Added DBP,MBP,SBP,PP at each outlet
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20
functions.py
20
functions.py
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@ -7,6 +7,7 @@ from tkinter import Tk
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from tkinter.filedialog import askopenfilename, asksaveasfile, askdirectory
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from tkinter.filedialog import askopenfilename, asksaveasfile, askdirectory
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import pandas as pd
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import pandas as pd
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import tkinter as tk
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import tkinter as tk
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from statistics import mean
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from scipy.signal import find_peaks
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from scipy.signal import find_peaks
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@ -81,15 +82,30 @@ def pressure(folder,N_ts,T_cyc,dt,n_cyc):
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Nc = round(T_cyc/dt)
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Nc = round(T_cyc/dt)
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time = np.linspace(0,T_cyc,Nc)
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time = np.linspace(0,T_cyc,Nc)
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fig, ax = plt.subplots()
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fig, ax = plt.subplots()
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# SBP = []
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# DBP = []
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# MBP = []
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SBP = np.empty(pressure.shape[1])
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DBP = np.empty(pressure.shape[1])
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MBP = np.empty(pressure.shape[1])
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for i in range(0,pressure.shape[1]):
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for i in range(0,pressure.shape[1]):
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ax.plot(time,pressure[N_ts-Nc:N_ts,-i]/1333.22,label='ROI-'+str(i+2))
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ax.plot(time,pressure[N_ts-Nc:N_ts,i]/1333.22,label='ROI-'+str(i+2))
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# SBP.append(np.amax(pressure[N_ts-Nc:N_ts,i]/1333.22))
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# DBP.append(np.amin(pressure[N_ts-Nc:N_ts,i]/1333.22))
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# MBP.append(mean(pressure[N_ts-Nc:N_ts,i]/1333.22))
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SBP[i] = (np.amax(pressure[N_ts-Nc:N_ts,i]/1333.22))
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DBP[i] = (np.amin(pressure[N_ts-Nc:N_ts,i]/1333.22))
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MBP[i] = (mean(pressure[N_ts-Nc:N_ts,i]/1333.22))
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PP = SBP-DBP
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ax.set(xlabel='time [s]', ylabel='Pressure [mmHg]',
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ax.set(xlabel='time [s]', ylabel='Pressure [mmHg]',
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title='Pressure @ each outlet')
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title='Pressure @ each outlet')
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ax.spines['right'].set_visible(False)
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ax.spines['right'].set_visible(False)
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ax.spines['top'].set_visible(False)
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ax.spines['top'].set_visible(False)
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ax.legend(loc=0)
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ax.legend(loc=0)
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plt.show()
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plt.show()
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return (DBP,MBP,SBP,PP)
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