ArticleSensors (Basel, Switzerland)2019
Microcontroller Implementation of Support Vector Machine for Detecting Blood Glucose Levels Using Breath Volatile Organic Compounds.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Hypoglycaemia detection and prediction techniques: A systematic review on the latest developments.Diabetes/metabolism research and reviews · 2021Pooled it
- First-principles study of diabetes-associated VOCs detection from breath using nitride nanotubes.RSC advances · 2026Article
- Photonic biosensors based on nanoparticle superstructures: from data analysis to artificial intelligence (AI) detection.Fundamental research · 2026Review
- The exhaled breath pattern as a potential method for biometrics identification.Scientific reports · 2025Article
- Improving the Accuracy of a Wearable Uroflowmeter for Incontinence Monitoring Under Dynamic Conditions: Leveraging Machine Learning Methods.Biosensors · 2025Article
- At-Home Breath Data Collection for Signatures of Type 2 Diabetes: A Pilot Clinical Study.Biosensors · 2025Article
- AI-Assisted Detection of Biomarkers by Sensors and Biosensors for Early Diagnosis and Monitoring.Biosensors · 2024Review
- Recent Trends of Bioanalytical Sensors with Smart Health Monitoring Systems: From Materials to Applications.Advanced healthcare materials · 2024Review
- Machine Learning Algorithms for Processing and Classifying Unsegmented Phonocardiographic Signals: An Efficient Edge Computing Solution Suitable for Wearable Devices.Sensors (Basel, Switzerland) · 2024Article
- Screen-Printed Textile-Based Electrochemical Biosensor for Noninvasive Monitoring of Glucose in Sweat.Biosensors · 2023Article
- Research progress of electronic nose technology in exhaled breath disease analysis.Microsystems & nanoengineering · 2023Review
- Wearable chemical sensors for biomarker discovery in the omics era.Nature reviews. Chemistry · 2022Review
- Exhaled Breath Analysis for Diabetes Diagnosis and Monitoring: Relevance, Challenges and Possibilities.Biosensors · 2021Review
- Glucose Concentration Measurement in Human Blood Plasma Solutions with Microwave Sensors.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
This paper presents an embedded system-based solution for sensor arrays to estimate blood glucose levels from volatile organic compounds (VOCs) in a patient's breath. Support vector machine (SVM) was trained on a general-purpose computer using an existing SVM library. A training model, optimized to achieve the most accurate results, was implemented in a microcontroller with an ATMega microprocessor. Training and testing was conducted using artificial breath that mimics known VOC footprints of high and low blood glucose levels. The embedded solution was able to correctly categorize the corresponding glucose levels of the artificial breath samples with 97.1% accuracy. The presented results make a significant contribution toward the development of a portable device for detecting blood glucose levels from a patient's breath.
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Registered trials
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