Exhaled Odor Analysis for Faster Disease Detection
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Solution Overview
Problem
Existing methods for diagnosing diseases through odor analysis, such as using dogs, are inefficient and time-consuming due to the inability to specify odor components specific to affected individuals, leading to prolonged training and dissemination times.
Innovation Solution
A system comprising a first and second measurement apparatus with odor sensors, a terminal, and an information processing apparatus that generates and processes odor detection data to determine disease presence or absence using feature information and machine learning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If odor-based disease detection is performed without specifying disease-specific odor components, then detection capability is maintained, but training efficiency decreases and dissemination time increases
Solution Approach 1:
The patent segments the odor detection process into distinct components: general odor detection and disease-specific odor component identification. By separating these functions, the system can first establish basic detection capability and then add specialized disease detection modules, improving training efficiency while maintaining overall detection accuracy
Solution Approach 2:
The patent implements preliminary action by pre-identifying and storing disease-specific odor components in a database before actual detection. This allows the system to quickly compare detected odors against known disease signatures, significantly reducing training time while maintaining high detection precision
2Measurement precision
If traditional disease diagnosis methods are used, then diagnostic accuracy can be maintained, but diagnosis time increases
Solution Approach 1:
The patent replaces mechanical/dog-based odor detection with an electronic sensor-based system. This substitution enables rapid automated analysis of odor components, dramatically reducing diagnosis time while maintaining or improving diagnostic accuracy through precise spectral analysis
Solution Approach 2:
The patent changes the detection parameters from general odor presence to specific odor component identification. By analyzing particular chemical signatures associated with diseases, the system achieves rapid and accurate diagnosis without requiring time-consuming traditional methods
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 rapid disease diagnosis by identifying specific odor components, supporting physicians in determining disease presence in a shorter time frame.
Implementation Method 1
a first detection unit including an odor sensor and configured to detect an odor of expiration of a subject using the odor sensor
Data Source
AI summary
A system is provided that detects the odor of air exhaled from a subject. Based on affection information and the odor, the system indicates features of the exhaled air related to a disease based on measurement information in which the affection information indicates affection or non-affection. The system also detects the odor in the air from a medical examinee. Based on the measurement information and the features, the system determines the possibility that the medical examinee will be affected with a disease.