Skip to main content

Table 1 Non-exhaustive compilation of myoelectric signal features employed in pattern recognition for prosthetic control

From: BioPatRec: A modular research platform for the control of artificial limbs based on pattern recognition algorithms

 

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

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

Source Code for Biology and Medicine

ISSN: 1751-0473