Gait analysis method for auxiliary screening of injury of anterior cruciate ligament

Abstract

The invention discloses a gait analysis method for auxiliary screening of injury of anterior cruciate ligament. The method comprises the following steps: based on the gait characteristics of the extracted knee joint angle and displacement, carrying out neural network modeling and identification on gait system dynamics of healthy normal persons and patients with injury of anterior cruciate ligament; establishing a constant neural network; constructing a dynamic estimator by utilizing the constant neural network; and based on the difference between gait modes of the healthy normal persons and the patients with injury of anterior cruciate ligament in gait system dynamics, distinguishing the abnormal gait caused by the injury of anterior cruciate ligament from the normal gait of the healthy persons according to the minimum error principle, thereby realizing auxiliary screening detection of the injury of anterior cruciate ligament. According to the invention, the gait characteristic data of the knee joint angle and displacement is acquired through an optical sensor, so that the abnormal gait caused by the injury of anterior cruciate ligament and the normal gait of the healthy persons can be conveniently, simply and non-intrusively distinguished; and compared with the screening means, such as magnetic resonance imaging and arthroscopic surgery, the method disclosed by the invention can realize non-invasive screening and can save time and cost.

Description

technical field [0001] The invention relates to a gait analysis method for auxiliary screening of anterior cruciate ligament injury. Background technique [0002] Knee joint motion is the most complex in joint biomechanical motion. Walking is the most frequent movement mode of the knee joint, and it is also the movement mode that is easier to measure and can be accurately analyzed in the biomechanical analysis of the knee joint. The anterior cruciate ligament (ACL) is located in the knee joint and connects the femur to the tibia. It is an important static and stable structure of the knee joint, and its main function is to limit the excessive forward displacement of the tibia. There are mechanoreceptors on its surface, which work together with other structures in the knee joint to regulate the dynamic stability structure, that is, the muscles around the joint through neuromuscular reflexes, so as to maintain the stability of the knee joint and enable the human body to comple...

AI Technical Summary

Problems solved by technology

However, 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 anterior cruciate ligament injuries is lack of corresponding research, and it is also One of the difficult problems

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