Multisignal Wavelet Transform-Based Feature Etxraction
getwtfeat is a feature extraction algorithm for any kind of signals, although this was mainly developed for myoelectric, a.k.a, Electromyogram (EMG), signal feature extraction for prostheses control. The algorithm employs the coefficients of the wavelet transform to extract few features including:
- 1 energy features,
- 2 Variance and std features
- 1 waveform length fetaure
- 1 entropy feature
You will need to specify the window size, window increment, and the sampling frequency.
As this is a matlab function (adding a python version soon), then usage is really simple, just call this function by submitting the signals matrix (denoted as variable x) as input
feat = getmswtfeat(x,winsize,wininc,samplingFreq)
Inputs
x columns of signals (rows are samples and column are the signals).
winsize window size.
wininc how much to slid the windows by.
SF sampling frequency in Hz.
Outputs
feat extracted wavelet features from all nodes/signals