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  1. Determining Optimal Feature-Combination for LDA Classification of Functional Near-Infrared Spectroscopy Signals in Brain-Computer Interface Application.Noman Naseer, Farzan M. Noori, Nauman K. Qureshi & Keum-Shik Hong - 2016 - Frontiers in Human Neuroscience 10.
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  • Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface.M. Jawad Khan, Melissa Jiyoun Hong & Keum-Shik Hong - 2014 - Frontiers in Human Neuroscience 8.
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  • Effects of HD-tDCS on Resting-State Functional Connectivity in the Prefrontal Cortex: An fNIRS Study.M. Atif Yaqub, Seong-Woo Woo & Keum-Shik Hong - 2018 - Complexity 2018:1-13.
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  • fNIRS-based brain-computer interfaces: a review.Noman Naseer & Keum-Shik Hong - 2015 - Frontiers in Human Neuroscience 9.
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  • Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces.Keum-Shik Hong, M. Jawad Khan & Melissa J. Hong - 2018 - Frontiers in Human Neuroscience 12.
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