Detecting sleeping disorders
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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 adequately addressed by existing technologies.
Innovation Solution
A system comprising a sensor strip attached to a mattress that monitors breathing patterns to detect signature frequencies associated with snoring and sleep apnea, with the capability to send notifications or automatically adjust the bed 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 translates complex sensor signals into actionable insights. The processor acts as a mediator between the raw breathing pattern data and the final detection results, simplifying the interface between the physical sensing layer and the decision-making layer.
2Reliability
If real-time monitoring and automatic bed adjustment are implemented, then sleep quality improves, but energy consumption increases
Solution Approach 1:
The system employs periodic monitoring of breathing patterns rather than continuous full-power operation. The sensor strip takes measurements at intervals throughout the sleep period, allowing the system to maintain detection capability while reducing overall energy consumption compared to continuous high-frequency sampling.
Solution Approach 2:
The automatic bed adjustment feature enables the sleeping surface to self-regulate based on detected breathing patterns. When sleep apnea or snoring is detected, the bed automatically adjusts its position to alleviate the condition, eliminating the need for manual intervention and maintaining sleep quality without requiring additional energy-intensive alert systems.
3Object-affected harmful factors
If automatic bed adjustment is used to alleviate sleeping disorders, then the harmful effects of snoring and sleep apnea are reduced, but the device complexity increases
Solution Approach 1:
The patent combines the detection and mitigation functions into a single integrated system. The same sensor strip that detects breathing patterns also triggers the bed adjustment mechanism, merging the diagnostic and therapeutic functions into one cohesive unit. This reduces overall system complexity compared to having separate detection and treatment systems.
Solution Approach 2:
The system implements a feedback loop where breathing pattern detection continuously monitors the user's sleep condition, and bed adjustment is automatically triggered when abnormal patterns are detected. This closed-loop feedback mechanism allows the system to respond dynamically to changing sleep conditions without requiring complex manual control systems.
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.