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Non-invasive glucose monitoring in patients with Type 1 diabetes: a Multisensor system combining sensors for dielectric and optical characterisation of skin.
Biosens Bioelectron. 2009 May 15; 24(9):2778-84.BB

Abstract

In vivo variations of blood glucose (BG) are affecting the biophysical characteristics (e.g. dielectric and optical) of skin and underlying tissue (SAUT) at various frequencies. However, the skin impedance spectra for instance can also be affected by other factors, perturbing the glucose related information, factors such as temperature, skin moisture and sweat, blood perfusion as well as body movements affecting the sensor-skin contact. In order to be able to correct for such perturbing factors, a Multisensor system was developed including sensors to measure the identified factors. To evaluate the quality of glucose monitoring, the Multisensor was applied in 10 patients with Type 1 diabetes. Glucose was administered orally to induce hyperglycaemic excursions at two different study visits. For analysis of the sensor signals, a global multiple linear regression model was derived. The respective coefficients of the variables were determined from the sensor signals of this first study visit (R(2)=0.74, MARD=18.0%--mean absolute relative difference). The identical set of modelling coefficients of the first study visit was re-applied to the test data of the second study visit to evaluate the predictive power of the model (R(2)=0.68, MARD=27.3%). It appears as if the Multisensor together with the global linear regression model applied, allows for tracking glucose changes non-invasively in patients with diabetes without requiring new model coefficients for each visit. Confirmation of these findings in a larger study group and under less experimentally controlled conditions is required for understanding whether a global parameterisation routine is feasible.

Authors+Show Affiliations

Solianis Monitoring AG, Leutschenbachstrasse 46, 8050 Zurich, Switzerland. andreas.caduff@solianis.comNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Validation Study

Language

eng

PubMed ID

19286364

Citation

Caduff, Andreas, et al. "Non-invasive Glucose Monitoring in Patients With Type 1 Diabetes: a Multisensor System Combining Sensors for Dielectric and Optical Characterisation of Skin." Biosensors & Bioelectronics, vol. 24, no. 9, 2009, pp. 2778-84.
Caduff A, Talary MS, Mueller M, et al. Non-invasive glucose monitoring in patients with Type 1 diabetes: a Multisensor system combining sensors for dielectric and optical characterisation of skin. Biosens Bioelectron. 2009;24(9):2778-84.
Caduff, A., Talary, M. S., Mueller, M., Dewarrat, F., Klisic, J., Donath, M., Heinemann, L., & Stahel, W. A. (2009). Non-invasive glucose monitoring in patients with Type 1 diabetes: a Multisensor system combining sensors for dielectric and optical characterisation of skin. Biosensors & Bioelectronics, 24(9), 2778-84. https://doi.org/10.1016/j.bios.2009.02.001
Caduff A, et al. Non-invasive Glucose Monitoring in Patients With Type 1 Diabetes: a Multisensor System Combining Sensors for Dielectric and Optical Characterisation of Skin. Biosens Bioelectron. 2009 May 15;24(9):2778-84. PubMed PMID: 19286364.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Non-invasive glucose monitoring in patients with Type 1 diabetes: a Multisensor system combining sensors for dielectric and optical characterisation of skin. AU - Caduff,Andreas, AU - Talary,Mark S, AU - Mueller,Martin, AU - Dewarrat,Francois, AU - Klisic,Jelena, AU - Donath,Marc, AU - Heinemann,Lutz, AU - Stahel,Werner A, Y1 - 2009/02/20/ PY - 2008/09/30/received PY - 2009/02/03/revised PY - 2009/02/08/accepted PY - 2009/3/17/entrez PY - 2009/3/17/pubmed PY - 2009/7/18/medline SP - 2778 EP - 84 JF - Biosensors & bioelectronics JO - Biosens Bioelectron VL - 24 IS - 9 N2 - In vivo variations of blood glucose (BG) are affecting the biophysical characteristics (e.g. dielectric and optical) of skin and underlying tissue (SAUT) at various frequencies. However, the skin impedance spectra for instance can also be affected by other factors, perturbing the glucose related information, factors such as temperature, skin moisture and sweat, blood perfusion as well as body movements affecting the sensor-skin contact. In order to be able to correct for such perturbing factors, a Multisensor system was developed including sensors to measure the identified factors. To evaluate the quality of glucose monitoring, the Multisensor was applied in 10 patients with Type 1 diabetes. Glucose was administered orally to induce hyperglycaemic excursions at two different study visits. For analysis of the sensor signals, a global multiple linear regression model was derived. The respective coefficients of the variables were determined from the sensor signals of this first study visit (R(2)=0.74, MARD=18.0%--mean absolute relative difference). The identical set of modelling coefficients of the first study visit was re-applied to the test data of the second study visit to evaluate the predictive power of the model (R(2)=0.68, MARD=27.3%). It appears as if the Multisensor together with the global linear regression model applied, allows for tracking glucose changes non-invasively in patients with diabetes without requiring new model coefficients for each visit. Confirmation of these findings in a larger study group and under less experimentally controlled conditions is required for understanding whether a global parameterisation routine is feasible. SN - 1873-4235 UR - https://www.unboundmedicine.com/medline/citation/19286364/Non_invasive_glucose_monitoring_in_patients_with_Type_1_diabetes:_a_Multisensor_system_combining_sensors_for_dielectric_and_optical_characterisation_of_skin_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0956-5663(09)00080-3 DB - PRIME DP - Unbound Medicine ER -