Layered 3D Human Body Model for Personalized Health Visualization
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Solution Overview
Problem
Current health management systems fail to provide comprehensive health assessment and personalized human body models due to limited data collection, inconveniences in data management, and inadequate display technologies that obscure complex human body structures, making it difficult for individuals to understand their health status and take effective measures.
Innovation Solution
A health management system with modules for health assessment, intervention, and personalized human body model generation and display, allowing users to interactively explore their health data and body information through customizable display interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional statistical methods are used to generate personalized human body variable models, then the models can be created, but computing resources are heavily occupied, requiring high computing and time costs with narrow applicability
Solution Approach 1:
The patent segments the human body model into multiple tissue layers (epidermis, dermis, subcutaneous tissue, muscle, bone, etc.), each with independent optical properties and parameters. This segmentation allows the complex inverse problem to be divided into smaller, more manageable sub-problems for each layer, reducing overall computational complexity while maintaining precision.
Solution Approach 2:
The patent introduces a new dimensional approach by incorporating multi-spectral or multi-wavelength optical measurements, transforming the problem from a single-dimensional to multi-dimensional space. This enables more accurate parameter estimation through additional measurement dimensions without proportionally increasing computational burden.
2Loss of information
If complex human body models are displayed with various organs or tissues mutually penetrated or occluded, then complete anatomical information is provided, but it becomes difficult to observe and operate, rendering the model unusable for ordinary people without professional medical knowledge
Solution Approach 1:
The patent divides the complex human body model into distinct tissue layers that can be independently visualized and manipulated. Each layer represents a specific anatomical structure with its own optical properties, allowing users to observe individual layers without the occlusion problem of fully penetrated organ displays.
Solution Approach 2:
The patent implements dynamic, interactive visualization where users can control the transparency, depth, and visibility of different tissue layers in real-time. This dynamic adjustment capability allows ordinary users to explore anatomical structures at their own pace without being overwhelmed by complete anatomical complexity.
3Measurement precision
If existing technologies are used to display human body information, then basic anatomical structures can be shown, but accurate and true display of everyone's unique human body information such as spatial position of each system and mutual relationships between systems cannot be achieved
Solution Approach 1:
The patent applies local quality by assigning specific optical properties, absorption coefficients, and scattering parameters to each local tissue region and layer. This allows the model to accurately represent individual variations in spatial position and tissue characteristics while maintaining the ability to customize for different users.
Solution Approach 2:
The patent utilizes parameter changes by adjusting optical properties, layer thicknesses, and spatial coordinates based on individual user data. This enables accurate representation of each person's unique anatomy while maintaining model versatility across different populations.
4Ease of operation
If users only pay attention to particular health parameters or do not understand physical examination report contents, then health management becomes simple, but users cannot accurately assess their own health status or take effective intervention measures
Solution Approach 1:
The patent introduces an intermediary processing layer that automatically analyzes physical examination data, optical measurement data, and tissue parameters to generate comprehensive health assessments. This intermediary system translates complex medical data into user-friendly health insights, maintaining simplicity while preventing information loss.
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors health parameters, compares them against reference ranges and individual baselines, and provides actionable recommendations. This feedback loop enables accurate health assessment while guiding users toward effective intervention measures.
Data Source
AI summary
A health management system, including: a health assessment module configured to obtain human health-related health parameter information of a user, and generate a health condition assessment result on the basis of the health parameter information; a health intervention module configured to generate a health management plan on the basis of the health condition assessment result; a human body model generation module configured to generate a human body model that can be displayed on a display interface; and a human body information display model configured to: obtain at least one first display instruction each corresponding to one human body system model of a plurality of human body system models medically classified according to human body systems, and display, on the display interface, the three-dimensional human body model in the form of layers based on the human body system model corresponding to the at least one first display instruction.