def get_pulseox_data(self):
pulseOxData = hp.get_data(self.filename, column_name='ps_waveform')
return pulseOxData
import numpy as np
from PyEMD import EMD, Visualisation
# data1 = hp.get_data('../assets/testing/finalFilteredPPG.csv', column_name='ppg_1')
# data2 = hp.get_data('../assets/testing/finalFilteredPPG.csv', column_name='ppg_2')
# data3 = hp.get_data('../assets/testing/finalFilteredPPG.csv', column_name='ppg_3')
# data1 = hp.get_data('../assets/testing/outputBreathFinal.csv', column_name='ppg_1')
# data2 = hp.get_data('../assets/testing/outputBreathFinal.csv', column_name='ppg_2')
# data3 = hp.get_data('../assets/testing/outputBreathFinal.csv', column_name='ppg_3')
# data1 = hp.get_data('../assets/testing/finalPPG.csv', column_name='ppg_1')
# data2 = hp.get_data('../assets/testing/finalPPG.csv', column_name='ppg_2')
# data3 = hp.get_data('../assets/testing/finalPPG.csv', column_name='ppg_3')
data1 = hp.get_data('../assets/testing/holdingPPG.csv', column_name='ppg_1')
data2 = hp.get_data('../assets/testing/holdingPPG.csv', column_name='ppg_2')
data3 = hp.get_data('../assets/testing/holdingPPG.csv', column_name='ppg_3')
# data = hp.get_data('data/bidmc_01_Signals.csv', column_name='V')
def fixData(fix):
fixed = np.asarray(fix)
mean = np.mean(fixed)
return np.subtract(fixed, mean)
data_1 = fixData(data1)
data_2 = fixData(data2)
data_3 = fixData(data3)
def get_cam_data_green(self):
camData = hp.get_data(self.filename, column_name='cam_waveform_green')
return camData
import heartpy as hp
import matplotlib.pyplot as plt
from scipy.signal import butter, lfilter
from scipy.signal import find_peaks
import numpy as np
data1 = hp.get_data('data/MuseData/finalFilteredPPG.csv', column_name='ppg_1')
data2 = hp.get_data('data/MuseData/finalFilteredPPG.csv', column_name='ppg_2')
data3 = hp.get_data('data/MuseData/finalFilteredPPG.csv', column_name='ppg_3')
# data1 = hp.get_data('data/MuseData/outputBreathFinal.csv', column_name='ppg_1')
# data2 = hp.get_data('data/MuseData/outputBreathFinal.csv', column_name='ppg_2')
# data3 = hp.get_data('data/MuseData/outputBreathFinal.csv', column_name='ppg_3')
# data = hp.get_data('data/bidmc_01_Signals.csv', column_name='V')
def fixData(fix):
fixed = np.asarray(fix)
mean = np.mean(fixed)
return np.subtract(fixed, mean)
data_1 = fixData(data1)
data_2 = fixData(data2)
data_3 = fixData(data3)
def butter_bandpass(lowcut, highcut, fs, order=5):
nyq = 0.5 * fs
low = lowcut / nyq