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Detection and Description of Episodes of Continuous Glucose Monitoring (CGM) Hypoglycaemia

Source: R/cgmFunctions.R
sdhDetection.Rd

Function which summarises raw CGM data and produces an output which includes key characteristics (e.g nadir, duration) of each CGM-detected hypoglycaemic episode.

Usage

sdhDetection(
  DataFrame,
  DetectionLimit = 3.9,
  DetectionDuration = 15,
  AddSleepStatus = "no"
)

Arguments

DataFrame

A dataframe with CGM data in which hypoglycaemic episodes will be detected. Must have columns id, cgm_timestamp, glucose.

DetectionLimit

Object of type numeric or integer corresponding to the glucose value used to detect hypoglycaemia. Default is 3.9 mmol/L.

DetectionDuration

Object of type numeric or integer corresponding to the duration at or below the DetectionLimit for a hypolgycaemic episode to be detected. Default is 15 (minutes).

AddSleepStatus

A character object specifying whether sleep status (sleep or awake) should be added for each SDH. Default is "no". Other option is "yes".

Value

A dataframe with one hypoglycaemic episode per row with characteristics in each column. If user has CGM and sleep data available, the sleep status can be added for each episode.

Examples

if (FALSE) { # \dontrun{
hypometrics::sdhDetection(DataFrame,
                          DetectionLimit = 3,
                          DetectionDuration = 30,
                          AddSleepStatus = "no")
} # }