Sample 02

This examples computes the three most basic standard SQIs (kurtosis, skewness and entropy). In addition, it shows the code and explains it in different sections. This is similar to jupyter notebook. It is just an example.

Warning

The dtw module seems to be loaded even though we are not really using it. Instead, load it only when required.

Main

First, lets import the required libraries

 # Libraries generic
 import numpy as np
 import pandas as pd

 # Libraries specific
 from vital_sqi.sqi.standard_sqi import perfusion_sqi
 from vital_sqi.sqi.standard_sqi import kurtosis_sqi
 from vital_sqi.sqi.standard_sqi import skewness_sqi
 from vital_sqi.sqi.standard_sqi import entropy_sqi
 from vital_sqi.sqi.standard_sqi import signal_to_noise_sqi

Lets create the sinusoide

 # Create samples
 x = np.linspace(-10*np.pi, 10*np.pi, 201)

 # Create signal
 signal = np.sin(x)

Lets compute the SQIs

 # Loop computing sqis
 k = kurtosis_sqi(signal)
 s = skewness_sqi(signal)
 e = entropy_sqi(signal)

Lets display the result

 # Create Series
 result = pd.Series(
     data=[k, s, e],
     index=['kurtosis', 'skewness', 'entropy']
 )

 # Show
 print("\nResult:")
 print(result)

Out:

Result:
kurtosis   -1.492500e+00
skewness   -1.605493e-16
entropy     4.997679e+00
dtype: float64

Plot

Lets plot something so it shows a thumbicon

 # ---------------
 # Create plot
 # ---------------
 # Library
 import matplotlib.pyplot as plt

 # Plot
 plt.plot(x, signal)

 # Show
 plt.show()