A novel method based on long short term memory network and discrete-time zeroing neural algorithm for upper-limb continuous estimation using sEMG signals

Author:

Chai Yuanyuan,Liu Keping,Li Chunxu,Sun Zhongbo,Jin Long,Shi Tian

Funder

Science and Technology Projects of Fujian Province

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference33 articles.

1. A review of the key technologies for sEMG-based human-robot interaction systems;Li;Biomed. Signal Process. Control,2020

2. Evolving control of human-exoskeleton system using Gaussian process with local model;Yang;Biomed. Signal Process. Control,2020

3. An adaptive human-machine control system based on multiple fuzzy predictive models of operator functional state;Yang;Biomed. Signal Process. Control,2013

4. An adaptive iterative learning control approach for lower limb rehabilitation robot in noisy environments;Sun;2019 IEEE 9th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems,2019

5. Grasping force prediction based on sEMG signals;Ma;Alex. Eng. J.,2020

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