@inproceedings{19ebec0519d144339f67f1f5754db4ee,
title = "Research on glucose concentration predicting based on ARMA model",
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 = "ARMA model, forecasting, glucose concentration, time series",
author = "Ying Zhang and Rui Kang and Shihong Xiang",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 Prognostics and System Health Management Conference, PHM 2014 ; Conference date: 24-08-2014 Through 27-08-2014",
year = "2014",
month = dec,
day = "16",
doi = "10.1109/PHM.2014.6988189",
language = "英语",
series = "Proceedings of 2014 Prognostics and System Health Management Conference, PHM 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "332--335",
booktitle = "Proceedings of 2014 Prognostics and System Health Management Conference, PHM 2014",
address = "美国",
}