Submaximal VO2max Estimation via Respiratory Gas Analysis
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Solution Overview
Problem
Current methods for assessing endurance performance, such as determining Vo2max, require maximum workload, which can be limiting, especially for individuals with clinical conditions, and lack minimal stress and differentiation capabilities.
Innovation Solution
A method using a sensor unit in a headset to measure respiratory gas composition and control training units based on physiological parameters, allowing for submaximal exercise by regulating oxygen uptake between 20% and 80% of Vo2max without maximum workload, using regression functions and resistance adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If maximum workload is applied to determine VO2max, then accurate maximum performance parameter is obtained, but significant stress and exhaustion are imposed on the subject
Solution Approach 1:
The patent applies submaximal exercise workloads (partial action) instead of maximal exercise to determine performance parameters. By measuring respiratory gas exchange at submaximal intensities and using regression analysis, the system can estimate VO2max without requiring the subject to exert themselves to complete exhaustion, thus reducing stress while maintaining measurement accuracy.
Solution Approach 2:
The patent changes the measurement approach from direct maximal exercise measurement to indirect submaximal measurement with mathematical extrapolation. By measuring respiratory parameters (O2 uptake, CO2 output) at lower intensities and using regression functions to predict maximum values, the system achieves accurate VO2max determination without the harmful effects of maximal exertion.
2Object-affected harmful factors
If submaximal exercise is used to reduce stress, then comfort is improved, but differentiation capability between performance levels may be reduced
Solution Approach 1:
The patent uses continuous feedback from respiratory gas analysis sensors to monitor O2 uptake and CO2 output during submaximal exercise. This real-time data, combined with regression analysis, allows the system to accurately differentiate between various performance levels and estimate VO2max, maintaining measurement precision while using lower exercise intensities.
Solution Approach 2:
The patent replaces direct mechanical measurement of maximal performance (which requires maximal physical exertion) with a computational approach using respiratory gas analysis and regression mathematics. This substitution allows for accurate performance differentiation through chemical/biological measurements (gas exchange) and mathematical modeling rather than purely mechanical stress.
3Measurement precision
If VO2max determination requires complete exhaustion, then maximum performance parameter is accurately obtained, but application is limited for individuals with medical conditions
Solution Approach 1:
The patent enables performance assessment for individuals with medical conditions by using submaximal exercise protocols (partial action) instead of requiring complete exhaustion. The regression analysis allows accurate VO2max estimation even when the subject cannot or should not exercise to maximum capacity, thus expanding applicability to clinical populations.
Solution Approach 2:
The patent changes the exercise intensity parameter from maximal to submaximal levels, making the test safe and applicable for individuals with cardiovascular or respiratory conditions. By using mathematical extrapolation from submaximal data, the system maintains measurement accuracy while improving safety and adaptability for clinical use.
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
Enables controlled and regulated training or rehabilitation without maximum workload, providing reproducible and individualized performance assessments and training strategies, suitable for both humans and animals, with enhanced comfort and efficiency.
Implementation Method 1
the flow direction of the respiratory gas is determined either by using the measured oxygen and/or carbon dioxide concentration gradients
Implementation Method 2
the flow direction of the respiratory gas is determined either by using the measured oxygen and/or carbon dioxide concentration gradients or the temperature profile on the sensor
Data Source
AI summary
The invention relates to a method for controlling and/or regulating a training and/or rehabilitation unit, wherein a) a sensor unit is used in the flow of inspiration and expiration air of a person or an animal using the training and/or rehabilitation unit, b) physiological parameters of ventilation and/or gas exchange of the person or the animal are determined using the respiratory gas composition and/or breath volume measured using the sensor unit, c) one or more maximum performance variables are determined on the basis of the determined parameters under submaximal loading, using a regression function and/or by limit loading to the maximum performance capability, and d) a resistance or brake arrangement of the training and/or rehabilitation unit is controlled and/or regulated as a function of at least one of the determined maximum performance variables.