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eess.SP2021★ 19 cited
EMG Signal Classification Using Reflection Coefficients and Extreme Value Machine
Reza Bagherian Azhiri, Mohammad Esmaeili, Mohsen Jafarzadeh +1
Electromyography is a promising approach to the gesture recognition of humans if an efficient classifier with high accuracy is available. In this paper, we propose to utilize Extre…
eess.SP2019★ 46 cited
Deep learning approach to control of prosthetic hands with electromyography signals
Mohsen Jafarzadeh, Daniel Curtiss Hussey, Yonas Tadesse
Natural muscles provide mobility in response to nerve impulses. Electromyography (EMG) measures the electrical activity of muscles in response to a nerve's stimulation. In the past…