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. 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
  4. 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
  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. 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...
  4. 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...
  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
    ....