Lower back pain symptom classification system and method based on sample entropy

Abstract

The invention provides a lower back pain symptom classification system based on sample entropy. A pre-treated multifidus electromyographic signal is subjected to sample entropy algorithm processing to obtain left-side and right-side multifidus electromyographic signal sample entropy characteristic values of a plurality of testers; an average value of the left-side and right-side multifidus electromyographic signal sample entropy characteristic values of the plurality of testers is solved; the average value is used as a whole characteristic parameter of each tester; analyzing through a K mean value clustering algorithm to obtain a classification result of different symptoms; the sample entropy characteristic values extracted from collected multifidus electromyographic signals of core muscle around a vertebral column in a human trunk bending process are used for dividing lumbar degenerative symptoms, and theoretical foundations are provided for an estimation manner of a human muscle physiological signal system and a human disease comprehensive system; the lower back pain symptom classification system is scientific and object, and is simple to operate and low in cost.

Description

technical field [0001] The invention relates to a low back pain symptom classification system based on sample entropy. Background technique [0002] Lumbar disc herniation is a frequently-occurring disease in spinal surgery. It is mainly due to the phenomenon of nucleus pulposus protrusion and annulus fibrosus rupture under the high-energy impact of the patient's cartilage plate, annulus fibrosus and nucleus pulposus, which may damage the patient's nerves. The root and the dural sac are stimulated, which seriously affects the daily life of the patient. [0003] At present, the diagnosis of lumbar disc herniation and lumbar fasciitis is mainly through X-ray, CT scan, MRI examination, etc. The prices of these examinations vary. The general X-ray is about 100 yuan or more, and the CT scan is 300 yuan. To 500 yuan, while MRI is about 1000 yuan, through these examination results, the doctor makes a corresponding diagnosis. These examinations and diagnostic measures can only be ...

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Problems solved by technology

[0004] Invention patent 201180034896.X provides a method for diagnosing intervertebral disc degenerative diseases. The method uses the markers of inflammation, blood vessels, neurons or metabolic pain in or adjacent to the intervertebral disc of back pain patients, and increases the pain marker image by imaging Combined with the pain generator or suspected pain generator to diagnose patients, this invention also uses images to diagnose patients, the operation is relatively cumbersome, and it needs to be completed with the cooperation of medical staff, which has certain limitations

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