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EMG Feature Extraction Toolbox

version 1.1.1 (7.9 KB) by Jingwei Too
This toolbox offers 17 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC ...) for Electromyography (EMG) signals applications.

49 Downloads

Updated 01 Aug 2019

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This toolbox offers 17 types of EMG features
(1) Enhanced Mean absolute value (EMAV)
(2) Enhanced Wavelength (EWL)
(3) Mean Absolute Value (MAV)
(4) Slope Sign Change (SSC)
(5) Zero Crossing (ZC)
(6) Waveform Length (WL)
(7) Root Mean Square (RMS)
(8) Average Amplitude Change (AAC)
(9) Difference Absolute Standard Deviation Value (DASDV)
(10) Log Detector (LD)
(11) Modified Mean Absolute Value (MMAV)
(12) Modified Mean Absolute Value 2 (MMAV2)
(13) Myopulse Percentage Rate (MYOP)
(14) Simple Square Integral (SSI)
(15) Variance of EMG (VAR)
(16) Willison Amplitude (WA)
(17) Maximum Fractal Length (MFL)

The "Main" demos how the feature extraction methods can be applied by using the generated sample signal.

References:
[1] J. Too, A. R. Abdullah, N. Mohd Saad, and W. Tee, “EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization,” Computation, vol. 7, no. 1, 2019.
[2] J. Too, A. R. Abdullah, and N. Mohd Saad, “Classification of Hand Movements based on Discrete Wavelet Transform and Enhanced Feature Extraction,” Int. J. Adv. Comput. Sci. Appl., vol. 10, no. 6, 2019.

Cite As

Jingwei Too (2019). EMG Feature Extraction Toolbox (https://www.mathworks.com/matlabcentral/fileexchange/71514-emg-feature-extraction-toolbox), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (4)

Jingwei Too

Dear Polo Joachín,

You need to read some related paper before you started. To use it, you need an EMG signal.
In the "main" file, you just replace the "X" with your EMG signal.

How do I use it. I am new.

Jingwei Too

Dear Marcus Schneider, Thank you for the information. I have updated the program.

Unfortunately, the calculation of zero crossings and sign slope changes are wrong.

Updates

1.1.1

Add MFL feature

1.1.0

-

1.0.6

Add paper

1.0.5

-

1.0.4

Add another 10 feature extraction methods

1.0.3

-

1.0.2

(1) The SSC and ZC have been corrected.
(2) Add RMS feature

1.0.1

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MATLAB Release Compatibility
Created with R2018a
Compatible with any release
Platform Compatibility
Windows macOS Linux