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Diabetes early screening system and method based on big data

A technology of diabetes and big data, applied in the field of Internet + telemedicine, can solve the problems of stay, detection doctor intervention, etc., achieve the effect of realizing intelligent judgment level, improving detection accuracy and penetration rate

Pending Publication Date: 2020-11-13
NCC MEDICAL
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, its research and development is still focused on the detection of EMG signals, and no physician intervention has been performed on the detection.

Method used

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  • Diabetes early screening system and method based on big data
  • Diabetes early screening system and method based on big data

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0016] At present, the early screening of diabetes is realized by non-networked electromyography detection equipment, and the screening results are judged by the experience of the electromyography operator. The reliance on the personal experience of electromyography technicians reduces the possibility of errors caused by human factors. The technical problem to be solved by the present invention is to provide a system and method for early screening of diabetes based on big data, to realize the level of intelligent identification of EMG data, and to improve the accuracy and popularization of EMG detection for early diagnosis of diabetic peripheral neuropathy. Rate.

[0017] To achieve the above object, the present invention provides a method for early screening of diabetes based on big data, comprising the following steps:

[0018] A. Physicians use the nerve electromyography method to detect and measure the motor nerve conduction velocity (MCV) and sensory nerve conduction vel...

Embodiment 2

[0028] Embodiment 2 can be regarded as a preferred example of Embodiment 1. The system for early screening of diabetes based on big data described in Example 2 utilizes the steps of the method for early screening of diabetes based on big data described in Example 1.

[0029] A system for early screening of diabetes based on big data, including:

[0030] Electromyography detection equipment: used to detect and measure the motor nerve conduction velocity (MCV) and sensory nerve conduction velocity (SCV) of the screening population, obtain the relevant detection data of the electromyogram, and input the basic data of the evaluation object at the same time;

[0031] EMG expert terminal: used for remote entry and maintenance of normal value screening lines, diagnostic conclusion statements, and confirmation and modification of abnormal results and diagnostic conclusions;

[0032] Cloud platform for early diabetes screening: Use AI algorithm to quickly screen a large amount of EMG ...

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Abstract

The invention provides a diabetes early screening system and method based on big data. The electromyogram detection equipment terminal detects and measures the motor nerve conduction velocity and thesensory nerve conduction velocity of the screened crowd to obtain electromyogram detection data, and receives basic data of an evaluation object, the electromyogram detection data and the basic data of the evaluation object are transmited to a diabetes early screening cloud platform; an electromyogram expert terminal presets normal value screening lines of different screening conditions through remote entry, presets corresponding diagnosis conclusion statements, and confirms and modifies abnormal results and diagnosis conclusions; and the diabetes early screening cloud platform quickly screensa large amount of electromyogram detection data and quickly outputs a processing result. Diabetes early screening based on big data is realized, the intelligent identification and judgement level ofmyoelectricity data is realized, and the myoelectricity diagram detection accuracy and popularity rate of early diagnosis of diabetic peripheral neuropathy are improved.

Description

technical field [0001] The present invention relates to the technical field of Internet + telemedicine, in particular to a system and method for early screening of diabetes based on big data. Background technique [0002] Diabetic peripheral neuropathy (DPN) is the most common chronic complication of diabetes. It is prone to concurrent infection or disability. In severe cases, amputation is required to control the development of the disease, which seriously affects the quality of life of patients. However, people with symptoms or asymptomatic peripheral nerve damage in early diabetes are easy to miss due to untimely diagnosis and treatment of the disease. Early electromyography detection can improve the diagnostic rate of DPN, especially for early diagnosis of patients without symptoms of peripheral nerve damage. [0003] According to reports in the literature, the pathological changes of diabetic peripheral neuropathy are mainly focal and segmental demyelination of myelina...

Claims

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Application Information

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IPC IPC(8): A61B5/0488A61B5/00G16H50/30G16H50/70G16H40/67
CPCA61B5/7267A61B5/7235A61B5/7246G16H50/30G16H50/70G16H40/67
Inventor 康文尹厚民李慧华张群峰许红霞傅敏骅程帆王荣荣于壮云韩忠张英琼
Owner NCC MEDICAL
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