Acquisition, Processing and Analysis of the Surface Electromyogram

1999 ◽  
pp. 705-755 ◽  
Author(s):  
Björn Gerdle ◽  
Stefan Karlsson ◽  
Scott Day ◽  
Mats Djupsjöbacka
Keyword(s):  
Surface Electromyogram

Intramuscular and surface electromyogram changes during muscle fatigue

1986 ◽  
Vol 60 (4) ◽  
pp. 1179-1185 ◽  
Author(s):  
T. Moritani ◽  
M. Muro ◽  
A. Nagata
Keyword(s):  
Muscle Fatigue ◽  
Biceps Brachii ◽  
Surface Emg ◽  
Firing Frequency ◽  
Voluntary Contraction ◽  
Mean Power ◽  
Mean Power Frequency ◽  
Surface Electromyogram ◽  
Spike Amplitude ◽  
Frequency Power

Twelve male subjects were tested to determine the effects of motor unit (MU) recruitment and firing frequency on the surface electromyogram (EMG) frequency power spectra during sustained maximal voluntary contraction (MVC) and 50% MVC of the biceps brachii muscle. Both the intramuscular MU spikes and surface EMG were recorded simultaneously and analyzed by means of a computer-aided intramuscular spike amplitude-frequency histogram and frequency power spectral analysis, respectively. Results indicated that both mean power frequency (MPF) and amplitude (rmsEMG) of the surface EMG fell significantly (P less than 0.001) together with a progressive reduction in MU spike amplitude and firing frequency during sustained MVC. During 50% MVC there was a significant decline in MPF (P less than 0.001), but this decline was accompanied by a significant increase in rmsEMG (P less than 0.001) and a progressive MU recruitment as evidenced by an increased number of MUs with relatively large spike amplitude. Our data suggest that the surface EMG amplitude could better represent the underlying MU activity during muscle fatigue and the frequency powers spectral shift may or may not reflect changes in MU recruitment and rate-coding patterns.

Decoding the neural drive to muscles from the surface electromyogram

2010 ◽  
Vol 121 (10) ◽  
pp. 1616-1623 ◽  
Author(s):  
Dario Farina ◽  
Aleš Holobar ◽  
Roberto Merletti ◽  
Roger M. Enoka
Keyword(s):  
Neural Drive ◽  
Surface Electromyogram

scholarly journals A computational model to investigate the effect of pennation angle on surface electromyogram of Tibialis Anterior

PLoS ONE ◽  
2017 ◽  
Vol 12 (12) ◽  
pp. e0189036 ◽  
Author(s):  
Diptasree Maitra Ghosh ◽  
Dinesh Kumar ◽  
Sridhar Poosapadi Arjunan ◽  
Ariba Siddiqi ◽  
Ramakrishnan Swaminathan
Keyword(s):  
Computational Model ◽  
Tibialis Anterior ◽  
Pennation Angle ◽  
Surface Electromyogram
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