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Characteristics of a multisensor system for non invasive glucose monitoring with external validation and prospective evaluation.
Biosens Bioelectron. 2011 May 15; 26(9):3794-800.BB

Abstract

The Multisensor Glucose Monitoring System (MGMS) features non invasive sensors for dielectric characterisation of the skin and underlying tissue in a wide frequency range (1 kHz-100 MHz, 1 and 2 GHz) as well as optical characterisation. In this paper we describe the results of using an MGMS in a miniaturised housing with fully integrated sensors and battery. Six patients with Type I Diabetes Mellitus (age 44±16 y; BMI 24.1±1.3 kg/m(2), duration of diabetes 27±12 y; HbA1c 7.3±1.0%) wore a single Multisensor at the upper arm position and performed a total of 45 in-clinic study days with 7 study days per patient on average (min. 5 and max. 10). Glucose changes were induced either orally or by i.v. glucose administration and the blood glucose was measured routinely. Several prospective data evaluation routines were applied to evaluate the data. The results are shown using one of the restrictive data evaluation routines, where measurements from the first 22 study days were used to train a linear regression model. The global model was then prospectively applied to the data of the remaining 23 study days to allow for an external validation of glucose prediction. The model application yielded a Mean Absolute Relative Difference of 40.8%, a Mean Absolute Difference of 51.9 mg dL(-1), and a correlation of 0.84 on average per study day. The Clarke error grid analyses showed 89.0% in A+B, 4.5% in C, 4.6% in D and 1.9% in the E region. Prospective application of a global, purely statistical model, demonstrates that glucose variations can be tracked non invasively by the MGMS in most cases under these conditions.

Authors+Show Affiliations

Solianis Monitoring AG, Leutschenbachstrasse 46, 8050 Zurich, Switzerland.Solianis Monitoring AG, Leutschenbachstrasse 46, 8050 Zurich, Switzerland.Solianis Monitoring AG, Leutschenbachstrasse 46, 8050 Zurich, Switzerland.Solianis Monitoring AG, Leutschenbachstrasse 46, 8050 Zurich, Switzerland.Solianis Monitoring AG, Leutschenbachstrasse 46, 8050 Zurich, Switzerland.Solianis Monitoring AG, Leutschenbachstrasse 46, 8050 Zurich, Switzerland.Clinic for Endocrinology and Diabetes, University Hospital Zurich, 8091 Zurich, Switzerland.Solianis Monitoring AG, Leutschenbachstrasse 46, 8050 Zurich, Switzerland.Solianis Monitoring AG, Leutschenbachstrasse 46, 8050 Zurich, Switzerland.Seminar for Statistics, ETH Zurich, 8092 Zurich, Switzerland.Solianis Monitoring AG, Leutschenbachstrasse 46, 8050 Zurich, Switzerland.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

21493056

Citation

Caduff, Andreas, et al. "Characteristics of a Multisensor System for Non Invasive Glucose Monitoring With External Validation and Prospective Evaluation." Biosensors & Bioelectronics, vol. 26, no. 9, 2011, pp. 3794-800.
Caduff A, Mueller M, Megej A, et al. Characteristics of a multisensor system for non invasive glucose monitoring with external validation and prospective evaluation. Biosens Bioelectron. 2011;26(9):3794-800.
Caduff, A., Mueller, M., Megej, A., Dewarrat, F., Suri, R. E., Klisic, J., Donath, M., Zakharov, P., Schaub, D., Stahel, W. A., & Talary, M. S. (2011). Characteristics of a multisensor system for non invasive glucose monitoring with external validation and prospective evaluation. Biosensors & Bioelectronics, 26(9), 3794-800. https://doi.org/10.1016/j.bios.2011.02.034
Caduff A, et al. Characteristics of a Multisensor System for Non Invasive Glucose Monitoring With External Validation and Prospective Evaluation. Biosens Bioelectron. 2011 May 15;26(9):3794-800. PubMed PMID: 21493056.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Characteristics of a multisensor system for non invasive glucose monitoring with external validation and prospective evaluation. AU - Caduff,Andreas, AU - Mueller,Martin, AU - Megej,Alexander, AU - Dewarrat,Francois, AU - Suri,Roland E, AU - Klisic,Jelena, AU - Donath,Marc, AU - Zakharov,Pavel, AU - Schaub,Dominik, AU - Stahel,Werner A, AU - Talary,Mark S, Y1 - 2011/04/13/ PY - 2010/12/07/received PY - 2011/02/09/revised PY - 2011/02/20/accepted PY - 2011/4/16/entrez PY - 2011/4/16/pubmed PY - 2016/7/5/medline SP - 3794 EP - 800 JF - Biosensors & bioelectronics JO - Biosens Bioelectron VL - 26 IS - 9 N2 - The Multisensor Glucose Monitoring System (MGMS) features non invasive sensors for dielectric characterisation of the skin and underlying tissue in a wide frequency range (1 kHz-100 MHz, 1 and 2 GHz) as well as optical characterisation. In this paper we describe the results of using an MGMS in a miniaturised housing with fully integrated sensors and battery. Six patients with Type I Diabetes Mellitus (age 44±16 y; BMI 24.1±1.3 kg/m(2), duration of diabetes 27±12 y; HbA1c 7.3±1.0%) wore a single Multisensor at the upper arm position and performed a total of 45 in-clinic study days with 7 study days per patient on average (min. 5 and max. 10). Glucose changes were induced either orally or by i.v. glucose administration and the blood glucose was measured routinely. Several prospective data evaluation routines were applied to evaluate the data. The results are shown using one of the restrictive data evaluation routines, where measurements from the first 22 study days were used to train a linear regression model. The global model was then prospectively applied to the data of the remaining 23 study days to allow for an external validation of glucose prediction. The model application yielded a Mean Absolute Relative Difference of 40.8%, a Mean Absolute Difference of 51.9 mg dL(-1), and a correlation of 0.84 on average per study day. The Clarke error grid analyses showed 89.0% in A+B, 4.5% in C, 4.6% in D and 1.9% in the E region. Prospective application of a global, purely statistical model, demonstrates that glucose variations can be tracked non invasively by the MGMS in most cases under these conditions. SN - 1873-4235 UR - https://www.unboundmedicine.com/medline/citation/21493056/Characteristics_of_a_multisensor_system_for_non_invasive_glucose_monitoring_with_external_validation_and_prospective_evaluation_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0956-5663(11)00121-7 DB - PRIME DP - Unbound Medicine ER -