Multi-Sensor Respiratory Disease Detection System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Early detection of respiratory diseases is challenging, especially for individuals living alone or in settings with limited monitoring, as self-diagnosis is difficult and timely detection is crucial to prevent the spread of infections.
Innovation Solution
A device comprising multiple sensors (infrared, microphone, aerosol, CO2, temperature, humidity, and radar) collects and processes environmental and physiological data to detect respiratory infections, with optional features like satellite positioning and non-wired data transmission to a remote server for AI-driven analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are deployed to improve detection accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The monitoring system is segmented into multiple independent sensor modules, each dedicated to detecting specific parameters (temperature, humidity, CO2, aerosols). This segmentation allows each sensor to specialize in one measurement task, improving overall detection precision while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The sensor system is designed with multi-functionality, where a single integrated device performs multiple detection functions simultaneously (thermal imaging for temperature, acoustic sensing for coughs, particle sensing for aerosols). This universal approach improves measurement precision across multiple parameters without proportionally increasing device complexity.
2Reliability
If continuous monitoring is implemented to enable early detection, then reliability is improved, but energy consumption increases
Solution Approach 1:
The system implements periodic action by continuously monitoring key parameters (temperature, presence) while performing more intensive measurements (aerosol concentration, detailed acoustic analysis) at periodic intervals or when anomalies are detected. This approach maintains early detection reliability while reducing overall energy consumption compared to sustained maximum-power operation.
Solution Approach 2:
The system performs preliminary action by continuously monitoring low-energy parameters (infrared temperature, presence detection) to establish baseline conditions. When these preliminary indicators suggest potential issues, the system then activates more energy-intensive sensors and analysis routines, enabling early detection while minimizing unnecessary energy consumption during normal conditions.
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
The device enables early detection of respiratory infections with high accuracy (>90% for body temperature and coughing), supports remote monitoring, and helps prevent the spread of infections by providing timely alerts and recommendations.
Implementation Method 1
an infrared sensor or camera
Implementation Method 2
a radar or lidar which makes it possible to measure the number of people present and the distance between people
Implementation Method 3
a radar or lidar which makes it possible to measure the number of people present and the distance between people
Data Source
AI summary
A device for determining an occurrence of an airborne disease, in particular a respiratory infection in an individual, includes: an infrared sensor or camera; a microphone; a sensor for measuring a number and size of particles and/or aerosols in ambient air, a sensor for measuring a concentration of carbon dioxide (CO2); an ambient air temperature sensor, an ambient air relative humidity sensor for the ambient air; and a barometric pressure sensor.