Flexible scoliosis brace personalized adaptation system based on artificial intelligence analysis

Through a flexible scoliosis brace system combined with multi-frequency phase structured light and machine learning, the problems of measurement accuracy and individual differences are solved, and high-precision and dynamic adaptation of scoliosis correction are achieved, improving patient compliance and treatment effects.

CN120509129APending Publication Date: 2025-08-19PEKING UNION MEDICAL COLLEGE HOSPITAL +1
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Patent Information

Application Number
CN202510613241.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-13
Publication Date
2025-08-19

AI Technical Summary

Technical Problem

In the prior art, the personalized adaptation system for flexible scoliosis braces has problems such as limited measurement accuracy, lack of quantitative evaluation standards, difficulty in adapting to individual differences, and lack of dynamic tracking and rapid iteration mechanisms.

Method used

Three-dimensional scanning is performed by multi-frequency phase structured light projection and dual-band laser-assisted calibration, point cloud capture and attitude calibration are performed in combination with improved iterative close-point algorithm, and the bracket model and pressure matrix are output using the machine learning prediction module. Pressure data is collected in real time through a flexible resistive sensor array and partition model prediction control is performed to achieve closed-loop optimization.

Benefits of technology

It realizes submillimeter-level measurement accuracy, automatically extracts key points and geometric indicators of spinal curves, outputs personalized brace parameters, supports dynamic tracking and rapid iteration of patients in the growth and development stage, and improves the retention rate and treatment effect of orthopedic force.

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Abstract

The invention discloses a flexible scoliosis brace personalized adaptation system based on artificial intelligence analysis. The flexible scoliosis brace personalized adaptation system comprises a dimensional scanning module, a feature extraction and curve fitting module, a machine learning prediction module and an adaptation verification and closed loop module. The three-dimensional scanning module is used for adopting multi-frequency phase structured light projection and dual-band laser to assist calibration; and the feature extraction and curve fitting module is used for accurately matching the three-dimensional image of the spine of the patient with the reference anatomical model Mref through an improved I-ICP algorithm. The invention belongs to the technical field of medical auxiliary data processing, and aims to solve the problems that in the prior art, the measurement precision is limited, quantitative evaluation standards are lacked, individual differences are difficult to adapt, and a dynamic tracking and rapid iteration mechanism is lacked. The method has the technical effects that the problems that the measurement precision is limited, a quantitative evaluation standard is lacked, individual differences are difficult to adapt, and a dynamic tracking and rapid iteration mechanism is lacked are effectively solved.
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