Hohyun Cho
Hohyun Cho
Other names호현 조
Department of Neurosurgery, Washington University School of Medicine in St. Louis
Verified email at - Homepage
Cited by
Cited by
EEG datasets for motor imagery brain computer interface
H Cho, M Ahn, S Ahn, M Kwon, SC Jun
Gigascience 6 (7), 1-8, 2017
High theta and low alpha powers may be indicative of BCI-illiteracy in motor imagery
M Ahn, H Cho, S Ahn, SC Jun
PloS one 8 (11), e80886, 2013
Gamma band activity associated with BCI performance: simultaneous MEG/EEG study
M Ahn, S Ahn, JH Hong, H Cho, K Kim, BS Kim, JW Chang, SC Jun
Frontiers in human neuroscience 7, 848, 2013
Interbrain phase synchronization during turn‐taking verbal interaction—a hyperscanning study using simultaneous EEG/MEG
S Ahn, H Cho, M Kwon, K Kim, H Kwon, BS Kim, WS Chang, JW Chang, ...
Human Brain Mapping, 2017
Achieving a hybrid brain–computer interface with tactile selective attention and motor imagery
S Ahn, M Ahn, H Cho, SC Jun
Journal of neural engineering 11 (6), 066004, 2014
Noise robustness analysis of sparse representation based classification method for non-stationary EEG signal classification
Y Shin, S Lee, M Ahn, H Cho, SC Jun, HN Lee
Biomedical Signal Processing and Control 21, 8-18, 2015
Increasing session-to-session transfer in a brain–computer interface with on-site background noise acquisition
H Cho, M Ahn, K Kim, SC Jun
Journal of Neural Engineering 12 (6), 066009, 2015
Simple adaptive sparse representation based classification schemes for EEG based brain–computer interface applications
Y Shin, S Lee, M Ahn, H Cho, SC Jun, HN Lee
Computers in biology and medicine 66, 29-38, 2015
User’s self-prediction of performance in motor imagery brain–computer interface
M Ahn, H Cho, S Ahn, SC Jun
Frontiers in human neuroscience 12, 59, 2018
Feasibility study for visual discomfort assessment on stereo images using EEG
H Cho, MK Kang, KJ Yoon, SC Jun
3D Imaging (IC3D), 2012 International Conference on, 1 - 6, 2012
Use of both eyes-open and eyes-closed resting states may yield a more robust predictor of motor imagery BCI performance
M Kwon, H Cho, K Won, M Ahn, SC Jun
Electronics 9 (4), 690, 2020
A wellness platform for stereoscopic 3D video systems using EEG-based visual discomfort evaluation technology
MK Kang, H Cho, HM Park, SC Jun, KJ Yoon
Applied Ergonomics 62, 158-167, 2017
Simultaneous EEG acquisition system for multiple users: development and related issues
S Lee, H Cho, K Kim, SC Jun
Sensors 19 (20), 4592, 2019
Calibration time reduction through source imaging in brain computer interface (BCI)
M Ahn, H Cho, SC Jun
HCI International 2011–Posters’ Extended Abstracts: International Conference …, 2011
23 A Step-by-Step Tutorial for a Motor Imagery–Based BCI
H Cho, M Ahn, M Kwon, SC Jun
Brain–Computer Interfaces Handbook: Technological and Theoretical Advances …, 2018
Invariant Common Spatio-Spectral Patterns
H Cho, M Ahn, S Ahn, SC Jun
TOBI 3rd Workshop, 31-32, 2012
Ergonomic issues in brain-computer interface technologies: current status, challenges, and future direction
HJ Baek, HS Kim, M Ahn, H Cho, S Ahn
Computational Intelligence and Neuroscience: CIN 2020, 2020
Event-related desynchronization (ERD) may not be correlated with motor imagery BCI performance
M Kwon, H Cho, K Won, M Ahn, SC Jun
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
Herbal extracts that reduce ocular oxidative stress may enhance attentive performance in humans
H Cho, M Kwon, H Jang, JB Lee, KC Yoon, SC Jun
Computational Intelligence and Neuroscience 2016 (Article ID 4292145), 13, 2016
Oscillatory brain activity changes by anodal tdcs—An ecog study on anesthetized beagles
S Jang, D Kim, J Been, H Cho, SC Jun
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
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