Research Topic · Peer-Reviewed

Continuous Glucose Monitoring

Continuous glucose monitoring (CGM) is a measurement approach that tracks glucose concentrations repeatedly and automatically over extended periods, providing a near-continuous record of glycaemic dynamics rather than the isolated values obtained from intermittent fingerstick testing. Conventional CGM systems use a …

Curated from this journal's research 📚 7 peer-reviewed articles cited Cited 117× across the literature 🔖 ISSN 2374-9431 🗓 Reviewed July 2026

Overview

Continuous glucose monitoring (CGM) is a measurement approach that tracks glucose concentrations repeatedly and automatically over extended periods, providing a near-continuous record of glycaemic dynamics rather than the isolated values obtained from intermittent fingerstick testing. Conventional CGM systems use a minimally invasive subcutaneous sensor that detects glucose in interstitial fluid, typically through an enzymatic electrochemical reaction, and report frequent readings together with trend direction and rate of change. This temporal resolution reveals postprandial excursions, nocturnal patterns, and hypo- and hyperglycaemic episodes that single-point testing may miss, supporting more individualised management of diabetes. A major and active research direction is non-invasive glucose measurement, which seeks to estimate blood glucose without skin penetration by exploiting optical, spectroscopic, or model-based methods and by calibrating physiological signals against reference values; such work is especially relevant for non-insulin-dependent populations and for improving comfort and adherence. Methodological themes include sensor accuracy and calibration, the lag between interstitial and blood glucose, signal processing, and the construction of predictive models. Beyond clinical care, continuous monitoring is being explored in athletic and metabolic-physiology settings to study how nutrition, exercise, and stress influence glucose regulation. The field connects sensor engineering, biomedical modelling, and diabetes care to deliver richer, actionable glycaemic information.

Research published in this journal

7 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 7 articles above have been cited 117 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Continuous Glucose Monitoring, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Bioinformatics And Diabetes (ISSN 2374-9431).

Journal editorial board
Wei Wang · United States Chol Hee Jung · Australia Emile Chimusa · United Kingdom

This page summarises published research for orientation; it is not medical or professional advice.