19 citations · 22 across the 2 of their papers we have counts for
3 papers
Real-Time EMG Signal Classification via Recurrent Neural Networks
Reza Bagherian Azhiri, Mohammad Esmaeili, Mehrdad Nourani
Real-time classification of Electromyography signals is the most challenging part of controlling a prosthetic hand. Achieving a high classification accuracy of EMG signals in a sho…
EMG-Based Feature Extraction and Classification for Prosthetic Hand Control
Reza Bagherian Azhiri, Mohammad Esmaeili, Mehrdad Nourani
In recent years, real-time control of prosthetic hands has gained a great deal of attention. In particular, real-time analysis of Electromyography (EMG) signals has several challen…
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…