Multispectral Imaging and VOC Sensing for Non-Invasive Disease Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current disease detection methods are often invasive, slow, imprecise, and require laboratory agents, failing to provide accurate and real-time results, especially for rapidly spreading communicable diseases like COVID-19, which also struggles with false negatives and inability to detect asymptomatic cases.
Innovation Solution
A system combining bio-sensing technology to measure volatile organic compounds (VOCs) from breath and skin with multispectral high-resolution imaging using visible and infrared wavelengths, integrated with AI to identify specific disease signatures, enabling rapid, non-invasive point-of-care tests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional invasive detection methods are used, then detection capability is achieved, but patient comfort and ease of operation deteriorate
Solution Approach 1:
The patent replaces mechanical/invasive detection methods with optical and chemical sensing systems. Specifically, it uses multispectral imaging cameras to capture reflectance spectra and volatile organic compound (VOC) sensors to detect breath chemicals, substituting needle-based or contact-based methods with non-contact optical and chemical detection fields.
Solution Approach 2:
The patent introduces intermediate substances and fields for detection: using VOCs (volatile organic compounds) as chemical intermediaries that carry disease information from the body, and using light spectra as an intermediary field to probe tissue properties without direct contact. These intermediaries enable indirect but accurate measurement of physiological states.
2Speed
If traditional laboratory-based methods are used, then comprehensive analysis is achieved, but speed and real-time capability deteriorate
Solution Approach 1:
The patent performs preliminary data processing and model training in advance. Disease-specific spectral signatures and VOC patterns are pre-identified through machine learning models trained on labeled datasets. During actual detection, the pre-trained models rapidly compare new measurements against known disease patterns, enabling real-time classification without complex real-time computation.
Solution Approach 2:
The patent creates simplified copies or representations of complex disease states through spectral fingerprints and VOC profiles. Instead of analyzing all possible physiological parameters, the system captures characteristic spectral copies that uniquely identify disease conditions, enabling rapid comparison and classification.
3Measurement precision
If multi-parameter detection is implemented, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple detection modalities (multispectral imaging and VOC sensing) into a single integrated system. The imaging booth combines cameras for reflectance spectroscopy with breath collection and VOC analysis capabilities, allowing simultaneous acquisition of multiple disease indicators through one unified device rather than separate instruments.
Solution Approach 2:
The patent designs a universal detection platform that can identify multiple different diseases using the same core technology. The multispectral imaging system and VOC sensor array can detect skin conditions, respiratory diseases, and other conditions by analyzing different spectral and chemical signatures, making the device multi-functional without requiring disease-specific hardware for each condition.
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
This approach allows for accurate, real-time detection of diseases and medical conditions without laboratory agents, effectively identifying COVID-19 and other conditions, including asymptomatic cases, with rapid and reliable results.
Implementation Method 1
multispectral high-resolution imaging of the skin utilizing visible and infrared wavelengths
Implementation Method 2
volatile organic compounds (VOCs) emanating from the breath, oral cavity; and/or skin
Implementation Method 3
processing the data obtained from measuring VOCs and imaging the skin to determine/identify the infrared wave signature correlation for the disease
Data Source
AI summary
A system and apparatus for detecting diseases that combines biosensors and skin imaging. The system and apparatus combines bio-sensing technology for measuring volatile organic compounds (VOCs) emanating from the breath, oral cavity, and/or skin with multispectral high-resolution imaging of the skin utilizing visible and infrared wavelengths to detect specific diseases and/or medical conditions.