Hardware sensor system for improved sleep detection
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Solution Overview
Problem
Current sleep detection systems lack comprehensive and accurate monitoring of sleep patterns, which are crucial for understanding individual sleep quality and its impact on health, as they often fail to provide detailed analysis of sleep cycles and environmental factors influencing sleep.
Innovation Solution
A sleep monitoring system comprising sensors placed under a mattress or bedframe, which collect movement data and environmental information, converting it into digital signals for analysis by a server system, allowing for precise sleep pattern analysis and environmental control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional sleep detection systems are used, then the system is simple and easy to operate, but the measurement precision and reliability of sleep pattern monitoring are insufficient
Solution Approach 1:
The system divides the sleep monitoring function into multiple specialized sensors (movement sensors, environmental sensors) placed at different locations (under mattress, in bedframe). Each sensor segment captures specific aspects of sleep data, and their combined outputs provide comprehensive high-precision sleep pattern detection without requiring a single complex device
Solution Approach 2:
The sensor system is designed to perform multiple functions simultaneously: detecting body movement, monitoring environmental conditions (temperature, humidity), and tracking sleep patterns. This multi-functionality allows the system to achieve comprehensive sleep analysis with a unified sensor platform, improving measurement precision without proportionally increasing device complexity
2Reliability
If comprehensive sleep monitoring is implemented, then the reliability of sleep analysis is improved, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent introduces a server as an intermediary component that receives data from multiple sensors and performs centralized processing. This mediator handles the complexity of aggregating and analyzing data from movement sensors, environmental sensors, and other sources, thereby improving sleep analysis reliability while isolating the complexity from the user-facing device
Solution Approach 2:
The system implements feedback loops where sensor data is continuously collected, analyzed by the server, and used to adjust monitoring parameters or provide actionable insights. This feedback mechanism enhances the reliability of sleep analysis by iteratively refining measurements and adapting to individual sleep patterns, while the automated feedback processing manages data complexity systematically
Data Source
AI summary
A hardware sensor system comprising a piezo sensor outputting charge data corresponding to a motion, an insulated cable from the piezo sensor to a receiver, to transmit the charge data, an insulated charge to voltage converter on the receiver, the insulated charge to voltage converter converting the charge data to voltage data, an analog-to-digital converter to convert the voltage data to digital data, and an uploader to upload the data to a server for processing.