Detection of muscle activities in the sEMG signal by using frequency features and adaptive decision threshold
Reliable detection of muscle activities from the surface electromyography (sEMG) signal is an important factor that makes the sEMG controlled orthotic devices a practical tool for assisting disabled people. In spite of the advantages of employing the sEMG signal as a control signal, the changes in t...
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Hoofdauteurs: | , , , , , |
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Formaat: | Artikel |
Taal: | English |
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Universiti Putra Malaysia Press
2020
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Online toegang: | http://psasir.upm.edu.my/id/eprint/90430/1/01%20JST%28S%29-0554-2020.pdf |
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