Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Muhammad Affan Arif"'
Publikováno v:
Journal of Clinical and Preventive Cardiology, Vol 10, Iss 2, Pp 68-73 (2021)
Background: Ischemic heart diseases (IHDs) are one of the most prevalent diseases worldwide. Several tests are undertaken for diagnosing IHDs including electrocardiography (ECG), echocardiography, troponin test, and angiography. Exercise tolerance te
Externí odkaz:
https://doaj.org/article/41d7c7af8000491a8083b7d59b7b9228
Autor:
Jiyuan Song, Aibin Zhu, Yao Tu, Hu Huang, Muhammad Affan Arif, Zhitao Shen, Xiaodong Zhang, Guangzhong Cao
Publikováno v:
Applied Sciences, Vol 10, Iss 10, p 3358 (2020)
In response to the need for an exoskeleton to quickly identify the wearer’s movement mode in the mixed control mode, this paper studies the impact of different feature parameters of the surface electromyography (sEMG) signal on the accuracy of huma
Externí odkaz:
https://doaj.org/article/2cb959528dd04d84a2e70444c46fc49e
Autor:
Jiyuan Song, Aibin Zhu, Yao Tu, Yingxu Wang, Muhammad Affan Arif, Huang Shen, Zhitao Shen, Xiaodong Zhang, Guangzhong Cao
Publikováno v:
Sensors, Vol 20, Iss 2, p 537 (2020)
Aiming at the requirement of rapid recognition of the wearer’s gait stage in the process of intelligent hybrid control of an exoskeleton, this paper studies the human body mixed motion pattern recognition technology based on multi-source feature pa
Externí odkaz:
https://doaj.org/article/5dc20fa57beb4ed1af68296d90b0d97a
Publikováno v:
IEEE/ASME Transactions on Mechatronics. :1-13
Publikováno v:
2022 19th International Conference on Ubiquitous Robots (UR).
Autor:
Aibin Zhu, Xiaodong Zhang, Hu Huang, Muhammad Affan Arif, Shen Zhitao, Guang-Zhong Cao, Song Jiyuan, Tu Yao
Publikováno v:
Applied Sciences, Vol 10, Iss 3358, p 3358 (2020)
Applied Sciences
Volume 10
Issue 10
Applied Sciences
Volume 10
Issue 10
In response to the need for an exoskeleton to quickly identify the wearer’s movement mode in the mixed control mode, this paper studies the impact of different feature parameters of the surface electromyography (sEMG) signal on the accuracy of huma