Heart Rate Variation Analysis for Personalized Fat Burning Thresholds
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Solution Overview
Problem
Existing heart rate monitoring systems lack accuracy in determining optimal exercise intensity levels and fat burning rates, as these vary significantly among individuals and are influenced by daily physical conditions, making it difficult for users to achieve their fitness goals.
Innovation Solution
An electronic device and method that receive heart rate data, calculate heart rate variation, and analyze it to determine threshold values for fat burning, allowing for personalized exercise intensity recommendations based on the correlation between heart rate and heart rate variation data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If heart rate monitoring is used to estimate fat burning, then exercise intensity can be monitored, but the accuracy is insufficient because fat burning varies greatly among individuals and daily conditions
Solution Approach 1:
The patent changes from using only heart rate as a parameter to using heart rate variation (HRV) parameters in addition to heart rate. HRV provides additional physiological information that varies with individual characteristics and daily conditions, enabling more accurate and adaptive fat burning estimation that accounts for personal differences in fat burning characteristics.
2Ease of operation
If fixed intensity levels are recommended for exercise, then users can follow simple guidelines, but these do not account for daily physical condition variations
Solution Approach 1:
The patent implements feedback by continuously monitoring both heart rate and heart rate variation during exercise, then using this real-time data to dynamically determine and adjust fat burning threshold values. This feedback mechanism allows the system to adapt to daily physical condition variations while providing reliable, personalized exercise intensity recommendations.
Solution Approach 2:
The patent performs preliminary determination of fat burning threshold values by analyzing heart rate and heart rate variation data before and during exercise sessions. This preliminary analysis establishes personalized baseline values that account for individual characteristics, which then guide exercise intensity recommendations.
3Adaptability or versatility
If general population averages are used for fat burning estimation, then simple guidelines can be provided, but personal fitness levels and characteristics are not considered
Solution Approach 1:
The patent enables self-service by using the user's own physiological data (heart rate and heart rate variation) to determine their personal fat burning threshold values. The system automatically analyzes the user's unique physiological responses during exercise and generates personalized recommendations without requiring external calibration or complex manual setup, making personalization accessible despite the sophisticated analysis methodology.
Data Source
AI summary
There is provided electronic device, comprising: a receiving unit configured to receive heart rate data generated by a heart rate measuring system; a calculation unit configured to calculate heart rate variation data on the basis of the received heart rate data. The electronic device further comprises: a processing unit configured to analyse the calculated heart rate variation data in comparison with the corresponding heart rate data, and to determine at least one threshold value for fat burning on the basis of the analysis.


