Hypoglycemia Early Alarm Systems Based On Multivariable Models.
Hypoglycemia Early Alarm Systems Based On Multivariable Models.
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DOI：
10.1021/ie3034015
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发表时间：
2013-09-04
影响因子：
4.2
通讯作者：
Cinar, Ali
中科院分区：
文献类型：
--
作者：
Turksoy, Kamuran;Bayrak, Elif S.;Quinn, Lauretta;Littlejohn, Elizabeth;Rollins, Derrick;Cinar, Ali
Hypoglycemia is a major challenge of artificial pancreas systems and a source of concern for potential users and parents of young children with Type 1 diabetes (T1D). Early alarms to warn the potential of hypoglycemia are essential and should provide enough time to take action to avoid hypoglycemia. Many alarm systems proposed in the literature are based on interpretation of recent trends in glucose values. In the present study, subject-specific recursive linear time series models are introduced as a better alternative to capture glucose variations and predict future blood glucose concentrations. These models are then used in hypoglycemia early alarm systems that notify patients to take action to prevent hypoglycemia before it happens. The models developed and the hypoglycemia alarm system are tested retrospectively using T1D subject data. A Savitzky-Golay filter and a Kalman filter are used to reduce noise in patient data. The hypoglycemia alarm algorithm is developed by using predictions of future glucose concentrations from recursive models. The modeling algorithm enables the dynamic adaptation of models to inter-/intra-subject variation and glycemic disturbances and provides satisfactory glucose concentration prediction with relatively small error. The alarm systems demonstrate good performance in prediction of hypoglycemia and ultimately in prevention of its occurrence.
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DOI：
10.1016/j.automatica.2012.05.076
发表时间：
2012-08
期刊：
Automatica : the journal of IFAC, the International Federation of Automatic Control
影响因子：
--
作者：
Eren-Oruklu M;Cinar A;Rollins DK;Quinn L
通讯作者：
Quinn L
影响因子：
5.4
作者：
Eren-Oruklu, Meriyan;Cinar, Ali;Smith, Donald
通讯作者：
Smith, Donald
影响因子：
6.4
作者：
FAVIER, G;DUBOIS, D
通讯作者：
DUBOIS, D
影响因子：
9.4
作者：
Bequette, B. Wayne
通讯作者：
Bequette, B. Wayne
影响因子：
7.7
作者：
Banarer, S;Cryer, PE
通讯作者：
Cryer, PE