Stefania Guerra

Summary

Affiliation: University of Padova
Country: Italy

Publications

  1. doi Enhancing the accuracy of subcutaneous glucose sensors: a real-time deconvolution-based approach
    Stefania Guerra
    Department of Information Engineering, University of Padova, Padova 35137, Italy
    IEEE Trans Biomed Eng 59:1658-69. 2012
  2. doi A dynamic risk measure from continuous glucose monitoring data
    Stefania Guerra
    Department of Information Engineering, University of Padova, Padova, Italy
    Diabetes Technol Ther 13:843-52. 2011
  3. pmc Real-time improvement of continuous glucose monitoring accuracy: the smart sensor concept
    Andrea Facchinetti
    Department of Information Engineering, University of Padova, Padova, Italy
    Diabetes Care 36:793-800. 2013
  4. doi Hemodynamics assessed via approximate entropy analysis of impedance cardiography time series: effect of metabolic syndrome
    Stefania Guerra
    Department of Information Engineering, University of Padova, Padova, Italy
    Am J Physiol Heart Circ Physiol 301:H592-8. 2011
  5. pmc Closed-loop artificial pancreas using subcutaneous glucose sensing and insulin delivery and a model predictive control algorithm: preliminary studies in Padova and Montpellier
    Daniela Bruttomesso
    Department of Clinical and Experimental Medicine, Division of Metabolic Diseases, University of Padova, Padova, Italy
    J Diabetes Sci Technol 3:1014-21. 2009

Collaborators

Detail Information

Publications5

  1. doi Enhancing the accuracy of subcutaneous glucose sensors: a real-time deconvolution-based approach
    Stefania Guerra
    Department of Information Engineering, University of Padova, Padova 35137, Italy
    IEEE Trans Biomed Eng 59:1658-69. 2012
    ..Thanks to its online capabilities, the proposed signal-enhancement algorithm can be used to improve the performance of CGM-based real-time systems such as the hypo/hyper glycemic alert generators or the artificial pancreas...
  2. doi A dynamic risk measure from continuous glucose monitoring data
    Stefania Guerra
    Department of Information Engineering, University of Padova, Padova, Italy
    Diabetes Technol Ther 13:843-52. 2011
    ..The continuous nature of CGM data allows us to further refine the risk space concept in order to account for glucose dynamics...
  3. pmc Real-time improvement of continuous glucose monitoring accuracy: the smart sensor concept
    Andrea Facchinetti
    Department of Information Engineering, University of Padova, Padova, Italy
    Diabetes Care 36:793-800. 2013
    ..In this work we demonstrate that real-time algorithms can render CGM sensors smarter by reducing their uncertainty and inaccuracy and improving their ability to alert for hypo- and hyperglycemic events...
  4. doi Hemodynamics assessed via approximate entropy analysis of impedance cardiography time series: effect of metabolic syndrome
    Stefania Guerra
    Department of Information Engineering, University of Padova, Padova, Italy
    Am J Physiol Heart Circ Physiol 301:H592-8. 2011
    ..In conclusion, we identified that MS is characterized by an increased complexity of ICG signals: this may have a prognostic relevance in subjects with this condition...
  5. pmc Closed-loop artificial pancreas using subcutaneous glucose sensing and insulin delivery and a model predictive control algorithm: preliminary studies in Padova and Montpellier
    Daniela Bruttomesso
    Department of Clinical and Experimental Medicine, Division of Metabolic Diseases, University of Padova, Padova, Italy
    J Diabetes Sci Technol 3:1014-21. 2009
    ....