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A method for analyzing dysfunction of patients with low back pain and a device for realizing the method

A technology for dysfunction and analysis devices, which is applied in medical science, diagnosis, diagnostic recording/measurement, etc., can solve problems such as many problems, poor sensitivity, and long questionnaire time, and achieve short time consumption, improved accuracy, and low cost Effect

Active Publication Date: 2019-05-31
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the Oswestry Disability Index Scale has many questions and is more complicated, and it is not easy for older or elderly people to understand and complete it. The questionnaire takes a long time, and its sensitivity is poor in patients with mild dysfunction.

Method used

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  • A method for analyzing dysfunction of patients with low back pain and a device for realizing the method
  • A method for analyzing dysfunction of patients with low back pain and a device for realizing the method
  • A method for analyzing dysfunction of patients with low back pain and a device for realizing the method

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Embodiment Construction

[0022] The present invention will be described in more detail below in conjunction with the accompanying drawings and embodiments.

[0023] The invention discloses a method for analyzing dysfunction of patients with low back pain, such as figure 1 As shown, the method includes the following steps:

[0024] Step S1, constructing an Oswestry dysfunction index questionnaire, using the questionnaire to conduct a questionnaire survey on patients, and obtaining the patient's Oswestry dysfunction level according to the questionnaire results;

[0025] Step S2, collecting surface electromyographic signals of the patient's waist and back;

[0026] Step S3, performing filtering processing on the surface electromyography signal;

[0027] Step S4, extracting the root mean square (RMS) eigenvalue of the filtered surface electromyographic signal, and calculating the maximum amplitude of the root mean square RMS;

[0028] Step S5, constructing a mapping relationship between the root mean s...

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Abstract

The invention discloses a method for analyzing dysfunction of a patient with low back pain. The method comprises the following steps of S1, building a Qswestry dysfunction index questionnaire, performing questionnaire query on a patient through the questionnaire, and obtaining the Qswestry dysfunction class of the patient according to the questionnaire result; S2, collecting surface electromyogram signals of the waist and back of the patient; S3, filtering the surface electromyogram signals; S4, extracting RMS (root mean square) feature value of the filtered surface electromyogram signals, and calculating the maximum amplitude of the RMS; S5, building a mapping relationship between the maximum amplitude of RMS in step S4 and the Qswestry dysfunction class in step S1, and evaluating the dysfunction of the patient with low back pain based on the mapping relationship. The method has the advantages that the analysis process of the dysfunction of the patient with low back pain is simpler and more reliable, and the implementing is easy.

Description

technical field [0001] The present invention relates to patient dysfunction detection technology, in particular to a method for analyzing dysfunction of low back pain patients combined with surface electromyography signal detection and Oswestry dysfunction test and a device for realizing the method. Background technique [0002] Low back pain is very common in modern society and is one of the most common ailments encountered in orthopedics, sports medicine, and rehabilitation medicine clinics, and is the second leading reason for hospital visits after upper respiratory infections. About 70%-85% of the people in the world have experienced low back pain at least once in their lifetime, and its lifetime prevalence rate can be as high as 60%-90%, and the annual prevalence rate reaches 15%-45%. Between 35-55 years old. The high prevalence of low back pain causes a large number of labor losses, and leads to high medical expenses and work injury compensation, which has become a so...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/00A61B5/0488
CPCA61B5/48A61B5/7235A61B5/389
Inventor 周芳李慧慧杜文静彭菲周林王磊
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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