A diagnostic system for esophageal functional diseases based on multimodal information

Abstract

The invention discloses an esophagus functional disease diagnosis system based on multi-mode information. The system comprises a multi-mode information acquisition system, and a computer with a multi-mode information pre-processing system, a multi-mode information fusion program and a conditional probability table. The multi-mode information acquisition system is used for acquiring multiple kindsof single-mode information. A single-mode information pre-processing unit corresponding to each kind of single-mode information acquired by the multi-mode information acquisition system is arranged inthe multi-mode information pre-processing system. The multi-mode information fusion program is used for calculating the multi-mode information fusion probability through a Bayes inference model according to the single-mode information and the conditional probability table and judging esophagus functional diseases according to the multi-mode information fusion probability. The technical problem that in the prior art, the diagnosis accuracy of diagnosing the esophagus functional diseases according to single-mode characteristics is not high is solved, the esophagus functional diseases are diagnosed through multi-mode information fusion, and the diagnosis accuracy can be improved.

Description

technical field [0001] The invention relates to the technical field of medical devices, in particular to a diagnostic system for functional diseases of the esophagus. Background technique [0002] Functional esophageal disease refers to a type of esophageal disease whose clinical manifestations are symptoms in the esophagus or adjacent areas, and no organic lesions are found by biochemical, imaging, and endoscopic examinations, or the clinical symptoms cannot be explained by organic diseases . According to epidemiological statistics, the annual average incidence rate of esophageal functional diseases worldwide is 25%. In China, at least 200 million people have symptoms related to esophageal functional diseases, and the number of patients is increasing year by year. 50-60% of these patients need to receive accurate diagnosis and symptomatic treatment. The most typical esophageal functional diseases mainly include: (1) non-erosive gastroesophageal reflux disease (NERD); (2) ...

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Problems solved by technology

[0003] There are roughly three problems that urgently need to be solved for esophageal functional diseases: (1) There are a large number of NERD patients, traditional monitoring methods (such as endoscopy) cannot detect esophageal mucosal tissue damage or inflammation, single detection methods (such as pH monitoring, high-resolution esophageal manometry) can only exclude related diseases (such as excluding functional heartburn), and the diagnostic accuracy is not high; (2) NCCP and angina pectoris (Angina) have very similar symptoms, and the misdiagnosis rate is high; (3) There is a certain correlation between NERD, NCCP and esophageal hyperalgesia, and the existing methods cannot accurately quantify this correlation

[0004] Based on the existing research results, esophageal characteristics such as esophageal pressure, esophageal geometric size, esophageal shape, esophageal stimulation sensitivity, and esophagus-stomach physiological angle (Hiss) can be used as criteria for the diagnosis of functional diseases, but a single esophageal characteristic analysis It is easy to cause misdiagnosis, and the correlation performance between the analysis features can effectively improve the detection accuracy

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