Re-optimization of gait classification method

Abstract

The invention discloses re-optimization of a gait classification method, and r elates to the technical field of gait analysis; the method comprises the following steps: S10, acquiring foot pressure information and stride information of a plurality of groups of different crowds during walking, and correspondingly recording identity characteristic information of the different crowds; and S20, obtaining foot pressure and stride sizes of the different crowds during walking according to the foot information of the different crowds during walking in the S10. According to re-optimization of the gaitclassification method, through data acquisition in the earlier stage, feature value extraction, the acquired data is analyzed and process for obtaining a class function model; the process includes inputting basic information of some new patients through the model, so the optimal adaptive planning gait of the patient can be obtained, key information related to the gait of the new patient can be effectively obtained through the corresponding mechanism, rehabilitation gait planning is conducted on the new patient through the information, mismatching of the patient in rehabilitation training can be effectively reduced, and the rehabilitation training efficiency of the patient is improved.

Description

technical field [0001] The invention relates to the technical field of gait analysis, in particular to re-optimization of a gait classification method. Background technique [0002] With the intensification of aging and the occurrence of various accidents in recent years, the population of patients with lower limb movement disorders in my country has also increased year by year, and most of the current rehabilitation training for these patients adopts standard gait training. It is well known that everyone's Compared with other people, the gait is very different, and the standard gait of rehabilitation training for everyone is difficult to meet the needs of every patient. In the actual operation process, in order to reduce unnecessary troubles, A one-size-fits-all approach to rehabilitation for every unique patient is unwise and equally unsatisfactory. [0003] It is obviously unscientific to deal with each patient with a constant and undifferentiated rehabilitation training p...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides a re-optimization of the gait classification method, which has the advantage of being able to treat patients with different conditions and improve the utilization rate of resource waste, and solves the problems mentioned in the above-mentioned background technology

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