Wrist joint rehabilitation training effect evaluation method based on radial flexion dynamic and static features

Abstract

The invention discloses a wrist joint rehabilitation training effect evaluation method based on radial flexion dynamic and static features, and the method comprises the steps: collecting skeleton point information of a patient in a rehabilitation process through a depth camera, then carrying out the preprocessing of the collected skeleton point information data, calculating a static feature set and a dynamic feature set of radial flexion respectively, and calculating the completion degree of the radial flexion action acording to the static feature set and a static feature set of a preset rehabilitation action; then, uploading the static characteristics, the dynamic characteristics and the motion completion degree of the rehabilitation motion completed by the patient to a server, evaluating the completion speed, the motion fluency and the motion difficulty degree of the patient by the server according to the training result, and scoring the patient in combination with the radial flexion motion completion degree. According to the method, the influence of limb type differences of different patients on the evaluation accuracy is eliminated, and the quantitative evaluation of the rehabilitation training effect and the rehabilitation degree of the wrist joint of the patient is scientifically and accurately performed on the basis of radial flexion dynamic and static characteristics and in combination with a medical scale-FMA scale.

Description

technical field [0001] The invention relates to the technical field of rehabilitation training, in particular to a method for evaluating the effect of wrist joint rehabilitation training based on radial flexion, dynamic and static characteristics. Background technique [0002] The hand is the most common injured part of the body. Due to the fine and complex anatomy of the hand, it is difficult to recover the function of the hand after hand trauma, and the disability rate is high, which seriously affects the daily life and working ability of patients. Hand function is mainly accomplished through the flexible and coordinated movements of the wrist joint and fingers. For wrist dysfunction, the most common rehabilitation exercise is radial flexion. However, in the evaluation process of traditional rehabilitation methods, relying on the doctor's subjective observation or subjective experience to measure the rehabilitation training effect of rehabilitation training actions, the r...

AI Technical Summary

Problems solved by technology

However, there are still many deficiencies in the method of using image recognition technology: (1) The range of motion of the wrist joint is small and the activity time is short, and accurate evaluation cannot be performed only by image recognition; (2) There is no rehabilitation assessment scale suitable for computer use , just simply apply the existing scale; (3) There are differences in the wrist joints of different patients, and there are large errors in the simple image recognition method

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