Sleep Optimization System Using Sensory Stimuli
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Solution Overview
Problem
Individuals often experience difficulties in achieving optimal sleep patterns due to factors like sleep deprivation, inefficient sleep stages, and environmental disturbances, leading to impaired cognitive and physical performance, and increased risk of accidents.
Innovation Solution
A system and method for monitoring physiological characteristics to determine a subject's current sleep state, identifying a desired sleep state, and generating sensory stimuli to guide the subject towards that state, while also protecting against environmental disturbances, to optimize sleep efficiency and balance across longer periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sensory stimuli are generated to guide the subject toward a desired sleep state, then sleep efficiency is improved, but device complexity increases
Solution Approach 1:
The system segments the sleep optimization function into distinct modules: a monitoring module that tracks physiological characteristics, a determination module that identifies current and desired sleep states, and a stimulus generation module that delivers targeted sensory stimuli. This modular segmentation allows each component to perform its specific function efficiently while maintaining overall system manageability and reducing complexity through functional decomposition.
2Measurement precision
If physiological characteristics are monitored to determine sleep state, then sleep state determination accuracy is improved, but use of energy increases
Solution Approach 1:
The system extracts and monitors only the specific physiological characteristics that are most indicative of sleep state transitions, such as brainwave patterns, eye movements, and muscle tone. By selectively extracting and monitoring only these relevant parameters rather than all possible physiological signals, the system achieves accurate sleep state determination while minimizing energy consumption associated with continuous comprehensive monitoring.
3Productivity
If sleep architecture is optimized over longer periods, then cognitive and physical performance is improved, but loss of time for sleep increases
Solution Approach 1:
The system implements periodic monitoring and adjustment of sleep architecture over extended periods, analyzing sleep patterns across multiple nights to identify optimal sleep stage distributions. By applying periodic action rather than continuous intensive intervention, the system optimizes cognitive and physical performance through accumulated sleep debt management and sleep stage balancing without requiring excessive total sleep time, as the optimizations compound over the periodic measurement intervals.
Data Source
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AI summary
Systems and methods for optimizing the sleep and post-sleep performance of individuals regardless of their environment and time available for sleep are provided. The systems and methods take into account factors that determine the effects of a sleep episode on dexterity, cognitive functions and the subjective feeling of fatigue after sleeping: duration and sleep architecture of the sleep episode, point on the circadian cycle at which the episode occurred, the amount of sleep debt accumulated prior to the episode and the subject's susceptibility to sleep deprivation. The systems and methods include monitoring of sleep architecture over a longer period of time, measurement of accumulated sleep debt and assessment and/or tailoring of the sleep architecture for each subsequent sleep episode, determining a desired sleep state in which the subject should be in, and generating sensory stimuli for guiding the subject to the desired sleep state.