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Volumn 13, Issue 8, 2011, Pages 843-852

A dynamic risk measure from continuous glucose monitoring data

Author keywords

[No Author keywords available]

Indexed keywords

GLUCOSE;

EID: 79960426033     PISSN: 15209156     EISSN: 15578593     Source Type: Journal    
DOI: 10.1089/dia.2011.0006     Document Type: Article
Times cited : (27)

References (26)
  • 2
    • 70349249912 scopus 로고    scopus 로고
    • Interpretation of continuous glucose monitoring data: Glycemic variability and quality of glycemic control
    • Rodbard D: Interpretation of continuous glucose monitoring data: glycemic variability and quality of glycemic control. Diabetes Technol Ther 2009;11:55-67.
    • (2009) Diabetes Technol Ther , vol.11 , pp. 55-67
    • Rodbard, D.1
  • 3
    • 77955677620 scopus 로고    scopus 로고
    • Glycemic variability in inadequately controlled type 1 diabetes and type 2 diabetes on intensive insulin therapy: A cross-sectional, observational study
    • Greven WL, Beulens JWJ, Biesma DH, Faiz S, de Valk HW: Glycemic variability in inadequately controlled type 1 diabetes and type 2 diabetes on intensive insulin therapy: a cross-sectional, observational study. Diabetes Technol Ther 2010;12:695-699.
    • Diabetes Technol Ther , vol.2010 , Issue.12 , pp. 695-699
    • Greven, W.L.1    Jwj, B.2    Biesma, D.H.3    Faiz, S.4    De Valk, H.W.5
  • 4
    • 67650248749 scopus 로고    scopus 로고
    • Clinical review: Realistic expectations and practical use of continuous glucose monitoring for the endocrinologist
    • Hirsch IB: Clinical review: realistic expectations and practical use of continuous glucose monitoring for the endocrinologist. J Clin Endocrinol Metab 2009;94:2232-2238.
    • (2009) J Clin Endocrinol Metab , vol.94 , pp. 2232-2238
    • Hirsch, I.B.1
  • 5
    • 18144421498 scopus 로고    scopus 로고
    • Continuous glucose monitoring: Roadmap for 21st century diabetes therapy
    • DOI 10.2337/diacare.28.5.1231
    • Klonoff DC: Continuous glucose monitoring: roadmap for 21st Century diabetes therapy. Diabetes Care 2005;28: 1231-1239. (Pubitemid 40616646)
    • (2005) Diabetes Care , vol.28 , Issue.5 , pp. 1231-1239
    • Klonoff, D.C.1
  • 6
    • 1842582980 scopus 로고    scopus 로고
    • The role of new technology in the early detection of hypoglycemia
    • DOI 10.1089/152091504773731294
    • Ward WK: The role of new technology in the early detection of hypoglycemia. Diabetes Technol Ther 2004;6:115-117. (Pubitemid 38445736)
    • (2004) Diabetes Technology and Therapeutics , vol.6 , Issue.2 , pp. 115-117
    • Ward, W.K.1
  • 7
    • 60749135836 scopus 로고    scopus 로고
    • Clinical overview of continuous glucose monitoring
    • Buckingham B: Clinical overview of continuous glucose monitoring. J Diabetes Sci Technol 2008;2:300-306.
    • (2008) J Diabetes Sci Technol , vol.2 , pp. 300-306
    • Buckingham, B.1
  • 8
    • 77955504672 scopus 로고    scopus 로고
    • Continuous glucose monitoring: Real-time algorithms for calibration, filtering, and alarms
    • Bequette BW: Continuous glucose monitoring: real-time algorithms for calibration, filtering, and alarms. J Diabetes Sci Technol 2010;4:404-418.
    • J Diabetes Sci Technol , vol.2010 , Issue.4 , pp. 404-418
    • Bequette, B.W.1
  • 9
    • 54749116015 scopus 로고    scopus 로고
    • The future of continuous glucose monitoring: Closed loop
    • Hovorka R: The future of continuous glucose monitoring: closed loop. Curr Diabetes Rev 2008;4:269-279.
    • (2008) Curr Diabetes Rev , vol.4 , pp. 269-279
    • Hovorka, R.1
  • 10
    • 79952201180 scopus 로고    scopus 로고
    • Use of subcutaneous interstitial fluid glucose to estimate blood glucose: Revisiting delay and sensor offset
    • Rebrin K, Sheppard NF, Steil GM: Use of subcutaneous interstitial fluid glucose to estimate blood glucose: revisiting delay and sensor offset. J Diabetes Sci Technol 2010;4:1087-1098.
    • J Diabetes Sci Technol , vol.2010 , Issue.4 , pp. 1087-1098
    • Rebrin, K.1    Sheppard, N.F.2    Steil, G.M.3
  • 11
    • 77957127872 scopus 로고    scopus 로고
    • Smart continuous glucose monitoring sensors: On-line signal processing issues
    • Sparacino G, Facchinetti A, Cobelli C: "Smart" continuous glucose monitoring sensors: on-line signal processing issues. Sensors 2010;10:6751-6772.
    • (2010) Sensors , vol.10 , pp. 6751-6772
    • Sparacino, G.1    Facchinetti, A.2    Cobelli, C.3
  • 12
    • 0030834435 scopus 로고    scopus 로고
    • Symmetrization of the blood glucose measurement scale and its applications
    • Kovatchev BP, Cox DJ, Gonder-Frederick LA, Clarke WL: Symmetrization of the blood glucose measurement scale and its applications. Diabetes Care 1997;20:1655-1658. (Pubitemid 27463037)
    • (1997) Diabetes Care , vol.20 , Issue.11 , pp. 1655-1658
    • Kovatchev, B.P.1    Cox, D.J.2    Gonder-Frederick, L.A.3    Clarke, W.4
  • 14
    • 70349314777 scopus 로고    scopus 로고
    • New and improved methods to characterize glycemic variability using continuous glucose monitoring
    • Rodbard D: New and improved methods to characterize glycemic variability using continuous glucose monitoring. Diabetes Technol Ther 2009;11:551-565.
    • (2009) Diabetes Technol Ther , vol.11 , pp. 551-565
    • Rodbard, D.1
  • 15
    • 77957315027 scopus 로고    scopus 로고
    • A semilogarithmic scale for glucose provides a balanced view of hyperglycemia and hypoglycemia
    • Rodbard D: A semilogarithmic scale for glucose provides a balanced view of hyperglycemia and hypoglycemia. J Diabetes Sci Technol 2009;3:1395-1401.
    • (2009) J Diabetes Sci Technol , vol.3 , pp. 1395-1401
    • Rodbard, D.1
  • 17
    • 0034582325 scopus 로고    scopus 로고
    • Risk analysis of blood glucose data: A quantitative approach to optimizing the control of Insulin Dependent Diabetes
    • Kovatchev BP, Straume M, Cox DJ, Fahry LS: Risk analysis of blood glucose data: a quantitative approach to optimizing the control of insulin dependent diabetes. J Theoret Med 2000;3:1-10. (Pubitemid 34498507)
    • (2000) Journal of Theoretical Medicine , vol.3 , Issue.1 , pp. 1-10
    • Kovatchev, B.P.1    Straume, M.2    Cox, D.J.3    Farhy, L.S.4
  • 18
    • 0242268976 scopus 로고    scopus 로고
    • Algorithmic evaluation of metabolic control and risk of severe hypoglycemia in type 1 and type 2 diabetes using self-monitoring blood glucose data
    • DOI 10.1089/152091503322527021
    • Kovatchev BP, Cox DJ, Kumar A, Gonder-Frederick LA, Clarke WL: Algorithmic evaluation of metabolic control and risk of severe hypoglycemia in type 1 and type 2 diabetes using self-monitoring blood glucose data. Diabetes Technol Ther 2003;5:817-828. (Pubitemid 37339544)
    • (2003) Diabetes Technology and Therapeutics , vol.5 , Issue.5 , pp. 817-828
    • Kovatchev, B.P.1    Cox, D.J.2    Kumar, A.3    Gonder-Frederick, L.4    Clarke, W.L.5
  • 19
    • 70349240850 scopus 로고    scopus 로고
    • Statistical tools to analyze continuous glucose monitor data
    • Clarke WL, Kovatchev BP: Statistical tools to analyze continuous glucose monitor data. Diabetes Technol Ther 2009; 11:45-54.
    • (2009) Diabetes Technol Ther , vol.11 , pp. 45-54
    • Clarke, W.L.1    Kovatchev, B.P.2
  • 20
    • 31144461926 scopus 로고    scopus 로고
    • Quantifying temporal glucose variability in diabetes via continuous glucose monitoring: Mathematical methods and clinical application
    • DOI 10.1089/dia.2005.7.849
    • Kovatchev BP, Clarke WL, Breton M, Brayman K, McCall A: Quantifying temporal glucose variability in diabetes via continuous glucose monitoring: mathematical methods and clinical application. Diabetes Technol Ther 2005;7: 849-862. (Pubitemid 43133992)
    • (2005) Diabetes Technology and Therapeutics , vol.7 , Issue.6 , pp. 849-862
    • Kovatchev, B.P.1    Clarke, W.L.2    Breton, M.3    Brayman, K.4    McCall, A.5
  • 23
    • 0031130574 scopus 로고    scopus 로고
    • Nonparametric input estimation in physiological systems: Problems, methods, and case studies
    • PII S0005109896002543
    • De Nicolao G, Sparacino G, Cobelli C: Nonparametric input estimation in physiological systems: problems, methods and case studies. Automatica 1997;33:851-870. (Pubitemid 127413702)
    • (1997) Automatica , vol.33 , Issue.5 , pp. 851-870
    • De Nicolao, G.1    Sparacino, G.2    Cobelli, C.3
  • 24
    • 54749149727 scopus 로고    scopus 로고
    • Hypoglycemia detection and prediction using continuous glucose monitoring: A study on hypoglycemic clamp data
    • Palerm C, Bequette W: Hypoglycemia detection and prediction using continuous glucose monitoring: a study on hypoglycemic clamp data. J Diabetes Sci Technol 2007;1: 624-629.
    • (2007) J Diabetes Sci Technol , vol.1 , pp. 624-629
    • Palerm, C.1    Bequette, W.2
  • 25
    • 3342981187 scopus 로고    scopus 로고
    • Evaluating the accuracy of continuous glucose-monitoring sensors: Continuous glucose-error grid analysis illustrated by TheraSense Freestyle Navigator data
    • DOI 10.2337/diacare.27.8.1922
    • Kovatchev BP, Gonder-Frederick LA, Cox DJ, Clarke WL: Evaluating the accuracy of continuous glucose-monitoring sensors: continuous glucose-error grid analysis illustrated by TheraSense Freestyle Navigator data. Diabetes Care 2004;27: 1922-1928. (Pubitemid 38989233)
    • (2004) Diabetes Care , vol.27 , Issue.8 , pp. 1922-1928
    • Kovatchev, B.P.1    Gonder-Frederick, L.A.2    Cox, D.J.3    Clarke, W.L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.