Central Server Interactive Testing System for Biological Sample Analysis
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Solution Overview
Problem
Current health monitoring systems lack the capability to provide early warnings of diseases through remote biological sample analysis, leading to increased hospital pressures and treatment challenges due to the inability to effectively detect changes in chemical components of biological samples.
Innovation Solution
A central server-based interactive testing system utilizing infrared spectroscopy or Fourier transform infrared spectroscopy to analyze biological samples, generating health profiles by processing spectral measurement data and comparing them to reference patterns, thereby providing early warnings of diseases such as diabetes, cardiovascular diseases, and other health risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If remote measurement systems are used to analyze biological samples, then early detection of disease indicators is enabled, but the system complexity and infrastructure requirements increase
Solution Approach 1:
A central server acts as an intermediary between remote measurement systems and healthcare providers. The server receives spectral measurement data from distributed remote instruments, performs centralized processing using chemometric methods, and delivers health profiles to users. This mediator approach enables early detection capability while managing system complexity centrally rather than at each remote device.
Solution Approach 2:
The system enables self-service health monitoring where individuals can perform biological sample analysis at home using remote measurement devices. The automated data transmission to the central server and automatic generation of health profiles allow users to independently monitor their health status without requiring complex local analytical infrastructure or professional intervention for each measurement.
2Measurement precision
If centralized data processing is used to analyze spectral measurement data, then measurement precision is improved, but data transmission and processing time increase
Solution Approach 1:
The central server maintains pre-established chemometric models and reference databases for various chemical components and disease indicators. When spectral measurement data arrives, the server performs rapid comparison against these pre-prepared references rather than building analysis models from scratch. This preliminary preparation of analytical tools significantly reduces processing time while maintaining high measurement precision.
Solution Approach 2:
The system replaces complex mechanical or manual data analysis processes with automated chemometric computing methods. Spectral data is automatically processed using mathematical models and algorithms that rapidly identify chemical components and disease indicators, substituting time-consuming manual interpretation with efficient computational analysis that maintains high precision.
3Measurement precision
If comprehensive health profiles are generated and shared with healthcare providers, then diagnostic accuracy is improved, but data privacy and security risks increase
Solution Approach 1:
The system extracts and processes only the specific spectral data and health profile information necessary for diagnostic purposes, rather than transmitting or storing all raw measurement data. By extracting only the essential diagnostic information and comparing it against reference patterns, the system maintains diagnostic accuracy while minimizing the amount of sensitive data that requires secure transmission and storage.
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 early detection of disease indicators, reducing hospital pressures by providing timely health warnings and promoting preventive healthcare, allowing individuals to improve their lifestyle and seek medical attention promptly, while also supporting healthcare providers with advanced data analysis and decision-making tools.
Implementation Method 1
a spectral measurement instrument based on infrared spectroscopy, near infrared spectroscopy or Fourier transform infrared spectroscopy
Implementation Method 2
a spectral measurement instrument based on infrared spectroscopy, near infrared spectroscopy or Fourier transform infrared spectroscopy
Data Source
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AI summary
The invention relates to a system and a method for health monitoring service based on a central server. Measurements of biological samples (e.g. blood, saliva and urine) are carried out by a remote measurement system. The measurement data are sent to a central server, where the data are processed and analyzed, for example by expert knowledge systems, and a health profile generated is sent back to the remote measurement system. A health care provider may receive the results of the analysis carried out by the expert knowledge system, and the health care provider may further upload laboratory measurements, which can be included in the health analysis of the person. It is preferred that the system and method according to the invention is capable of providing an early warning of diseases that causes changes in chemical components in the biological sample.