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Table 3 Influence of peripheral properties on aMR, eMR and RMS. Linear regression was applied for estimation of the percentage of explained variance (r2) and of the intercept β0 and slope β1. The relation between RMS and thickness of the subcutaneous layer could best be approximated with a logarithmic relation. Nonlinear regression was performed to estimate the coefficients of this relation.

From: Behaviour of motor unit action potential rate, estimated from surface EMG, as a measure of muscle activation level

   aMR (pps) eMR (pps) RMS (a.u.)
   β0 β1 r2 p β0 β1 r2 p β0 β1 r2 p
Number of fibers   62.2 -0.0011 0.11 0.35 41.4 0.0027 0.13 0.31 1.15 0.14 0.96 0.001
Fiber diameter   57.2 0.018 0.046 0.65 37.0 0.048 0.11 0.47 118 4.5 0.97 0.001
Thickness of subcutaneous layer 5 MUs 59.9 0.072 0.038 0.57 42.5 0.24 0.062 0.46 132 -37 0.94 0.001
Thickness of subcutaneous layer 10 MUs 122 -0.36 0.073 0.42 61.3 0.31 0.027 0.63 195 -63 0.98 0.001