A Feasibility Study on Smart Mattresses to Improve Sleep Quality

Area of Science:

• Biomedical Engineering
• Human-Computer Interaction
• Sleep Science

Background:

• Poor sleep quality significantly impacts patient treatment success, recovery times, and overall health outcomes.
• Existing solutions lack personalized comfort and adaptive support for diverse sleeping positions.
• The need for intelligent healthcare environments necessitates advanced sleep monitoring and support systems.

Purpose of the Study:

• To develop and evaluate a smart mattress system capable of automatically detecting and adapting to a user's sleeping position.
• To enhance user comfort and promote uniform force distribution through dynamic pressure adjustments.
• To lay the groundwork for an integrated smart healthcare ecosystem focused on improving sleep quality.

Main Methods:

• A smart mattress was engineered with an array of air packs, pressure/height sensors, and control units for dynamic adjustment.
• The system employs automatic initialization, object/person detection, and high-speed scanning to capture body pressure matrices.
• Pressure matrix analysis, including normalization and binarization, was used for sleeping position recognition against predefined templates.

Main Results:

• The smart mattress successfully detected human body structure and pressure distribution in real-time.
• The system demonstrated high accuracy, recall, and precision in recognizing various sleeping positions.
• The adaptive pressure adjustment achieved uniform force distribution, indicating a comfortable user state.

Conclusions:

• The developed smart mattress effectively recognizes sleeping positions and provides adaptive support, enhancing user comfort.
• This technology holds potential for integration into smart healthcare systems to improve patient sleep quality and treatment outcomes.
• Further research can explore connectivity with smart devices for a comprehensive intelligent ward environment.