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.