Representative Publications
Journal articles
[1] Feng, G†., Chai, G†*., Zhang, J*., Song, T., Shi, C., Xu, J., & Zuo, G. “Effective unilateral/bilateral robot-assisted training for upper limb motor function rehabilitation: a cross-sectional study”, Frontiers in Human Neuroscience, 2025, 19, 1571624.
[2] Lu, Y., Lin, Z., Li, Y., Lv, J., Zhang, J., Xiao, C., Liang, Y., Chen, X., Song, T., Chai, G*., & Zuo, G*. “A greedy assist-as-needed controller for end-effect upper limb rehabilitation robot based on 3-DOF potential field constraints”, Frontiers in Robotics and AI, 2024, 11, 1404814.
[3] Fang, Y., Guo, W., Chai, G., & Sheng, X. “A lightweight haptic interface for hand-to-object tasks with spatiotemporal displays”, IEEE Transactions on Industrial Electronics, 2024, 71(12), 16255-16263.
[4] Lin, Zixuan, Haowei Zheng, Yue Lu, Jiaji Zhang, Guohong Chai*, and Guokun Zuo*. "Object surface roughness/texture recognition using machine vision enables for human-machine haptic interaction." Frontiers in Computer Science, 2024, 6: 1401560.
[5] Su, S., Chai, G., Xu, W., Meng, J., Sheng, X., Mouraux, A., & Zhu, X. “Neural evidence for functional roles of tactile and visual feedback in the application of myoelectric prosthesis”, Journal of neural engineering, 2023, 20(1), 016038.
[6] Wang, X., Zhang, F., Shi, C., Jiang, W., Wang, K., Wu, C., Chen, H., Wu, J., Chai, G., Shen, Q., Tao, L., Gong, S., Xu, J., Tang, M. & Zuo, G. A Modified Method of Wearable Gait Analysis for Stroke Patients Based on the Peak Width Threshold and Phase Re-Segmentation. IEEE Sensors Journal, 2024.
[7] Chai G.H., Wang H., Li G.Y., Sheng X.J. and Zhu X.Y., "Electrotactile feedback improves grip force control and enables object stiffness recognition while using a myoelectric hand", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 30, p. 1310-1320, 2022 (JCRQ2, IF: 4.528)
[8] Xu, H., Chai, G., Zhang, N., & Gu, G. “Restoring finger-specific tactile sensations with a sensory soft neuroprosthetic hand through electrotactile stimulation”, Soft Science, 2022, 2(4).
[9] Su, S., Chai, G., Meng, J., Sheng, X., Mouraux, A., & Zhu, X. “Towards optimizing the non-invasive sensory feedback interfaces in a neural prosthetic control”, Journal of neural engineering, 2022, 19(1), 016028.
[10] Li G.Y., Jiang S.Z., M J.J., Chai G.H., Fan Z., Hu J., Sheng X.J., Zhang D.G., Chen L., and Zhu X.Y., "Assessing differential representation of hand movements in multiple domains using stereo-electroencephalographic recordings", NeuroImage, vol.250, p. 118969, 2022.
[11] Gu G.Y., Zhang N.B., Xu H.P., Lin S.T., Yu Y., Chai G.H., Ge L. S., Sheng X.J., Zhu X.Y. and Zhao X.H. “A soft neuroprosthetic hand providing simultaneous myoelectric control and tactile feedback”, Nature biomedical engineering, 2021: 1-10.
[12] Li G.Y., Jiang S.Z., Paraskevopoulou S.E., Chai G. H., Wei Z.X., Liu S.J., Wang M., Xu Y., Fan Z., Wu Z. H., Chen L., Zhang D.G., Zhu X.Y., “Detection of human white matter activation and evaluation of its function in movement decoding using stereo-electroencephalography (SEEG)”, Journal of Neural Engineering, 2021, 18(4): 0460c6.
[13] Lv B., Chai G.H., Sheng X.J. and Zhu X.Y., “Evaluating user and machine learning in short- and long-term pattern recognition-based myoelectric control”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021, 29, 777-785.
[14] Ye H.P., Fan Z., Chai G.H., Li G.Y., Wei Z. X., Hu J., Sheng X.J., Chen L. and Zhu X.Y., “Self-related stimuli decoding with auditory and visual modalities using stereo-electroencephalography”, Frontiers in Neuroscience, 2021, 15, 653965.
[15] Su S.Y., Chai G.H., Sheng X.J. Meng J.J. and Zhu X.Y., “Contra-lateral desynchronized alpha oscillations linearly correlate with discrimination performance of tactile acuity”, Journal of Neural Engineering, 2020, 17(4): 046041.
[16] Su S.Y., Chai G.H., Shu X.K., Sheng X.J. and Zhu X.Y., “Electrical stimulation-induced SSSEP as an objective index to evaluate the difference of tactile acuity between the left and right hand”, Journal of Neural Engineering, 2020, 17(1): 016053.
[17] Chen C., Chai G.H., Guo W.C., Sheng X.J., and Zhu X.Y., “Prediction of finger kinematics based on discharge timings of motor units: implications for intuitive control of myoelectric prosthesis”, Journal of Neural Engineering, 2019, 16: 026005.
[18] Chai G.H., Zhang D.G. and Zhu X.Y., “Developing non-somatotopic phantom finger sensation to comparable levels of somatotopic sensation through user training with electrotactile stimulation”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2016, 25(5):469-480.
[19] Chai G.H., Sui X.H., Li S., He L.W. and Lan N., “Characterization of evoked tactile sensation in forearm amputees with transcutaneous electrical nerve stimulation”. Journal of Neural Engineering, 2015, 12(6): 066002.
[20] Chai G.H., Sui X.H., Li P., Liu X.X. and Lan N., “Review on tactile sensory feedback of prosthetic hands for the upper-limb amputees by sensory afferent stimulation”, J. Shanghai Jiaotong Univ. (Sci.), 2014, 19(5): 1-5.
Conference articles
[1] Guang Feng, Jiaji Zhang*, Guohong Chai*, Maoqin Li, Guokun Zuo, and Lei Yang. An Effective Training Strategy for Upper-limb Rehabilitation Ro-bots Based on Visual-hHaptic Feedback Using Potential Field. IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), 2022.
[2] Wang H., Chai G., Sheng X. and Zhu X. “A programmable, multichannel, miniature stimulator for electrotactile feedback of neural hand prostheses”, 10th International IEEE/EMBS Conference on Neural Engineering (NER).. IEEE, 2021, 1026-1029.
[3] Chai G, Josselin B., Su S., Sheng X. and Zhu X. “Electrotactile feedback with spatial and mixed coding for object identification and closed-loop control of grasping force in myoelectric prostheses”, 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2019: 1805-1808. (EI)
[4] Su S., Chai G, Sheng X and Zhu X. “Electrical stimulation-induced SSSEP as an objective index for the evaluation of sensory ability”, 9th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2019: 908-911. (EI)
[5] Chen C., Yu Y., Chai G, Sheng X and Zhu X. “Estimating the single-DoF kinematics of wrist from motor unit behaviors”, 9th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2019: 469-472. (EI)
[6] Chai G, Zhang D, Sheng X., and Zhu X. “Evaluation of human proprioceptive matching ability in discrete grasping motions: implications for the sensory reconstruction of prosthetic hand”, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2018: 2394-2399. (SCI收录)
[7] Shu X, Chen S, Chai G, et al. Neural modulation by repetitive transcranial magnetic stimulation (rtms) for bci enhancement in stroke patients, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018: 2272-2275. (EI)
[8] Chai G.H., Li S., Sui X. H., Mei Z., He L. W., Zhong C. L., Wang J.W., Zhang D.G., Zhu X.Y., Lan, N., “Phantom finger perception evoked with transcutaneous electrical stimulation for sensory feedback of prosthetic hand”, 6th International IEEE/EMBS Conference on Neural Engineering (NER). San Diego, USA, 2013: 271-274. (EI)
[9] Liu X.X., Chai G.H., Qu H.E., Lan, N., “A sensory feedback system for prosthetic hand based on evoked tactile sensation”, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milano, Italy, 2015: 2493-2496. (EI)
[10] Li P., Chai G.H., Lan N., Sui X.H., “Effects of electrode size and spacing on sensory modalities in the phantom thumb perception area for the forearm amputees”, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milano, Italy, 2015: 3383-3386. (EI)
[11] Zhu K. H., Li P., Chai G.H., Lan N., Sui X.H., “Effects of stratum corneum and conductive gel properties on sensory afferents recruitment by 3D TENS computational modeling”, 7th International IEEE/EMBS Conference on Neural Engineering (NER), Montpellier, France, 2015: 506-509. (EI)
[12] Wang T., Li S., Chai G.H., Lan N., “Perceptual attributes of cutaneous electrical stimulation to provide sensory information for prosthetic limb”, Third International Conference on Information Science and Technology, Yangzhou,China, 2013, 978:22-25, (EI)
[13] Li S., Chai G.H., Sui X.H., Lan N., “Finite element modeling of cutaneous electrical stimulation for sensory feedback”, Chinese Journal of Biomedical Engineering, 2014, 23(4): 146-152.
