Knee osteoarthritis diagnosis system on basis of phase space reconstruction, Euclidean distances and neural networks

Abstract

The invention discloses a knee osteoarthritis diagnosis system on the basis of phase space reconstruction, Euclidean distances and neural networks. The knee osteoarthritis diagnosis system comprises gait data acquisition modules, gait feature extraction modules, modeling modules on basis of the RBF (radial basis function) neural networks, training gait pattern libraries, dynamic estimator modulesand diagnosis modules. Compared with diagnosis means such as magnetic resonance imaging and arthroscopic surgery, the knee osteoarthritis diagnosis system has the advantages that determination learning theories and knee joint angle and displacement features are combined with one another to be applied to dynamically locally and accurately modeling and identifying nonlinear gait systems of healthy persons and knee osteoarthritis patients, the knee joint angle and displacement features are obtained by phase space reconstruction and Euclidean distance computation, learned gait dynamics knowledge is stored in the form of constant neural network weights, classification is carried out by the aid of the difference between the healthy persons and the knee osteoarthritis patients in the aspect of gait system dynamics, accordingly, the knee osteoarthritis diagnosis system can assist in diagnosing and detecting knee osteoarthritis, and the knee osteoarthritis can be noninvasively diagnosed by theknee osteoarthritis diagnosis system; the knee osteoarthritis diagnosis system is noninvasive, the time and the expense can be saved, and the like.

Description

technical field [0001] The invention relates to a knee osteoarthritis diagnosis system based on phase space reconstruction, Euclidean distance and neural network using machine learning, which can provide decision support for the preliminary diagnosis of orthopaedic surgeons. Background technique [0002] Knee osteoarthritis (KOA) is a chronic degenerative disease that affects joint function. More than 50% of people over 65 years old have X-ray findings of osteoarthritis. The incidence of KOA in people over 60 years old in my country up to 49%. The disease is mainly caused by primary degenerative changes in articular cartilage, accompanied by varying degrees of bone hyperplasia, muscle fibrosis and other symptoms, resulting in joint pain and difficulty in walking, seriously reducing the mobility of middle-aged and elderly people, and greatly increasing the number of patients. medical costs and social burdens. The knee joint is the largest joint in the human body. In a normal...

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Problems solved by technology

How to extract the characteristic variables reflecting the nonlinear dynamics of the gait system from the gait signal, model the dynamics of the nonlinear gait system, and based on the differences in the dynamics of the gait system between the two groups of people The lack of corresponding research is also one of the difficult problems

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