• DocumentCode
    1769184
  • Title

    Research on glucose concentration predicting based on ARMA model

  • Author

    Zhang Ying ; Kang Rui ; Xiang Shihong

  • Author_Institution
    Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    24-27 Aug. 2014
  • Firstpage
    332
  • Lastpage
    335
  • Abstract
    This paper attempts to apply the ARMA (Auto Regressive Moving Average) model to predict patients´ glucose concentration because of the successful application of time series ARMA model in forecasting the fault rate. This paper gives the glucose concentration prediction method based on ARMA model and the actualization on MATLAB platform. After analyzing the time series of several patients´ glucose concentration, use MATLAB platform to calculate the parameters of ARMA model, then predict the glucose concentration. The prediction process and results show that the ARMA model is suitable for some patients´ glucose concentration.
  • Keywords
    autoregressive moving average processes; biochemistry; diseases; sugar; time series; MATLAB platform; autoregressive moving average model; glucose concentration prediction method; patient glucose concentration; time series ARMA model; Autoregressive processes; Correlation; Mathematical model; Modeling; Predictive models; Sugar; Time series analysis; ARMA model; forecasting; glucose concentration; time series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
  • Conference_Location
    Zhangiiaijie
  • Print_ISBN
    978-1-4799-7957-8
  • Type

    conf

  • DOI
    10.1109/PHM.2014.6988189
  • Filename
    6988189