Using Functional Electrical Stimulation Mediated by Iterative Learning Control and Robotics to Improve Arm Movement for People With Multiple Sclerosis-Reference-Cited by-同舟云学术

Using Functional Electrical Stimulation Mediated by Iterative Learning Control and Robotics to Improve Arm Movement for People With Multiple Sclerosis

Published:2016-02 Issue:2 Volume:24 Page:235-248
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Sampson Patrica,Freeman Chris,Coote Susan,Demain Sara,Feys Peter,Meadmore Katie,Hughes Ann-Marie

Funder

Multiple Sclerosis Society

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/7407476/07066881.pdf?arnumber=7066881

Cited by 69 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Controlling FES of arm movements using physics-informed reinforcement learning via co-kriging adjustment;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Robotic systems for upper-limb rehabilitation in multiple sclerosis: a SWOT analysis and the synergies with virtual and augmented environments;Frontiers in Robotics and AI;2024-02-27

3. Enhanced Muscle Activation Using Robotic Assistance Within the Electromechanical Delay: Implications for Rehabilitation?;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

4. Passivity-Based Hybrid Systems Approach to Repetitive Learning Control for FES-Cycling with Control Input Saturation;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

5. Human–machine interaction controller of upper limb based on iterative learning method with zeroing neural algorithm and disturbance observer;Engineering Applications of Artificial Intelligence;2023-06