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Gastroesophageal gas reflux detection device

A detection device and gastroesophageal technology, which can be applied in the fields of inoculation ovulation diagnosis, diagnostic recording/measurement, medical science, etc., can solve the problems of low efficiency of pH value detection, unstable detection data, and cumbersome detection steps by artificial colorimetry, and achieve The effect of improving the comfort of detection, improving the stability and automation, and improving the ability of efficient classification

Inactive Publication Date: 2020-04-28
THE SECOND HOSPITAL OF HEBEI MEDICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The 24-hour esophageal pH detection procedure is cumbersome, and the pH motor is easily placed in the esophagus for a long time, which may cause discomfort to the human body. The artificial colorimetric method is inefficient to detect the pH value, and the detection data is unstable.

Method used

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  • Gastroesophageal gas reflux detection device
  • Gastroesophageal gas reflux detection device
  • Gastroesophageal gas reflux detection device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] see Figure 1-2 , a device for detecting gastroesophageal gas reflux, comprising: a capsule, a data line, and a controller; the capsule includes a first housing and a second housing, and the first housing and the second housing are configured by The threaded connection port is sealed and connected; the shell is a hollow structure, and one end of the capsule body close to the first shell is provided with a transparent bracket. There is a test paper holder; the first housing is provided with a through hole, and the through hole corresponds to the test paper holder; the outside of the transparent bracket is provided with a lighting lamp; There is a camera, and the camera is located directly above the transparent support; a vibration motor is arranged in the second housing, and the vibration motor is connected to the inner wall of the second housing; the capsule is connected to the connection to the controller described above.

[0037] The controller includes an ARM proce...

Embodiment 2

[0040] The difference from Embodiment 1 is that a detection method of a gastroesophageal gas reflux detection device includes the following steps:

[0041] S1: Put the capsule deep into the throat, turn on the micro-vibration motor; saliva enters the interior of the capsule through the through hole opened by the capsule, and soaks the pH test paper;

[0042] S2: the camera is controlled by the controller to take pictures of the discoloration of the PH test paper, and the picture data is transmitted to the ARM processor for data preprocessing;

[0043] S3: Utilize BP neural network to carry out data processing to image data, three data of color, tone, saturation of the image of collecting are used as the training data that PH test paper detects;

[0044]S4: The small random error generated by the neural network can be further eliminated with the increase of the training times, and the accurate PH test result can be obtained to further determine the condition of the tested perso...

Embodiment 3

[0049] On the basis of embodiments one and two, in addition, the setting of hidden layer nodes is related to the number of input layer and output layer nodes, too many hidden layer nodes are set, and the training time is too long, which is prone to over-fitting phenomenon; hidden layer If there are too few nodes, the network performance is poor, and the hidden layer node M satisfies the following relationship:

[0050] M=α·(b+c) 1 / 2 ;

[0051] In the formula, b is the number of input nodes; c is the number of output nodes; α is any integer from 0-5.

[0052] The selection of the initial weight will largely affect whether the learning of the BP neural network reaches a local minimum and whether it converges; the setting range of the initial weight is (-2.4 / F, 2.4 / F), and F is the number of input neurons The weight setting range between the input layer and the hidden layer is (-0.8,0.8), and the weight setting range between the hidden layer and the output layer is (-1.2,1.2). ...

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Abstract

The invention discloses a gastroesophageal gas reflux detection device. The gastroesophageal gas reflux detection device comprises a capsule, a data line and a controller; the capsule comprises a first shell and a second shell, and the first shell and the second shell are connected through a formed threaded connection opening in a sealed mode; the shells are of hollow structures, a transparent support is arranged at the end, close to the first shell, in the capsule, the transparent support is of a U-shaped structure, and a test paper frame is arranged on the inner side of the transparent support; a camera is arranged on an inner wall at the end, close to the second shell, in the capsule, and the camera is located over the transparent support; and the capsule is connected with the controller through the data line and a power line. By placing the micro capsule in a throat, pH test paper image data is gotten, by means of efficient classification capability of a BP neural network, the complexity of pH detection is effectively reduced, the detection comfort level is raised, meanwhile, the accuracy of a detected pH value is improved, the detection efficiency is further improved, and thestability of data detection is improved.

Description

technical field [0001] The invention belongs to the technical field of reflux detection, in particular to a device for detecting gastroesophageal gas reflux. Background technique [0002] Gastroesophageal reflux is a disease in which gastroesophageal reflux and esophageal mucosa are damaged due to excessive contact or exposure of the gastroesophageal cavity to gastric juice. Esophageal pH value detection, etc. [0003] The current 24-hour esophageal pH value detection method is to rotate the pH electrode in the distal esophagus (usually 5 cm above the LES) to monitor the acid reflux situation in the esophagus day and night, which can display acid reflux, diurnal acid reflux pattern, and acid reflux in detail. relationship between flow and symptoms, and patient response to treatment; normal intraesophageal pH is 5.5-7.0, and is considered the "gold standard" for diagnosing acid reflux when pH is <4 total time >4.0%; pH > 7 is alkaline reflux, pH 4-7 is weak acid re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00A61B10/00
CPCA61B5/4211A61B10/00A61B2010/0061
Inventor 刘国超
Owner THE SECOND HOSPITAL OF HEBEI MEDICAL UNIV
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