Adaptive Sensory Stimulation System for Sleep Latency Reduction
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Solution Overview
Problem
Current systems for controlling sleep latency during the wake to sleep transition are inefficient in shortening sleep onset time, as they lack adaptive modulation of sensory stimulation based on real-time brain activity measurements.
Innovation Solution
A system comprising EEG sensors, processors, and sensory stimulators that use machine-readable instructions to modulate sensory stimulation intensity according to brain activity metrics, such as wakefulness probability, to facilitate faster sleep onset by adjusting stimulation based on continuous brain activity monitoring and neural network analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If sensory stimulation is delivered at constant intensity during sleep session, then device operation is simple, but sleep latency cannot be effectively shortened
Solution Approach 1:
The system dynamically adjusts sensory stimulation intensity based on real-time brain activity monitoring. The processor continuously receives brain activity data from sensors, determines wakefulness probability, and modulates stimulation intensity accordingly - increasing stimulation when wakefulness is detected and decreasing when sleep is detected, thereby effectively shortening sleep latency through adaptive control
Solution Approach 2:
The system implements a closed-loop feedback mechanism where brain activity sensors continuously monitor the subject's physiological state, the processor analyzes this data to determine wakefulness probability, and the sensory stimulator adjusts stimulation intensity based on this analysis. This feedback loop enables real-time optimization of sleep induction while maintaining manageable system complexity
2Loss of time
If sensory stimulation intensity is increased to shorten sleep latency, then sleep onset is accelerated, but sleep quality may deteriorate due to over-stimulation
Solution Approach 1:
The system uses dynamic intensity modulation based on real-time brain activity analysis. Rather than applying constant high-intensity stimulation, the processor continuously adjusts stimulation intensity according to detected wakefulness probability, applying stimulation only when needed and reducing it when sleep is detected, thereby accelerating sleep onset while preserving sleep quality
Solution Approach 2:
The system changes the stimulation intensity parameter dynamically based on brain activity metrics. The processor determines wakefulness probability from brain activity data and modulates stimulation intensity accordingly - increasing intensity when wakefulness is detected to shorten latency, and decreasing intensity when sleep is detected to maintain quality, thus optimizing both speed and quality of sleep onset
Data Source
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AI summary
The present disclosure pertains to shortening sleep latency during the wake to sleep transition. Sensory stimulation is delivered to a subject by sensory stimulators during a sleep session, and a measure of wakefulness of the subject is determined. The sensory stimulators are controlled based on the measure of wakefulness of the subject. The sensory stimulators may be controlled to modulate an intensity of the sensory stimulation delivered to the subject. For example, the sensory stimulators may decrease the intensity of the sensory stimulation as the measure of wakefulness decreases. The system then determines that the measure of wakefulness has reached stable sleep. The sensory stimulators are controlled based on the determination that the measure of wakefulness has reached stable sleep. The sensory stimulators may decrease the intensity of the sensory stimulation at a faster rate once the measure of wakefulness reaches stable sleep.