Sleep Surface Sensing for Accurate Mattress-Based Sleep Analysis
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Solution Overview
Problem
Existing sleep analysis technologies fail to provide comprehensive and accurate monitoring of sleep patterns and health indicators directly from the sleep surface, lacking sensitivity and integration with personal devices for real-time feedback and environmental adjustments.
Innovation Solution
A sleep surface sensor system integrated into mattresses or bed structures that uses inductive sensors and accelerometers to monitor micro-movements, heart rate, and breathing, coupled with a processor and mobile device for real-time sleep phase detection, health issue identification, and environmental adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are integrated into the sleep surface, then measurement precision of sleep patterns and health indicators is improved, but device complexity increases
Solution Approach 1:
Multiple sensor types (inductive sensors, accelerometers, pressure sensors) are merged into a single integrated sleep surface system, allowing comprehensive monitoring of micro-movements, heart rate, breathing, and sleep phases through one unified device rather than separate monitoring systems
Solution Approach 2:
The sleep surface sensor system performs multiple functions including detecting micro-movements, monitoring heart rate, tracking breathing patterns, identifying sleep phases (REM, NREM, light, deep sleep), and detecting potential health issues, making it a multi-functional monitoring platform that replaces several separate devices
2Measurement precision
If inductive sensors are used to detect micro-movements, then measurement precision is improved, but sensitivity requirements increase system complexity
Solution Approach 1:
Traditional mechanical contact sensors are replaced with inductive sensors that detect micro-movements through electromagnetic induction, eliminating the need for direct physical contact and reducing mechanical complexity while maintaining high sensitivity to subtle movements during sleep
3Adaptability or versatility
If real-time feedback and environmental adjustments are implemented, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system continuously monitors sleep parameters in real-time and provides feedback through mobile devices to users about their sleep quality, sleep phases, and detected health issues, enabling users to make informed adjustments to their sleep environment and habits
Solution Approach 2:
A mobile device serves as an intermediary between the sleep surface sensors and the user, receiving data from sensors, processing information, and providing real-time feedback and environmental adjustment recommendations without requiring complex direct user-device interfaces
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
Provides detailed sleep analysis and health monitoring, enabling personalized recommendations and environmental adjustments to improve sleep quality and detect potential health issues promptly.
Implementation Method 1
uses inductive sensors and accelerometers to monitor micro-movements
Implementation Method 2
uses inductive sensors and accelerometers to monitor micro-movements
Data Source
AI summary
A method comprising receiving data from a sleep sensor integrated in a mattress system, the sleep sensor coupled via a cord to a data collection unit, analyzing the data at the data collection unit, and providing results of the analyzed data to a user mobile device via a wireless connection, for display to the user.