| dc.description.abstract |
Myoelectric prosthetic devices can be controlled by use of surface electromyography
(sEMG). However, intramuscular EMG (iEMG) has been proposed as an alternative, since
it may provide more stable and selective recordings with several advantages. The purpose
of this study was to assess the predictive capabilities of 14 features of iEMG and
sEMG for force ranging from 0 to 100 % maximum voluntary contraction (MVC). Intramuscular
EMG and surface EMG were recorded concurrently from the muscle flexor digitorum profundus
from 11 subjects who exerted four force profiles during power grasping. The predictive
capability of each feature was assessed using the mean R2-value with a 1st order polynomial
(linear prediction). Wilson Amplitude showed the best results for both sEMG (R2 =
0.952 ± 0.007) and iEMG (R2 = 0.948 ± 0.008), with no significant difference (P =
0.658). Application of an advanced model based on artificial neural network did not
improve the performance (P = 0.895). We have concluded that a linear model is sufficient
for force prediction (0-100% MVC), and that iEMG is potentially suitable for proportional
control in the same manner as when using a more global measure of intensity.
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