Use method of personalized body surface film

Abstract

The invention discloses a preparation method of an intelligent body surface film, which realizes instant customization of a personalized sports protective film through systematic integration of three-dimensional scanning, biomechanical analysis and a rapid prototyping technology. Compared with the prior art, according to the scheme, the film pasting adaptation precision can be improved by 60% or above, the protection efficiency is improved by 45%, and meanwhile the preparation time is shortened to be within 30 minutes.

Description

Technical Field

[0001] The present invention relates to the field of sports medicine auxiliary technology, and is particularly suitable for preventing sports injuries, improving sports performance, and protecting joints during sports rehabilitation. Specifically, it relates to a method for preparing and using a personalized body surface film based on 3D scanning and rapid prototyping technology. Background Art

[0002] Current sports protective films have the following limitations:

[0003] 1. Universal products are difficult to adapt to individual joint morphology differences and lack fitting accuracy;

[0004] 2. The traditional cutting method relies on the operator's experience and has high requirements on the operator. The lack of scientific guidance on the use of film will hinder the protective effect;

[0005] 3. The existing personalized film preparation cycle is long and the cost is high. Summary of the Invention

[0006] The present invention provides a method for preparing and using an intelligent and personalized body surface patch, which solves the existing technical problems through the following innovative solutions:

[0007] Core technical solutions:

[0008] 1. 3D data acquisition system

[0009] A 3D scanning device is used to obtain the surface morphology data of the target joint; and motion biomechanical parameters (including joint motion angle, stress distribution, etc.) are collected simultaneously.

[0010] 2. Intelligent modeling and analysis module

[0011] Establish a three-dimensional digital model that includes anatomical structural features; simulate stress distribution during movement based on finite element analysis; and match the optimal film solution database through machine learning algorithms.

[0012] 3. Rapid prototyping system

[0013] Generate film structural parameters (including thickness gradient, material density distribution, etc.) according to the optimization plan; use selective deposition 3D printing technology to achieve functional zoning structure or form nano-scale composite coating through intelligent spraying system. DETAILED DESCRIPTION

[0014]

Example 1

[0015] Step 1: Data Collection

[0016] A handheld laser scanner scanned the knee joint 360°, acquiring a surface model with an accuracy of 0.1mm. During scanning, the subject maintained a naturally straight knee, and the scanner circled the knee at a uniform speed to ensure complete and accurate data collection. Simultaneously, stress data were collected on a motion simulation platform during knee flexion and extension (0-135°), documenting the biomechanical characteristics of the knee at various angles of motion.

[0017] Step 2: Intelligent Modeling and Analysis

[0018] Based on the collected knee joint surface topography data and biomechanical parameters, a three-dimensional digital model incorporating anatomical structural features was constructed. Finite element analysis was used to simulate the stress distribution of the knee joint under different motion states, accurately locating stress concentration areas and weak links. Using machine learning algorithms, a protective solution that matched the specific anatomical conditions of the subject's knee was matched to a database of optimal film solutions, ensuring the scientific and effective nature of the personalized design.

[0019] Step 3: Generate film structure parameters

[0020] Based on the matching protection solution, the structural parameters of the knee joint film are generated. For example, the film thickness gradually increases from 0.2mm at the edge to 1.5mm in the center, and the material density is appropriately increased in stress-concentrated areas to provide stronger support and protection. Furthermore, the film's shape and functional zoning are optimized based on the movement characteristics and stress conditions of the knee joint, ensuring it effectively disperses stress and enhances joint stability during movement.

[0021] Step 4: Rapid Prototyping

[0022] Selective deposition 3D printing technology is used to create functionally zoned knee joint patches, or an intelligent spraying system forms a nanoscale composite coating. During the printing or spraying process, strict adherence to generated structural parameters ensures the patch's thickness gradient and material density distribution meet design requirements, providing personalized knee protection. This customized patch design effectively improves knee joint stability and safety during exercise, reducing the risk of sports injuries.

[0023]

Example 2

[0024] Ankle joint application

[0025] Step 1: Data Collection

[0026] A handheld laser scanner scanned the ankle joint 360°, obtaining a surface model with 0.1mm accuracy. During scanning, the subject was required to maintain a relaxed ankle position, with the scanner moving around the ankle at a uniform speed to ensure complete and accurate data collection. Simultaneously, stress data were collected on a motion simulation platform during ankle joint movements of 0-20° dorsiflexion, 0-45° plantar flexion, 0-30° inversion, and 0-20° eversion.

[0027] Step 2: Intelligent Modeling and Analysis

[0028] Based on the collected ankle joint surface topography data and biomechanical parameters, a three-dimensional digital model incorporating anatomical structural features was constructed. Finite element analysis was used to simulate the stress distribution of the ankle joint under different motion states, identifying stress concentration areas and weak links. A machine learning algorithm was used to match a protective solution from a database of optimal film solutions with the specific anatomical conditions of the subject's ankle joint.

[0029] Step 3: Generate film structure parameters

[0030] Based on the matching protection solution, the structural parameters of the ankle joint film are generated. For example, the film thickness is 0.2mm at the edge and gradually increases to 1.2mm in the center. The material density is appropriately increased in the stress concentration area to provide stronger support and protection.

[0031] Step 4: Rapid Prototyping

[0032] Selective deposition 3D printing technology is used to create functionally zoned ankle patches, while an intelligent spraying system forms a nanoscale composite coating. During the printing or spraying process, strict adherence to generated structural parameters ensures that the patch's thickness gradient and material density distribution meet design requirements, providing personalized ankle protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 :System workflow diagram

[0034] Figure 2 : 3D modeling schematic

[0035] Figure 3 : Stress analysis diagram

[0036] Figure 4 : Cross-section of personalized film structure.

Claims

1. A method for preparing and using a personalized body surface patch, characterized in that: The following steps are involved: (a) acquiring surface topography data of a target joint using a 3D scanning device, and simultaneously collecting biomechanical parameters of the joint during motion, including joint motion angle and stress distribution data; (b) Based on the data from step (a), a three-dimensional digital model including anatomical structural features is established, the motion stress distribution is simulated through finite element analysis, and the optimal film protection solution is matched using a machine learning algorithm; (c) determining the structural parameters of the film according to the protection scheme generated in step (b), including thickness gradient, material density distribution, and functional zoning; (d) Rapid prototyping technology is used to prepare a personalized body surface patch according to the structural parameters of step (c) through selective deposition 3D printing or intelligent spraying system.

2. The method according to claim 1, characterized in that The biomechanical parameters in step (a) are synchronously collected through a motion simulation platform, and the 3D scanning device is a handheld laser scanner with a scanning accuracy of not less than 0.1 mm.

3. The method according to claim 1, characterized in that The machine learning algorithm described in step (b) matches the film design scheme corresponding to the anatomical characteristics and movement requirements of the target joint through a pre-trained database.

4. The method according to claim 1, wherein The thickness gradient of the film in step (c) is 0.2 mm to 1.5 mm, and the material density in the stress concentration area is higher than that in other areas.

5. The method according to claim 1, wherein The rapid prototyping technology described in step (d) is selective deposition 3D printing, which realizes the functional zoning structure of the film by depositing materials of different densities or thicknesses layer by layer.

6. The method according to claim 1, characterized in that The rapid prototyping technology described in step (d) is an intelligent spraying system that forms a gradient thickness and density distribution of the film through a nano-scale composite coating.

7. A personalized body surface film preparation system, characterized in that: include: (i) 3D scanning module, used to obtain surface topography data of the target joint; (ii) a motion biomechanical parameter acquisition module, which is used to synchronously record the stress distribution and activity angle during joint motion; (iii) Intelligent modeling and analysis module, used to build a three-dimensional digital model and generate film protection solutions; (iv) Rapid prototyping module, used to prepare personalized films according to structural parameters.

8. The system according to claim 7, characterized in that The rapid prototyping module is a selective deposition 3D printer or an intelligent spraying device.

9. A personalized body surface patch prepared according to the method according to any one of claims 1 to 6, characterized in that: Its thickness, density and functional zoning are customized according to the anatomical structure and sports biomechanical parameters of the target joint, and a reinforced support structure is provided in the stress concentration area.

10. The personalized body surface film according to claim 9, characterized in that: The film is made of degradable biomaterial, and its degradation rate matches the exercise recovery cycle.

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