Knee osteoarthritis diagnosis system based on inherent time scale decomposition, phase space reconstruction and neural network

Abstract

The invention provides a knee osteoarthritis diagnosis system based on inherent time scale decomposition, phase space reconstruction and neural network. The system comprises a gait data acquisition module, a gait characteristic extraction module, a modeling module based on an RBF neural network, a training bait mode database, a dynamic estimator module and a diagnosis module. Based on the extracted bait dynamics data of knee joint angle and displacement, through inherent time scale decomposition, an effective rotation component signal is extracted. Phase space reconstruction is performed on the effective rotation component signal. An Euclidean distance is calculated. An effective gait characteristic variable is acquired. Neural network modeling and identification are dynamically performedon the gait system of a healthy normal person and a training person who suffers from the knee osteoarthritis. A normal value neural network is used for constructing a dynamic estimator, thereby realizing auxiliary diagnosis to the knee osteoarthritis. Compared with diagnosis facilities such as magnetic resonance imaging and arthroscope operation, the system has advantages of noninvasive operation,time saving, cost saving, etc.

Description

technical field [0001] The invention relates to a knee osteoarthritis diagnosis system based on intrinsic time scale decomposition, phase space reconstruction and neural network using machine learning and nonlinear signal processing, which can be used as an auxiliary means for orthopedic surgeons to make preliminary diagnosis. Background technique [0002] Knee osteoarthritis (KOA) is a chronic degenerative disease that affects joint function. According to statistics, 50% of people over the age of 60 have osteoarthritis on X-ray films, of which 35%-50% There are clinical manifestations; 80% of people over 75 years old have symptoms of osteoarthritis. The onset is characterized by degeneration and loss of articular cartilage and regeneration of joint margins and subchondral bone, accompanied by varying degrees of bone hyperplasia, muscle fibrosis and other symptoms, leading to joint pain, difficulty walking, and gait changes. Long-term abnormal gait will aggravate the condit...

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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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