Small misc changes
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config.yaml
36
config.yaml
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@ -3,7 +3,7 @@
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########################################################################################################################
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# See https://www.rapids.science/latest/setup/configuration/#participant-files
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PIDS: [p01] #p01, p02, p03]
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PIDS: [p02, p03] #p01, p02, p03]
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# See https://www.rapids.science/latest/setup/configuration/#automatic-creation-of-participant-files
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CREATE_PARTICIPANT_FILES:
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@ -484,18 +484,11 @@ EMPATICA_ACCELEROMETER:
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FEATURES: ["maxmagnitude", "minmagnitude", "avgmagnitude", "medianmagnitude", "stdmagnitude"]
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SRC_SCRIPT: src/features/empatica_accelerometer/dbdp/main.py
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CR:
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COMPUTE: False
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FEATURES: ["fqHighestPeakFreqs", "fqHighestPeaks", "fqEnergyFeat", "fqEntropyFeat", "fqHistogramBins","fqAbsMean", "fqSkewness", "fqKurtosis", "fqInterquart", # Freq features
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"meanLow", "areaLow", "totalAbsoluteAreaBand", "totalMagnitudeBand", "entropyBand", "skewnessBand", "kurtosisBand",
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"postureDistanceLow", "absoluteMeanBand", "absoluteAreaBand", "quartilesBand", "interQuartileRangeBand", "varianceBand",
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"coefficientOfVariationBand", "amplitudeBand", "totalEnergyBand", "dominantFrequencyEnergyBand", "meanCrossingRateBand",
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"correlationBand", "quartilesMagnitudesBand", "interQuartileRangeMagnitudesBand", "areaUnderAccelerationMagnitude",
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"peaksDataLow", "sumPerComponentBand", "velocityBand", "meanKineticEnergyBand", "totalKineticEnergyBand", "squareSumOfComponent",
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"sumOfSquareComponents", "averageVectorLength", "averageVectorLengthPower", "rollAvgLow", "pitchAvgLow", "rollStdDevLow",
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"pitchStdDevLow", "rollMotionAmountLow", "rollMotionRegularityLow", "manipulationLow", "rollPeaks", "pitchPeaks", "rollPitchCorrelation"] # Acc features
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COMPUTE: True
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FEATURES: ["totalMagnitudeBand", "absoluteMeanBand", "varianceBand"] # Acc features
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WINDOWS:
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COMPUTE: True
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WINDOW_LENGTH: 10 # specify window length in seconds
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WINDOW_LENGTH: 15 # specify window length in seconds
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SECOND_ORDER_FEATURES: ['mean', 'median', 'sd', 'max', 'min']
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SRC_SCRIPT: src/features/empatica_accelerometer/cr/main.py
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@ -518,15 +511,12 @@ EMPATICA_TEMPERATURE:
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FEATURES: ["maxtemp", "mintemp", "avgtemp", "mediantemp", "modetemp", "stdtemp", "diffmaxmodetemp", "diffminmodetemp", "entropytemp"]
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SRC_SCRIPT: src/features/empatica_temperature/dbdp/main.py
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CR:
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COMPUTE: False
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FEATURES: ["autocorrelations", "countAboveMean", "countBelowMean", "maximum", "minimum", "meanAbsChange", "longestStrikeAboveMean",
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"longestStrikeBelowMean", "stdDev", "median", "meanChange", "numberOfZeroCrossings", "absEnergy", "linearTrendSlope",
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"ratioBeyondRSigma", "binnedEntropy", "numOfPeaksAutocorr", "numberOfZeroCrossingsAutocorr", "areaAutocorr",
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"calcMeanCrossingRateAutocorr", "countAboveMeanAutocorr", "sumPer", "sumSquared", "squareSumOfComponent",
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"sumOfSquareComponents"]
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COMPUTE: True
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FEATURES: ["countAboveMean", "countBelowMean", "maximum", "minimum", "meanAbsChange", "longestStrikeAboveMean", "longestStrikeBelowMean",
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"stdDev", "median", "meanChange", "sumSquared", "squareSumOfComponent", "sumOfSquareComponents"]
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WINDOWS:
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COMPUTE: True
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WINDOW_LENGTH: 600 # specify window length in seconds
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WINDOW_LENGTH: 300 # specify window length in seconds
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SECOND_ORDER_FEATURES: ['mean', 'median', 'sd', 'max', 'min']
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SRC_SCRIPT: src/features/empatica_temperature/cr/main.py
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@ -539,15 +529,15 @@ EMPATICA_ELECTRODERMAL_ACTIVITY:
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FEATURES: ["maxeda", "mineda", "avgeda", "medianeda", "modeeda", "stdeda", "diffmaxmodeeda", "diffminmodeeda", "entropyeda"]
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SRC_SCRIPT: src/features/empatica_electrodermal_activity/dbdp/main.py
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CR:
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COMPUTE: False
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COMPUTE: True
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FEATURES: ['mean', 'std', 'q25', 'q75', 'qd', 'deriv', 'power', 'numPeaks', 'ratePeaks', 'powerPeaks', 'sumPosDeriv', 'propPosDeriv', 'derivTonic',
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'sigTonicDifference', 'freqFeats','maxPeakAmplitudeChangeBefore', 'maxPeakAmplitudeChangeAfter', 'avgPeakAmplitudeChangeBefore',
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'avgPeakAmplitudeChangeAfter', 'avgPeakChangeRatio', 'maxPeakIncreaseTime', 'maxPeakDecreaseTime', 'maxPeakDuration', 'maxPeakChangeRatio',
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'avgPeakIncreaseTime', 'avgPeakDecreaseTime', 'avgPeakDuration', 'maxPeakResponseSlopeBefore', 'maxPeakResponseSlopeAfter',
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'signalOverallChange', 'changeDuration', 'changeRate', 'significantIncrease', 'significantDecrease']
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'avgPeakIncreaseTime', 'avgPeakDecreaseTime', 'avgPeakDuration', 'signalOverallChange', 'changeDuration', 'changeRate', 'significantIncrease',
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'significantDecrease']
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WINDOWS:
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COMPUTE: True
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WINDOW_LENGTH: 300 # specify window length in seconds
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WINDOW_LENGTH: 60 # specify window length in seconds
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SECOND_ORDER_FEATURES: ['mean', 'median', 'sd', 'max', 'min']
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SRC_SCRIPT: src/features/empatica_electrodermal_activity/cr/main.py
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@ -560,7 +550,7 @@ EMPATICA_BLOOD_VOLUME_PULSE:
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FEATURES: ["maxbvp", "minbvp", "avgbvp", "medianbvp", "modebvp", "stdbvp", "diffmaxmodebvp", "diffminmodebvp", "entropybvp"]
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SRC_SCRIPT: src/features/empatica_blood_volume_pulse/dbdp/main.py
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CR:
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COMPUTE: False
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COMPUTE: True
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FEATURES: ['meanHr', 'ibi', 'sdnn', 'sdsd', 'rmssd', 'pnn20', 'pnn50', 'sd', 'sd2', 'sd1/sd2', 'numRR', # Time features
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'VLF', 'LF', 'LFnorm', 'HF', 'HFnorm', 'LF/HF', 'fullIntegral'] # Freq features
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WINDOWS:
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@ -15,9 +15,6 @@ local({
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Sys.setenv("RENV_R_INITIALIZING" = "true")
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on.exit(Sys.unsetenv("RENV_R_INITIALIZING"), add = TRUE)
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if(grepl("Darwin", Sys.info()["sysname"], fixed = TRUE) & grepl("ARM64", Sys.info()["version"], fixed = TRUE)) # M1 Macs
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Sys.setenv("TZDIR" = file.path(R.home(), "share", "zoneinfo"))
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# signal that we've consented to use renv
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options(renv.consent = TRUE)
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@ -0,0 +1,18 @@
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import pandas as pd
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import seaborn as sns
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import matplotlib.pyplot as plt
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# path = "/rapids/data/processed/features/all_participants/all_sensor_features.csv" # all features all participants
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# path = "/rapids/data/interim/p03/empatica_accelerometer_features/empatica_accelerometer_python_cr_windows.csv"
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path = "/rapids/data/interim/p02/empatica_electrodermal_activity_features/empatica_electrodermal_activity_python_cr_windows.csv"
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# path = "/rapids/data/interim/p02/empatica_inter_beat_interval_features/empatica_inter_beat_interval_python_cr_windows.csv"
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# path = "/rapids/data/interim/p02/empatica_blood_volume_pulse_features/empatica_blood_volume_pulse_python_cr_windows.csv"
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# path = "/rapids/data/interim/p02/empatica_temperature_features/empatica_temperature_python_cr_windows.csv"
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df = pd.read_csv(path)
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print(df)
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sns.heatmap(df.isna(), cbar=False)
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plt.savefig('eda_windows_p02_window_60_more_peaks.png', bbox_inches='tight')
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