Assessment method and system for hand function rehabilitation training

Abstract

The invention provides an assessment method and an assessment system for hand function rehabilitation training. The method comprises the steps of determining a hand articulation point needing to be detected in a preset hand standard action; capturing the coordinate position of the hand articulation point needing to be detected via somatosensory equipment, and analyzing the movement state and the posture of a user hand; tracking and displaying the movement state and posture of the user hand; judging whether the movement state and the posture of the user hand accord with the preset hand standard action; if no, outputting a prompting message; if yes, computing a quantized value of action completeness of the user hand; and outputting the quantized value to serve as a hand function rehabilitation training result of the user. According to the method and the system provided by the invention, interference of an external sensor on movement of the user hand is avoided, the training process of the user is intuitively reflected through tracking the hand action of the user in real tie, and thus the more accurate rehabilitation training assessment result is provided for doctors and the user.

Description

technical field [0001] The invention relates to the technical field of medical devices, in particular to a hand function rehabilitation training evaluation method and system. Background technique [0002] Hand function rehabilitation training can effectively help hemiplegic patients recover hand function. The general hand function mode can be divided into two types: forceful grasp and precise grasp. A power grip is a combination of thumb movement and forceful flexion and extension of the ring and pinky fingers on the ulnar side of the hand. The precision grasp is a finer functional movement completed by the radial part of the hand. If you want to carry out hand function rehabilitation training, you need to start from these two aspects, and achieve the effect of rehabilitation treatment by completing corresponding movements with the hands. [0003] In order to facilitate rehabilitation and ensure the accuracy of rehabilitation training, hand function rehabilitation training...

AI Technical Summary

Problems solved by technology

However, in this method, during the rehabilitation training process, the user needs to wear smart gloves all the way, which interferes with the user's hand movements

In addition, although the above method can digitally quantify the training results, it cannot allow users to feel the progress of the training results intuitively and in real time. It is impossible to know the effect of each single training action, and the training results can only be obtained after the training is over.

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