Dynamic Health State Threshold Control Using Multi-Sensor Fusion
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Solution Overview
Problem
Conventional health monitoring techniques use static thresholds for determining health states, which are inaccurate due to individual variations in physiological and biological characteristics, and often require complex, obtrusive apparatuses that are not suitable for routine environments.
Innovation Solution
A system comprising a heart rate sensor, pressure sensing platform, and image capturing device, with a processing unit that measures and infers an individual's heart rate and fat percentage, updates the fat amount using pressure data, and dynamically controls a threshold for determining health states based on heart rate and fat percentage, facilitating accurate and non-intrusive health monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a static threshold is used for determining health states, then the device complexity is reduced, but the measurement precision deteriorates due to individual variations in physiological characteristics
Solution Approach 1:
The patent implements dynamic threshold adjustment by continuously updating the threshold value based on the individual's physiological parameters (heart rate, fat percentage, pressure data) rather than using a fixed static threshold. This allows the threshold to adapt to each individual's baseline characteristics, improving measurement precision while maintaining relatively simple device architecture.
Solution Approach 2:
The system changes the threshold parameter dynamically based on measured physiological parameters. The processing unit updates the threshold value according to the individual's heart rate, fat percentage, and pressure data, transforming a static parameter into a dynamic one that adapts to individual variations, thereby resolving the contradiction between simplicity and accuracy.
2Measurement precision
If complex apparatuses are used for determining health states, then the measurement precision is improved, but the ease of operation deteriorates as they require clinical setup and hinder regular tasks
Solution Approach 1:
The patent employs a multi-functional system that can determine health states using multiple types of sensors (heart rate sensor, pressure sensing platform, image capturing device) and various measurement approaches. This universal system can adapt to different environments and usage scenarios, from clinical settings to routine home environments, maintaining measurement precision while improving ease of operation through flexibility.
Solution Approach 2:
The system performs self-calibration and automatic threshold adjustment based on the individual's physiological data without requiring manual clinical setup. The processing unit automatically updates thresholds and determines health states, eliminating the need for complex manual configuration and enabling seamless integration into routine environments where individuals can perform regular tasks uninterrupted.
Data Source
AI summary
The present subject matter discloses a system(s) and a method(s) for determining a health state of an individual. According to an embodiment, a method comprises measuring, by a heart rate sensor, a heart rate of the individual during operation within the environment. The method further comprises outputting, by a pressure sensing platform, pressure data of the individual. Further, the method comprises outputting, by an image capturing device, image data of the individual. The method further comprises inferring, by a processing unit, an amount of fat of the individual in the image data. The method further comprises updating, by the processing unit, the amount of fat of the individual using the pressure data. The method further comprises controlling, by the processing unit, a threshold for determining the health state of the individual, using the amount of fat and the heart rate of the individual.