Sleep Surface Temperature Control Based on Sleep Stage Detection
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Solution Overview
Problem
Many individuals fail to achieve good quality sleep despite having sufficient time and preparation, highlighting the need for improved sleep environment temperature control.
Innovation Solution
A bed system with a controller that adjusts the sleep surface temperature based on user biometrics, sleep stages, and time, using thermoelectric devices and resistive heating to optimize sleep quality through dynamic temperature adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the sleep surface temperature is maintained at a constant level, then the device complexity is reduced, but the sleep quality deteriorates due to inability to adapt to different sleep stages
Solution Approach 1:
The temperature control system dynamically adjusts the sleep surface temperature based on detected sleep stages. During deep non-REM sleep, the system maintains a lower temperature to promote deeper sleep, while during REM sleep, it increases the temperature. This dynamic adaptation resolves the contradiction by making the system complex enough to respond to physiological needs while maintaining reliable sleep quality improvement.
Solution Approach 2:
The system uses biometric sensors to continuously monitor sleep stages and provides feedback to the temperature control mechanism. This closed-loop feedback system detects changes in sleep depth and automatically adjusts temperature accordingly, ensuring reliable sleep quality enhancement without requiring manual intervention or overly complex user interaction.
2Reliability
If the temperature is reduced during deep sleep stages, then sleep quality is improved, but energy consumption increases due to active cooling requirements
Solution Approach 1:
The system applies periodic temperature adjustments synchronized with natural sleep cycle patterns. Cooling is activated during deep non-REM sleep stages and deactivated during REM stages, creating a periodic action pattern that matches physiological sleep rhythms. This reduces overall energy consumption compared to continuous cooling while maintaining sleep quality benefits during critical deep sleep periods.
Solution Approach 2:
The system changes temperature parameters dynamically based on sleep stage detection. Rather than maintaining a constantly low temperature, the system adjusts the temperature parameter up and down according to physiological needs, reducing energy consumption by eliminating the need for continuous active cooling while still achieving the sleep quality improvements during deep sleep stages.
3Reliability
If temperature adjustments are made based on sleep stages, then sleep quality is optimized, but the difficulty of detecting and measuring sleep stages increases
Solution Approach 1:
The system uses multi-functional biometric sensors that can detect multiple physiological parameters (heart rate, respiration, motion) simultaneously. These sensors serve universal purposes by monitoring both sleep stage detection and providing safety monitoring functions, reducing the complexity of implementing dedicated detection systems while achieving reliable sleep stage identification for temperature optimization.
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
Enhances sleep quality by promoting deeper sleep stages and aligning temperature settings with the user's sleep cycle, thereby improving overall sleep experience.
Implementation Method 1
the heating or cooling of air is performed using a thermoelectric device
Implementation Method 2
the at least the portion of the sleep surface is set to the first and second temperatures using a resistive heating device
Data Source
AI summary
A bed includes components to control temperature of a sleep surface, for example based on time and historical usage patterns by a user. In some embodiments the temperature of the sleep surface is controlled based on information indicating a sleep state of the user. In some embodiments the temperature is dynamically adjusted so to achieve particular sleep states and/or sleep patterns for the user. In some embodiments the temperature and timing of temperature adjustments is iteratively adjusted over multiple sleep sessions so to achieve improvements in sleep states and/or sleep quality for the user.