Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hanadi Abbas Jaber"'
Publikováno v:
Bulletin of Electrical Engineering and Informatics. 12:2087-2094
Hand prosthesis controlled by surface electromyography (sEMG) is promising due to the control capabilities and the noninvasive technique that machine learning (ML) offers to help physically disabled people during daily life. Nevertheless, dexterous p
Publikováno v:
2022 4th International Conference on Electrical, Control and Instrumentation Engineering (ICECIE).
Publikováno v:
IFAC-PapersOnLine. 54:117-122
The weakness of sperm motility arouses the interest of many researchers due to its effect on the success of fertilization cases in couples. In recent years, this has led to the emergence of new technologies such as controllable micro-motor systems wh
Publikováno v:
Iranian Journal of Science and Technology, Transactions of Electrical Engineering. 45:183-194
Myoelectric pattern recognition is a useful tool for identifying the user’s intended motion. However, the inherent nonstationary properties of Electromyography (EMG) signals usually limited the use of real time commercial prostheses. These variatio
Publikováno v:
Iraqi Journal for Electrical and Electronic Engineering. 16:1-10
In recent years, the number of researches in the field of artificial limbs has increased significantly in order to improve the performance of the use of these limbs by amputees. During this period, High-Density surface Electromyography (HD-sEMG) sign
Publikováno v:
Proceedings of the International Conference on Information and Communication Technology.
Electromyography (EMG) pattern recognition has been used for different applications such as prosthesis, human-computer interaction, rehabilitation robots, and many industrial applications. In this paper, a robust approach has been proposed for High D
Publikováno v:
Biomedical Signal Processing and Control. 66:102482
Although Electromyography (EMG) signals are sources of neural information that are essential in controlling the prosthetic hand, many confounding factors caused the variation of EMG signals properties over time. These factors degraded the performance