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A control-based observer approach for estimating energy intake during pregnancy.

L RanghettiD E RiveraP GuoA VisioliJ S SavageD Symons Downs
Published in: International journal of robust and nonlinear control (2022)
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 paper 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 paper, 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.
Keyphrases
  • weight gain
  • body mass index
  • birth weight
  • physical activity
  • weight loss
  • randomized controlled trial
  • systematic review
  • pregnant women
  • electronic health record
  • deep learning
  • depressive symptoms