Sensor-Integrated Bedding for Sleep State Monitoring and Intervention
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Solution Overview
Problem
Current sleep systems fail to effectively prevent insomnia and respiratory issues like snoring, which can lead to severe health problems, including sudden death, due to lack of real-time monitoring and intervention capabilities.
Innovation Solution
A sleep support system comprising a bedding with integrated data acquisition and wake-up mechanisms, including vibration and snore sensors, a processor, and a sleep aid mechanism that uses WiFi connectivity to monitor sleep state and intervene with appropriate measures, such as adjusting sleeping posture or waking the user, to ensure safe and high-quality sleep.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time monitoring and intervention mechanisms are integrated into bedding, then sleep safety and quality are improved, but device complexity and manufacturing difficulty increase
Solution Approach 1:
The patent integrates multiple functions (monitoring, data processing, intervention control) into a single embedded system within the bedding. The processor unit combines signal processing from vibration sensors, snore sensors, and other sensors, and coordinates control signals to actuators for posture adjustment and wake-up functions, thereby improving reliability while managing complexity through functional integration.
Solution Approach 2:
The patent introduces an embedded processor as an intermediary between sensors and actuators. This processor receives signals from various sensors (vibration, snore, respiratory), processes the data to detect sleep abnormalities, and generates appropriate control signals for intervention mechanisms (posture adjustment, wake-up), thereby enabling intelligent monitoring and intervention while maintaining system modularity.
2Measurement precision
If sensors and processing units are embedded in the mattress, then data acquisition capability is improved, but ease of manufacture deteriorates
Solution Approach 1:
The patent divides the monitoring system into modular components: vibration sensors embedded in the mattress fabric, snore sensors positioned in the head region, a data converter unit, and a processor unit. This segmentation allows each component to be manufactured and tested separately, then integrated into the bedding assembly, thereby improving measurement precision while facilitating manufacturing through modular assembly.
Solution Approach 2:
The embedded processor unit serves multiple functions: it processes signals from vibration sensors for movement detection, processes signals from snore sensors for respiratory monitoring, controls posture adjustment actuators, and manages wake-up functions. This multi-functionality reduces the number of separate components needed, simplifying the overall manufacturing process while maintaining comprehensive monitoring capabilities.
3Reliability
If the system intervenes to change sleeping posture or wake up the user, then health safety is improved, but sleep continuity may be disrupted
Solution Approach 1:
The patent implements dynamic intervention strategies where the system continuously monitors sleep parameters and adjusts its response based on real-time conditions. When abnormalities are detected (e.g., apnea, severe snoring), the system dynamically selects appropriate interventions (posture adjustment, wake-up signals) and adjusts their intensity and timing to ensure health safety while minimizing disruption to sleep continuity.
Solution Approach 2:
The system employs feedback control where sensors continuously monitor sleep parameters (vibration, snore, respiratory signals) and provide real-time data to the processor. Based on this feedback, the system dynamically adjusts intervention strategies - for example, attempting gentle posture adjustment first, and only escalating to wake-up signals if abnormalities persist, thereby balancing health safety with sleep continuity.
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
The system enables real-time monitoring and timely intervention, effectively improving sleep quality and preventing accidents related to insomnia and snoring, thereby ensuring user safety and health.
Implementation Method 1
a vibration sensing component and a snore sensor which are connected to the data converter; the processor receives signals of the vibration sensing component
Implementation Method 2
a vibration sensing component and a snore sensor which are connected to the data converter; the processor receives signals of the snore sensor
Data Source
AI summary
The invention relates to a sleep support system and the control method thereof. People may come across such emergencies as insomnia for some reason when going to sleep or apnea during sleep for some reason. The invention comprises a bedding, a processor, a sleep aid mechanism, a data acquisition mechanism and a wake-up mechanism, wherein the data acquisition mechanism comprises a data converter, a vibration sensor assembly and a snore sensor which are connected to the data converter; the processor receives signals of the vibration sensor assembly through the data converter and controls the sleep aid mechanism; and the processor receives signals of the snore sensor through the data converter and controls the wake-up mechanism. By installing the sleep support system in a bedroom, intervention or emergency treatment measures can be taken timely through real-time monitoring of the data of various physical signs of the user and identification of the sleep state of the user when abnormity is detected, to ensure that the user can have high quality sleep, effectively prevent the occurrence of accidents of the user during sleep, and ensure good sleep quality of the user.