Exercise Heart Rate Tracking via Pace-Based Model Calculation
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Solution Overview
Problem
Wrist photoelectric heart rate devices during exercise are affected by interference factors like sweat and shaking, leading to inaccurate or missing heart rate readings, which complicates real-time tracking and adaptability due to individual differences in heart rate responses at the same exercise intensity.
Innovation Solution
A method and apparatus that use a target model equation relating heart rate to pace, where the current pace is input to calculate real-time heart rate, and optional adjustments are made using historical data and ECG measurements to ensure accurate tracking, filtering out errors from GPS drift and improving adaptability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If a wrist photoelectric heart rate device is used to detect exercise heart rates in real time, then continuous monitoring is achieved, but the detected heart rates become inaccurate or disappear due to interference factors like sweat, environment, and shaking
Solution Approach 1:
The patent introduces an intermediary model (the target model equation relating heart rate to pace) that mediates between the unreliable photoelectric detection and the desired accurate heart rate measurement. When photoelectric detection fails, the system uses the established mathematical model combined with GPS pace data to calculate heart rate, thus bridging the gap caused by interference factors.
Solution Approach 2:
The system implements feedback by continuously monitoring the quality of photoelectric heart rate signals and switching to alternative methods when degradation is detected. The model updating mechanism also represents feedback, where historical data is used to refine the target model equation, improving future predictions.
2Reliability
If an accelerometer is used to predict exercise heart rate changes based on exercise state changes, then heart rate tracking continues during photoelectric failure, but adaptability is poor due to large individual differences in heart rate responses at the same exercise intensity
Solution Approach 1:
The patent transforms the prediction approach by changing from accelerometer-based mechanical motion analysis to a model based on pace parameters and their relationship with heart rate. The target model equation uses pace (measurable via GPS) as the independent variable, which better captures individual physiological responses to exercise intensity while maintaining tracking continuity.
3Measurement precision
If the target model equation is used to calculate heart rate from pace, then accuracy improves by avoiding photoelectric interference, but the system requires additional components like GPS and model storage
Solution Approach 1:
The patent applies preliminary action by pre-establishing and storing the target model equation in the device's memory before exercise begins. This preparation allows the device to quickly switch to model-based calculation when needed, without requiring complex real-time computations or additional hardware during the exercise itself.
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 real-time tracking of exercise heart rates, improving adaptability and accuracy by using pace-based calculations and error correction, ensuring heart rate monitoring is reliable despite interference and individual variability.
Implementation Method 1
a wrist photoelectric heart rate device to detect the exercise heart rates
Implementation Method 2
an accelerometer is used to analyze the exercise state changes of the users before and after a moment
Data Source
AI summary
Provided are a tracking method and apparatus of an exercise heart rate, a device and a storage medium. The method includes: if the user heart rate currently detected by a photoelectric heart rate device does not meet a preset heart rate standard, invoking a pre-established target model equation reflecting the relationship between a user heart rate and a user pace; and inputting the current real-time pace of a user into the target model equation to obtain the current real-time heart rate of the user. In the technical solutions, when the user heart rate currently detected by the photoelectric heart rate device does not meet the preset heart rate standard, the current real-time pace of the user is directly input into the pre-established target model equation reflecting the relationship between the user heart rate and the user pace to obtain the current real-time heart rate of the user.

