Advanced Continuous Glucose Monitoring Analysis with High-Performance C++ Backend
Advanced Continuous Glucose Monitoring Analysis and GRID-Based Event D...
Detect All Glycemic Events
Detect Events Between Maxima
Detect Hyperglycemic Events
Detect Hypoglycemic Events
Calculate Glucose Excursions
Find Local Maxima in Glucose Time Series
Find Maximum Glucose After Specified Hours
Find Maximum Glucose Before Specified Hours
Find Minimum Glucose After Specified Hours
Find Minimum Glucose Before Specified Hours
Find New Maxima Around Grid Points
GRID Algorithm for Glycemic Event Detection
Combined Maxima Detection and GRID Analysis
Modified GRID Analysis
Fast Ordering Function
Find Start Points for Event Analysis
Transform Dataframe for Analysis
Tools for advanced analysis of continuous glucose monitoring (CGM) time-series, implementing GRID (Glucose Rate Increase Detector) and GRID-based algorithms for postprandial peak detection, and detection of hypoglycemic and hyperglycemic episodes (Levels 1/2/Extended) aligned with international consensus CGM metrics. Core algorithms are implemented in optimized C++ using 'Rcpp' to provide accurate and fast analysis on large datasets.