Adaptive Exercise Training System with Real-Time Target Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current rehabilitation and training systems lack the ability to dynamically adjust exercise targets in real-time, leading to potential demotivation and prolonged duration, especially in unsupervised home programs, as they require frequent specialist visits to reassess patient performance.
Innovation Solution
A system comprising a sensing device, analyzer, and controller that monitors exercise parameters, adjusts target levels based on actual performance, and updates exercise targets using a coefficient matrix generated from training data, allowing for real-time adaptation of exercise intensity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the rehabilitation program uses fixed target levels predefined by specialists, then the program structure is simple and easy to implement, but the program duration becomes too long and patient compliance decreases
Solution Approach 1:
The patent implements dynamic adjustment of exercise target levels by automatically updating targets based on real-time performance data collected during exercise sessions. The system transitions from static, pre-defined targets to dynamic targets that adapt to the patient's actual progress, allowing the program to be both simple to implement and sufficiently short to maintain compliance.
Solution Approach 2:
The system incorporates continuous feedback loops where performance data from sensors is automatically analyzed and used to adjust subsequent exercise targets. This closed-loop feedback mechanism enables the program to adapt to patient progress without requiring frequent specialist visits, thereby reducing program duration while maintaining effectiveness.
2Measurement precision
If the system requires frequent specialist visits to reassess patient performance, then the target level adjustment is accurate and personalized, but the time consumption and complexity of the program increase
Solution Approach 1:
The system enables self-service performance assessment by automatically collecting, analyzing, and interpreting exercise data through integrated sensors and algorithms. The system independently determines when target level adjustments are needed and what those adjustments should be, eliminating the need for frequent specialist visits while maintaining assessment accuracy.
Solution Approach 2:
The patent replaces the manual, mechanical process of specialist assessment with an automated electronic system that uses sensors, processors, and algorithms to evaluate performance and adjust targets. This substitution dramatically reduces time consumption while maintaining or even improving measurement precision through consistent, objective data analysis.
3Ease of operation
If the rehabilitation program is designed for unsupervised home use, then patient convenience and accessibility are improved, but patient motivation decreases and compliance becomes difficult to ensure
Solution Approach 1:
The system maintains patient motivation in unsupervised home use by dynamically adjusting exercise targets to match actual performance levels. This prevents both boredom from overly easy exercises and frustration from overly difficult ones, ensuring continuous engagement and compliance without requiring supervisor presence.
Solution Approach 2:
The system provides immediate, automated feedback on performance and progress, creating a sense of achievement and continuous engagement. This real-time feedback loop replaces the motivational role of supervisor presence, enabling reliable compliance in unsupervised home rehabilitation settings.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A method of providing a training program including at least a first exercise and a second exercise, the method comprising the steps of: acquiring one or more parameters associated with the first exercise performance of a subject; and adjusting, based on said one or more parameters, one or more target values of the second exercise to be provided after said first exercise.