Intelligent evaluation method and system based on virtual reality rehabilitation training

Abstract

The invention relates to the field of rehabilitation evaluation, and relates to an intelligent evaluation method based on virtual reality rehabilitation training. The intelligent evaluation method comprises the steps that a movement angle evaluation mode during rehabilitation training is selected; an upper computer program acquires real-time angle data of the movement when a patient interacts witha virtual reality program; the virtual reality program drives an object in the game to move according to the angle data; real-time evaluation and feedback are performed according to the target completion condition of the patient; target data is uploaded to the upper computer program when the game is over; the training score is calculated according to a preset weight; and graphical processing is performed on the training score and other training data so as to generate an evaluation report. The invention further provides a corresponding system. The intelligent evaluation method and system realize real-time evaluation and feedback for the rehabilitation training while enabling the patient to realize limb rehabilitation training in the virtual scene by means of games, realize the evaluation report of the current session and an automatic analysis report of training results of different sessions after the rehabilitation training, and change many shortcomings of the original artificial rehabilitation evaluation.

Description

technical field [0001] The invention relates to the field of rehabilitation evaluation, in particular to an intelligent evaluation method and system based on virtual reality rehabilitation training. Background technique [0002] In providing rehabilitation treatment services for patients, rehabilitation assessment is as important as rehabilitation training, and rehabilitation assessment runs through the entire process of rehabilitation treatment. The current evaluation techniques for limb dysfunction are still mainly based on manual manual evaluation by therapists and some scale evaluations. [0003] These evaluation methods are not only time-consuming and laborious, but also can only be implemented before or after the patient's rehabilitation training. These evaluation methods cannot provide real-time evaluation and immediate feedback during the patient's rehabilitation training, let alone implement automatic analysis and comparison between the training results of differen...

AI Technical Summary

Problems solved by technology

[0003] These evaluation methods are not only time-consuming and laborious, but also can only be implemented before or after the rehabilitation training of patients

These evaluation methods cannot provide real-t

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