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. 2013 Apr 18;8:11. doi: 10.1186/1751-0473-8-11

Table 1.

Non-exhaustive compilation of myoelectric signal features employed in pattern recognition for prosthetic control

 
Publication references
  [6,14,17-25] [26] [27] [7] [5,28] [29] [30] [31] [32] [33] [34,35] [36] [37] [38] BioPatRec*
Mean absolute value
x
x
x
x
x
x
x
x
x
x
x
 
 
 
x
Zero crossing
x
x
x
x
x
x
x
 
 
 
 
 
 
 
x
Slope sign changes
x
x
 
x
x
x
x
 
 
 
 
 
 
 
x
Waveform length
x
x
x
x
x
x
x
x
 
x
 
 
 
 
x
Mean abs. value slope
 
x
x
 
 
 
 
 
 
 
 
 
 
 
x
Root-mean square
 
 
 
x
x
x
 
x
x
 
 
x
 
 
x
Variance
 
 
 
x
 
 
 
x
 
 
 
 
 
 
x
William amplitude
 
 
 
x
 
 
 
 
 
 
 
 
 
 
 
Wavelet transf.
 
 
x
 
 
 
 
 
 
 
 
 
 
 
 
Wavelet packet transf.
 
 
x
 
 
 
 
 
 
 
 
 
 
 
 
Fourier transf.
 
 
x
 
 
 
 
 
 
 
 
 
 
 
x
Autoregression coeff.
 
 
 
 
x
 
x
 
 
 
 
 
 
 
 
Integral abs. value
 
 
 
 
 
x
 
 
 
 
 
 
 
 
 
Sample skewness
 
 
 
 
 
x
 
 
 
 
 
 
 
 
 
Fractal dimension
 
 
 
 
 
 
 
x
 
 
 
 
 
 
x
Max. fractal length
 
 
 
 
 
 
 
x
 
 
 
 
 
 
x
Quadratic polynomials
 
 
 
 
 
 
 
 
 
 
 
 
x
 
 
Rough Entropy                           x x

* Non-exhaustive list of features included in the “ETT” release. See the online project for all features [15].