代表性论文专著
在机器人学、生物医学工程、康复工程、生机电一体化和多学科交叉领域的国际权威期刊(如Science Robotics, National Science Review, NeuroImage, IEEE Trans. Biomedical Engineering, IEEE Trans. Neural Sys. & Rehabilitation Engineering, IEEE Journal of Biomedical Health Informatics, Journal of Neural Engineering, Scientific Reports等)发表SCI检索论文46篇,包含TBME封面论文1篇。曾参编英文专著《Neural Engineering》 3rd Ed, Brain-computer interfaces一个章节。
【2024】
Zongtian Yin#, Jianjun Meng*#, Shang Shi, Weichao Guo, Han Ding, Honghai Liu, A Wearable Multi-sensor Fusion System for Neural Prostheses, (TBD)
Yuchen Xia#, Jianjun Meng∗#, Yuxuan Wei, Songwei Li, Ximing Mai, Ruijie Luo and Xiangyang Zhu, A Potential Field Shared Control Approach for Virtual Wheelchair Navigation via Brain-Computer Interface, (TBD)
Ruijie Luo#, Jianjun Meng#*, Yuxuan Wei, Ximing Mai, Guangye Li, Outcome processing response coupled to feedback-related EEG dynamics during discrete and continuous performance monitoring, (TBD)
Songwei Li#, Jianjun Meng#*, Yuxuan Wei and Xiangyang Zhu*, Vibrotactile-based Brain Switch via a Virtual Physical System Model, (TBD)
Zongtian Yin, Chen Chen, Jianjun Meng, and Xiangyang Zhu, Track the motor unit activities across movements by combining high-density surface electromyography with ultrafast ultrasound, (TBD)
Jianjun Meng#*, Songwei Li#, Guangye Li, Ruijie Luo, Xinjun Sheng, Xiangyang Zhu*, Model-Based Brain Switches via SSVEP Provide Sufficient Reliability for Daily-of-life Applications, (TBD)
Zongtian Yin, Chen Chen, Han Ding, Xiangyang Zhu and Jianjun Meng*, An Improved Blind Source Separation Algorithm for Decoding the Mechanical Spatiotemporal Responses of Motor Unitis, (TBD)
Yuxuan Wei#, Jianjun Meng#*, Ximing Mai, Ruijie Luo, Utilizing Temporal Characteristics to Enhance the EEG Motor Decoding Performance Based on Steady-State Movement-Related Rhythms, (TBD)
Jianjun Meng*, Songwei Li, Xu Wang, Ximing Mai, Yuxuan Wei, Ruijie Luo and Xiangyang Zhu*, Recent Developments of Noninvasive Brain-computer interfaces - a literature review (TBD)
[48] Yuxuan Wei#, Jianjun Meng#*, Ruijie Luo, Ximing Mai, Songwei Li, Yuchen Xia and Xiangyang Zhu*, Action Observation with Rhythm Imagery (AORI): A Novel Paradigm to Activate Motor-Related Pattern for High-Performance Motor Decoding, IEEE Trans on Biomedical Engineering, 2024, (Accept)
[47] Jianjun Meng#*, Songwei Li#, Guangye Li, Ruijie Luo, Xinjun Sheng, Xiangyang Zhu*, A Model-based Brain Switch via Periodic Motor Imagery Modulation for Asynchronous Brain-Computer Interfaces, Journal of Neural Engineering, 21.4 (2024): 046035.
[46] Xu Wang, Yu Zheng, Fan Wang, Han Ding, Jianjun Meng*, Yan Zhuo*, Unilateral Movement Decoding of Upper and Lower Limbs Using Magnetoencephalography, Biomedical Signal Processing and Control, 93 (2024): 106215.
[45] 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, IEEE Journal of Biomedical and Health Informatics, 2024, 28(5), 2769-2780.
[44] Ruijie Luo, Ximing Mai and Jianjun Meng*, Effect of Motion State Variability on Error-related Potentials during Continuous Feedback Paradigms: towards Multiple Events Detection, Journal of Neuroscience Methods, 2024, 401, 109982.
[43] 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, Biomedical Signal Processing and Control, 2024, 88:105530.
【2023】
[42] Ximing Mai, Jikun Ai, Xiangyang Zhu* and Jianjun Meng*, Phase-locked Time-Shift Data Augmentation Method for SSVEP Brain-Computer Interfaces, IEEE Trans on Neural Systems and Rehabilitation Engineering, 2023, 31: 4096 - 4105.
[41] 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, Journal of Neural Engineering, 2023, 20(6), 066019.
[40] 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, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023, 31: 3480 - 3491.
[39] 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. Cerebral Cortex (2023): bhad242.
[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, 27(8), 3818-3829.
[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, 31 (2023): 1807-1815.
[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. 10, no. 5 (2023): nwad048.
[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, 7(70):2058-2068.
【2022】
[33] Shiyong Su, Guochong Chai, Wei Xu, Jianjun Meng, Xinjun Sheng, Andre Mouraux and Xiangyang Zhu*, Neural evidence for functional roles of tactile and visual feedback in the application of myoelectric prosthesis, Journal of Neural Engineering 20, no. 1 (2023): 016038.
[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.
--------------------------------------会议论文-------------------------------------------
【2023】
[16] Meng, X., Meng, J., (2024, August). A miniature programmable multichannel sensory feedback device with electrotactile and vibrotactile modalities for amputees. In: 2024 International Conference on Intelligent Robotics and Applications (Accept). Singapore: Springer Nature Singapore.
[15] Lai, E., Mai, X., Meng, J., (2023, Nov). High-performance Deep Neural Network Pretrained with Contrastive Learning for Asynchronous High-frequency c-VEP Detection. In: 2023 IEEE International Conference on Bioinformatics and Biomedicine. (Accept)
[14] Ai, J., Mai, X., Meng, J., & Zhu, X. (2023, July). Exploring the Characteristics of Steady-state Visual Evoked Potentials Elicited by Moving Visual Flicker. In 2023 IEEE International Conference on Real-time Computing and Robotics (RCAR) (pp. 304-309). IEEE.
[13] Li, Y., Yin, Z., Zhang, T., & Meng, J. (2023, July). Decoding Discrete Gestures Across Different Arm Positions Based on Multimodal Fusion Strategy. In International Conference on Intelligent Robotics and Applications (pp. 331-342). Singapore: Springer Nature Singapore.
[12] Ji, M., Shi, S., Zhu, M., Li, S., & Meng, J. (2023, July). A Brain-Controlled Spherical Robot Based on Augmented Reality (AR). In International Conference on Intelligent Robotics and Applications (pp. 343-352). Singapore: Springer Nature Singapore.
【2022】
[11] 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.
[10] 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】
[9] 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
【Before 2021】
[8] Mundahl, J., Meng, J., He, J., & He, B. (2016, August). Soft drink effects on sensorimotor rhythm brain computer interface performance and resting-state spectral power. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1520-1523). IEEE.
[7] Yao, L., Shu, X., Meng, J., Zhang, D., Sheng, X., & Zhu, X. (2013, November). Enhanced motor imagery based brain-computer interface via unilateral wrist vibrotactile stimulation. In 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER) (pp. 29-32). IEEE.
[6] Yao, L., Sheng, X., Meng, J., Zhang, D., & Zhu, X. (2013, July). Mechanical vibrotactile stimulation effect in motor imagery based brain-computer interface. In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 2772-2775). IEEE.
[5] He, J., Zhang, D., Sheng, X., Meng, J., & Zhu, X. (2013, July). Improved discrete fourier transform based spectral feature for surface electromyogram signal classification. In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 6897-6900). IEEE.
[4] Shu, X., Yao, L., Meng, J., Sheng, X., & Zhu, X. (2013). Visual stimulus background effects on SSVEP-based brain-computer interface. In Intelligent Robotics and Applications: 6th International Conference, ICIRA 2013, Busan, South Korea, September 25-28, 2013, Proceedings, Part I 6 (pp. 453-462). Springer Berlin Heidelberg.
[3] Dong, W. H., Meng, J., & Luo, Z. (2011, November). Real-time estimation of human's intended walking speed for treadmill-style locomotion interfaces. In 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) (pp. 14-19). IEEE.
[2] Liu, G., Huang, G., Meng, J., Zhang, D., & Zhu, X. (2009, December). Unsupervised adaptation based on fuzzy c-means for brain-computer interface. In 2009 First International Conference on Information Science and Engineering (pp. 4122-4125). IEEE.
[1] Meng, J., Liu, G., Huang, G., & Zhu, X. (2009, December). Automated selecting subset of channels based on CSP in motor imagery brain-computer interface system. In 2009 IEEE International conference on robotics and biomimetics (ROBIO) (pp. 2290-2294). IEEE.