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Touch-Based Fingertip Blood-Free Reliable Glucose Monitoring: Personalized Data Processing for Predicting Blood Glucose Concentrations
Touch-Based Fingertip Blood-Free Reliable Glucose Monitoring: Personalized Data Processing for Predicting Blood Glucose Concentrations
- Source :
- ACS sensors. 6(5)
- Publication Year :
- 2021
-
Abstract
- Diabetes prevalence has been rising exponentially, increasing the need for reliable noninvasive approaches for glucose monitoring. Different biofluids have been explored recently for replacing current blood finger-stick glucose strips with noninvasive painless sensing devices. While sweat has received considerable attention, there are mixed reports on correlating the sweat results with blood glucose levels. Here, we demonstrate a new rapid and reliable approach that combines a simple touch-based fingertip sweat electrochemical sensor with a new algorithm that addresses for personal variations toward the accurate estimate of blood glucose concentrations. The new painless and simple glucose self-testing protocol leverages the fast sweat rate on the fingertip for rapid assays of natural perspiration, without any sweat stimulation, along with the personalized sweat-response-to-blood concentration translation. A reliable estimate of the blood glucose sensing concentrations can thus be realized through a simple one-time personal precalibration. Such system training leads to a substantially improved accuracy with a Pearson correlation coefficient higher than 0.95, along with an overall mean absolute relative difference of 7.79%, with 100% paired points residing in the A + B region of the Clarke error grid. The speed and simplicity of the touch-based blood-free fingertip sweat assay, and the elimination of periodic blood calibrations, should lead to frequent self-testing of glucose and enhanced patient compliance toward the improved management of diabetes.
- Subjects :
- Blood Glucose
Glucose sensing
Bioengineering
02 engineering and technology
01 natural sciences
SWEAT
Diabetes mellitus
medicine
Humans
Perspiration
Patient compliance
Instrumentation
Monitoring, Physiologic
Fluid Flow and Transfer Processes
integumentary system
business.industry
Process Chemistry and Technology
Blood Glucose Self-Monitoring
010401 analytical chemistry
Diabetes prevalence
021001 nanoscience & nanotechnology
medicine.disease
0104 chemical sciences
Glucose
Touch
medicine.symptom
0210 nano-technology
business
Biomedical engineering
Subjects
Details
- ISSN :
- 23793694
- Volume :
- 6
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- ACS sensors
- Accession number :
- edsair.doi.dedup.....6bfb5630e2bc5ff7da871c13e12548ce