Gait asymmetry detection method based on gravitational acceleration

Abstract

The invention provides a gait asymmetry detection method based on gravitational acceleration. The method comprises the steps that the acceleration signals of the front chest part of the human body inthe constant-speed walking process are collected through a three-axis acceleration sensor; the temporal sequence of the signals is subjected to frequency-domain quadratic integration, and the displacement temporal sequence in the walking process is obtained; based on the gravity displacement change in the movement process, the gait characteristic value is extracted; based on the gait characteristic value, the gait asymmetry coefficient in the moving process of the left and right legs is calculated; according to the asymmetry coefficient, the gait asymmetry in the movement process of the humanbody is detected. By means of the method, the movement characteristic value can be directly extracted in the movement data and calculated, no special devices are needed, meanwhile, the requirements ofoperation staff for specialized knowledge are reduced, the obtained measurement result is high in reference value, and the method is suitable for the daily health care of the elderly in families, nursing homes and other sites.

Description

technical field [0001] The invention belongs to the field of health detection and relates to a method for detecting gait asymmetry based on acceleration of gravity. Background technique [0002] my country's elderly population has a large base, rapid growth, and an obvious aging trend. Studies have shown that the range of activities and time of activities of the aging population is mainly based on the family, so the daily health monitoring of the family occupies an increasingly important position. The hospital's diagnosis of the disease is mainly based on the characteristics of the case, but many diseases related to the limbs have abnormal movements of the limbs before the onset of the disease. Such as joint disease, Parkinson's disease, stroke, etc., the initial performance is decreased exercise ability, abnormal gait and other symptoms. If the pre-disease characteristics can be detected in advance through daily exercise detection, it can be detected early, prevented and ...

AI Technical Summary

Problems solved by technology

The testee needs to move in a designated area or equipment, use a high-speed camera to capture the screen, and then use image technology for identification and analysis, which greatly limits the promotion of health detection technology based on gait analysis

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