Bed having features for sleep-sensing and for determining sleep-intervention parameters
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Solution Overview
Problem
Current methods for diagnosing and treating insomnia lack objective measures, making it difficult to identify and effectively intervene, especially for individuals with severe insomnia who may struggle with journaling or face anxiety with medical devices.
Innovation Solution
A smart bed system equipped with sensors that collect objective sleep data, using this information to generate personalized digital cognitive behavioral therapy (dCBTI) parameters and deliver targeted interventions without the need for journaling or face-to-face interactions, incorporating automated peripheral devices to reduce stimulation and improve sleep quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional insomnia diagnosis methods (journaling, face-to-face interactions) are used, then treatment can be provided, but users with severe insomnia struggle to adhere and anxiety increases
Solution Approach 1:
The system automatically collects sleep data through sensors embedded in the mattress and generates dCBTI parameters without requiring user intervention for data entry. The bed itself performs the diagnostic and therapeutic functions, eliminating the need for users to journal or actively participate in data collection, thereby improving adherence while reducing burden
Solution Approach 2:
The patent replaces manual journaling and face-to-face clinical interactions with automated sensor-based data collection and algorithm-driven treatment parameter generation. Pressure sensors, motion sensors, and other mechanical sensing elements substitute for traditional clinical assessment methods, reducing user burden while maintaining diagnostic reliability
2Measurement precision
If objective sleep measurement is implemented, then insomnia can be accurately identified and classified, but device complexity and cost increase
Solution Approach 1:
The mattress integrates multiple sensing functions into a single universal platform. Pressure sensors, motion sensors, and respiratory sensors all operate through the same mattress structure and data processing system, enabling accurate sleep measurement while avoiding the complexity of multiple separate devices. The system performs diagnosis, monitoring, and treatment guidance through one integrated system
Solution Approach 2:
The patent combines diagnostic sensing, therapeutic intervention, and data processing functions into a single integrated bed system. The mattress structure itself serves as both the support surface and the sensing platform, merging what would traditionally be separate devices into one unified system, thereby reducing overall complexity while maintaining measurement precision
3Ease of operation
If automated dCBTI treatment is delivered, then treatment accessibility improves, but need for professional oversight may be reduced excessively
Solution Approach 1:
The system continuously monitors sleep parameters and automatically adjusts dCBTI treatment parameters based on measured outcomes. This closed-loop feedback mechanism ensures that treatment remains clinically appropriate by adapting to actual patient response, maintaining reliability while improving accessibility. The feedback loop allows the system to identify when professional intervention may be needed
Solution Approach 2:
The system performs preliminary assessment and classification of insomnia types before delivering treatment, and continuously evaluates treatment response in advance of making adjustments. This preliminary and ongoing assessment ensures that automated treatment remains clinically sound by pre-establishing appropriate treatment protocols and monitoring for signs that professional oversight is required
Data Source
AI summary
One or more sensors are configured to sense physiological phenomena of a user of the bed; and generate one or more data streams based on the sensing of the physiological phenomena of the user. A computing system may include at least one processor and computer memory, the computing-system configured to: receive the one or more data streams for a plurality of night's sleep for the same user; generate, using the one or more data streams, digital cognitive behavioral therapy for insomnia (dCBTI) parameters for the user; and cause a computing device to operate a dCBTI treatment for the user according to the dCBTI parameters.