Stamina Estimation via Multi-Parameter Physiological Feedback
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Solution Overview
Problem
Existing exercise assistive devices fail to accurately indicate a user's stamina level, making it difficult for users to determine when to adjust exercise intensity, as physiological signals like heart rate do not reliably correlate with physical strength and endurance.
Innovation Solution
An exercise assistive device with a sensor module to sense ECG or optical signals, a processing module to estimate stamina levels based on initial categories, and a user interface to send notifications when thresholds are reached, allowing for adjustments to these categories based on sustained performance levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physiological signals (heart rate) are used to indicate exercise status, then the device can provide real-time monitoring, but the indication cannot reliably correlate to user's physical strength and endurance
Solution Approach 1:
The device uses feedback from multiple physiological signals (heart rate, skin temperature, sweat rate) to continuously adjust and refine the stamina level estimation. The processing module compares current signal patterns against stored reference data and adjusts the stamina category dynamically, providing increasingly accurate indications as the exercise progresses and the system adapts to individual user responses.
Solution Approach 2:
The system changes from using a single physiological parameter (heart rate) to multiple parameters (skin temperature, sweat rate, heart rate variability). By incorporating and weighting multiple parameters, the system achieves more reliable and accurate stamina indication that better correlates with actual physical strength and endurance levels.
2Ease of operation
If only physiological signals are provided, then the device remains simple, but it has no or little effect for users to decide when to adjust exercise intensity
Solution Approach 1:
The processing module acts as an intermediary that translates complex, raw physiological signals into a simplified, intuitive stamina level indication. Instead of presenting users with raw heart rate data or multiple physiological parameters, the system provides a single, easy-to-understand stamina level that directly guides exercise intensity decisions while maintaining reliability.
Solution Approach 2:
The system transforms multiple physiological parameters into a normalized stamina level parameter that is both reliable for decision-making and easy to interpret. This parameter transformation makes the information actionable for users, enabling them to confidently adjust exercise intensity based on clear, reliable indications.
3Adaptability or versatility
If stamina category is adjusted frequently, then the indication adapts to user's changing condition, but the system complexity increases
Solution Approach 1:
The system uses feedback loops that continuously monitor physiological signals and automatically adjust stamina categories based on observed patterns. The processing module compares current signal characteristics against stored references and autonomously determines when category adjustments are appropriate, adapting to user conditions without requiring manual intervention or complex user input.
Solution Approach 2:
The stamina category adjustment operates autonomously based on predefined criteria and reference data. The system self-regulates by comparing current physiological measurements against stored benchmarks and automatically determining when adjustments are needed, reducing the need for complex control mechanisms or user involvement in the adjustment process.
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
The device provides reliable and accurate stamina level indication, enabling users to adjust their exercise intensity effectively, improving workout performance and safety by correlating physiological signals with stamina categories.
Implementation Method 1
a sensor module having at least one electrode to sense an ECG signal of the user
Implementation Method 2
a sensor module having at least one optical sensor to sense a physiological signal of a user
Data Source
AI summary
The present disclosure provides an exercise assistive device. The present disclosure also provides a method for estimating stamina level and a method for adjusting stamina category. The present disclosure further provides the several types and applications of the exercise assistive device.