Continuous Wavelet Transform Analysis of Surface Electromyography for Muscle Fatigue Assessment on the Elbow Joint Motion
Studying muscle fatigue plays an important role in preventing the risks associated with musculoskeletal disorders. The effect of elbow-joint angle on time-frequency parameters during a repetitive motion provides valuable information in finding the most accurate position of the angle causing muscle f...
Main Authors: | Triwiyanto Triwiyanto, Oyas Wahyunggoro, Hanung Adi Nugroho, Herianto Herianto |
---|---|
Format: | Article |
Language: | English |
Published: |
VSB-Technical University of Ostrava
2017-01-01
|
Series: | Advances in Electrical and Electronic Engineering |
Subjects: | |
Online Access: | http://advances.utc.sk/index.php/AEEE/article/view/2173 |
Similar Items
-
An Investigation Into Time Domain Features of Surface Electromyography to Estimate the Elbow Joint Angle
by: Triwiyanto Triwiyanto, et al.
Published: (2017-01-01) -
Extraction of Electrocardiography Artefacts From Surface Electromyography Signals Using Continuous Wavelet Transform
by: Simon, Anein Deney
Published: (2019) -
Optimal Elbow Angle for Extracting sEMG Signals During Fatiguing Dynamic Contraction
by: Mohamed R. Al-Mulla, et al.
Published: (2015-09-01) -
Continuous wavelet transform of railway track defectoscopic signals in the Matlab Wavelet Toolbox
by: Vitalij Nichoga, et al.
Published: (2014-12-01) -
Comparison Study of Electromyography UsingWavelet and Neural Network
by: Sadeem Nabeel Saleem, et al.
Published: (2008-01-01)