Zobrazeno 1 - 10
of 63
pro vyhledávání: '"LIZHENG PAN"'
Autor:
Baoguo Xu, Aiguo Song, Guopu Zhao, Jia Liu, Guozheng Xu, Lizheng Pan, Renhuan Yang, Huijun Li, Jianwei Cui
Publikováno v:
Biotechnology & Biotechnological Equipment, Vol 32, Iss 3, Pp 795-803 (2018)
This paper presents a novel electroencephalogram (EEG)-triggered upper extremity training system. Motor imagery EEG of upper extremity movements is adopted to trigger the Barrett WAM to perform rehabilitation training for patients with stroke. We foc
Externí odkaz:
https://doaj.org/article/e4f762c21d524c54ade331e47508b67c
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
During robot-aided rehabilitation exercises, monotonous, and repetitive actions can, to the subject, feel tedious and tiring, so improving the subject's motivation and active participation in the training is very important. A novel robot-aided upper
Externí odkaz:
https://doaj.org/article/f1b1021bc1814d51bdf4f02ffda2a002
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 16 (2019)
The motion rehabilitation training robot is developed to help patients with motion dysfunction recover their motor function by providing a large amount of repetitive robot-aided exercise. To achieve stable and smooth robot-aided exercises for stroke
Externí odkaz:
https://doaj.org/article/f1bee90d52674b9cadd7b3aa153df623
Publikováno v:
Entropy, Vol 22, Iss 5, p 511 (2020)
Emotion recognition realizing human inner perception has a very important application prospect in human-computer interaction. In order to improve the accuracy of emotion recognition, a novel method combining fused nonlinear features and team-collabor
Externí odkaz:
https://doaj.org/article/76b9c5f305b44b999e3ae2c6412eb493
Publikováno v:
Advances in Mechanical Engineering, Vol 10 (2018)
Aiming at the problem of gear fault diagnosis, in order to effectively extract the features and improve the accuracy of gear fault diagnosis, the method based on wavelet-packet independent component analysis and support vector machine with kernel fun
Externí odkaz:
https://doaj.org/article/26295c87eb9c489eb0fac02bb9791c01
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 15 (2018)
In the therapist-centered rehabilitation program, the experienced therapists can observe emotional changes of stroke patients and make corresponding decisions on their intervention strategies. Likewise, robotic-assisted stroke rehabilitation systems
Externí odkaz:
https://doaj.org/article/d4614b71edff4a9cbed471dda5c4324e
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 8, Iss 4, Pp 88-97 (2011)
Stroke is a leading cause of disability worldwide. In this paper, a novel robot‐assisted rehabilitation system based on motor imagery electroencephalography (EEG) is developed for regular training of neurological rehabilitation for upper limb strok
Externí odkaz:
https://doaj.org/article/60962b62dce743798a5e7af532e74aa2
Autor:
Baoguo Xu, Aiguo Song, Guopu Zhao, Guozheng Xu, Lizheng Pan, Renhuan Yang, Huijun Li, Jianwei Cui
Publikováno v:
Advances in Mechanical Engineering, Vol 7 (2015)
Brain–computer interface provides a new communication channel to control external device by directly translating the brain activity into commands. In this article, as the foundation of electroencephalogram-based robot-assisted upper limb rehabilita
Externí odkaz:
https://doaj.org/article/13141e30e91047d5afbf9f0830ad8ea9
Autor:
Baoguo Xu, Aiguo Song, Guopu Zhao, Guozheng Xu, Lizheng Pan, Renhuan Yang, Huijun Li, Jianwei Cui, Hong Zeng
Publikováno v:
Advances in Mechanical Engineering, Vol 7 (2015)
In this article, a neurorehabilitation system combining robot-aided rehabilitation with motor imagery–based brain–computer interface is presented. Feature extraction and classification algorithm for the motor imagery electroencephalography is imp
Externí odkaz:
https://doaj.org/article/ec5e8feef0c44fd69d35c6cf494f58cd
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 10 (2013)
User security is an important consideration for robots that interact with humans, especially for upper-limb rehabilitation robots, during the use of which stroke patients are often more susceptible to injury. In this paper, a novel safety supervisory
Externí odkaz:
https://doaj.org/article/f34d5d79309e428a88bba05fb4035645