AGATA

# Processing

# retimeGlucose

function dataRetimed = retimeGlucose(data, timestep)

Function that retimes the given data timetable to a
new timetable with homogeneous timestep. It puts nans where glucose datapoints are missing and it uses mean to solve conflicts (i.e., when two glucose datapoints have the same retimed timestamp.

# Inputs

  • data: timetable (required)
    A timetable with columns Time and glucose containing the glucose data to analyze (mg/dl);
  • timestep: integer (required)
    An integer defining the timestep to use in the new timetable.

# Output

  • dataRetimed: timetable
    The retimed timetable with columns Time and glucose.

# Preconditions

  • data must be a timetable;
  • data must contain a column named Time and another named glucose;
  • timestep must be an integer.

# Reference

  • None

# imputeGlucose

function dataImputed = imputeGlucose(data, maxGap)

Function that imputes missing glucose data using linear interpolation. The function imputes only missing data gaps of maximum maxGap minutes. Gaps longer than maxGap minutes are ignored.

# Inputs

  • data: timetable (required)
    A timetable with columns Time and glucose containing the glucose data to analyze (mg/dl);
  • maxGap: integer (required)
    An integer defining the maximum interpol-able missing data gaps (min).

# Output

  • dataImputed: timetable
    The imputed timetable with columns Time and glucose.

# Preconditions

  • data must be a timetable having an homogeneous time grid;
  • data must contain a column named Time and another named glucose;
  • maxGap must be an integer.

# Reference

  • None

# detrendGlucose

function dataDetrended = detrendGlucose(data)

Function that detrends glucose data. To do that, the function computes the slope of the immaginary line that "links" the first and last glucose datapoints in the timeseries, then it "flatten" the entire timeseries according to that slope.

# Input

  • data: timetable (required)
    A timetable with columns Time and glucose containing the glucose data to analyze (mg/dl).

# Output

  • detrendGlucose: timetable
    The detrended timetable with columns Time and glucose.

# Preconditions

  • data must be a timetable having an homogeneous time grid;
  • data must contain a column named Time and another named glucose;
  • maxGap must be an integer.

# Reference

  • None

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