Mattress Sensor Strip for Snoring and Sleep Apnea Detection
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Solution Overview
Problem
There is a lack of in-home methods for monitoring and alleviating sleeping disorders such as snoring and sleep apnea, which affect many individuals but are not effectively addressed by existing technologies.
Innovation Solution
A system comprising a sensor strip attached to a mattress that monitors breathing patterns and detects signature frequencies associated with snoring and sleep apnea, allowing for automatic adjustments to the bed or notifications to be sent to the user to alleviate these disorders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a sensor strip is attached to the mattress to monitor breathing patterns, then sleeping disorders can be detected, but the device complexity increases
Solution Approach 1:
The monitoring system is divided into separate functional modules: a sensor strip attached to the mattress for collecting breathing data, a processor for analyzing the signals, and a notification system for alerting users. This segmentation allows each component to be optimized independently while maintaining overall system functionality.
Solution Approach 2:
The patent introduces an intermediary processing layer that transforms raw sensor data into meaningful diagnostic information. The processor acts as a mediator between the simple sensor strip and the complex detection algorithms, enabling accurate disorder detection without requiring the sensor itself to be overly complex.
2Reliability
If automatic bed adjustments are implemented to alleviate sleeping disorders, then treatment effectiveness improves, but the device complexity increases
Solution Approach 1:
The system implements a feedback loop where the sensor strip continuously monitors breathing patterns, the processor analyzes the data for signs of sleeping disorders, and the bed automatically adjusts its position in response to detected issues. This closed-loop feedback mechanism ensures reliable treatment while automating the response process.
Solution Approach 2:
The bed system performs self-adjustment based on detected sleeping disorders without requiring manual intervention. The automation allows the system to self-regulate its position to alleviate snoring and sleep apnea, providing effective treatment while reducing the need for user involvement.
3Reliability
If continuous monitoring is performed to detect sleeping disorders, then detection reliability improves, but energy consumption increases
Solution Approach 1:
The monitoring system operates periodically rather than continuously, analyzing breathing patterns at intervals to detect sleeping disorders. This periodic operation maintains detection reliability by regularly sampling user condition while significantly reducing energy consumption compared to continuous monitoring.
Data Source
AI summary
Introduced are methods and systems for monitoring a person's sleeping patterns, and detecting episodes of sleeping disorders such as snoring and sleep apnea. In one embodiment, a sensor strip attached to the mattress monitors the user's breathing, and detects signature frequencies corresponding to snoring and sleep apnea. Once a sleeping disorder is detected, a notification can be sent to a device associated with the user, or the user's bed can be automatically adjusted to alleviate the sleeping disorder.