Jianjun Meng
Cited by
Cited by
Noninvasive electroencephalogram based control of a robotic arm for reach and grasp tasks
J Meng, S Zhang, A Bekyo, J Olsoe, B Baxter, B He
Scientific Reports 6 (1), 38565, 2016
Noninvasive neuroimaging enhances continuous neural tracking for robotic device control
BJ Edelman, J Meng, D Suma, C Zurn, E Nagarajan, BS Baxter, CC Cline, ...
Science robotics 4 (31), eaaw6844, 2019
Brain–computer interfaces
B He, H Yuan, J Meng, S Gao
Neural engineering, 131-183, 2020
Combining motor imagery with selective sensation toward a hybrid-modality BCI
L Yao, J Meng, D Zhang, X Sheng, X Zhu
IEEE Transactions on Biomedical Engineering 61 (8), 2304-2312, 2013
Simultaneously optimizing spatial spectral features based on mutual information for EEG classification
J Meng, L Yao, X Sheng, D Zhang, X Zhu
IEEE transactions on biomedical engineering 62 (1), 227-240, 2014
Discriminative analysis of brain functional connectivity patterns for mental fatigue classification
Y Sun, J Lim, J Meng, K Kwok, N Thakor, A Bezerianos
Annals of biomedical engineering 42, 2084-2094, 2014
Automated selecting subset of channels based on CSP in motor imagery brain-computer interface system
J Meng, G Liu, G Huang, X Zhu
2009 IEEE International conference on robotics and biomimetics (ROBIO), 2290 …, 2009
Three-dimensional brain–computer interface control through simultaneous overt spatial attentional and motor imagery tasks
J Meng, T Streitz, N Gulachek, D Suma, B He
IEEE Transactions on Biomedical Engineering 65 (11), 2417-2427, 2018
Selective sensation based brain-computer interface via mechanical vibrotactile stimulation
L Yao, J Meng, D Zhang, X Sheng, X Zhu
PloS one 8 (6), e64784, 2013
Exploring training effect in 42 human subjects using a non-invasive sensorimotor rhythm based online BCI
J Meng, B He
Frontiers in human neuroscience 13, 128, 2019
A novel calibration and task guidance framework for motor imagery BCI via a tendon vibration induced sensation with kinesthesia illusion
L Yao, J Meng, X Sheng, D Zhang, X Zhu
Journal of neural engineering 12 (1), 016005, 2014
Tactile stimulation improves sensorimotor rhythm-based BCI performance in stroke patients
X Shu, S Chen, J Meng, L Yao, X Sheng, J Jia, D Farina, X Zhu
IEEE Transactions on Biomedical Engineering 66 (7), 1987-1995, 2018
Exploring cognitive flexibility with a noninvasive BCI using simultaneous steady-state visual evoked potentials and sensorimotor rhythms
BJ Edelman, J Meng, N Gulachek, CC Cline, B He
IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (5 …, 2018
Interactions between two neural populations: A mechanism of chaos and oscillation in neural mass model
G Huang, D Zhang, J Meng, X Zhu
Neurocomputing 74 (6), 1026-1034, 2011
Model based generalization analysis of common spatial pattern in brain computer interfaces
G Huang, G Liu, J Meng, D Zhang, X Zhu
Cognitive neurodynamics 4, 217-223, 2010
Optimizing spatial spectral patterns jointly with channel configuration for brain–computer interface
J Meng, G Huang, D Zhang, X Zhu
Neurocomputing 104, 115-126, 2013
Effects of soft drinks on resting state EEG and brain–computer interface performance
J Meng, JH Mundahl, TD Streitz, K Maile, NS Gulachek, J He, B He
IEEE Access 5, 18756-18764, 2017
Improved GMM with parameter initialization for unsupervised adaptation of brain–computer interface
G Liu, G Huang, J Meng, D Zhang, X Zhu
International Journal for Numerical Methods in Biomedical Engineering 26 (6 …, 2010
A study of the effects of electrode number and decoding algorithm on online EEG-based BCI behavioral performance
J Meng, BJ Edelman, J Olsoe, G Jacobs, S Zhang, A Beyko, B He
Frontiers in neuroscience 12, 227, 2018
Improved semisupervised adaptation for a small training dataset in the brain–computer interface
J Meng, X Sheng, D Zhang, X Zhu
IEEE journal of biomedical and health informatics 18 (4), 1461-1472, 2013
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