Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Liuni Qin"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 2126-2136 (2022)
The attention mechanism of the Transformer has the advantage of extracting feature correlation in the long-sequence data and visualizing the model. As time-series data, the spatial and temporal dependencies of the EEG signals between the time points
Externí odkaz:
https://doaj.org/article/a7f46af7c2054447bde04cb883439e7b
A CNN-Attention Network for Continuous Estimation of Finger Kinematics from Surface Electromyography
Autor:
Yanjuan Geng, Zhebin Yu, Yucheng Long, Liuni Qin, Ziyin Chen, Yongcheng Li, Xin Guo, Guanglin Li
Publikováno v:
IEEE Robotics and Automation Letters. 7:6297-6304
Autor:
Yanjuan Geng, Liuni Qin, Yongcheng Li, Zhebin Yu, Linling Li, Mojisola Grace Asogbon, Yang Zhan, Nan Yan, Xin Guo, Guanglin Li
Publikováno v:
Journal of neural engineering. 19(3)
Objective. For high-level peripheral nerve injuryed (PNI) patients with severe sensory dysfunction of upper extremities, identifying the multi-site tactile stimulation is of great importance to provide neurorehabilitation with sensory feedback. In th
Autor:
Yechao Han, Guanglin Li, Hongye Guan, Xiaojian Li, Yang Zhan, Tianming Zhao, Lili Xing, Liuni Qin, Xinyu Xue
Publikováno v:
Nano Energy. 85:106006
Devices to perform neural stimulation rely on batteries or permanent power outlet for power supply and delivery of electrical stimulation. Bulky system frame and inflexible component design are the limiting factors to improve portability and compatib