Route Planning System for Heart Rate Management
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Solution Overview
Problem
Existing methods for planning routes for physical training fail to accurately account for the human body's changing loadability and regeneration over time, leading to potential heart rate overload, as they treat the body like a vehicle with constant energy consumption rather than considering fatigue and rest periods.
Innovation Solution
A method that calculates a load profile based on heart rate changes over time, using the Dijkstra algorithm to plan routes that take into account steepness, length, speed, and regeneration intervals, incorporating a second cost parameter for heart rate management, allowing for route re-planning if the heart rate is expected to exceed safe thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If GPS-based navigation systems are used for physical training, then route navigation capability is improved, but the system fails to account for human fatigue and regeneration, leading to potential heart rate overload
Solution Approach 1:
The patent applies dynamics by making the route planning system adaptive to changing physiological conditions. The cost function dynamically adjusts based on real-time heart rate data and accumulated load, allowing the system to respond to the athlete's changing capacity throughout the training session rather than using static pre-calculated routes.
Solution Approach 2:
The system implements feedback by continuously monitoring heart rate during exercise and using this information to recalculate remaining route feasibility. The measured heart rate values are fed back into the cost function, which then determines whether the athlete can complete the remaining route sections, enabling real-time route re-planning when necessary.
2Reliability
If the system continuously monitors and provides instructions to keep heart rate within range, then heart rate control is improved, but the training becomes burdensome and unnecessarily tiring
Solution Approach 1:
The system applies preliminary action by pre-calculating routes with embedded heart rate management strategies before training begins. The route is designed with consideration of the athlete's target heart rate zones and fitness level, so that proper effort distribution is built into the route structure in advance, reducing the need for continuous corrective instructions during training.
Solution Approach 2:
The system implements self-service by enabling the athlete to independently assess whether they can complete the remaining route based on real-time heart rate feedback and the pre-calculated cost function. The athlete receives information about their capacity to continue and can self-regulate their effort without requiring constant external coaching or intervention.
3Device complexity
If the system treats the body like a vehicle with constant energy consumption, then calculation simplicity is improved, but accuracy in predicting heart rate and load capacity deteriorates
Solution Approach 1:
The patent applies parameter changes by modifying the cost function to include heart rate-dependent parameters that change during exercise. Instead of using constant energy consumption values, the system uses heart rate measurements to dynamically adjust the cost parameters, reflecting the non-linear relationship between exercise intensity and energy expenditure.
Solution Approach 2:
The system uses partial action by implementing a simplified version of the full physiological model that is sufficient for the intended application. Rather than incorporating complete metabolic modeling, the system uses a practical approximation based on heart rate and accumulated load that provides adequate accuracy for route planning while maintaining computational efficiency.
Data Source
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AI summary
Method of route planning for physical training purposes, wherein during movement along the planned route the heart rate of the person performing the training should be kept within a given range; prior to the training the load profile of the person performing the training is recorded and the map data of the area relevant to the training is stored electronically; then, based on the recorded data pursuant to the calculation of costs it is determined whether the load is expected to fall within the permitted range. When determining the load profile of the person performing the training, the time elapsed since the beginning of the training and the amount of total load during the given elapsed time are taken into consideration, as well as whether there was a previous section moving along which the body had a chance to get partially regenerated. In the course of the route wherein the course of moving along such section the level of effort has decreased compared to previous loads and the body of the person performing the training could then have a chance to at least get partially regenerated. The maximum threshold of load related to the person performing the training is also taken into consideration when determining the load profile of such person. For the calculation of the estimate there are two costs applied to each section, from which the first cost is the quantity typical of the effort made in the course of the given section, and the second cost is the cost weighted with the prior load and the regeneration, if applicable, arising in the course of a given section. In the course of the calculation step the first costs are totalized for the entire route and the route is regarded acceptable, if the totalized cost is smaller than the cost associated with the measured threshold load. In addition, with respect to each section the second costs are compared to the appropriate section of the load profile, and if the amount of the second costs exceeds the amount permitted for the given section, the route in question is not accepted and re-planning of the route is commenced. ˙