Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Runlin Dong"'
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 12 (2024)
Background and ObjectiveExoskeleton robot control should ideally be based on human voluntary movement intention. The readiness potential (RP) component of the motion-related cortical potential is observed before movement in the electroencephalogram a
Externí odkaz:
https://doaj.org/article/4be163cd368244ff82a06b8ba9cfa18f
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2024)
IntroductionActive rehabilitation requires active neurological participation when users use rehabilitation equipment. A brain-computer interface (BCI) is a direct communication channel for detecting changes in the nervous system. Individuals with dys
Externí odkaz:
https://doaj.org/article/cb0c1ce257b7463088721c19c80cd696
Autor:
Gilbert Masengo, Xiaodong Zhang, Runlin Dong, Ahmad B. Alhassan, Khaled Hamza, Emmanuel Mudaheranwa
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2023)
Effective control of an exoskeleton robot (ER) using a human-robot interface is crucial for assessing the robot's movements and the force they produce to generate efficient control signals. Interestingly, certain surveys were done to show off cutting
Externí odkaz:
https://doaj.org/article/ab4691763f564106943f1d4e7f020642
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
The electroencephalogram (EEG) and surface electromyogram (sEMG) fusion has been widely used in the detection of human movement intention for human–robot interaction, but the internal relationship of EEG and sEMG signals is not clear, so their fusi
Externí odkaz:
https://doaj.org/article/bbf95dd96bf44d70af73417bc418accf
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering. 235:723-734
Most control methods deployed in lower extremity rehabilitation robots cannot automatically adjust to different gait cycle stages and different rehabilitation training modes for different impairment subjects. This article presents a continuous seamle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3343107e06abf8579b1d298620b84e0
https://doi.org/10.1177/0959651820970720
https://doi.org/10.1177/0959651820970720
Autor:
Xiaodong Zhang, Gilbert Masengo, Runlin Dong, Mostafa Orban, Ahmad Bala Alhassan, Emmanuel Mudaheranwa, Gui Yin
Publikováno v:
2020 10th Institute of Electrical and Electronics Engineers International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER).
Artificial intelligence-based rehabilitation robots can be applied for peoples with lower limb motor dysfunction usually caused by accident, war, sports, spinal cord injury, paralysis, and vascular diseases to enhance the motion ability of their lowe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::840a1d955ddbcb6ffd41d33704af54d5
https://doi.org/10.1109/cyber50695.2020.9278952
https://doi.org/10.1109/cyber50695.2020.9278952
Publikováno v:
2020 10th Institute of Electrical and Electronics Engineers International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER).
For the problem that patients with lower limb motor dysfunction cannot generate strong exercise intention due to pain or other reasons during the rehabilitation exercise, which makes it difficult for precise control the lower limb motion assisted rob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee50130d314b49b972def59f98b7861b
https://doi.org/10.1109/cyber50695.2020.9279128
https://doi.org/10.1109/cyber50695.2020.9279128
Publikováno v:
2020 10th Institute of Electrical and Electronics Engineers International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER).
Exoskeleton robots and brain computer interface (BCI) have a considerable development. But, there is a problem of relatively lower detection accuracy for voluntary movement intention. Deep learning is an effective method to solve it, hence a RP-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27c88f00b6f264a2036ce6dad581024a
https://doi.org/10.1109/cyber50695.2020.9279117
https://doi.org/10.1109/cyber50695.2020.9279117
Publikováno v:
2020 10th Institute of Electrical and Electronics Engineers International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER).
Real-time application of exoskeleton remains a challenge due to the limited stability of electromyogram (EMG) collected on lower limb. To enhance generalization of EMG based pattern recognition (PR), this work proposed a novel fault-tolerant algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a496c17adad27a762a4c05683b3235c
https://doi.org/10.1109/cyber50695.2020.9279159
https://doi.org/10.1109/cyber50695.2020.9279159