Sample 01

This examples computes the three most basic standard SQIs (kurtosis, skewness and entropy). In addition, it shows the code in a one big section. 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.

Out:

Result:
kurtosis   -1.492500e+00
skewness   -1.636973e-16
entropy     4.997679e+00
dtype: float64

# 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

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

# Create signal
signal = np.sin(x)

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

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

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

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

# Plot
plt.plot(x, signal)

# Show
plt.show()