Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Guokun Zuo"'
Autor:
Yue Lu, Zixuan Lin, Yahui Li, Jinwang Lv, Jiaji Zhang, Cong Xiao, Ye Liang, Xujiao Chen, Tao Song, Guohong Chai, Guokun Zuo
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
It has been proven that robot-assisted rehabilitation training can effectively promote the recovery of upper-limb motor function in post-stroke patients. Increasing patients’ active participation by providing assist-as-needed (AAN) control strategi
Externí odkaz:
https://doaj.org/article/029079a05e34483abdc59f22abd6a477
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
IntroductionIn goal-directed tasks, visual prompts before the appearance of goals can make people ready in advance, which helps them to complete the movement better, and the presentation type of the visual prompt is very important. In previous studie
Externí odkaz:
https://doaj.org/article/11c53e5673ee42f8a0822f72c4e3e62c
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
Tactile feedback can effectively improve the controllability of an interactive intelligent robot, and enable users to distinguish the sizes/shapes/compliance of grasped objects. However, it is difficult to recognize object roughness/textures through
Externí odkaz:
https://doaj.org/article/0da47d54537d4528955c5c3fbeb49840
Autor:
Sijia Ye, Liang Tao, Shuang Gong, Yehao Ma, Jiajia Wu, Wanyi Li, Jiliang Kang, Min Tang, Guokun Zuo, Changcheng Shi
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
IntroductionUpper limb rehabilitation assessment plays a pivotal role in the recovery process of stroke patients. The current clinical assessment tools often rely on subjective judgments of healthcare professionals. Some existing research studies hav
Externí odkaz:
https://doaj.org/article/f88752bb612442d9975096579dd9634e
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
IntroductionIn studies on consciousness detection for patients with disorders of consciousness, difference comparison of EEG responses based on active and passive task modes is difficult to sensitively detect patients’ consciousness, while a single
Externí odkaz:
https://doaj.org/article/4117d6be90cf4aa79a6aebc477f9fd56
Autor:
Jiajia Wu, Huilin Zhou, Hao Chen, Wensong Jiang, Xuelian Wang, Tao Meng, Chaowen Wu, Li Li, Yuemin Wu, Weinv Fan, Changcheng Shi, Guokun Zuo
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
IntroductionRhythmic visual cues (RVCs) may influence gait initiation by modulating cognition resources. However, it is unknown how RVCs modulate cognitive resources allocation during gait movements. This study focused on investigating the effects of
Externí odkaz:
https://doaj.org/article/6c69842bbb014aa1be3211aac88585b2
Autor:
Dazheng Zhao, Yehao Ma, Jingyan Meng, Yang Hu, Mengqi Hong, Jiaji Zhang, Guokun Zuo, Xiao Lv, Yunfeng Liu, Changcheng Shi
Publikováno v:
Frontiers in Neurorobotics, Vol 17 (2023)
IntroductionThe time-varying and individual variability of surface electromyographic signals (sEMG) can lead to poorer motor intention detection results from different subjects and longer temporal intervals between training and testing datasets. The
Externí odkaz:
https://doaj.org/article/8dc6343256414f7eb896a3c30f883285
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Rhythmic visual cues can affect the allocation of cognitive resources during gait initiation (GI) and motor preparation. However, it is unclear how the input of rhythmic visual information modulates the allocation of cognitive resources and affects G
Externí odkaz:
https://doaj.org/article/ed13f1ea81b84be286cc4a7dd7fc4a9e
Autor:
Jingyan Meng, Na Li, Yang Hu, Dazheng Zhao, Guoning Li, Jingyan Hu, Tao Song, Yehao Ma, Rongzhen Fu, Guokun Zuo, Liang Tao, Min Tang, Yunfeng Liu, Changcheng Shi
Publikováno v:
Applied Bionics and Biomechanics, Vol 2023 (2023)
Visual or haptic feedback based on error modulation has been used to improve the effect of robot-assisted rehabilitation training. However, there are several investigations on the effects of error modulation-based visual and haptic feedback fusion st
Externí odkaz:
https://doaj.org/article/e2531ef1d32e489e8fcfa68f675421ef
Autor:
Yang Hu, Jingyan Meng, Guoning Li, Dazheng Zhao, Guang Feng, Guokun Zuo, Yunfeng Liu, Jiaji Zhang, Changcheng Shi
Publikováno v:
Sensors, Vol 23, Iss 8, p 4042 (2023)
Robot-assisted rehabilitation therapy has been proven to effectively improve upper-limb motor function in stroke patients. However, most current rehabilitation robotic controllers will provide too much assistance force and focus only on the patient
Externí odkaz:
https://doaj.org/article/0980a9d9b5414cafaa1528fd4b6a5f1c