Using Mechanomyograms for Estimating Median Frequency and Root Mean Square of Electromyograms With Hybrid Deep Neural Network and CatBoost Model

Using Mechanomyograms for Estimating Median Frequency and Root Mean Square of Electromyograms With Hybrid Deep Neural Network and CatBoost Model

The aim of this study is to estimate the median frequency (MDF) and root mean square (RMS) of surface electromyogram (sEMG) signal using a hybrid deep neural network (DNN) and CatBoost model from mechanomyogram (MMG) signal as a simple alternative approach. sEMG is measured from the skin over muscle...

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Bibliographic Details
Main Authors: Shing-Hong Liu, Wenxi Chen, Kang-Ming Chang, Kuo-Li Pan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Electromyogram
mechanomyogram
hybrid deep neural network
median frequency
root mean square
Online Access:https://ieeexplore.ieee.org/document/10776767/

Internet

https://ieeexplore.ieee.org/document/10776767/

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