iglu

iglu computes metrics from Continuous Glucose Monitor (CGM) data to quantify glucose control and variability.


Key Features:

  • Comprehensive Metrics: iglu calculates an extensive set of CGM-derived metrics to assess glucose control and variability.
  • Visualization Tools: iglu produces time-series plots and lasagna plots to visualize temporal CGM patterns and trends.

Scientific Applications:

  • Research and Clinical Analysis: Enables analysis of CGM data for research studies and clinical assessment of glycemic patterns.
  • Diabetes Management Evaluation: Provides quantitative measures of glycemic control and variability to inform diabetes management strategies.

Methodology:

Calculates CGM-derived metrics that quantify glucose levels, control, and variability, and generates time-series and lasagna plot visualizations.

Topics

Details

Tool Type:
library
Programming Languages:
R
Added:
1/18/2021
Last Updated:
2/3/2021

Operations

Publications

Broll S, Urbanek J, Buchanan D, Chun E, Muschelli J, Punjabi N, Gaynanova I. Interpreting blood GLUcose data with R package iglu. Unknown Journal. 2020. doi:10.1101/2020.09.28.310482.

Links