Anaerobic Threshold Detection via Heart Rate Variability Analysis
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Solution Overview
Problem
Current methods for determining the anaerobic threshold, such as VO2 max testing, are not suitable for children and elders due to the need for intense exercise and expensive equipment, and existing heart rate-based methods can be inaccurate for users with different physical fitness conditions.
Innovation Solution
An exercise guiding system that measures and analyzes the R-R interval to calculate the anaerobic threshold using heart rate variability analysis, providing a cost-effective and accurate method for determining the anaerobic threshold without expensive instruments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If VO2 max testing is used to determine anaerobic threshold, then measurement accuracy is improved, but device cost and complexity increase significantly
Solution Approach 1:
The patent replaces complex mechanical testing equipment (VO2 max testing instruments) with an electronic device that uses software algorithms to process heart rate data. The anaerobic threshold determination is achieved through computational methods rather than expensive physical testing equipment, substituting mechanical/physical measurement systems with electronic information processing systems.
Solution Approach 2:
The patent creates a simplified model or copy of the VO2 max testing functionality using heart rate data analysis. Instead of requiring actual VO2 max testing equipment, the system replicates the analytical capability through software algorithms that process readily available heart rate information, providing equivalent functional value at lower cost.
2Measurement precision
If VO2 max testing is used to determine anaerobic threshold, then measurement accuracy is improved, but ease of operation deteriorates due to intense exercise requirements
Solution Approach 1:
The patent replaces the physically demanding mechanical testing process with an electronic data analysis system. The intense exercise requirement is eliminated by using heart rate data from regular exercise or even resting measurements, processing the information through algorithms to determine anaerobic threshold without requiring users to undergo strenuous testing protocols.
Solution Approach 2:
The system enables users to obtain their anaerobic threshold information through their own regular heart rate measurements during normal activity. The electronic device automatically processes the data and provides results without requiring professional testing facilities or intensive exercise protocols, making the service accessible to users in their daily lives.
3Ease of operation
If heart rate-based methods are used to determine anaerobic threshold, then ease of operation is improved, but measurement precision deteriorates for users with different physical fitness conditions
Solution Approach 1:
The patent implements dynamic adjustment of reference values based on individual user characteristics. Instead of using fixed heart rate thresholds for all users, the system adapts the analysis parameters according to each user's physical fitness level, age, and other personal factors. This dynamic approach maintains measurement convenience while improving accuracy across diverse user populations.
Solution Approach 2:
The patent applies personalized analysis parameters tailored to each user's specific characteristics. The system adjusts the heart rate data interpretation based on individual fitness levels, creating locally optimized measurement criteria for each user rather than applying a universal standard. This ensures accurate results for both highly fit individuals and those with lower fitness levels.
Data Source
AI summary
The present disclosure provides an exercise guiding system including a sensing module, a calculating module, a converting module and an output module. The sensing module keeps recording an R-R interval of a user doing exercise. The computing module receives the R-R interval from the sensing module and performs heart rate variability analysis on the R-R interval to generate a first output. The converting module receives the first output from the calculating module, recognizes a threshold output of the first output according to a threshold and acquires an anaerobic threshold corresponding to the user according to the threshold output, wherein the anaerobic threshold corresponding to the user is a first heart rate corresponding to the threshold output in the R-R interval. The output module receives the anaerobic threshold from the converting module and outputs an exercise guidance of the user according to the anaerobic threshold.