A method for evaluating motor function in rehabilitation training of an upper limb rehabilitation robot

Abstract

An upper limb rehabilitation robot rehabilitation training motor function evaluation method, which uses the self-corrected AHP-fuzzy analysis and evaluation method to transform the clinical motor function evaluation content into an upper limb rehabilitation robot evaluation index system, and uses the upper limb rehabilitation robot data collection function to The robot's movement function evaluation indicators are quantified, and the evaluation standards for each evaluation indicator are given; on this basis, the hierarchical relationship and comment system of the upper limb rehabilitation robot's evaluation indicators are determined, and the upper limb rehabilitation robot's movement function evaluation model is established; for the upper limb rehabilitation robot Rehabilitation training motor function evaluation. By converting clinical motor function evaluation content into an index system for upper limb rehabilitation robot evaluation, the present invention demonstrates the feasibility and effectiveness of the self-corrected AHP-fuzzy analysis evaluation method in upper limb rehabilitation evaluation, and is consistent with the clinical motor function evaluation results. consistent. The present invention has foreseeable relatively huge economic and social value.

Description

technical field [0001] The invention relates to the technical field of medical device design and application, and in particular provides a method for evaluating motor function of an upper limb rehabilitation robot for rehabilitation training. Background technique [0002] In the prior art, the rehabilitation evaluation of hemiplegia after stroke is mainly carried out by evaluating the patient's movement, speech, psychology, and daily life functions. [J]. Chinese Journal of Rehabilitation Medicine, 2004, 19(3): 232-233], briefly described as follows: [0003] (1) Evaluation of motor function: master the abnormal movement patterns of hemiplegic patients, and use the main clinical methods for evaluating motor function of hemiplegic patients according to the evaluation content; (2) Evaluation of speech and language functions: comprehensive aphasia examination, dysarthria examination , speech apraxia test, speech disorder test, dementia aphasia test and other aspects of speech f...

AI Technical Summary

Problems solved by technology

None of them are quantitative calculations and the sensitivity and accuracy are not high, and there are shortcomings such as too many detection actions, time-consuming detection and data statistics, and patients are prone to fatigue.

In addition, in the evaluation process, in order to ensure the accuracy of the results, the evaluation is often carried out by one person from the beginning to the end, and various data describing the rehabilitation process cannot be recorded in real time, making the measurement of rehabilitation evaluation indicators not objective enough. High level requirements are not conducive to in-depth research on the neurological rehabilitation of hemiplegic patients

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