Abnormal gait detection method based on determined learning theory

Abstract

The invention discloses an abnormal gait detection method based on a determined learning theory. The abnormal gait detection method based on the determined learning theory includes the steps that features are extracted, neural network modeling and identification are dynamically carried out on a gait system of healthy and normal people and patients with motor neurodegenerative diseases of different types on the basis of the extracted gait features, a constant neural network is built, a dynamic estimator is built by the utilization of the constant neural network, and abnormal gaits caused by the motor neurodegenerative diseases are distinguished from normal gaits of the general healthy people according to the minimum error principle on the basis of differences between the gait mode of the healthy and normal people and the gait mode of the patients with the motor neurodegenerative diseases of different types on the gait system dynamics, so that the abnormal gaits are detected accurately and a detection result is evaluated. The abnormal gait detection method based on the determined learning theory has the advantages that the method is convenient and easy to implement and is in a non-invasion mode, and under the intelligent home environment, daily gait monitoring on family members can be achieved by mounting a pressure sensing floor system or wearing special shoes with sensor insoles.

Description

technical field [0001] The invention relates to a pattern recognition technology, in particular to an abnormal gait detection method based on deterministic learning theory. Background technique [0002] Human walking motion is a precise and complex process, and its motion pattern is determined by the dynamic interaction between the central nervous system and feedback mechanisms. Some diseases of aging, as well as some neurological diseases, can cause problems with this process. When a person walks, there is a signal transduction pathway between the motor nerve that produces movement awareness in the central nervous system and the muscles that produce action in the lower limbs. If there is a movement signal transmission obstacle in this pathway, the direct symptom is the abnormal gait of the person. Many common diseases in the elderly, such as Parkinson's disease (Parkinson Disease; PD), amyotrophic lateral sclerosis (Amyotrophic Lateral Sclerosis; ALS), Huntington's disease...

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 detect abnormal gaits caused by motor neurodegenerative diseases is lacking. Research is also a difficult problem

Images