Backflow judgment system, method and equipment and storage medium

Abstract

The invention discloses a reflux judgment system, method and device and a storage medium. The system comprises a detection index determination module used for determining a plurality of detection indexes for reflux detection according to curve characteristics of a time impedance pH data curve of gastroesophageal reflux; the impedance pH data acquisition module is used for acquiring the impedance pH data of the esophagus of the to-be-tested person through a gastroesophageal impedance pH system; the parameter information determination module is used for determining parameter information corresponding to each detection index according to the detection indexes based on the impedance pH data; and the reflux analysis module is used for analyzing the corresponding parameter information according to the reflux characteristic corresponding to each detection index by utilizing a pre-constructed reflux analysis model so as to determine the reflux type corresponding to the impedance pH data. According to the curve characteristics of the time impedance pH data curve of gastroesophageal reflux, various detection indexes capable of reflecting reflux characteristics are determined, multi-dimensional detection of reflux is realized, and the accuracy of reflux judgment is improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a backflow judging system, method, device and storage medium. Background technique [0002] The international definition of gastroesophageal reflux disease (Gastroesophageal Reflux Disease, GERD) refers to the symptoms or complications of gastric content returning to the esophagus, non-erosive reflux disease (Nonerosive refluxdisease, NERD) and erosive esophagitis (Erosive esophagitis, EE) is the most common manifestation of GERD. Multi-channel impedance-pH detection can effectively detect the type of reflux in GERD patients, and its diagnostic indicators mainly include AET (>4.2 is positive), DeMeester score (>14.72 is positive) and SI / SAP (SI>50% and / or Or SAP>95% is positive). Through clinical statistical analysis, acid-resistant reflux events, acid clearance time, fluid resistance reflux events, and proximal reflux are the main factors causing esophageal injur...

AI Technical Summary

Problems solved by technology

[0004] However, the current impedance ph system used for gastroesophageal reflux disease detection on the market basically uses wavelet analysis or time-domain analysis algorithms to judge the reflux waveform, and then displays the reflux on the software, but the simple wavelet analysis Or the time-domain analysis algorithm is more difficult for ordinary doctors or users, and reflux can only be identified through the waveform marked by the software

At present, there is a sensitivity problem in the reflux judgment of major manufacturers. In the end, doctors need to manually judge reflux based on experience. The doctor’s judgment level determines the accuracy of diagnosis to a certain extent, which reduces the accuracy of reflux diagnosis. sex

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