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Current development in non-invasive glucose monitoring
Abstract
Painless control of blood glycemic levels could improve life quality of diabetes patients, enabling a better regulation of hyper- and hypoglycaemia episodes and thereby avoiding physiological complications. Although research groups have been trying for decades to separate non-invasive glucose information from interference compounds, none of the available commercial devices offers enough precision to replace lancet approaches. Many reviews have already been published on this topic, but the great amount of information available and the fast development of technologies require a continuous update in the research status. Besides the description of current in-vivo methods and the analysis of devices available commercially, one also explains treatment algorithms useful for multivariate analysis.
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“Almost all invasive sensing devices are characterized by infection risks, discomfort, and analytical response issues related to the foreign body response (FBR).29–30”
From Biocompatible Materials for Continuous Glucose Monitoring Devices (2013) · cites this paper as [29]
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“Additionally, sweating, often associated with hypoglycemia, affects the rate of extraction of glucose and therefore causes erroneous results when readings must be most accurate.29–30”
From Biocompatible Materials for Continuous Glucose Monitoring Devices (2013) · cites this paper as [29]
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Metadata
- Authors
- Ferrante do Amaral, C. E., & Wolf, B.
- Affiliations
- Technical University of Munich (DE)
- Venue
- Medical Engineering & Physics
- Publisher
- IOP Publishing
- Published
- 2007-10-18
- Volume
- 30
- Issue
- 5
- Pages
- 541-549
- ISSN
- 1350-4533 (ISSN-L)
- 1873-4030
- OpenAlex
- W1975209404
- Cited by
- 269
- References
- 73
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 11 · 2023: 16 · 2022: 18 · 2021: 19 · 2020: 16 · 2019: 19 · 2018: 18 · 2017: 25 · 2016: 20 · 2015: 17 · 2014: 12 · 2013: 14 · 2012: 17
- FWCI
- 0.62
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Medical Engineering & Physics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Deutscher Akademischer Austauschdienst
- Heinz Nixdorf Stiftung
- U.S. Food and Drug Administration
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Keywords
- non-invasive glucose monitoring, diabetes mellitus, glycemic control, hypoglycemia, hyperglycemia, multivariate analysis, treatment algorithm
- MeSH terms
- Blood Glucose, Humans, Monitoring, Physiologic, Physics, Spectrum Analysis, Physical Phenomena
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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