Human muscle and bone health condition analysis method based on motion features and knowledge graph

Abstract

The invention discloses a human muscle and bone health condition analysis method based on motion features and a knowledge graph. The method comprises the following steps: S1, measuring the posture of a human body through a six-axis inertial sensing measurement unit; s2, measuring the motion range of each joint of the human body; s3, calculating the number of change peak values, the number of change troughs and the size of an excessive change extreme value between the change peak values in an angle-time change process in the measured angle curve of the activity change along with time; s4, inputting the curve characteristics into a human skeletal muscle knowledge graph, and judging problems existing in joints and bones; s5, on the basis of knowing that a certain specific muscle and skeleton have a problem, giving the severity of the problem suffered by the current testee through the human skeletal muscle knowledge graph; and S6, analyzing and scoring the whole muscle and skeleton of the testee, and finally generating an evaluation report. The bone muscle system injury risk can be accurately and objectively evaluated, and a targeted intervention scheme is given.

Description

technical field [0001] The invention relates to a method for analyzing the health status of human muscles and bones, in particular to a method for analyzing the health status of human muscles and bones based on motion characteristics and knowledge maps. Background technique [0002] The motion capture system, especially the evaluation and monitoring system combined with human biomechanics, has a wide range of needs in orthopedics, rehabilitation, sports medicine, training monitoring, etc. In the existing system, the main methods for evaluating the function of the patient's musculoskeletal joint movement system include subjective, artificial judgment, scale evaluation, various types of rulers, protractors and other simple tools. and equipment. Among the above-mentioned evaluations, the joint mobility test is widely used, and gait analysis has become a more representative evaluation method because of its large amount of information and relatively low functional requirements f...

AI Technical Summary

Problems solved by technology

Restricted by subjective factors, the evaluation results of the same patient by different doctors are often quite different, and the course of disease and recovery progress cannot be effectively compared and evaluated before treatment, after treatment, and during the recovery period, resulting in the inability to correctly understand and evaluate the treatment effect. Directly affect the improvement and improvement of treatment methods

[0004] Most of the current research methods on the market are concentrated in the field of walking gait, while the traditional systems have not fully utilized the potential of accurate data collection, biomechanical data analysis, and assistance centered on sensing + intelligence + human-computer interaction; On the one hand, the direction of its research is limited to the simple data collection of human movement, and no further research work on the data, including parsing its typical characteristics from the data, so as to establish the relationship between characteristics and muscles, bones, joints, and nerve innervation. The relationship between the human musculoskeletal health system, and then find the cause of the problem

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