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Updated: Nov 3, 2025

Non-invasive Optical Measurement of Cerebral Metabolism and Hemodynamics in Infants
Published on: March 14, 2013
Optode Design Space Exploration for Clinically-robust Non-invasive Fetal Oximetry
Daniel D Fong1, Vivek J Srinivasan1, Kourosh Vali1
1University of California, Davis, 1 Shields Avenue, Davis, CA, 95616.
Non-invasive fetal oximetry (TFO) uses light to assess fetal well-being during labor. This study optimizes TFO probe design to ensure reliable performance across diverse maternal anatomies, improving fetal monitoring.
Area of Science:
- Biomedical Engineering
- Medical Physics
- Obstetrics
Background:
- Non-invasive transabdominal fetal oximetry (TFO) offers an objective measure of fetal well-being during labor.
- TFO technology involves transmitting light through maternal tissues to assess fetal oxygenation.
- Variations in maternal anatomy significantly impact fetal depth, complicating TFO system design and performance.
Purpose of the Study:
- To develop a methodology for optimizing optical probe (optode) design for transabdominal fetal oximetry.
- To address the challenge of varying fetal depths due to anatomical differences among pregnant women.
- To balance competing design objectives of hardware complexity and performance robustness across diverse patient populations.
Main Methods:
- Framing optode design as a multi-objective optimization problem, considering cost and robustness.
- Employing a model-based approach to characterize Pareto-optimal points in the design space.
- Utilizing simulation and in vivo measurements on pregnant sheep for experimental validation.
Main Results:
- A methodology was presented for systematic optode design space exploration.
- The approach effectively characterized trade-offs between hardware complexity and performance robustness.
- Simulations and in vivo experiments validated the proposed methodology's efficacy.
Conclusions:
- The developed methodology enables optimized optode design for TFO systems.
- This optimization enhances the robustness and reliability of fetal well-being monitoring.
- The approach holds potential for improving delivery outcomes through better fetal assessment during labor.
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