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fNIRS-based brain-computer interfaces: a review
Frontiers in Human Neuroscience 9 (2015)
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Citations of this work
Neurotechnologies for Human Cognitive Augmentation: Current State of the Art and Future Prospects.Caterina Cinel, Davide Valeriani & Riccardo Poli - 2019 - Frontiers in Human Neuroscience 13:430907.
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.
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.
Measuring Mental Workload with EEG+fNIRS.Haleh Aghajani, Marc Garbey & Ahmet Omurtag - 2017 - Frontiers in Human Neuroscience 11:253159.
Single-trial lie detection using a combined fNIRS-polygraph system.M. Raheel Bhutta, Melissa J. Hong, Yun-Hee Kim & Keum-Shik Hong - 2015 - Frontiers in Psychology 6.
References found in this work
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.
Identifying and quantifying main components of physiological noise in functional near infrared spectroscopy on the prefrontal cortex.Evgeniya Kirlilna, Na Yu, Alexander Jelzow, Heidrun Wabnitz, Arthur M. Jacobs & Ilias Tachtsidis - 2013 - Frontiers in Human Neuroscience 7.
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