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Neuromuscular Activation Based SEMG-Torque Hybrid Modeling and Optimization for Robot Assisted Neurorehabilitation.

W. Wang, Z. Hou, W. Shi, X. Liang, S. Ren, J. Wang, и L. Peng. ICONIP (2), том 11954 из Lecture Notes in Computer Science, стр. 591-602. Springer, (2019)

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Weiguo Wang

Weiguo Ji

Weiguo Xu

Zhanjun Shi

Jian Shi

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BCI and Multimodal Feedback Based Attention Regulation for Lower Limb Rehabilitation.J. Wang, W. Wang, Z. Hou, W. Shi, X. Liang, S. Ren, L. Peng, и Y. Zhou. IJCNN, стр. 1-7. IEEE, (2019)CNN-LSTM Network Based Prediction of Human Joint Angles Using Multi-Band SEMG and Historical Angles.Y. Jiao, W. Wang, Z. Hou, S. Ren, J. Wang, W. Shi, Z. Fang, и X. Liang. IJCNN, стр. 1-7. IEEE, (2021)Damping Control Based Speed Adjustment Strategy for a Lower Limb Rehabilitation Robot.X. Liang, Z. Hou, S. Ren, W. Shi, W. Wang, J. Wang, и T. Su. SSCI, стр. 1140-1145. IEEE, (2019)Neuromuscular Activation Based SEMG-Torque Hybrid Modeling and Optimization for Robot Assisted Neurorehabilitation.W. Wang, Z. Hou, W. Shi, X. Liang, S. Ren, J. Wang, и L. Peng. ICONIP (2), том 11954 из Lecture Notes in Computer Science, стр. 591-602. Springer, (2019)GPR and SPSO-CG based gait pattern generation for subject-specific training.W. Wang, W. Shi, S. Ren, Z. Hou, X. Liang, J. Wang, и L. Peng. Sci. China Inf. Sci., (2021)Transformer Based Cross-Subject Mental Workload Classification Using FNIRS for Real-World Application.Y. Jing, W. Wang, J. Wang, Y. Jiao, K. Xiang, T. Lin, W. Shi, и Z. Hou. EMBC, стр. 1-5. IEEE, (2023)Muscle Synergy Analysis Based on NMF for Lower Limb Motor Function Assessment.K. Xiang, W. Wang, Z. Hou, C. Zhang, J. Wang, W. Shi, Y. Jiao, и T. Lin. ROBIO, стр. 2116-2121. IEEE, (2022)Position Based Impedance Control Strategy for a Lower Limb Rehabilitation Robot.X. Liang, W. Wang, Z. Hou, S. Ren, J. Wang, W. Shi, L. Peng, и T. Su. EMBC, стр. 437-441. IEEE, (2019)SEMG and KNN Based Human Motion Intention Recognition for Active and Safe Neurorehabilitation.W. Shi, W. Wang, Z. Hou, X. Liang, J. Wang, S. Ren, и L. Peng. Aust. J. Intell. Inf. Process. Syst., 15 (3): 43-52 (2019)Learning Regional Attention Convolutional Neural Network for Motion Intention Recognition Based on EEG Data.Z. Fang, W. Wang, S. Ren, J. Wang, W. Shi, X. Liang, C. Fan, и Z. Hou. IJCAI, стр. 1570-1576. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..

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