Tianyu Jia

发表

Tailoring brain–machine interface rehabilitation training based on neural reorganization: towards personalized treatment for stroke patients

Quan Xu, Yu Pan, Chong Li, 2022, Cerebral cortex.

Impact of smart force feedback rehabilitation robot training on upper limb motor function in subacute stage of stroke.

Quan Xu, Yu Pan, Chong Li, 2020, NeuroRehabilitation.

Research on the Influence Mechanism of Stock Returns of Listed Companies Based on Stepwise Regression Model

Yawen Li, Tianyu Jia, 2022, Academic Journal of Business & Management.

5 Hz rTMS improves motor-imagery based BCI classification performance

Chong Li, Linhong Mo, Aixian Liu, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Investigation of the effects of game difficulty on the engagement level of patient with brain injury during rehabilitation exercise

Linhong Ji, Chong Li, Tianyu Jia, 2019, International Conference on Signal Processing Systems.

Denoising Algorithm for Event-Related Desynchronization-Based Motor Intention Recognition in Robot-assisted Stroke Rehabilitation Training with Brain-Machine Interaction

Linhong Ji, Ke Liu, Chao Qian, 2020, Journal of Neuroscience Methods.

Small-Dimension Feature Matrix Construction Method for Decoding Repetitive Finger Movements From Electroencephalogram Signals

Ke Liu, Yijia Lu, Tianyu Jia, 2020, IEEE Access.

Brain-Computer Interface Channel-Selection Strategy Based on Analysis of Event-Related Desynchronization Topography in Stroke Patients

Linhong Ji, Yu Pan, Chong Li, 2019, Journal of healthcare engineering.

CNN-Based Prognosis of BCI Rehabilitation Using EEG From First Session BCI Training

Yu Pan, Chong Li, Tianyu Jia, 2021, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Enhancement of EEG–EMG coupling detection using corticomuscular coherence with spatial–temporal optimization

Chong Li, Tianyu Jia, Linhong Ji, 2023, Journal of neural engineering.

Multiscale Canonical Coherence for Functional Corticomuscular Coupling Analysis

Chong Li, Tianyu Jia, Linhong Ji, 2023, IEEE Journal of Biomedical and Health Informatics.

Recognizing the individualized sensorimotor loop of stroke patients during BMI-supported rehabilitation training based on brain functional connectivity analysis

Chong Li, Linhong Mo, Aixian Liu, 2022, Journal of Neuroscience Methods.