraction and classification methods for hybrid fNIRS-EEG brain-computer interfaces

KS Hong, MJ Khan, MJ Hong - Frontiers in human neuroscience, 2018 - frontiersin.org
In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared
spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) …
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Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces.

KS Hong, MJ Khan, MJ Hong - Frontiers in Human Neuroscience, 2018 - europepmc.org
In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared
spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) …
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[PDF][PDF] Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces

KS Hong, MJ Khan, MJ Hong - Front. Hum. Neurosci. 12: 246. doi …, 2018 - cogno.pusan.ac.kr
In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared
spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) …
[PDF] scienceopen.com

[PDF][PDF] Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces

KS Hong, MJ Khan, MJ Hong - Front. Hum. Neurosci. 12: 246. doi …, 2018 - scienceopen.com
In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared
spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) …

[引用][C] Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces

KS Hong, MJ Khan, MJ Hong - Frontiers in Human Neuroscience, 2018 - philpapers.org
Keum-Shik Hong, M. Jawad Khan & Melissa J. Hong, Feature Extraction and Classification
Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces - PhilPapers Sign in | Create an …

Feature extraction and classification methods for hybrid fNIRS-EEG brain-computer interfaces.

KS Hong, MJ Khan, MJ Hong - Frontiers in Human Neuroscience, 2018 - psycnet.apa.org
In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared
spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) …

Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces

KS Hong, MJ Khan, MJ Hong - Frontiers in human …, 2018 - pubmed.ncbi.nlm.nih.gov
In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared
spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) …
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[HTML][HTML] Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces

KS Hong, MJ Khan, MJ Hong - Frontiers in Human Neuroscience, 2018 - ncbi.nlm.nih.gov
In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared
spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) …

Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces

KS Hong, MJ Khan, MJ Hong - Frontiers in Human …, 2018 - search.proquest.com
In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared
spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) …

[引用][C] Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces

KS Hong, MJ Khan, MJ Hong - Frontiers in Human Neuroscience, 2018 - cir.nii.ac.jp
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