Sleep Phase Selection Using Physiological Feedback and Sound Guidance
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Solution Overview
Problem
Existing sleep improvement devices primarily focus on providing white noise, nature sounds, or music on a timer, but they do not effectively guide users into optimal sleep phases or wake them at the perfect time for enhanced rest and refreshment.
Innovation Solution
A system that utilizes a physiological monitor to detect the user's current sleep state, determines environmental factors, and adjusts conditions such as sounds, odors, tactile outputs, and environmental settings to guide the user into optimal sleep phases and wake them at the most refreshing time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional white noise or music devices are used to help users sleep, then users can block out background sounds and fall asleep, but the system cannot guide users into optimal sleep phases or wake them at the most refreshing time
Solution Approach 1:
The system continuously monitors physiological parameters (heart rate, respiratory rate, body temperature) and uses this feedback to detect sleep phases and dynamically adjust environmental conditions. This closed-loop feedback mechanism enables the system to identify optimal sleep phases and wake times based on real-time physiological data, resolving the information loss problem of traditional devices.
Solution Approach 2:
The patent replaces simple timer-based mechanical control with physiological monitoring and automated decision-making systems. Sensors detect biological signals, and a processing system analyzes these signals to determine sleep phases, substituting the mechanical timer with an intelligent system that adapts to individual physiological patterns.
2Reliability
If the system continuously monitors physiological parameters and adjusts environmental conditions, then optimal sleep phases can be achieved, but device complexity increases
Solution Approach 1:
The system integrates multiple functions into a single device: physiological monitoring, sleep phase detection, environmental sensing, and conditional control. By making the sleep system multi-functional, the patent reduces the need for separate devices while achieving accurate sleep phase guidance, thus managing complexity through consolidation rather than proliferation of components.
Solution Approach 2:
The system automatically monitors physiological parameters, determines sleep phases, and adjusts environmental conditions without requiring user intervention. This self-service capability reduces operational complexity for users while maintaining high reliability in sleep phase guidance through automated physiological-based control.
Data Source
AI summary
A sleep sensing system comprising a sensor to obtain real-time information about a user, a sleep state logic to determine the user's current sleep state based on the real-time information. The system further comprising a sleep stage selector to select an optimal next sleep state for the user, and a sound output system to output sounds to guide the user from the current sleep state to the optimal next sleep state.


