Bed-Embedded Weight Sensor for Continuous Health Monitoring
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Solution Overview
Problem
Users often fail to consistently track their weight and health-related attributes due to varying levels of health consciousness, leading to potential deterioration in health metrics when they are less focused on monitoring their weight.
Innovation Solution
A weight data sensor embedded in a bed that silently tracks an individual's weight and other health metrics while they sleep, transmitting data to a hosted service for analysis and providing a user interface for tracking patterns, allowing for alerts on significant weight changes without requiring conscious weighing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually step on a weight scale to track their weight, then weight data can be obtained, but consistency in tracking deteriorates when users are less health conscious
Solution Approach 1:
The system enables automatic weight tracking without requiring user action. The weight sensor embedded in the bed automatically detects when the user is in bed and measures their weight, eliminating the need for the user to consciously operate a scale. This self-service approach ensures consistent tracking regardless of the user's health consciousness level.
Solution Approach 2:
The patent replaces the manual mechanical action of stepping on a scale with an automated sensor-based system. The weight sensor electronically detects weight through the bed structure, substituting the mechanical user action with an automated detection mechanism that operates passively.
2Ease of operation
If a weight scale is placed in a convenient location, then ease of use improves, but users still may not use it consistently without conscious effort
Solution Approach 1:
The patent merges the weight tracking function with the bed itself. The weight sensor is integrated into the bed structure, combining two separate functions (sleeping and weight measurement) into a single system. This eliminates the need for a separate scale and ensures weight tracking occurs automatically as part of the normal sleeping routine.
Solution Approach 2:
The system performs weight tracking automatically without requiring user initiation. The embedded sensor continuously monitors weight and automatically transmits data when the user is detected in bed, making the system self-operating and ensuring consistent tracking frequency.
3Loss of information
If users actively monitor their weight regularly, then health deterioration is detected earlier, but this requires continuous conscious effort and time
Solution Approach 1:
The system enables continuous weight monitoring by embedding the sensor in the bed. Weight data is collected automatically every time the user sleeps in the bed, creating a continuous stream of measurements without requiring periodic user intervention. This ensures health changes are detected continuously over time.
Solution Approach 2:
The patent replaces the time-consuming manual process of weighing and data entry with automated electronic sensing and wireless data transmission. The system automatically captures weight data, transmits it to the server, and updates the user interface, eliminating the time users would spend on these manual tasks.
4Extent of automation
If a weight sensor is embedded in the bed, then automatic tracking is achieved, but device complexity increases
Solution Approach 1:
The bed with embedded weight sensor serves multiple functions: it provides the primary sleeping function and simultaneously acts as a weight measurement device. This multi-functionality justifies the added complexity by eliminating the need for a separate scale and ensuring consistent tracking integration into daily routine.
Solution Approach 2:
The patent introduces a hosted service as an intermediary that handles data processing, storage, and analysis. This intermediary absorbs much of the system complexity by managing sensor data transmission, user authentication, health trend analysis, and interface generation, allowing the embedded sensor itself to remain relatively simple.
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
Enables continuous, unconscious tracking of weight and health metrics, providing users with insights and alerts on weight changes without the need for frequent scale use, promoting consistent health monitoring and awareness.
Implementation Method 1
A weight data sensor situated within the bed silently tracks the individual's weight
Data Source
AI summary
Embodiments herein provide systems and methods tracking the weight of an individual who is lying in bed. One method generally includes periodically receiving weight data from a weight data sensor that is situated within the bed, wherein the weight data sensor has recognized a change in weight on the bed from a default weight of the bed, and providing to the individual a user interface to track weight patterns of the individual based on the received weight data.