Demographic-Based Sleep Stimulation System
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Solution Overview
Problem
Existing sleep monitoring and sensory stimulation systems fail to account for individual demographic characteristics, leading to inadequate sensory stimulation timing and intensity, which can result in reduced effectiveness for users of different ages and demographics.
Innovation Solution
A system comprising sensors, processors, and sensory stimulators that determine a user's demographic group based on brain activity signals during a sleep session and select an appropriate stimulation parameter model to adjust sensory stimulation accordingly, ensuring tailored stimulation delivery during subsequent sleep sessions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single stimulation parameter model is used for all users, then the system is simple to operate, but the stimulation effectiveness is reduced for users of different ages and demographics
Solution Approach 1:
The system dynamically selects stimulation parameter models based on detected demographic characteristics of the user. Instead of using a fixed single model, the system adapts the stimulation parameters in real-time by identifying the user's demographic group from brain activity signals and applying the appropriate model, thereby maintaining both ease of operation and stimulation effectiveness.
Solution Approach 2:
The system changes the stimulation parameters according to the detected demographic characteristics of the user. Different demographic groups have different optimal stimulation parameters, and the system adjusts these parameters by selecting from multiple pre-defined models, ensuring each user receives optimized stimulation while the system remains easy to operate.
2Adaptability or versatility
If demographic information is collected explicitly, then the stimulation can be tailored to the user, but the user experience is disrupted by requiring additional input
Solution Approach 1:
The system performs self-service by automatically determining the user's demographic characteristics from brain activity signals during sleep without requiring explicit user input. The system independently identifies the demographic group and selects the appropriate stimulation model, providing personalized stimulation while maintaining an uninterrupted and easy user experience.
Solution Approach 2:
The system replaces the mechanical process of explicit demographic information collection with an automated signal processing approach. Instead of requiring users to fill out forms or provide demographic data, the system uses EEG signals and automated algorithms to infer demographic characteristics, thereby achieving personalization without disrupting the user experience.
3Reliability
If stimulation parameters are adjusted for each demographic group, then stimulation effectiveness is improved, but the device complexity increases
Solution Approach 1:
The system performs preliminary action by pre-defining multiple stimulation parameter models for different demographic groups before actual use. During operation, the system only needs to identify the user's demographic group and select the corresponding pre-prepared model, avoiding the complexity of real-time parameter optimization while maintaining high stimulation effectiveness.
Solution Approach 2:
The system segments the population into different demographic groups, each with its own stimulation parameter model. By dividing the user base into distinct categories (e.g., different age groups) and creating specialized models for each segment, the system achieves high effectiveness without the complexity of continuous parameter adjustment, as each segment has a dedicated optimized model.
Data Source
AI summary
The present disclosure pertains to delivering sensory stimulation to a user during a sleep session. In some embodiments, sensors are configured to generate output signals conveying information related to brain activity of the user during the sleep session. Sensory stimulators are configured to provide the sensory stimulation to the user during the sleep session. One or more processors are configured to determine a demographic group for the user; select a stimulation parameter model associated with the demographic group of the user from a set of stimulation parameter models associated with different demographic groups; and control the one or more sensory stimulators to deliver the sensory stimulation to the user based on the stimulation parameter model for the demographic group of the user and the output signals.