Meridian Parameter Data Processing System for Objective Biomedical Conversion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional medical services rely heavily on subjective interpretation of physiological data, limiting the ability of all clinics to perform advanced medical procedures effectively, especially in integrating traditional Chinese medicine meridian parameters with Western medicine diagnostics.
Innovation Solution
A data processing system with sensors to collect meridian parameters, a measurement unit to generate biomedical data, and an AI interpretation engine to convert these parameters into objective biomedical data and prediction indicators compatible with Western medicine standards, facilitating accurate medical specialty assignment and treatment decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional medical services use simple instruments to collect physiological data, then the ease of operation is improved, but the measurement precision and objectivity deteriorate due to reliance on subjective interpretation
Solution Approach 1:
The patent replaces the mechanical/manual system of subjective interpretation with an automated data processing system that includes sensors, measurement units, and AI interpretation engines. This substitution transforms physiological data collection from a subjective process into an objective, automated measurement system while maintaining ease of operation through standardized procedures.
Solution Approach 2:
The patent introduces an intermediary data processing system between the simple physiological data collection and the final medical diagnosis. This intermediary system processes raw data through standardized algorithms and AI engines, providing objective intermediate results that bridge the gap between simple measurement and complex medical interpretation.
2Measurement precision
If advanced apparatus are used for inspection, then the measurement precision is improved, but the device complexity increases and requires sophisticated interpretation skills
Solution Approach 1:
The patent segments the complex medical inspection process into distinct functional modules: sensors for data collection, measurement units for signal processing, AI interpretation engines for analysis, and output systems for results. This segmentation allows each component to be optimized independently while reducing the overall system complexity through standardized interfaces.
Solution Approach 2:
The patent creates a universal data processing platform that can handle multiple types of physiological data and medical inspections through standardized algorithms and AI engines. This multi-functional system can perform various medical examinations using the same core infrastructure, reducing device complexity while maintaining measurement precision.
3Ease of operation
If subjective judgement is used in medical interpretation, then the ease of operation is improved, but the reliability and objectivity of diagnosis deteriorate
Solution Approach 1:
The patent implements feedback mechanisms where the AI interpretation engines continuously process and refine medical data, providing objective feedback to medical personnel. This feedback loop ensures consistent, reliable interpretation while maintaining ease of operation through automated decision support systems that guide medical professionals through standardized diagnostic protocols.
Data Source
AI summary
A data processing system includes a plurality of sensors, a measurement unit, an operating unit and a display. The sensors are attached onto a body of a subject at a plurality of sensing zones to generate a plurality of sensing signals. The measurement unit in communication with the plurality of sensors measures the plurality of sensing signals and generates a parameter set containing a plurality of meridian signal values. The operating unit in communication with the measurement unit receives the parameter set and performs an operation of the parameter set to generate a set of biomedical data. The display in communication with the operating unit shows the set of biomedical data.