Air-Permeable Capacitive Sensor Bedding for Wireless Sleep Monitoring
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Solution Overview
Problem
Conventional polysomnography sensors are not portable, disruptive to sleep, and require constant wiring, limiting their use to hospitals or specialized labs, and often cause discomfort affecting sleep quality.
Innovation Solution
An air-permeable bedding system with a capacitive sensor grid and microclimate fabric layer that uses a flexible mat to wirelessly monitor pressure, vital signs, and clinical information, incorporating machine learning to detect sleep states and biometrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional polysomnography sensors are used, then sleep monitoring accuracy is improved, but portability and user comfort deteriorate due to wiring requirements and disruptive nature
Solution Approach 1:
The patent extracts the sensing functionality from traditional wired polysomnography equipment and integrates it into a wireless mattress pad. The capacitive sensor array embedded in the mattress pad captures sleep data without requiring wires connected to the user, thereby maintaining measurement precision while dramatically improving portability and comfort.
Solution Approach 2:
The mattress pad serves multiple functions: it provides comfortable bedding support while simultaneously functioning as a wireless sleep monitoring device. The capacitive sensors embedded in the mattress pad can detect various physiological parameters (breathing rate, heart rate, sleep stages) without requiring separate specialized equipment, making the system both portable and comprehensive.
2Reliability
If conventional wired sensors are used, then reliable sleep data collection is improved, but device complexity and setup difficulty worsen due to constant wiring requirements
Solution Approach 1:
The patent replaces the mechanical wiring system with a wireless capacitive sensing system. The mattress pad uses capacitive sensors that detect physiological signals through contact with the user's body, eliminating the need for electrical wires connected to the user. This substitution maintains data reliability while dramatically reducing device complexity and setup difficulty.
3Difficulty of detecting and measuring
If traditional polysomnography equipment is used, then comprehensive sleep analysis is improved, but adaptability to home environments deteriorates due to hospital-only limitations
Solution Approach 1:
The mattress pad is designed to function as both a comfortable bedding product and a comprehensive sleep monitoring system. It can be used in any home environment without requiring specialized hospital equipment or infrastructure. The wireless design and integrated sensors provide hospital-grade sleep analysis capabilities in a consumer-friendly, home-adaptable format.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables portable, minimally disruptive sleep monitoring that accurately detects sleep states and vital signs without direct wiring, improving user comfort and allowing home use.
Implementation Method 1
an air-permeable capacitive sensor layer below the microclimate fabric layer. The air-permeable capacitive sensor layer may include two air-permeable substrates, each carrying a plurality of electrically conductive pathways
Data Source
AI summary
Embodiments may relate to an air-permeable weight support system, which may include a microclimate fabric layer and an air-permeable capacitive sensor layer below the microclimate fabric layer. The air-permeable capacitive sensor layer may include two air-permeable substrates, each carrying a plurality of electrically conductive pathways that are impermeable to air. The two air-permeable substrates may securely position the electrically conductive pathways to define a sensor grid and position the electrically conductive pathways that are impermeable to air to be spaced apart to define a plurality of air pathways for the air-permeable capacitive sensor layer. The sensor data may be used to determine a sleep state of the person using the weight support system. A computer may identify the poses of the person based on the pressure sensor data. A machine learning model may rely on the poses, the heart rates, the respiration rates to determine the sleep state.