scholarly journals Classification of the Systems Used in Surface Electromyographic Signal Detection according to the Degree of Isotropy

2018 ◽  
Vol 7 (0) ◽  
pp. 107-116
Author(s):  
Noureddine Messaoudi ◽  
Raïs El’hadi Bekka ◽  
Samia Belkacem
Keyword(s):  
Signal Detection ◽  
Electromyographic Signal ◽  
Surface Electromyographic Signal

Comparison of SEMG Derived Parameters and Blood Oxygen Saturation in Monitoring Neuromuscular Fatigue in Humans

2013 ◽  
Vol 1 (4) ◽  
pp. 9-19
Author(s):  
M. Tarata ◽  
W. Wolf ◽  
D. Georgescu ◽  
D. Alexandru ◽  
M. Serbanescu
Keyword(s):  
Oxygen Saturation ◽  
Work Performance ◽  
Muscle Activation ◽  
Neuromuscular Fatigue ◽  
Blood Oxygen ◽  
Blood Oxygen Saturation ◽  
Noninvasive Methods ◽  
Electromyographic Signal ◽  
Surface Electromyographic Signal ◽  
Original Approach

The effects of neuromuscular fatigue are various and with serious consequences on work performance and safety. This paper provides a practical overview of several noninvasive methods of investigating neuromuscular fatigue (NMF), mainly via the surface electromyographic signal (SEMG), as essentially related to the muscle contraction and intimately mirroring muscle activation and contraction mechanisms. The purpose of this paper is to identify the most suitable non-invasively derived parameters for detecting and quantifying NMF, to be practically used in monitoring people exposed to high risks, such as fighter pilots. Wavelet Transform-based techniques (WT), as well as another original approach, together with the blood oxygen saturation are analyzed and discussed, based on results from preliminary experiments.

Normalization Patterns of the Surface Electromyographic Signal in the Phonation Evaluation

2015 ◽  
Vol 29 (1) ◽  
pp. 129.e1-129.e8 ◽  
Author(s):  
Patricia Maria Mendes Balata ◽  
Hilton Justino da Silva ◽  
Leandro de Araújo Pernambuco ◽  
Jabson Herber Profiro de Oliveira ◽  
Sílvia Regina Arruda de Moraes
Keyword(s):  
Electromyographic Signal ◽  
Surface Electromyographic Signal
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