Analyte Detection System for Cardiac Output Estimation

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Solution Overview

Problem

Current analyte monitoring systems in clinical settings face challenges in accurately determining physiological parameters, such as cardiac output, due to limitations in measuring venous and arterial hemoglobin levels, and require improved methods for estimating oxygen extraction ratios.

Innovation Solution

The system combines an analyte detection system for measuring venous hemoglobin concentration with a pulse oximeter for arterial hemoglobin saturation, using the Fick principle and statistical estimation techniques to estimate cardiac output, and employs a method involving illumination with multiple wavelengths of radiation to determine analyte concentrations, including hemoglobin, through transmission spectra analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If multiple analyte detection systems are integrated to improve measurement accuracy, then physiological parameter determination accuracy is improved, but device complexity increases

Engineering Contradiction:

Improvephysiological parameter determination accuracyVSAvoidsystem integration complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent combines multiple analyte detection systems (venous hemoglobin analyzer and arterial hemoglobin saturation monitor) into an integrated system that shares common infrastructure such as processor, memory, and communication interfaces. This merging approach enables accurate physiological parameter determination through multi-parameter measurement while reducing overall system complexity by eliminating redundant components.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The integrated system employs universal components that serve multiple functions: the processor handles data from both venous and arterial analyte measurements, the communication interface manages data exchange between different measurement devices, and the memory stores diverse physiological data types. This multi-functionality reduces device complexity while maintaining measurement precision.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Adaptability or versatility

If measurements are taken at different time points by different instruments, then measurement flexibility is improved, but data synchronization and parameter determination reliability worsen

Engineering Contradiction:

Improvemeasurement timing flexibilityVSAvoidparameter determination reliability

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system performs preliminary actions by pre-collecting and storing analyte measurement data from both venous and arterial sources in a centralized memory before physiological parameter calculation is required. This preliminary data acquisition and storage enables flexible measurement timing while ensuring data reliability through proper data validation and synchronization protocols executed before parameter determination.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms that continuously monitor data quality and timing from multiple analyte detection systems. The processor evaluates the reliability of collected data and adjusts parameter determination calculations accordingly, providing feedback control that maintains determination reliability even when measurements are taken at different time points with flexible timing.

Inventive Principle:

Principle #23Feedback

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach enables accurate determination of physiological parameters like cardiac output and oxygen extraction ratios, improving monitoring capabilities in clinical settings by integrating multiple measurement techniques and statistical methods.

Implementation Method 1

measuring, by the first analyte detection system, one or more analyte values in the fluid sample

Methodology Applied

Scientific EffectAbsorption Spectroscopy: Absorption Spectroscopy

Implementation Method 2

measuring, by a second analyte detection system, one or more analyte values in the patient

Methodology Applied

Scientific EffectPhotometry: Absorption Spectroscopy

Implementation Method 3

using the Fick principle and statistical estimation techniques to estimate cardiac output

Methodology Applied

Scientific EffectFick Principle:

Data Source

PatentUS8412293B2Systems and methods for determining physiological parameters using measured analyte values

Publication Date: 2013.04.02 INSULET CORP

AI summary

Systems and methods for determining a physiological parameter in a patient are provided. In certain embodiments, a system can include an analyte detection system configured to measure first analyte data in a fluid sample received from a patient, a medical sensor configured to measure second analyte data in the patient, and a processor configured to receive the first analyte data and the second analyte data and to determine a physiological parameter based at least in part on the first analyte data and the second analyte data. In certain such embodiments, the medical sensor may be a pulse oximeter, and the physiological parameter may include a cardiovascular parameter including, for example, cardiac output.