ReviewSensors (Basel, Switzerland)2022
Noninvasive Blood Glucose Monitoring Systems Using Near-Infrared Technology-A Review.
Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed.
- Article
- Non-Invasive Technologies in Wearable Glucose Monitoring: A Structured Overview for the Future.Biosensors · 2026Review
- Seedless One-Pot Synthesis of Colloidal InAs Quantum Dots Enabling a High-Accuracy Photoplethysmography Oximeter.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Flexible wearable medical devices: from material innovations and data processing to intelligent healthcare applications.Journal of advanced research · 2026Review
- A Single-Wavelength Near-Infrared Photoacoustic Spectroscopy for Noninvasive Glucose Detection Using Machine Learning.Bioengineering (Basel, Switzerland) · 2026Article
- Photoacoustic Noninvasive Blood Glucose Monitoring: A Review of Systems and Strategies for Robust Glucose Concentration Estimation, with Perspectives on Miniaturization and Wearability.Sensors (Basel, Switzerland) · 2026Review
- Design of a microwave sensor for non-invasive monitoring of blood glucose level with high sensitivity using electromagnetic properties.Scientific reports · 2026Article
- Dynamic Changes in Exhaled Breath Glucose by Condensate Collection During Oral Glucose Tolerance Testing in Healthy Adults.Medical devices (Auckland, N.Z.) · 2026Article
- Advancing Diabetic Care Through Non-Invasive Glucose Monitoring Using Optical Sensors and IoT Technologies.F1000Research · 2026Article
- A Linear and High-Sensitivity Microwave Biosensor on a FR-4 Substrate for Aqueous Glucose Monitoring Using a Concentric Square-Shaped Split-Ring Resonator.Sensors (Basel, Switzerland) · 2025Article
- Improving non-invasive glucose estimation with monthly calibrated photoplethysmography and implicit HbA1c.Communications medicine · 2025Article
- Noninvasive subterahertz glucose monitoring using a communication inspired eye diagram.Scientific reports · 2025Article
- Evaluation of the accuracy, precision, and agreement of a glucometer compared to the standard laboratory test in diabetic and non-diabetic patients.Scientific reports · 2025Article
- Clinical validation of noninvasive blood glucose measurements by midinfrared spectroscopy.Communications medicine · 2025Article
- A Feasibility Study on Noninvasive Blood Glucose Estimation Using Machine Learning Analysis of Near-Infrared Spectroscopy Data.Biosensors · 2025Article
- Noninvasive Continuous Glucose Monitoring Using Multimodal Near-Infrared, Temperature, and Pressure Signals on the Earlobe.Biosensors · 2025Article
- A Review on Optical Biosensors for Monitoring of Uric Acid and Blood Glucose Using Portable POCT Devices: Status, Challenges, and Future Horizons.Biosensors · 2025Review
- Development of Single-Walled Carbon Nanotube-Based Electrodes with Enhanced Dispersion and Electrochemical Properties for Blood Glucose Monitoring.Biosensors · 2024Article
- Performance of a Non-Invasive System for Monitoring Blood Glucose Levels Based on Near-Infrared Spectroscopy Technology (Sensors (Basel, Switzerland) · 2024Article
- NIR-Based Electronic Platform for Glucose Monitoring for the Prevention and Control of Diabetes Mellitus.Sensors (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The past few decades have seen ongoing development of continuous glucose monitoring (CGM) systems that are noninvasive and accurately measure blood glucose levels. The conventional finger-prick method, though accurate, is not feasible for use multiple times a day, as it is painful and test strips are expensive. Although minimally invasive and noninvasive CGM systems have been introduced into the market, they are expensive and require finger-prick calibrations. As the diabetes trend is high in low- and middle-income countries, a cost-effective and easy-to-use noninvasive glucose monitoring device is the need of the hour. This review paper briefly discusses the noninvasive glucose measuring technologies and their related research work. The technologies discussed are optical, transdermal, and enzymatic. The paper focuses on Near Infrared (NIR) technology and NIR Photoplethysmography (PPG) for blood glucose prediction. Feature extraction from PPG signals and glucose prediction with machine learning methods are discussed. The review concludes with key points and insights for future development of PPG NIR-based blood glucose monitoring systems.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.