| CNN-based prognosis of BCI rehabilitation using EEG from first session BCI training PJ Lin, T Jia, C Li, T Li, C Qian, Z Li, Y Pan, L Ji IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 1936-1943, 2021 | 38 | 2021 |
| Brain‐Computer Interface Channel‐Selection Strategy Based on Analysis of Event‐Related Desynchronization Topography in Stroke Patients C Li, T Jia, Q Xu, L Ji, Y Pan Journal of healthcare engineering 2019 (1), 3817124, 2019 | 34 | 2019 |
| Impact of smart force feedback rehabilitation robot training on upper limb motor function in the subacute stage of stroke Q Xu, C Li, Y Pan, W Li, T Jia, Z Li, D Ma, X Pang, L Ji NeuroRehabilitation 47 (2), 209-215, 2020 | 22 | 2020 |
| Quantitative assessment of motor function by an end-effector upper limb rehabilitation robot based on admittance control C Qian, W Li, T Jia, C Li, PJ Lin, Y Yang, L Ji Applied Sciences 11 (15), 6854, 2021 | 18 | 2021 |
| Enhancement of EEG–EMG coupling detection using corticomuscular coherence with spatial–temporal optimization J Sun, T Jia, Z Li, C Li, L Ji Journal of Neural Engineering 20 (3), 036001, 2023 | 12 | 2023 |
| Tailoring brain–machine interface rehabilitation training based on neural reorganization: towards personalized treatment for stroke patients T Jia, C Li, L Mo, C Qian, W Li, Q Xu, Y Pan, A Liu, L Ji Cerebral Cortex 33 (6), 3043-3052, 2023 | 11 | 2023 |
| Enhancing brain–computer interface performance by incorporating brain-to-brain coupling T Jia, J Sun, C McGeady, L Ji, C Li Cyborg and Bionic Systems 5, 0116, 2024 | 10 | 2024 |
| 5 Hz rTMS improves motor-imagery based BCI classification performance T Jia, L Mo, C Li, A Liu, Z Li, L Ji 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 10 | 2021 |
| Denoising algorithm for event-related desynchronization-based motor intention recognition in robot-assisted stroke rehabilitation training with brain-machine interaction T Jia, K Liu, C Qian, C Li, L Ji Journal of Neuroscience Methods 346, 108909, 2020 | 9 | 2020 |
| Small-dimension feature matrix construction method for decoding repetitive finger movements from electroencephalogram signals T Jia, K Liu, Y Lu, Y Liu, C Li, L Ji, C Qian IEEE Access 8, 56060-56071, 2020 | 8 | 2020 |
| Enhancing engagement during robot-assisted rehabilitation integrated with motor imagery task T Jia, C Li, X Guan, L Ji Proceedings of the 2019 International Conference on Intelligent Medicine and …, 2019 | 7 | 2019 |
| Investigation of the effects of game difficulty on the engagement level of patient with brain injury during rehabilitation exercise C Li, T Jia, L Ji Tenth International Conference on Signal Processing Systems 11071, 187-193, 2019 | 6 | 2019 |
| Recognizing the individualized sensorimotor loop of stroke patients during BMI-supported rehabilitation training based on brain functional connectivity analysis T Jia, C Li, L Mo, C Qian, L Ji, A Liu Journal of Neuroscience Methods 378, 109658, 2022 | 4 | 2022 |
| Multiscale canonical coherence for functional corticomuscular coupling analysis J Sun, T Jia, PJ Lin, Z Li, L Ji, C Li IEEE Journal of Biomedical and Health Informatics 28 (2), 812-822, 2023 | 3 | 2023 |
| Development and Preliminary Validation of a Pneumatic Focal Vibration System to the Mitigation of Post-Stroke Spasticity W Li, C Li, P Liu, Y Li, Y Xiang, T Jia, Q Xu, L Ji IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 380-388, 2021 | 2 | 2021 |
| Motor-Respiratory Coupling Improves Endurance Performance during Rhythmic Isometric Handgrip Exercise. Z Li, W Li, PJ Lin, T Jia, L Ji, C Li Medicine and Science in Sports and Exercise, 2023 | 1 | 2023 |
| Cortical Activation Patterns Determine Effectiveness of rTMS-induced Motor Imagery Decoding Enhancement in Stroke Patients T Jia, L Mo, C McGeady, J Sun, A Liu, L Ji, J Xi, C Li IEEE Transactions on Biomedical Engineering, 2024 | | 2024 |
| Enhancing Motor Learning Performance by Incorporating Brain-to-brain Coupling with Affective Interaction F Pan, T Jia, J Sun, AY Wang, L Ji, C Li 2024 46th Annual International Conference of the IEEE Engineering in …, 2024 | | 2024 |
| Unsupervised Gait Assessments of Stroke Patients Using a Smartphone and Machine Learning J Sun, T Jia, K Lim, L Mo, L Ji, C Li 2024 46th Annual International Conference of the IEEE Engineering in …, 2024 | | 2024 |
| Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios S Ma, B Hu, T Jia, AK Clarke, B Zicher, AH Caillet, D Farina, JC Principe 2024 Thirty-Eighth Annual Conference on Neural Information Processing …, 2024 | | 2024 |