Detection of muscle activities in the sEMG signal by using frequency features and adaptive decision threshold

Detection of muscle activities in the sEMG signal by using frequency features and adaptive decision threshold

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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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Bibliographic Details
Main Authors:	Hameed, Husamuldeen Khalid, Wan Hasan, Wan Zuha, Shafie, Suhaidi, Ahmad, Siti Anom, Jaafar, Haslina, Inche Mat, Liyana Najwa
Format:	Article
Language:	English
Published:	Universiti Putra Malaysia Press 2020
Online Access:	http://psasir.upm.edu.my/id/eprint/90430/1/01%20JST%28S%29-0554-2020.pdf

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