Fetal Reserve Index Algorithm for Objective Labor Risk Assessment
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Solution Overview
Problem
Current electronic fetal monitoring (EFM) systems are imprecise, subjective, and fail to effectively identify fetal risk during labor, leading to unnecessary interventions and a high rate of false positives, without adequately reducing neonatal encephalopathy or cerebral palsy rates.
Innovation Solution
A system that monitors fetal heart rate and maternal uterine activity, along with maternal and obstetrical risk factors, to objectively determine the Fetal Reserve Index (FRI), providing a graphical user interface for real-time risk assessment and intervention guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional electronic fetal monitoring (EFM) is used to identify fetal risk, then fetal heart rate patterns can be monitored, but the system produces high false positive rates and unnecessary interventions due to imprecise and subjective interpretation
Solution Approach 1:
The patent transforms multiple fetal monitoring parameters (FHR, variability, accelerations, decelerations, uterine activity) and maternal/obstetric risk factors into a standardized numerical Fetal Reserve Index score. This quantification converts subjective visual interpretation into objective numerical assessment, improving measurement precision while maintaining manageable system complexity through algorithmic processing.
Solution Approach 2:
The Fetal Reserve Index serves as an intermediary that synthesizes complex multi-parameter monitoring data into a single interpretable risk score. This intermediary layer translates raw monitoring signals and risk factor inputs into a standardized output that guides clinical decision-making, reducing the complexity of direct interpretation of multiple parameters.
2Reliability
If EFM parameters are monitored continuously to improve fetal safety, then more data is available, but the subjective interpretation leads to low sensitivity and specificity for identifying truly hypoxic fetuses
Solution Approach 1:
The patent applies parameter changes by converting qualitative EFM patterns into quantitative measurements. Each parameter (baseline FHR, variability, accelerations, decelerations, uterine activity) is measured and assigned numerical values that are systematically combined with maternal and obstetric risk factors to produce the Fetal Reserve Index, improving reliability through objective quantification.
Solution Approach 2:
The Fetal Reserve Index system performs multiple functions simultaneously: it integrates EFM parameters, assesses maternal and obstetric risk factors, quantifies overall fetal risk, and provides a standardized metric for clinical decision-making. This multi-functional approach improves reliability by considering multiple aspects of fetal well-being in a unified assessment.
3Productivity
If intervention is reserved for abnormal EFM parameters indicating significant asphyxia, then unnecessary interventions are reduced, but fetal neurological injury may occur because the system lacks discriminatory power to identify at-risk fetuses early
Solution Approach 1:
The Fetal Reserve Index enables preliminary identification of fetuses at risk by systematically evaluating EFM parameters and maternal/obstetric risk factors before severe hypoxia develops. This preliminary assessment allows early intervention planning and prevention of neurological injury while maintaining efficient labor management through standardized risk stratification.
Solution Approach 2:
The system provides continuous feedback through the Fetal Reserve Index score that reflects the current fetal risk status based on monitored parameters and risk factors. This feedback mechanism enables dynamic adjustment of management decisions, allowing timely intervention when the index indicates deteriorating fetal reserve while maintaining productivity through objective, real-time guidance.
Data Source
AI summary
An apparatus has a computer receiving input signals indicative of fetal heart rate (“FHR”) and maternal uterine activity in a patient. The computer determines when each of FHR, baseline FHR variability, FHR accelerations, FHR decelerations, and maternal uterine activity exhibit a plurality of pre-defined non-reassuring characteristics. The computer receives inputs indicating the presence of maternal, obstetrical, and fetal risk factors, and determines at predetermined times during labor a present level of risk to the fetus which accounts for the total of the number of parameters that each exhibit the non-reassuring characteristics at predetermined points in time during labor and the number of risk factors present. An output display depicts in a single graphical interface information respecting the parameters and risk factors over time during labor. The graphical interface includes indicia for indicating the present level of fetal risk at the predetermined times during labor and signals the need for intervention.