Adaptive sleep system using data analytics and learning techniques to improve individual sleep conditions

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Solution Overview

Problem

Current sleep solutions are static and fail to adapt to individual sleep needs, leading to suboptimal sleep quality due to factors like body type, environmental changes, and health conditions, particularly for individuals who experience breathing issues like snoring and apnea.

Innovation Solution

A dynamic sleep system integrating sensors and actuators to detect and adjust sleep surface conditions, such as pressure and temperature, using machine learning algorithms to optimize sleep quality through a closed-loop system that learns from user data and adjusts in real-time.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If static sleep solutions (beds, cushions, pillows) are used, then device complexity is reduced and ease of manufacture is improved, but adaptability to individual sleep needs and sleep quality deteriorate

Engineering Contradiction:

Improveadaptability to individual sleep needsVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements a dynamic sleep system where the sleep surface continuously adjusts its characteristics throughout the sleep cycle. Sensors detect user position, pressure distribution, and sleep stages, while actuators dynamically modify surface firmness, elevation, and support points to adapt to changing sleep needs and maintain optimal sleep quality.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system incorporates closed-loop feedback mechanisms where sensors continuously monitor user conditions (pressure, position, sleep stage detection) and relay this information to a control system that adjusts actuators in real-time. This feedback loop enables the sleep surface to respond adaptively to individual user needs throughout the night.

Inventive Principle:

Principle #23Feedback

2Measurement precision

If sensors and actuators are integrated into the sleep system, then sleep quality monitoring and adjustment capabilities are improved, but device complexity and manufacturing difficulty increase

Engineering Contradiction:

Improvesleep condition detection accuracyVSAvoidmanufacturing ease

Core Design Contradiction:

Measurement precisionVSEase of manufacture

Solution Approach 1:

The sleep system is divided into modular segments with sensors and actuators distributed across different zones of the sleep surface. Each module can be independently manufactured and assembled, reducing overall manufacturing complexity while maintaining comprehensive monitoring and adjustment capabilities across the entire bed.

Inventive Principle:

Principle #1Segmentation

3Adaptability or versatility

If the sleep surface dynamically adjusts throughout the sleep cycle, then sleep quality and individual needs fulfillment are improved, but energy consumption increases

Engineering Contradiction:

Improvedynamic adjustment capabilityVSAvoidenergy consumption

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The system performs dynamic adjustments periodically based on detected sleep stages and user needs rather than continuously. The control system activates actuators at specific intervals or when threshold changes are detected, reducing energy consumption while maintaining effective adaptability throughout the sleep cycle.

Inventive Principle:

Principle #19Periodic action

Data Source

PatentUS10561253B2Adaptive sleep system using data analytics and learning techniques to improve individual sleep conditions

Publication Date: 2020.02.18 BRYTE LABS INC

AI summary

A bed integrates sensors and other inputs to detect specific sleep environment conditions including point-specific pressure and/or temperature conditions. The bed includes a controller for commanding actuator or other devices to adjust these conditions. The controller may do so based on reference patterns for conditions and profiles of desired conditions. Information regarding the conditions may be provided to a remote computer, which may analyze the conditions and provide revised profiles of desired conditions.