The exaction of motor unit action potential from multi-channel SEMG signals

2015 ◽  
Author(s):  
He Jinbao ◽  
Yi Xinhua ◽  
Luo Zaifei
Keyword(s):  
Action Potential ◽  
Motor Unit ◽  
Motor Unit Action Potential ◽  
Motor Unit Action ◽  
Unit Action ◽  
Semg Signals

scholarly journals Multi-Channel Surface EMG Spatio-Temporal Image Enhancement Using Multi-Scale Hessian-Based Filters

2020 ◽  
Vol 10 (15) ◽  
pp. 5099 ◽  
Author(s):  
Khalil Ullah ◽  
Khalil Khan ◽  
Muhammad Amin ◽  
Muhammad Attique ◽  
Tae-Sun Chung ◽  
...  
Keyword(s):  
Action Potential ◽  
Motor Unit ◽  
Linear Structure ◽  
Surface Emg ◽  
Motor Unit Action Potential ◽  
Multi Scale ◽  
Motor Unit Action ◽  
Spatio Temporal ◽  
Unit Action ◽  
Semg Signals

Surface electromyography (sEMG) signals acquired with linear electrode array are useful in analyzing muscle anatomy and physiology. Most algorithms for signal processing, detection, and estimation require adequate quality of the input signals, however, multi-channel sEMG signals are commonly contaminated due to several noise sources. The sEMG signal needs to be enhanced prior to the digital signal and image processing to achieve the best results. This study is using spatio-temporal images to represent surface EMG signals. The motor unit action potential (MUAP) in these images looks like a linear structure, making certain angles with the x-axis, depending on the conduction velocity of the MU. A multi-scale Hessian-based filter is used to enhance the linear structure, i.e., the MUAP region, and to suppress the background noise. The proposed framework is compared with some of the existing algorithms using synthetic, simulated, and experimental sEMG signals. Results show improved detection accuracy of the motor unit action potential after the proposed enhancement as a preprocessing step.

scholarly journals Simulation of Motor Unit Action Potential Recordings From Intramuscular Multichannel Scanning Electrodes

2020 ◽  
Vol 67 (7) ◽  
pp. 2005-2014
Author(s):  
Akhmadeev Konstantin ◽  
Tianyi Yu ◽  
Eric Le Carpentier ◽  
Yannick Aoustin ◽  
Dario Farina
Keyword(s):  
Action Potential ◽  
Motor Unit ◽  
Motor Unit Action Potential ◽  
Motor Unit Action ◽  
Unit Action

scholarly journals Sliding window averaging for the extraction of representative waveforms from motor unit action potential trains

2016 ◽  
Vol 27 ◽  
pp. 32-43 ◽  
Author(s):  
Armando Malanda ◽  
Ignacio Rodriguez-Carreño ◽  
Javier Navallas ◽  
Javier Rodriguez-Falces ◽  
Sonia Porta ◽  
...  
Keyword(s):  
Action Potential ◽  
Motor Unit ◽  
Sliding Window ◽  
Motor Unit Action Potential ◽  
Motor Unit Action ◽  
Unit Action
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