Bed Device System with Biometric Feedback for Sleep Phase Adaptation
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Solution Overview
Problem
Current sleep technologies, such as electric blankets, require manual operation and lack advanced features to support healthy sleep, failing to adapt to the user's sleep phase and environmental conditions.
Innovation Solution
A system that gathers human biological signals like heart rate, breathing rate, and temperature, and uses these data to control home appliances or a bed device system, optimizing the sleep environment based on the user's sleep phase and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual operation of sleep technologies like electric blankets is used, then device complexity is reduced, but adaptability to user's sleep phase and environmental conditions deteriorates
Solution Approach 1:
The system performs preliminary actions by detecting sleep phase transitions before they fully occur, using sensors to monitor physiological changes (heart rate, breathing patterns, body temperature) and preemptively adjusting bed conditions. This allows the system to prepare the sleep environment in advance, improving adaptability while managing complexity through proactive rather than reactive control.
Solution Approach 2:
The system implements continuous feedback loops where sensors monitor user physiological states and environmental conditions, and the control system adjusts bed parameters (temperature, firmness, positioning) based on this feedback. This closed-loop control enables real-time adaptability to sleep phase changes while maintaining manageable complexity through automated decision-making algorithms.
2Adaptability or versatility
If automated control systems with sensors are implemented, then adaptability to sleep phase improves, but device complexity increases
Solution Approach 1:
The bed system integrates multiple functions into a single platform, combining sleep phase detection, environmental sensing, and various adjustment capabilities (temperature control, firmness adjustment, positioning) into one universal device. This multi-functionality improves adaptability to different sleep phases and environmental conditions while managing complexity through integration rather than separate systems.
Solution Approach 2:
The system merges previously separate functions (mattress, sensors, actuators, control unit) into an integrated bed system where components work together as a unified whole. This consolidation improves adaptability by enabling coordinated responses to sleep phase changes while reducing overall system complexity through unified control architecture and shared infrastructure.
3Reliability
If continuous monitoring of biological signals is performed, then sleep quality optimization improves, but use of energy increases
Solution Approach 1:
The system employs periodic monitoring and adjustment cycles rather than continuous operation, where sensors take measurements at intervals and the control system makes adjustments at appropriate moments in the sleep cycle. This periodic approach maintains reliable sleep quality monitoring while significantly reducing energy consumption compared to continuous operation.
Solution Approach 2:
The system uses passive sensing techniques where possible, relying on natural physiological signals (body heat, movement, breathing patterns) that can be detected without active energy input from the user. The bed system serves itself by using the user's own biological signals as the monitoring source, minimizing additional energy requirements while maintaining reliable sleep quality assessment.
Data Source
AI summary
Introduced are a bed device system and methods for: gathering human biological signals, such as heart rate, breathing rate, or temperature; analyzing the gathered human biological signals; and controlling the bed device system, e.g., a temperature of the bed device, based on the analysis.