Biosignal Analysis for Infectious Disease Detection
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Solution Overview
Problem
Existing methods for responding to infectious diseases are hindered by the high cost and inefficiency of maintaining databases for medical guidelines, and the slow formulation of responses due to redundant or inconsistent information, especially when new diseases emerge, necessitating a rapid and effective way to analyze biosignals for early detection and prevention.
Innovation Solution
A method involving the analysis of biosignals and location information using mobile devices to determine infectiousness, where a server processes biosignals compared to reference patterns, considers environmental factors, and classifies users, transmitting feedback for potential infection risks and recommendations, such as avoiding outdoor activities or seeking medical services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a database for medical guidelines is used to store and manage infectious disease information, then comprehensive medical guidelines can be stored, but the system becomes expensive to set up and maintain with redundant or inconsistent information
Solution Approach 1:
The patent uses mobile devices to collect and transmit biosignal data copies from multiple users to a server, replacing the need for a centralized database of medical guidelines. The server analyzes these biosignal copies directly to detect infectious disease patterns, eliminating database maintenance complexity while maintaining diagnostic reliability
Solution Approach 2:
The system enables self-service by allowing mobile devices to automatically collect, transmit, and analyze biosignals without requiring manual database updates or expert intervention. The server autonomously processes incoming biosignal data to identify infectious disease outbreaks, reducing the need for expensive database maintenance
2Reliability
If a database is used to store medical guidelines for infectious diseases, then comprehensive information is available, but the response time to new diseases is slow due to redundant or inconsistent information
Solution Approach 1:
The system performs preliminary action by continuously collecting and pre-analyzing biosignal data from multiple users in real-time. When a new infectious disease emerges, the server already has processed biosignal patterns ready for comparison, enabling immediate detection and response without waiting to compile information into a database
Solution Approach 2:
The patent implements continuous biosignal monitoring and analysis, maintaining an ongoing flow of health data from multiple users to the server. This continuous action ensures that the system is always ready to detect new disease patterns immediately upon emergence, eliminating the time delay associated with database compilation and updates
3Loss of time
If biosignals from multiple users are collected and analyzed, then early detection of infectious diseases is possible, but the amount of data to be processed increases
Solution Approach 1:
The server extracts only the relevant infectious disease-related features and patterns from the large volume of biosignal data collected from multiple users. By focusing analysis on specific biomarkers and anomaly patterns rather than processing all raw biosignal data, the system achieves early detection while managing data processing loads efficiently
Solution Approach 2:
The patent merges biosignal data from multiple users into aggregated patterns and trends that reveal infectious disease outbreaks. By combining individual biosignals into collective health patterns, the system detects population-level disease emergence more efficiently than analyzing individual data points separately, reducing the computational burden while maintaining early detection capability
Data Source
AI summary
A method and an apparatus for analyzing a biosignal to respond to an infectious disease are provided. An analyzing method involves receiving biosignals of users of terminals and location information of the terminals, determining infectiousness of a condition of a user among the users by analyzing the location information and the biosignals, and transmitting feedback information regarding the infectiousness of the condition to one or more of the terminals.