Zanon M - Search Results

1

First Experiences With a Wearable Multisensor Device in a Noninvasive Continuous Glucose Monitoring Study at Home, Part II: The Investigators' View.

Zanon M, Mueller M, Zakharov P, Talary MS, Donath M, Stahel WA, Caduff A. Zanon M, et al. J Diabetes Sci Technol. 2018 May;12(3):554-561. doi: 10.1177/1932296817740591. Epub 2017 Nov 16. J Diabetes Sci Technol. 2018. PMID: 29145749 Free PMC article.

2

The Effect of a Global, Subject, and Device-Specific Model on a Noninvasive Glucose Monitoring Multisensor System.

Caduff A, Zanon M, Mueller M, Zakharov P, Feldman Y, De Feo O, Donath M, Stahel WA, Talary MS. Caduff A, et al. Among authors: zanon m. J Diabetes Sci Technol. 2015 Jul;9(4):865-72. doi: 10.1177/1932296815579459. Epub 2015 Apr 24. J Diabetes Sci Technol. 2015. PMID: 25910542 Free PMC article.

3

First Experiences With a Wearable Multisensor in an Outpatient Glucose Monitoring Study, Part I: The Users' View.

Caduff A, Zanon M, Zakharov P, Mueller M, Talary M, Krebs A, Stahel WA, Donath M. Caduff A, et al. Among authors: zanon m. J Diabetes Sci Technol. 2018 May;12(3):562-568. doi: 10.1177/1932296817750932. Epub 2018 Jan 14. J Diabetes Sci Technol. 2018. PMID: 29332423 Free PMC article.

4

Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor Device.

Acciaroli G, Zanon M, Facchinetti A, Caduff A, Sparacino G. Acciaroli G, et al. Among authors: zanon m. Sensors (Basel). 2019 Aug 24;19(17):3677. doi: 10.3390/s19173677. Sensors (Basel). 2019. PMID: 31450547 Free PMC article.

5

Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring.

Zanon M, Riz M, Sparacino G, Facchinetti A, Suri RE, Talary MS, Cobelli C. Zanon M, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:2538-41. doi: 10.1109/IEMBS.2011.6090702. Annu Int Conf IEEE Eng Med Biol Soc. 2011. PMID: 22254858

6

Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system.

Zanon M, Sparacino G, Facchinetti A, Riz M, Talary MS, Suri RE, Caduff A, Cobelli C. Zanon M, et al. Med Biol Eng Comput. 2012 Oct;50(10):1047-57. doi: 10.1007/s11517-012-0932-6. Epub 2012 Jun 22. Med Biol Eng Comput. 2012. PMID: 22722898

7

Non-invasive continuous glucose monitoring with multi-sensor systems: a Monte Carlo-based methodology for assessing calibration robustness.

Zanon M, Sparacino G, Facchinetti A, Talary MS, Mueller M, Caduff A, Cobelli C. Zanon M, et al. Sensors (Basel). 2013 Jun 3;13(6):7279-95. doi: 10.3390/s130607279. Sensors (Basel). 2013. PMID: 23736850 Free PMC article.

8

Glucose variability indices in type 1 diabetes: parsimonious set of indices revealed by sparse principal component analysis.

Fabris C, Facchinetti A, Sparacino G, Zanon M, Guerra S, Maran A, Cobelli C. Fabris C, et al. Among authors: zanon m. Diabetes Technol Ther. 2014 Oct;16(10):644-52. doi: 10.1089/dia.2013.0252. Epub 2014 Jun 23. Diabetes Technol Ther. 2014. PMID: 24956070

9

Italian contributions to the development of continuous glucose monitoring sensors for diabetes management.

Sparacino G, Zanon M, Facchinetti A, Zecchin C, Maran A, Cobelli C. Sparacino G, et al. Among authors: zanon m. Sensors (Basel). 2012 Oct 12;12(10):13753-80. doi: 10.3390/s121013753. Sensors (Basel). 2012. PMID: 23202020 Free PMC article. Review.

10

Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disorders.

Bogaarts G, Zanon M, Dondelinger F, Derungs A, Lipsmeier F, Gossens C, Lindemann M. Bogaarts G, et al. Among authors: zanon m. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:6905-6910. doi: 10.1109/EMBC46164.2021.9630594. Annu Int Conf IEEE Eng Med Biol Soc. 2021. PMID: 34892692

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