Bed System Snorer Side Detection Using Acoustic and Pressure Sensors
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Solution Overview
Problem
Existing bed systems lack the ability to automatically and accurately determine which side of the bed a snore originates from, hindering effective mitigation of snoring.
Innovation Solution
A bed system equipped with acoustic and pressure sensors on each side, coupled with a computer system that processes sensor readings to identify the snorer side using techniques such as amplitude comparison, time-delay analysis, and synchronized behavior assessment, and implements adjustments like tilting or raising the snorer side.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If acoustic and pressure sensors are installed on both sides of the bed to detect snoring, then the ability to identify snorer side is improved, but the device complexity increases
Solution Approach 1:
The bed system is divided into multiple zones with sensors distributed on both sides of the mattress. Acoustic sensors and pressure sensors are segmented and placed at specific locations (head, middle, foot portions) to independently detect snoring characteristics from different sides, enabling precise localization of the snorer side through comparative analysis of sensor readings from each segment
Solution Approach 2:
The system merges data from multiple sensor types (acoustic sensors detecting sound waves and pressure sensors detecting respiratory pressure changes) to comprehensively identify snoring events. By combining these different measurement modalities and integrating their readings through correlation analysis, the system achieves accurate snorer side identification while managing the complexity of having multiple sensors
2Measurement precision
If multiple sensor readings are processed to determine snorer side, then the detection accuracy is improved, but the processing time increases
Solution Approach 1:
The system performs preliminary processing of sensor readings by continuously monitoring and pre-analyzing acoustic and pressure data as they are collected. Breathing cycles are detected in advance by analyzing pressure sensor patterns, and snoring events are preliminarily identified by correlating acoustic readings with breathing cycle data, so that when a snoring event occurs, the system can quickly determine the snorer side without extensive real-time processing delays
Solution Approach 2:
The system replaces complex mechanical analysis with signal processing techniques. Instead of physically analyzing the source of snoring, the system uses acoustic signal processing (amplitude comparison, time-delay analysis) and pattern recognition algorithms to automatically identify the snorer side based on sensor readings, significantly reducing processing time while maintaining high accuracy
3Object-affected harmful factors
If the bed system automatically adjusts to mitigate snoring, then the effectiveness of snoring reduction is improved, but the ease of operation decreases
Solution Approach 1:
The bed system automatically detects snoring events, identifies the snorer side, and adjusts the mattress or foundation position without requiring user intervention. The system serves itself by using its own sensors and actuators to mitigate the harmful effect of snoring, eliminating the need for manual operation while reducing snoring impact on both sleepers
Solution Approach 2:
The system implements a closed-loop feedback mechanism where sensor readings continuously monitor for snoring events, the system automatically adjusts the bed configuration in response to detected snoring, and ongoing sensor monitoring verifies whether the adjustment successfully reduced the snoring. This feedback loop ensures effective snoring mitigation while maintaining ease of operation through automation
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 real-time or near real-time identification and mitigation of snoring by adjusting the bed to alleviate the issue, leveraging existing components and machine learning for accurate snorer side detection.
Implementation Method 1
a first acoustic sensor proximate the first side of the mattress configured to sense acoustics from the first user on the first side of the mattress; a second acoustic sensor proximate the second side of the mattress configured to sense acoustics from the second user on the second side of the mattress
Implementation Method 2
a first pressure sensor proximate the first side of the mattress configured to sense pressure applied to the first side of the mattress; a second pressure sensor proximate the second side of the mattress configured to sense pressure applied to the second side of the mattress
Data Source
AI summary
This document generally describes bed systems for automatically determining which side of a bed a detected snore originates from, where two sleepers are in the bed. A bed system can include sensors for collecting acoustic readings and pressure readings, on respective sides of the bed. The collected sensor readings can be processed by a computer system to determine whether a snore is detected at the bed system and which side of the bed system the snore originates from. Based on the determination of the snorer side of the bed system, the computer system can also generate one or more actions, which can be used to mitigate, reduce, or otherwise stop the snoring on the determined snorer side of the bed system.