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Herausgeber: 
  • Luigi Del Re
  • Harald Kirchsteiger
  • Eric Renard
  • John Bagterp Jørgensen
  • Prediction Methods for Blood Glucose Concentration: Design, Use and Evaluation 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  August 2016  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Automatic control engineering / B / Biological and Medical Physics, Biophysics / Biological physics / Biomedical engineering / Biomedical Engineering and Bioengineering / Biophysics / Control and Systems Theory / Control engineering / Diabetes / Diseases / engineering / Medical physics
    ISBN:  9783319372983 
    EAN-Code: 
    9783319372983 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Lecture Notes in Bioengineering  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  4277 gr 
    Seiten:  265 
    Illustration:  XIV, 265 p. 93 illus., 72 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  Previously published in hardcover 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book tackles the problem of overshoot and undershoot in blood glucose levels caused by delay in the effects of carbohydrate consumption and insulin administration. The ideas presented here will be very important in maintaining the welfare of insulin-dependent diabetics and avoiding the damaging effects of unpredicted swings in blood glucose - accurate prediction enables the implementation of counter-measures. The glucose prediction algorithms described are also a key and critical ingredient of automated insulin delivery systems, the so-called "artificial pancreas".
    The authors address the topic of blood-glucose prediction from medical, scientific and technological points of view. Simulation studies are utilized for complementary analysis but the primary focus of this book is on real applications, using clinical data from diabetic subjects.
    The text details the current state of the art by surveying prediction algorithms, and then moves beyond it with the most recent advancesin data-based modeling of glucose metabolism. The topic of performance evaluation is discussed and the relationship of clinical and technological needs and goals examined with regard to their implications for medical devices employing prediction algorithms. Practical and theoretical questions associated with such devices and their solutions are highlighted.
    This book shows researchers interested in biomedical device technology and control researchers working with predictive algorithms how incorporation of predictive algorithms into the next generation of portable glucose measurement can make treatment of diabetes safer and more efficient.
      
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