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Limb movement training scheme automatic recommendation method and system

A technology for sports training and recommendation methods, applied in character and pattern recognition, biological neural network model, medical data mining, etc., can solve problems such as dependence

Pending Publication Date: 2021-07-06
国家康复辅具研究中心
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, rehabilitation training prescriptions are mostly issued by doctors based on the patient's clinical manifestations and clinical scale evaluation results, which largely rely on the doctor's experience

Method used

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  • Limb movement training scheme automatic recommendation method and system
  • Limb movement training scheme automatic recommendation method and system
  • Limb movement training scheme automatic recommendation method and system

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Embodiment Construction

[0029] In the following, only some exemplary embodiments are briefly described. As those skilled in the art would realize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention. Accordingly, the drawings and descriptions are to be regarded as illustrative in nature and not restrictive.

[0030] Such as figure 1 As shown, the automatic recommendation method of the limb exercise training scheme based on scale and brain function index of the present invention comprises the following steps:

[0031] S0: Before the training program is recommended, the neural network model for the adaptive recommendation of the training program is pre-established.

[0032] The pre-established neural network model is trained based on a sports training program database composed of a large number of patient scales, brain function evaluation indicators, and sports training prescriptions. The training method is: the ...

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Abstract

The invention provides a limb movement training scheme automatic recommendation method and system. The method comprises the following steps: carrying out Brunnstrom scale, Holden walking ability grading, Berg balance scale and improved Ashworth scale evaluation on the patient, and recording the grade of evaluation results of each scale; collecting cerebral cortex oxyhemoglobin concentration change data of the left / right forehead lobe, the left / right movement area and the left / right occipital lobe of the patient in a resting state, and calculating a functional connection index between every two brain areas; according to the evaluation result of the scale and the function connection index of the brain interval, utilizing a pre-established neural network model to automatically recommend the exercise training scheme; and pushing the recommended exercise training scheme to a doctor for auditing, and using the evaluation result of the scale, the functional connection index between brain regions and the training scheme confirmed / modified by the doctor for updating the pre-established neural network model.

Description

technical field [0001] The invention relates to the field of limb movement rehabilitation training, in particular to a method and system for automatically recommending a limb movement training scheme. Background technique [0002] There are more than 2 million new stroke patients in my country every year, and the trend is increasing year by year. Among them, 55-75% of stroke patients show motor dysfunction. At the same time, brain function damage caused by cerebral palsy and traumatic brain injury will also lead to limb motor dysfunction, which brings a heavy burden to patients, their families and society. Rehabilitation training is the most important means to restore motor function of patients. However, whether it is traditional artificial rehabilitation training or rehabilitation training based on rehabilitation training equipment, formulating personalized rehabilitation training prescriptions according to different conditions of patients is an important condition to ensu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H20/30G16H50/70G06K9/62G06N3/04A61B5/145
CPCG16H20/30G16H50/70A61B5/145G06N3/045G06F18/2411
Inventor 张腾宇张静莎李增勇徐功铖霍聪聪李文昊
Owner 国家康复辅具研究中心
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