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Copy pathConvertBVP2HR.py
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ConvertBVP2HR.py
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from biosppy import storage
from biosppy.signals import bvp
import numpy as np
import pandas as pd
def extract(subject):
# rest phase bvp
signal, mdata = storage.load_txt('./data/bvp_' + subject + '_T1.csv')
bvp_rate = bvp.bvp(signal=signal, sampling_rate=64, show=False)
hr1 = bvp_rate[4]
# speech phase bvp
signal, mdata = storage.load_txt('./data/bvp_' + subject + '_T2.csv')
bvp_rate = bvp.bvp(signal=signal, sampling_rate=64, show=False)
hr2 = bvp_rate[4]
# arithmetic phase bvp
signal, mdata = storage.load_txt('./data/bvp_' + subject + '_T3.csv')
bvp_rate = bvp.bvp(signal=signal, sampling_rate=64, show=False)
hr3 = bvp_rate[4]
hr = np.concatenate((hr1, hr2, hr3), axis=None)
# rest phase eda
with open('./data/eda_' + subject + '_T1.csv') as file_name:
eda1 = np.loadtxt(file_name, delimiter=",")
# speech phase eda
with open('./data/eda_' + subject + '_T2.csv') as file_name:
eda2 = np.loadtxt(file_name, delimiter=",")
# arithmetic phase eda
with open('./data/eda_' + subject + '_T3.csv') as file_name:
eda3 = np.loadtxt(file_name, delimiter=",")
eda = np.concatenate((eda1, eda2, eda3), axis=None)
df = pd.DataFrame({'eda':eda, 'metric':0})
with open('./data/selfReportedAnx_' + subject + '.csv') as file_name:
metric = np.loadtxt(file_name, delimiter=",")
metric = metric[0][1]
df['metric'][len(eda1):] = metric
# export
np.savetxt(subject + '_hr.csv', hr, delimiter=',')
df.to_csv(subject + '_eda.csv', index = False)
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