近期论文
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【2023】
En Lai, Songwei Li, Ximing Mai and Jianjun Meng*, High-Frequency Discrete-Interval Binary Sequence in Asynchronous c-VEP-based BCI for Visual Fatigue Reduction (TBD)
Yuxuan Wei, Xu Wang, Ruijie Luo, Ximing Mai, Songwei Li and Jianjun Meng*, Decoding movement frequency and limb based on steady-state movement-related rhythm from noninvasive EEG (TBD)
Ximing Mai, Jikun Ai, Xiangyang Zhu* and Jianjun Meng*, Phase-locked Time-Shift Data Augmentation Method for SSVEP Brain-Computer Interfaces (TBD)
Xu Wang, Yu Zheng, Fan Wang, Han Ding, Jianjun Meng*, Yan Zhuo*, Unilateral Movement Decoding of Upper and Lower Limbs Using Magnetoencephalography (TBD)
Ximing Mai, Jikun Ai, Minghao Ji, Xinjun Sheng, Jianjun Meng*, Xiangyang Zhu*, A Hybrid BCI Combining SSVEP and EOG and its Application for Continuous Wheelchair Control (TBD)
Jianjun Meng#*, Songwei Li#, Guangye Li, Ruijie Luo, Xinjun Sheng, Xiangyang Zhu*, Virtual Physical Model-based Brain Switch via Periodic Active Modulation for Asynchronous Brain-Computer Interfacing (TBD)
Ruijie Luo, Ximing Mai and Jianjun Meng*, Effect of Motion State Variability on Error-related Potentials during Continuous Feedback Paradigms: towards Multiple Events Detection (TBD)
Guangye Li#, Shize Jiang#, Jianjun Meng, Zehan Wu, Haiteng Jiang, Zhen Fan, Jie Hu, Xinjun Sheng, Dingguo Zhang, Gerwin Schalk, Liang Chen*, and Xiangyang Zhu*, Spatio-temporal Evolution of Human Neural Activity During Visually-cued Hand Movements(TBD)
Ximing Mai, Xinjun Sheng, Xiaokang Shu, Yidan Ding, Xiangyang Zhu* and Jianjun Meng*, A Calibration-free Hybrid Approach Combining SSVEP and EOG for Continuous Control (TBD)
[38] Jikun Ai#, Jianjun Meng*#, Ximing Mai, Xiangyang Zhu, BCI control of robotic arm based on SSVEP with moving stimuli for reach and grasp tasks. IEEE Journal of Biomedical and Health Informatics, 2023, (Accept)
[37] Chen Chen, Yang Yu, Xinjun Sheng, Jianjun Meng, and Xiangyang Zhu*, Mapping Individual Motor Unit Activity to Continuous three-DoF Wrist Torques: Perspectives for Myoelectric Control. IEEE Trans on Neural Systems and Rehabilitation Engineering, 2023, (Accept)
[36] 魏玉烜，江曦源，王旭，蔡正祥，江海腾*，孟建军*，脑源成像技术及其应用研究进展.《中国科学.技术科学》.(已录用)
[35] Ning Jiang*, Chen Chen, Jiayuan He, Jianjun Meng, Lizhi Pan, Shiyong Su, and Xiangyang Zhu, Bio-robotics Research for Non-invasive Myoelectric Control Neural-interfaces for Prosthetic Control - A Ten-year Perspective Review. National Science Review. 2023, (Accept)
[34] Chen Chen, Yang Yu, Xinjun Sheng, Jianjun Meng, Xiangyang Zhu*, Real-time hand gesture recognition by decoding motor unit discharges across multiple motor tasks from surface electromyography, IEEE Trans on Biomedical Engineering, 2023, (Accept)
【2022】
[33] Shiyong Su, Guochong Chai, Wei Xu, Jianjun Meng, Xinjun Sheng, Andre Mouraux and Xiangyang Zhu*, Neural and behavioral evidence for functional roles of tactile and visual feedbacks in the application of myoelectric prosthesis, Journal of Neural Engineering, (Accept)
[32] Junyi Duan, Songwei Li, Li Ling, Ning Zhang, Jianjun Meng*, Exploring the Effects of Head Movements and accompanying Gaze Fixation Switch on steady-state visual evoked potential, Frontiers in Human Neuroscience, 16:943070, 2022
[31] Zontian Yin, Hanwei Chen, Xingchen Yang, Yifan Liu, Ning Zhang, Jianjun Meng*, Haihong Liu*, A Wearable ultrasound interface for prosthetic hand control, IEEE Journal of Biomedical and Health Informatics, 26(11), 2022, 5384-5393.
[30] Tian, S., Wang, M., Ma, H., Huang, P., Dai, N., Sun, Y., & Meng, J. Efficient tooth gingival margin line reconstruction via adversarial learning. Biomedical Signal Processing and Control, 2022(78), 103954.
[29] Guangye Li, Shize Jiang, Jianjun Meng, Guohong Chai, Zehan Wu, Zhen Fan, Jie Hu, Xinjun Sheng, Dingguo Zhang, Liang Chen* and Xiangyang Zhu*, Assessing differential representation of hand movements in multiple domains using stereo-electroencephalographic recordings, NeuroImage, 2022(250), 118969
[28] Jianjun Meng*#, Zehan Wu#, Songwei Li, Xiangyang Zhu, Effects of Gaze Fixation on the performance of a Motor imagery-based Brain-Computer Interface , Frontiers in Human Neuroscience, 15:773603, 2022
[27] Shiyong Su, Guochong Chai, Jianjun Meng, Xinjun Sheng, Andre Mouraux and Xiangyang Zhu*, Towards optimizing the non-invasive sensory feedback interfaces in a neural prosthetic control, Journal of Neural Engineering, 2022(19),016028
【2021】
[26] Songwei Li#, Junyi Duan#, Yu Sun, Xinjun Sheng, Xiangyang Zhu and Jianjun Meng*, Exploring Fatigue Effects on Performance Variation of Intensive Brain-Computer Interface (BCI) Practice, Frontiers in Neuroscience, 15:773790, 2021
【2020】
[25] He B., Yuan H., Meng J.J., Gao S.K., 'Brain-computer interfaces' in Neural Engineering, 3rd Edition, 2020.
[24] Suma D., Meng J., Edelman B., He B., 'Spatial-temporal aspects of continuous EEG-based neurorobotic control', Journal of Neural Engineering, 2020, 17(6) 066006.
[23] Su, S.Y., Chai, G.H., Sheng, X.J., Meng, J.J. & Zhu X.Y. ‘Contra-lateral desynchronized alpha oscillations linearly correlate with discrimination performance of tactile acuity,’ Journal of Neural Engineering, 2020, 17(4), 046041.
[22] Qi, P., Gao, L.Y., Meng, J.J., Thakor, N., Bezerianos, A., Sun, Y., ‘Effects of Rest-Break on Mental Fatigue Recovery Determined by a Novel Temporal Brain Network Analysis of Dynamic Functional Connectivity’, IEEE Transactions on Neural Systems and Rehabilitation Engineering 28.1 (2019): 62-71.
【2019】
[21] Edelman B1, Meng J.#, Suma D.#, Zurn C.*, Nagarajan E.*, Baxter B., Cline C.C. & He B. Noninvasive neuroimaging to enhance continuous neural tracking for robotic device control. Science Robotics. 4, eaaw6844 (2019). co-second author.
[20] Meng, J.J., He, B. ‘Exploring training effect in 42 human subjects using a non-invasive sensorimotor rhythm based online BCI’, Frontiers in Human Neuroscience, 13:128. 2019.
[19] Shu, X.K., Chen S.G., Meng, J.J., Yao L., Sheng X.J., Jia J., Farina D. & Zhu X. Y. Tactile Stimulation Improves Sensorimotor Rhythm-based BCI performance in Stroke Patients, IEEE Trans on Biomedical Engineering, 66(7), 2019, 1987-1995.
【2018】
[18] Meng J., Streitz, T., Gulachek, N., Suma, D. & He, B. Three-dimensional Brain-computer Interface control through simultaneous overt spatial attentional and motor imagery tasks. IEEE Trans on Biomedical Engineering, 65(11), 2018, 2417-2427. (Cover Article and Featured Story)
[17] Edelman B1#, Meng J1#, Gulachek, N., Cline, C. & He, B. Exploring cognitive flexibility with a noninvasive BCI using simultaneous steady-state visual evoked potentials and sensorimotor rhythms. IEEE Trans on Neural systems and rehabilitation engineering, 26(5), 2018, 936-947. co-first author
[16] Meng, J.J., Edelman., B.J., Olsoe, J., Jacobs, G., Zhang, S.Y., Beyko, A. & He, B. ‘A Study of the Effects of Electrode Number and Decoding Algorithm on Online EEG-Based BCI Behavioral Performance’, Frontiers in Neuroscience, 12 (2018): 227.
【2017】
[15] Meng, J.J., Mundahl, J., Streitz, T., Maile, K., Gulachek, N., He, J. & He, B. ‘Effects of Soft Drinks on Resting State EEG and Brain-Computer Interface Performance’, IEEE Access, 5 (2017): 18756-18764.
【2016】
[14] Meng, J.J., Zhang, S.Y., Bekyo, A., Olsoe, J., Baxter, B. & He, B. ‘Noninvasive Electroencephalogram Based Control of a Robotic Arm for Reach and Grasp tasks’, Sci. Rep. 6, 38565 (2016).
【2015】
[13] Meng, J.J., Yao, L., Sheng, X.J. Zhang, D.G. & Zhu, X.Y. ‘Simultaneously optimizing spatial spectral features based on mutual information for EEG classification,’ IEEE Trans on Biomedical Engineering, 62(1), 2015, 227-240.
[12] Yao, L., Meng, J.J., et al. ‘A novel calibration and task guidance framework for motor imagery BCI via a tendon vibration induced sensation with kinesthesia illusion’, Journal of neural engineering, 12.1 (2015): 016005.
[11] Shu, X.K., Yao, L., Meng, J.J., Sheng, X.J., & Zhu, X.Y. ‘Visual Stimulus Background Effects on SSVEP-Based BCI Towards a Practical Robot Car Control’, International Journal of Humanoid Robotics, 12(02), (2015),1550014.
【2014】
[10] Meng, J.J., Sheng, X.J., Zhang, D.G. & Zhu X.Y. ‘Improved Semi-supervised Adaptation for a Small Training DataSet in the Brain-Computer Interface,’ IEEE Journal of Biomedical Health Informatics, 18(4), 2014, 1461-1472.
[9] Yao, L., Meng, J.J., et al. ‘Combining Motor Imagery with Selective Sensation toward a Hybrid-Modality BCI’, IEEE Trans on Biomedical Engineering, 61(8), 2014, 2304 - 2312.
[8] Sun, Y., Lim, J.L., Meng, J.J., et al. ‘Discriminative Analysis of Brain Functional Connectivity Patterns for Mental Fatigue Classification’, Annals of Biomedical Engineering, 40(10), 2014, 2084 – 2094.
【2010 - 2013】
[7] Meng, J.J., Huang, G., Zhang, D.G., & Zhu, X.Y. Optimizing Spatial Spectral Patterns jointly with Channel Configuration for Brain-Computer Interface，Neurocomputing, 2013(104), 115-126.
[6] Yao, L., Meng, J.J., et al. ‘Selective Sensation based Brain-Computer Interface via Mechanical Vibrotactile Stimulation’, Plos ONE, 2013,8(6):e64784.
[5] Liu, G., Zhang, D.G., Meng, J.J., et al.. ‘Unsupervised adaptation of electroencephalogram signal processing based on fuzzy C-means algorithm’, International Journal of Adaptive Control and Signal Processing, 2012, 26(6): 482-495.
[4] Huang, G., Zhang, D.G., Meng, J.J., et al. ‘Interactions between two neural populations: A mechanism of chaos and oscillation in neural mass model’. Neurocomputing 74(6): 1026-1034 (2011).
[3] Liu, G., Huang, G., Meng, J.J., et al. ‘A Frequency-weighted Method Combined with CSP for EEG Classification in Brain-computer Interface’, Biomedical Signal Processing and Control, 2010, 5:174-180.
[2] Liu, G., Huang, G., Meng, J.J., et al. ‘Improved GMM with Parameter Initialization for Unsupervised Adaptation of Brain-Computer Interface’, International Journal for Numerical Methods in Biomedical Engineering, 2010, 26(6): 681-691.
[1] Huang, G., Liu, G.Q., Meng, J.J., et al. ‘Model Based Generalization Analysis of Common Spatial Pattern in Brain Computer Interfaces’, Cognitive Neurodynamic, 2010, 4(3):217-223.
中文期刊论文：
[2] Meng, J. J., Sheng, X. J., Yao, L., & Zhu, X. Y. Common spatial spectral pattern for motor imagery tasks in small channel configuration. 中国生物医学工程学报, 2013, 32(5), 553-561.
[1] Guo, J.J., Meng J.J., and Ding H. ‘Multi-channel IP instrument for monitoring electric parameters.’ 电测与仪表 Vol. 45 No.506 (2008): 013.
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【2023】
[4]
【2022】
[3] Zontian Yin, Hanwei Chen, Xingchen Yang, Yifan Liu, Ning Zhang, Jianjun Meng*, Haihong Liu*. Wearable Ultrasound Interface for Prosthetic Hand Manipulation. In: , et al. Intelligent Robotics and Applications. ICIRA 2022. Lecture Notes in Computer Science. Vol 13457, pp. 3-12, 2022.
[2] X. Mai, X. Sheng, X. Shu, Y. Ding, J. Meng*, and X. Zhu*, A Hybrid Asynchronous Brain-Computer Interface Combining SSVEP and EOG Signals for Rapid Target Recognition, Intelligent Robotics and Applications, Lecture Notes in Computer Science, pp. 760-770, 2022.
【2021】
[1] Ding, Y., Xie, P., Li, S., & Meng, J., EEG activity under different speeds and prompt types in motor imagery and motor execution. IEEE 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (pp. 175-180). November, 2021
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