Mattress Pressure Sensor for Asthma Attack Prediction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for monitoring lung function in chronic diseases like asthma are impractical for non-clinical environments, particularly in children and infants, as they require active patient participation and sophisticated instrumentation, lacking predictive value and being unsuitable for daily home use.
Innovation Solution
A non-invasive system that continuously monitors breathing patterns during sleep using a pressure gauge installed under a mattress, processing breathing-related body motion data to predict approaching clinical episodes and assess episode severity by comparing patterns to baseline data, facilitating early preventive treatment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If spirometry or nitric-oxide monitoring is used to evaluate lung function, then measurement precision is improved, but device complexity and ease of operation worsen due to requiring sophisticated instrumentation and active patient participation
Solution Approach 1:
The patent replaces complex mechanical spirometry systems and nitric-oxide monitoring equipment with a simple pressure sensor system that measures breathing-induced mattress deformations. This substitution maintains sufficient measurement precision for clinical monitoring while dramatically reducing device complexity and eliminating the need for sophisticated instrumentation.
Solution Approach 2:
The system enables passive monitoring where the patient's natural breathing movements during sleep automatically generate the measurement signal. This eliminates the need for active patient participation required by traditional spirometry, allowing even infants and non-compliant patients to be monitored without their cooperation.
2Reliability
If traditional monitoring devices are used, then measurement capability is improved, but ease of operation worsens due to requiring active patient participation which is difficult to obtain from children and infants
Solution Approach 1:
Instead of requiring the patient to actively operate the monitoring device (as in spirometry where the patient must forcefully exhale into a mouthpiece), the system inverts the approach by having the monitoring device passively detect the patient's natural breathing movements. The patient becomes the source of the measurement signal rather than the operator, making monitoring feasible for children and infants who cannot comply with active monitoring protocols.
3Loss of information
If peak-flow meters or nitric-oxide monitors are used, then general indication of lung function status is obtained, but predictive value is lost as these are used as during-episode markers rather than pre-episode predictors
Solution Approach 1:
The system performs preliminary monitoring of breathing patterns during asymptomatic periods to establish baseline characteristics. By continuously tracking breathing parameters before clinical episodes occur, the system can detect subtle deviations from baseline that predict impending asthma attacks, providing advance warning that enables preventive treatment before the full episode manifests.
Solution Approach 2:
The system implements continuous feedback monitoring by comparing real-time breathing measurements against established baseline patterns. When deviations exceed predetermined thresholds, the system generates alerts that provide predictive information about approaching clinical episodes, allowing timely intervention to prevent or mitigate episode severity.
4Productivity
If daily monitoring of respiratory function is required for efficient asthma management, then treatment effectiveness is improved, but practicality worsens as it is generally impractical in non-clinical or home environments
Solution Approach 1:
The patent employs inexpensive pressure sensors and simple mattress-based hardware that can be easily deployed in home environments. The low cost and simplicity of the monitoring system enable continuous daily monitoring without the burden of expensive, complex clinical equipment, making efficient asthma management practical for home use.
Solution Approach 2:
The system segments the monitoring function into passive sensing elements distributed throughout the mattress, eliminating the need for a single complex monitoring station. This segmentation allows the monitoring system to be seamlessly integrated into the home environment without requiring dedicated clinical space or sophisticated infrastructure.
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 effective early intervention and reduced medication dosage by accurately predicting asthma attacks and monitoring disease progression in chronic conditions like asthma, COPD, and congestive heart failure, suitable for home use and applicable to both children and adults.
Implementation Method 1
a pressure gauge installed under a mattress, processing breathing-related body motion data
Data Source
AI summary
A method is provided for predicting an onset of a clinical episode, the method including sensing breathing of a subject, determining at least one breathing pattern of the subject responsively to the sensed breathing, comparing the breathing pattern with a baseline breathing pattern, and predicting the onset of the episode at least in part responsively to the comparison. Other embodiments are also described.