Gait analysis method capable of carrying out auxiliary screening on knee osteoarthritis

Abstract

The invention discloses a gait analysis method capable of carrying out auxiliary screening on knee osteoarthritis. The gait analysis method comprises the following steps: on the basis of the gait characteristic data of an extracted knee joint angle and displacement, dynamically carrying out neural network modeling and identification on the gait system of healthy normal people and the gait system of knee osteoarthritis patients; establishing a constant value neural network; and utilizing the constant value neural network to construct a dynamic estimator, distinguishing abnormal gaits caused by the knee osteoarthritis and the normal gaits of general healthy crowd according to a minimum error principle on the basis of differences between the gait modes of the healthy normal people and the knee osteoarthritis patients on an aspect of gait system dynamics to realize the auxiliary screening detection of the knee osteoarthritis. An optical sensor obtains the gait characteristic data, and the abnormal gaits caused by the knee osteoarthritis and the normal gaits of the general healthy crowd can be conveniently and simply distinguished in a non-intrusive way. Compared with screening means including magnetic resonance imaging, arthroscopic surgeries and the like, the gait analysis method can realize the noninvasive screening of the knee osteoarthritis and saves time and cost.

Description

technical field [0001] The invention relates to a gait analysis method for auxiliary screening of knee osteoarthritis. Background technique [0002] Knee osteoarthritis (KOA) is a chronic clinical syndrome characterized by degeneration of articular cartilage as the main pathological feature, which greatly affects the quality of life of patients, and severe cases become disabled and disabled. It is called "undead cancer". . Knee osteoarthritis is a common lesion of articular cartilage, subchondral bone and surrounding soft tissue caused by mechanical and biological factors, and the main clinical manifestations are pain and walking dysfunction. [0003] The anatomical structure of the knee joint is complex. The meniscus increases the contact between the inner and outer cartilages of the tibia and femur. The ligaments mainly play a role in guiding joint activities, while the surrounding muscles stabilize the static and dynamic postures of the joint. This double bone structure ...

AI Technical Summary

Problems solved by technology

However, there is a lack of research on how to model the dynamics of the nonlinear gait system and distinguish between the two groups of people based on the differences in gait system dynamics to assist in the screening and detection of knee osteoarthritis. It is also one of the difficult problems

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