TY - JOUR
T1 - A control-based observer approach for estimating energy intake during pregnancy
AU - Ranghetti, Luca
AU - Rivera, Daniel E.
AU - Guo, Penghong
AU - Visioli, Antonio
AU - Savage Williams, Jennifer
AU - Symons Downs, Danielle
N1 - Funding Information:
National Center for Advancing Translational Sciences, UL1 TR000127; UL1 TR002014; National Heart, Lung, and Blood Institute, R01 HL119245; R56 HL126799; University of Brescia Fund for International Activities Funding information
Funding Information:
Support for this work has been provided by the National Heart, Lung, and Blood Institute (NHLBI) of the National Institutes of Health (NIH) through Grants R01 HL119245 and R56 HL126799, and the National Center for Advancing Translational Sciences through Grants UL1 TR000127 and TR002014. The content is solely responsibility of the authors and do not necessarily represent the official views of the NIH. Support from Mr. Ranghetti during his six month stay at Arizona State University was received by the University of Brescia Fund for International Activities.
Publisher Copyright:
© 2022 John Wiley & Sons Ltd.
PY - 2023/6
Y1 - 2023/6
N2 - Gestational weight gain outside of Institute of Medicine guidelines poses a risk to both the mother and her unborn child. Behavioral interventions such as Healthy Mom Zone (HMZ) that aim to regulate gestational weight gain require self-monitoring of energy intake, which is often significantly under-reported by participants. This article describes the use of a control systems approach for energy intake estimation during pregnancy. It relies on an energy balance model that predicts gestational weight based on physical activity and energy intake, the latter treated as an unmeasured disturbance. Two control-based observer formulations relying on Internal Model Control and Model Predictive Control, respectively, are presented in this article, first for a hypothetical participant, then on data collected from four HMZ participants. Results demonstrate the effectiveness of the method, with generally best results obtained when estimating energy intake over a weekly time period.
AB - Gestational weight gain outside of Institute of Medicine guidelines poses a risk to both the mother and her unborn child. Behavioral interventions such as Healthy Mom Zone (HMZ) that aim to regulate gestational weight gain require self-monitoring of energy intake, which is often significantly under-reported by participants. This article describes the use of a control systems approach for energy intake estimation during pregnancy. It relies on an energy balance model that predicts gestational weight based on physical activity and energy intake, the latter treated as an unmeasured disturbance. Two control-based observer formulations relying on Internal Model Control and Model Predictive Control, respectively, are presented in this article, first for a hypothetical participant, then on data collected from four HMZ participants. Results demonstrate the effectiveness of the method, with generally best results obtained when estimating energy intake over a weekly time period.
KW - Internal Model Control
KW - Model Predictive Control
KW - energy intake estimation
KW - gestational weight gain
KW - robustness
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U2 - 10.1002/rnc.6019
DO - 10.1002/rnc.6019
M3 - Article
AN - SCOPUS:85123894685
SN - 1049-8923
VL - 33
SP - 5105
EP - 5127
JO - International Journal of Robust and Nonlinear Control
JF - International Journal of Robust and Nonlinear Control
IS - 9
ER -