Chong Li

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研究焦点

主要成就

代表论文

1. 1
   Deep Reinforcement Learning

   185 次引用 · 2019
2. 2
   A Transferable Deep Learning Prognosis Model for Predicting Stroke Patients' Recovery in Different Rehabilitation Trainings

   29 次引用 · 2022
3. 3
   Enhancing Brain–Computer Interface Performance by Incorporating Brain-to-Brain Coupling

   28 次引用 · 2024
4. 4
   Development and Implementation of an End-Effector Upper Limb Rehabilitation Robot for Hemiplegic Patients with Line and Circle Tracking Training

   23 次引用 · 2017
5. 5
   Tailoring brain–machine interface rehabilitation training based on neural reorganization: towards personalized treatment for stroke patients

   16 次引用 · 2022
6. 6
   Impact of smart force feedback rehabilitation robot training on upper limb motor function in the subacute stage of stroke

   15 次引用 · 2020
7. 7
   Quantitative Assessment of Motor Function for Patients with a Stroke by an End‐Effector Upper Limb Rehabilitation Robot

   14 次引用 · 2020
8. 8
   Enhancement of EEG–EMG coupling detection using corticomuscular coherence with spatial–temporal optimization

   10 次引用 · 2023
9. 9
   Denoising Algorithm for Event-Related Desynchronization-Based Motor Intention Recognition in Robot-assisted Stroke Rehabilitation Training with Brain-Machine Interaction

   9 次引用 · 2020
10. 10
    Recognizing the individualized sensorimotor loop of stroke patients during BMI-supported rehabilitation training based on brain functional connectivity analysis

    9 次引用 · 2022

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