Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces-Reference-Cited by-同舟云学术

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

Published:2018-06-28 Issue: Volume:12 Page:
ISSN:1662-5161
Container-title:Frontiers in Human Neuroscience
language:
Short-container-title:Front. Hum. Neurosci.

Author:

Hong Keum-Shik,Khan M. Jawad,Hong Melissa J.

Funder

National Research Foundation of Korea

Publisher

Frontiers Media SA

Subject

Behavioral Neuroscience,Biological Psychiatry,Psychiatry and Mental health,Neurology,Neuropsychology and Physiological Psychology

Reference164 articles.

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2. Classification of frontal cortex hemodynamic responses during cognitive tasks using wavelet transforms and machine learning algorithms;Abibullaev;Med. Eng. Phys.,2012

3. Measuring mental workload with EEG plus fNIRS;Aghajani;Front. Hum. Neurosci.,2017

4. Performance variation in motor imagery brain-computer interface: a brief review;Ahn;J. Neurosci. Methods,2015

5. Exploring neuro-physiological correlates of drivers' mental fatigue caused by sleep deprivation using simultaneous EEG, ECG, and fNIRS data;Ahn;Front. Hum. Neurosci.,2016

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