Unsupervised calibration for noninvasive glucose-monitoring devices using mid-infrared spectroscopy
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Summary
A truly noninvasive, glucose-monitoring technique using mid-infrared spectroscopy that does not require blood collection for calibration is developed by applying domain adaptation (DA) using deep neural networks to train a model that associates blood glucose concentration with mid- Infrared spectral data without requiring a training dataset labeled with invasive blood sample measurements.
- Type
- article
- Published
- 2018-11-01
- Cited by
- 11
- References
- 46
- Access
- Open access
- OpenAlex
- https://openalex.org/W2891858230
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:106209202
Keywords
Calibration, Near-infrared spectroscopy, Blood collection, Spectroscopy, Infrared
References
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- New Methodology to Obtain a Calibration Model for Noninvasive Near-Infrared Blood Glucose Monitoring
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- Modelling, verification, and calibration of a photoacoustics based continuous non-invasive blood glucose monitoring system.
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
- Enhancing calibration models for non-invasive near-infrared spectroscopical blood glucose determination
- Evaluating Clinical Accuracy of Systems for Self-Monitoring of Blood Glucose
- Non-invasive glucose monitoring technology in diabetes management: a review.
- In vivo noninvasive monitoring of glucose concentration in human epidermis by mid-infrared pulsed photoacoustic spectroscopy.
- High-Dimensional Pattern Regression Using Machine Learning: From Medical Images to Continuous Clinical Variables
- Hollow-fiber-based flexible probe for remote measurement of infrared attenuated total reflection.
- The Effect of a Global, Subject, and Device-Specific Model on a Noninvasive Glucose Monitoring Multisensor System
- Noninvasive Blood Glucose Sensing Using Near Infra-Red Spectroscopy and Artificial Neural Networks Based on Inverse Delayed Function Model of Neuron
- Tunable Laser Diode System for Noninvasive Blood Glucose Measurements
- Prospects and limitations of non-invasive blood glucose monitoring using near-infrared spectroscopy
- A novel approach to non-invasive glucose measurement by mid-infrared spectroscopy: The combination of quantum cascade lasers (QCL) and photoacoustic detection
- Polymer-coated hollow fiber for CO(2) laser delivery.
- Development of robust calibration models using support vector machines for spectroscopic monitoring of blood glucose
- Noninvasive Glucose Monitoring: A Novel Approach
- Raman spectroscopy for noninvasive glucose measurements.
Cited by
- Accuracy Improvement of Blood Glucose Measurement System Using Quantum Cascade Lasers
- A Compact Mid-Infrared Spectroscopy System for Healthcare Applications Based on a Wavelength-Swept, Pulsed Quantum Cascade Laser
- Evaluation of Opportunities and Limitations of Mid-Infrared Skin Spectroscopy for Noninvasive Blood Glucose Monitoring
- Non-Invasive Blood Glucose Monitoring Technology: A Review
- Analysis and exploration of heme groups using ATR-FTIR for future health monitoring
- High-speed mid-infrared spectrometer based on wavelength-swept quantum cascade laser using asynchronous-signal method
- RETRACTED: IoMT aware data collective quadratic ensembled cat boost module classification algorithm for non-invasive blood glucose monitoring in VLSI design
- In Vitro Glucose Measurement from NIR and MIR Spectroscopy: Comprehensive Benchmark of Machine Learning and Filtering Chemometrics
- GluMarker: A Novel Predictive Modeling of Glycemic Control Through Digital Biomarkers
- Continuous glucose monitoring: Minimally and non-invasive technologies.
- Noninvasive Analysis of Biological Components Using Simplified Mid-Infrared Photothermal Deflection Spectroscopy
- Proposed process for extracorporeal monitoring and manipulation of circulating molecules in blood for critically ill patients.
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