Method and system for estimating contact force of knee joint musculoskeletal model driven by electromyographic signals

Abstract

The present invention relates to a method and system for estimating the contact force of the musculoskeletal model of the knee joint driven by electromyographic signals. The method includes: establishing a contact force estimation model, including a signal processing model, an OpenSim individual model, a muscle activation model, and a muscle contraction mechanics model As well as the external adduction torque model, the signal processing model preprocesses the input data, the OpenSim individual model scales the general model to individual physiological parameters, the muscle activation model is used to obtain muscle activation, and the muscle contraction mechanics model is used to obtain muscle torque. The external adduction torque model is used to obtain the external adduction torque; optimize the parameters of the contact force estimation model; obtain the myoelectric signal data, joint angle signal data and plantar pressure signal data, and input them as input signals into the parameter optimized In the contact force estimation model, the knee joint contact force is calculated. The method and system are convenient to use, and are conducive to improving the accuracy of contact force estimation.

Description

technical field [0001] The invention belongs to the field of gait analysis, in particular to a method and system for estimating the contact force of a knee joint musculoskeletal model driven by electromyographic signals. Background technique [0002] Knee joint is an inevitable part of human lower limb activities. Knee joint osteoarthritis (Osteoarthritis, OA) is a common chronic joint disease, especially in middle-aged and elderly people. The number of patients in my country has exceeded 36 million. The prevalence of patients over 50 years old doubles every 10 years, with a high disability rate, and the number of patients undergoing total knee arthroplasty (TKA) is increasing at a rate of 100,000 per year. The prevention and rehabilitation of knee osteoarthritis are closely related to people's quality of life, and its development prospects determine how many patients can return to their original living conditions. [0003] The pathogenic factors of knee osteoarthritis inclu...

AI Technical Summary

Problems solved by technology

[0013] 1. In terms of data: the existing indirect estimation of the internal contact force of the knee joint is mainly based on the simulation of the musculoskeletal model. The input data are: the motion trajectory obtained by the motion capture system, the three-dimensional force / torque obtained by the Myoelectric signals measured by electrical sensors, the first two input data rely on high-end gait laboratories, limited by the size of the site, it is difficult to meet the requirements in general research sites or medical scenarios

[0014] 2. In terms of calibration: the public general musculoskeletal model is initialized by the average value of multiple human body data. For each muscle, the maximum isometric force, tendon relaxation length, optimal muscle fiber length and pinnate angle are all based on experience. The value cannot be well matched to the individual user, which will cause errors in the estimation of the contact force of the knee joint and affect the judgment of the wear degree of the prosthesis

Using this developer interface to estimate the contact force of the knee joint is only suitable for scientific researchers with certain professional knowledge, and it is difficult for other general audiences to use it, and it cannot be conveniently operated

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