System Identification Approaches For Energy Intake Estimation: Enhancing Interventions For Managing Gestational
Penghong Guo, Daniel E Rivera1, Jennifer S Savage2
1Control Systems Engineering Laboratory (CSEL), School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ, 85281 USA.
IEEE Transactions on Control Systems Technology : a Publication of the IEEE Control Systems Society
|January 7, 2020
Summary
Accurate gestational weight management is crucial. New methods improve energy intake assessment in pregnant women, addressing underreporting to enhance weight control interventions.
Area of Science:
- Obstetrics and Gynecology
- Public Health
- Biomedical Engineering
Background:
- Excessive gestational weight gain is a significant public health issue.
- Accurate assessment of energy intake is vital for effective weight management during pregnancy.
- Energy intake underreporting complicates weight control in intervention studies like Healthy Mom Zone (HMZ).
Purpose of the Study:
- To develop and evaluate novel estimation approaches for addressing energy intake underreporting in pregnant women.
- To improve the accuracy of weight control assessment in gestational weight management interventions.
- To provide insights into the application of advanced methods for real-time energy intake estimation.
Main Methods:
- Developed three estimation approaches: energy balance model back-calculation, Kalman filtering, and semi-physical identification.
- These methods address measurement noise and losses in energy intake data.
- Evaluated approaches using participant data from the Healthy Mom Zone (HMZ) intervention study.
Main Results:
- The developed methods demonstrated potential in assessing and correcting for energy intake underreporting.
- Results indicate improved accuracy in weight control assessment within the HMZ study.
- The approaches show promise for real-time estimation and adjustment of self-reported energy intake.
Conclusions:
- Novel estimation techniques can effectively address energy intake underreporting in pregnancy.
- These methods enhance the reliability of energy balance models for gestational weight management.
- The study provides valuable insights for future applications in clinical interventions and research.
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