Application of neural network filters for improving an electromyogram signal filtration
Electromyography is a widely applied method for measuring the electrical activity of muscles in medical diagnostics, rehabilitation, and biomechanics. However, electromyography signals often encounter challenges due to noise and interference, complicating their interpretation and analysis. This pape...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tomsk Polytechnic University
2024-03-01
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| Series: | Известия Томского политехнического университета: Промышленная кибернетика |
| Subjects: | |
| Online Access: | https://indcyb.ru/journal/article/view/48/38 |
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