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A novel method based on long short term memory network and discrete-time zeroing neural algorithm for upper-limb continuous estimation using sEMG signals
Biomedical Signal Processing and Control, Volume: 67, Start page: 102416
Swansea University Author: Chunxu Li
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DOI (Published version): 10.1016/j.bspc.2021.102416
Abstract
A novel method based on long short term memory network and discrete-time zeroing neural algorithm for upper-limb continuous estimation using sEMG signals
Published in: | Biomedical Signal Processing and Control |
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ISSN: | 1746-8094 |
Published: |
Elsevier BV
2021
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Online Access: |
Check full text
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URI: | https://cronfa.swan.ac.uk/Record/cronfa66008 |
Keywords: |
SEMG; LSTM network; Discrete-time zeroing neural algorithm; Human upper limb; Motion intention recognition |
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College: |
Faculty of Science and Engineering |
Start Page: |
102416 |