24 lines
899 B
Python
24 lines
899 B
Python
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from calculatingfeatures.CalculatingFeatures.helper_functions import convert1DEmpaticaToArray, convertInputInto2d, frequencyFeatureNames, hrvFeatureNames
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from calculatingfeatures.CalculatingFeatures.calculate_features import calculateFeatures
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import pandas as pd
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pathToHrvCsv = "calculatingfeatures/example_data/S2_E4_Data/BVP.csv"
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windowLength = 500
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# get an array of values from HRV empatica file
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hrv_data, startTimeStamp, sampleRate = convert1DEmpaticaToArray(pathToHrvCsv)
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# Convert the HRV data into 2D array
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hrv_data_2D = convertInputInto2d(hrv_data, windowLength)
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# Create a list with feature names
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featureNames = []
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featureNames.extend(hrvFeatureNames)
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featureNames.extend(frequencyFeatureNames)
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pd.set_option('display.max_columns', None)
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# Calculate features
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calculatedFeatures = calculateFeatures(hrv_data_2D, fs=int(sampleRate), featureNames=featureNames)
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print(calculatedFeatures)
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