Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Sujiao Li"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2005-2015 (2024)
Gesture interaction via surface electromyography (sEMG) signal is a promising approach for advanced human-computer interaction systems. However, improving the performance of the myoelectric interface is challenging due to the domain shift caused by t
Externí odkaz:
https://doaj.org/article/e280549384074cdfa54925039d3fedab
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 12 (2024)
The rehabilitation robot can assist hemiplegic patients to complete the training program effectively, but it only focuses on helping the patient’s training process and requires the rehabilitation therapists to manually adjust the training parameter
Externí odkaz:
https://doaj.org/article/3692af378caf4f028435085e1467c352
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2024)
Training with “Extended Reality” or X-Reality (XR) systems can undoubtedly enhance the control of the myoelectric prostheses. However, there is no consensus on which factors improve the efficiency of skill transfer from virtual training to actual
Externí odkaz:
https://doaj.org/article/6643db4c937e4c67a0fa1680957f5f7c
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3417 (2024)
Pattern recognition in myoelectric control that relies on the myoelectric activity associated with arm motions is an effective control method applied to myoelectric prostheses. Individuals with transhumeral amputation face significant challenges in e
Externí odkaz:
https://doaj.org/article/307a4e4a843744ffbf88452805132f44
Publikováno v:
Bioengineering, Vol 10, Iss 12, p 1441 (2023)
Exoskeleton rehabilitation robots have been widely used in the rehabilitation treatment of stroke patients. Clinical studies confirmed that rehabilitation training with active movement intentions could improve the effectiveness of rehabilitation trea
Externí odkaz:
https://doaj.org/article/e38648663b0e431c80e2ccf936f7cc43
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2023)
ObjectiveThis study aimed to evaluate the effects of multiple virtual reality (VR) interaction modalities based on force-haptic feedback combined with visual or auditory feedback in different ways on cerebral cortical activation by functional near-in
Externí odkaz:
https://doaj.org/article/99767e7faa814646ae8e253cfc63a05a
Publikováno v:
Applied Artificial Intelligence, Vol 35, Iss 15, Pp 2370-2388 (2021)
With the increasing aging of the population, the design of automatic bath robot has the forward-looking significance. The robot needs to detect the skin position, so as to perform the bathing task. The perception of skin is the key technology to achi
Externí odkaz:
https://doaj.org/article/fa005f50c1a24336a728ed50caf93d67
Autor:
Sujiao Li, Xueqin Luo, Song Zhang, Yuanmin Tang, Jiming Sun, Qingyun Meng, Hongliu Yu, Chengyan Sun
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
The root mean square (RMS) of the surface electromyography (sEMG) signal can respond to neuromuscular function, which displays a positive correlation with muscle force and muscle tension under positive and passive conditions, respectively. The purpos
Externí odkaz:
https://doaj.org/article/8c4bb23c1e7b445ca331400c144cd02a
Publikováno v:
Complexity, Vol 2021 (2021)
Stroke and other neurological disorders have an effect on mobility which has a significant impact on independence and quality of life. The core rehabilitation requirements for patients with lower limb motor dysfunction are gait training, restand, and
Externí odkaz:
https://doaj.org/article/5e10a14ec7284e928a8c797f2ac6c023
Publikováno v:
NeuroRehabilitation. 52:413-423
BACKGROUND: There are few isometric training systems based on upper limb rehabilitation robots. Its efficacy and neural mechanism are not well understood. OBJECTIVE: This study aims to investigate the cortex activation of dynamic resistance and stati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f39571dc9511b225f32f78e5ecb550e
https://doi.org/10.3233/nre-220292
https://doi.org/10.3233/nre-220292