Exercise System Modulating Muscle Energy Output via Real-Time Biofeedback
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Solution Overview
Problem
Current sports monitoring devices fail to simultaneously measure and modulate energy output from multiple muscle groups, including arms, legs, and core, to optimize exercise performance and prevent exceeding the lactate threshold, while also considering geographic data for optimal exercise routes.
Innovation Solution
A system that measures physiologic parameters in real-time, processes geographic data, and calculates energy modulation recommendations for muscle groups to optimize exercise performance by broadcasting adjustments to the user, using watt meters, bio sensors, and a computing device with a database to store baseline and real-time data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time measurement of multiple muscle groups is implemented, then exercise performance optimization is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple measurement functions (watt meters for power output, bio sensors for metabolic markers, geographic data collection) into a single integrated system that processes all data together to provide comprehensive exercise optimization, reducing the complexity of having separate devices for each function
Solution Approach 2:
The computing device serves multiple functions: storing baseline data, processing real-time measurements, analyzing geographic information, calculating energy modulation recommendations, and broadcasting feedback to the user, replacing what would otherwise require multiple specialized devices
2Reliability
If energy modulation recommendations are calculated and broadcast in real-time, then lactate steady-state optimization is improved, but information processing requirements increase
Solution Approach 1:
The system collects and stores baseline bio marker data before exercise begins, so that when real-time measurements are taken during exercise, the computing device can quickly compare against pre-stored baseline information and geographic data, reducing the amount of information that needs to be processed in real-time
Solution Approach 2:
The system continuously monitors real-time bio marker measurements and power output, compares them against baseline data and geographic conditions, calculates energy modulation recommendations, and broadcasts feedback to the user, creating a closed-loop system that optimizes lactate steady-state maintenance through iterative adjustment
Data Source
AI summary
A system and method for optimizing a person's muscle group performance thru modulating the arm, leg, and core muscle exertion rate based upon the exerciser's metabolic and geographic data. The system uses real-time measurement gathering and storing of physiologic parameters from humans during physical exercise activity and the geographic data of the exercise activity to determine information for optimizing the exerciser's physical exercise performance of the basic working muscle groups in the rider's arms, legs, and core. The system broadcasts to exercisers information including, but are not limited to: a) the current condition of their monitored muscle tissue, b) which muscle groups the riders should modulate and change their level of energy output during the exercise activity, and c) level of energy exertion at which riders should be employing at that moment in the relevant working muscle groups to optimize their physical exercise performance.