Nonbinary Respiratory Ketosis Score for Accurate Metabolic Monitoring
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Solution Overview
Problem
Current methods for monitoring ketosis, such as blood ketone detection, are inconvenient and inaccurate, and binary indicators based on respiratory exchange ratio (RER) are prone to measurement errors, leading to false results due to the gradual and partial nature of ketosis.
Innovation Solution
A non-binary respiratory ketosis score (RKS) is introduced, which uses a range of values from 0 to 1 to indicate the likelihood or significance of ketosis, incorporating RER and additional respiratory parameters like breath rate, and can be adjusted to minimize measurement errors, with optional incorporation of other sensors for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If binary indicators based on respiratory exchange ratio (RER) are used to indicate ketosis, then the indication method is simple, but measurement errors lead to false results
Solution Approach 1:
The patent transforms the binary ketosis indicator into a continuous scale from 0 to 1 by changing the output parameter structure. Instead of simple presence/absence indicators, the system now provides a gradient scale where 0 represents no ketosis and 1 represents full ketosis, allowing for more nuanced and accurate representation of the metabolic state while reducing false positives from measurement errors.
Solution Approach 2:
The system dynamically adjusts the ketosis score calculation by incorporating multiple respiratory parameters (not just RER) and using weighted combinations that can adapt to different measurement conditions. This dynamic approach allows the system to minimize measurement errors through multiple data points rather than relying on a single binary threshold.
2Measurement precision
If blood ketone detection methods are used, then ketosis detection accuracy is high, but convenience is poor
Solution Approach 1:
The patent replaces the mechanical blood sampling process with a non-invasive respiratory measurement system. By substituting breath analysis for blood draws, the system maintains ketosis detection accuracy while dramatically improving ease of operation and user convenience.
Solution Approach 2:
The system uses respiratory parameters as an intermediary to indirectly measure ketosis state without requiring direct blood sampling. The respiratory exchange ratio and other breath parameters serve as mediators that correlate with ketone levels, providing accurate detection through a less invasive pathway.
3Ease of operation
If respiratory parameters are used to monitor ketosis, then non-invasive monitoring is achieved, but measurement errors increase
Solution Approach 1:
The patent merges multiple respiratory parameters (RER, breath rate, and other exhaled breath metrics) into a single comprehensive ketosis score. By combining multiple measurement streams rather than relying on a single parameter, the system compensates for individual measurement errors and achieves both non-invasive monitoring and improved precision.
Solution Approach 2:
The system incorporates feedback mechanisms where the calculated ketosis score can be adjusted based on trends over time and comparison with expected physiological patterns. This feedback loop helps distinguish between temporary measurement fluctuations and genuine changes in metabolic state, improving overall measurement precision.
Data Source
AI summary
Embodiments of the invention are generally directed to using breath measurement to identify certain physiological states, conditions and disorders. In one example, breath measurement may be used in producing a non-binary indicator of the likelihood or extent to which a subject is experiencing or approaching ketosis. Other metabolic or respiratory states may be indicated and/or identified.