Pain grade evaluation method and system

A grade evaluation and grade technology, applied in the field of brain science, can solve problems such as pain assessment of difficult patients, without considering abnormal changes in chronic pain, etc., and achieve the effect of removing pathological effects

Pending Publication Date: 2022-04-05
LANZHOU UNIVERSITY
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Problems solved by technology

[0004] This application provides a pain level assessment method and system to solve the problem in the prior art that it is difficult to accurately

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  • Pain grade evaluation method and system
  • Pain grade evaluation method and system
  • Pain grade evaluation method and system

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Embodiment Construction

[0052] The embodiments will be described in detail hereinafter, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following examples do not represent all implementations consistent with this application. These are merely examples of systems and methods consistent with aspects of the present application as recited in the claims.

[0053] Based on the exemplary embodiments described in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the appended claims of this application. In addition, although the disclosures in this application are introduced as exemplary one or several examples, it should be understood that each aspect of these disclosures can als...

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Abstract

The invention provides a pain grade assessment method and system, and the method comprises the steps: building a brain network corresponding to each piece of sample data through the sample data of a pain sample, a control sample and an induction sample, and calculating the topological attribute value of each brain network model, the dynamic variation gradient attribute of the brain network corresponding to the pain sample data relative to the brain network corresponding to the contrast sample data and the weight value of each brain region participating in pain perception are obtained, so that the dynamic pain marker is obtained, and the pain perception degree of the brain of the chronic pain patient can be accurately and quantitatively evaluated according to the dynamic pain marker. According to the method and the system provided by the invention, the variability of the pain sample relative to the contrast sample can be intuitively reflected through the dynamic variation gradient attributes of the brain regions, and the pathological influence of chronic pain can be effectively removed through the obtained weight values of the brain regions participating in pain perception; the obtained dynamic pain marker is more focused on a body perception layer, and a more objective pain grade evaluation result is obtained.

Description

technical field [0001] The present application relates to the technical field of brain science, in particular to a method and system for assessing pain levels. Background technique [0002] Chronic pain is the most common and important symptom in the disease. As a subjective symptom, the degree of pain is generally evaluated based on the patient's own feelings. Therefore, the level of pain is difficult to quantify, and how to objectively evaluate pain intensity has always been a research problem for scholars. The current pain assessment methods are mainly based on the patient's subjective score, including: numerical rating scale, visual analog scale, language rating scale and so on. However, these methods are highly subjective and cannot form an objective and unified pain assessment system. [0003] With the rapid development of bioelectricity and imaging technologies such as EEG, MRI, and MRI, the objective detection and evaluation of chronic pain through brain activity h...

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Application Information

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IPC IPC(8): G16H50/20G16H50/30
Inventor 胡斌郑炜豪赵磊磊姚志军
Owner LANZHOU UNIVERSITY
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