CN-114569109-B - Reflux cough detection device, method, equipment and storage medium

CN114569109BCN 114569109 BCN114569109 BCN 114569109BCN-114569109-B

Abstract

The application discloses a reflux cough detection device, method, equipment and storage medium, which comprise the steps of utilizing a data acquisition catheter to acquire first data for determining whether a target patient cough and second data for determining whether gastroesophageal reflux occurs, wherein the data acquisition catheter is a detection catheter integrating a plurality of target sensors, recording the first data and the second data through a preset data recorder, establishing a data transmission link between the preset data recorder and the data acquisition catheter through a catheter connector of the data acquisition catheter, analyzing the first data and the second data recorded through the preset data recorder through preset data analysis software to generate an association index, judging whether the association index meets preset conditions, and detecting that the target patient suffers from reflux cough when the association index meets the preset conditions. The application utilizes the data acquisition catheter to accurately and timely acquire the cough and gastroesophageal reflux data, accurately detects the reflux cough, and solves the clinical diagnosis problem of reflux cough.

Inventors

HU RENYOU
PENG ZHANGJIE
LIU JIANG
YANG XIAOPING
ZHANG FUHUANG

Assignees

重庆金山医疗技术研究院有限公司

Dates

Publication Date: 20260512
Application Date: 20220228

Claims (5)

1. A reflux cough detection device, comprising: The system comprises a data acquisition module, a data acquisition catheter, a data acquisition module and a data processing module, wherein the data acquisition module is used for acquiring first data for determining whether a target patient cough and second data for determining whether the target patient has gastroesophageal reflux or not by utilizing a data acquisition catheter; the data recording module is used for recording the first data and the second data through a preset data recorder, and the preset data recorder establishes a data transmission link with the data acquisition catheter through a catheter connector of the data acquisition catheter; the data analysis module is used for analyzing the first data and the second data recorded by the preset data recorder through preset data analysis software to generate corresponding association indexes; the condition judging module is used for judging whether the association index meets a preset condition; The detection module is used for detecting that the target patient suffers from reflux cough when the association index meets a preset condition; The data acquisition module comprises a data acquisition unit, a data acquisition unit and a data processing unit, wherein the data acquisition unit is used for acquiring sound wave data and pressure data for determining whether a target patient coughs or not and acquiring pH data for determining whether the target patient suffers from gastroesophageal reflux or not by utilizing a data acquisition catheter integrating a sound sensor, a pressure sensor and a pH sensor; The data recording module comprises a data recording unit, a data processing unit and a data processing unit, wherein the data recording unit is used for recording the sound wave data, the pressure data and the pH data according to a preset data format through a preset data recorder; The data analysis module comprises a waveform generation sub-module, a data set construction sub-module, an index determination sub-module, a data set analysis module and a data analysis module, wherein the waveform generation sub-module is used for analyzing the sound wave data, the pressure data and the pH data recorded by the preset data recorder through preset data analysis software to generate corresponding sound wave waveforms, pressure waveforms and pH waveforms; wherein the dataset construction sub-module comprises: A first judging unit configured to judge whether a gastroesophageal reflux event occurs within a preset time before occurrence of a cough event and a non-cough event based on the acoustic waveform, the pressure waveform, and the pH waveform; a first statistics unit configured to determine that the cough event and the non-cough event are related to the gastroesophageal reflux event and count a first occurrence number of the cough event related to the gastroesophageal reflux event and count a second occurrence number of the non-cough event related to the gastroesophageal reflux event when the gastroesophageal reflux event occurs within a preset time before the occurrence of the cough event and the non-cough event; A second statistics unit configured to determine that the cough event and the non-cough event are not related to the gastroesophageal reflux event and count a third occurrence number of the cough event that is not related to the gastroesophageal reflux event and count a fourth occurrence number of the non-cough event that is not related to the gastroesophageal reflux event when the gastroesophageal reflux event does not occur within a preset time before the occurrence of the cough event and the non-cough event; A data set constructing unit, configured to construct a target data set for calculating the relevance between the cough event and the gastroesophageal reflux event based on the first occurrence count, the second occurrence count, the third occurrence count, and the fourth occurrence count; the index determination submodule includes: the P value calculating unit is used for processing the target data set by using a Fisher exact test method to obtain a P value representing the relevance of the cough event and the gastroesophageal reflux event, wherein the P value calculating formula is as follows: Wherein a is the first occurrence number, b is the second occurrence number, c is the third occurrence number, d is the fourth occurrence number, and n is the sum of the four occurrence numbers; An index determination unit for determining an index of association between the cough and the gastroesophageal reflux based on the P value.
2. The reflux cough detection device of claim 1, wherein the condition determination module includes: A first threshold judging unit, configured to judge whether the P value is not greater than a first preset association threshold; Correspondingly, the detection module comprises: The first detection unit is used for detecting that the target patient suffers from reflux cough when the P value is not larger than the first preset association threshold value; or, a second threshold judging unit, configured to judge whether the association index is not less than a second preset association threshold; Correspondingly, the detection module comprises: and the second detection unit is used for detecting that the target patient suffers from reflux cough when the association index is not smaller than the second preset association threshold value.
3. A method for detecting reflux cough, comprising: Collecting acoustic data and pressure data for determining whether a target patient coughs and collecting pH data for determining whether gastroesophageal reflux occurs in the target patient using a data collection catheter integrating a sound sensor, a pressure sensor, and a pH sensor; Recording the sound wave data, the pressure data and the pH data according to a preset data format by a preset data recorder, wherein the preset data recorder establishes a data transmission link with the data acquisition catheter through a catheter connector of the data acquisition catheter; Analyzing the sound wave data, the pressure data and the pH data recorded by the preset data recorder by preset data analysis software to generate corresponding sound wave waveforms, pressure waveforms and pH waveforms; Judging whether a gastroesophageal reflux event occurs in a preset time before a cough event and a non-cough event occur or not based on the acoustic waveform, the pressure waveform and the pH waveform; determining that the cough event and the non-cough event are related to the gastroesophageal reflux event and counting a first occurrence of the cough event related to the gastroesophageal reflux event and counting a second occurrence of the non-cough event related to the gastroesophageal reflux event when the gastroesophageal reflux event occurs within a preset time before the occurrence of the cough event and the non-cough event; determining that the cough event and the non-cough event are not related to the gastroesophageal reflux event and counting a third occurrence number of the cough event not related to the gastroesophageal reflux event and a fourth occurrence number of the non-cough event not related to the gastroesophageal reflux event when the gastroesophageal reflux event does not occur within a preset time before the occurrence of the cough event and the non-cough event; Processing the target data set by using a Fisher exact test method to obtain a P value representing the relevance of the cough event and the gastroesophageal reflux event, wherein the calculation formula of the P value is as follows: Wherein a is the first occurrence number, b is the second occurrence number, c is the third occurrence number, d is the fourth occurrence number, and n is the sum of the four occurrence numbers; for determining an index of correlation between the cough and the gastroesophageal reflux based on the P-value; Judging whether the association index meets a preset condition or not; and detecting that the target patient suffers from reflux cough when the association index meets a preset condition.
4. An electronic device, comprising: A memory for storing a computer program; a processor for executing the computer program to perform the steps of the reflux cough detection method as claimed in claim 3.
5. A computer readable storage medium for storing a computer program, wherein the computer program when executed by a processor carries out the steps of the reflux cough detection method according to claim 3.

Description

Reflux cough detection device, method, equipment and storage medium Technical Field The present invention relates to the field of computer technologies, and in particular, to a device, a method, an apparatus, and a storage medium for detecting reflux cough. Background Currently GERC (GastroEsophageal Reflux Cough ) is a respiratory noun published in 2018, defined as the clinical manifestation of cough as a prominent symptom due to reflux of gastric acid and other gastric contents into the esophagus, and is a common cause of chronic cough. Gastroesophageal reflux cough, about half of which turns into chronic cough alone clinically, without typical gastroesophageal reflux symptoms, is nonspecific compared with chronic cough caused by other reasons, and has certain difficulty in diagnosis and treatment. In the actual diagnosis and treatment process, most of diagnostic treatment is performed, that is, when a doctor cannot completely determine what disease is, the doctor performs treatment according to previous experience to help the doctor prove the judgment of the disease, the diagnostic treatment should last for 1 to 3 months, and some patients can relieve cough even if the cough is caused for 2 to 3 months. The traditional diagnosis mode of gastroesophageal reflux cough is to determine whether the patient is gastroesophageal reflux cough by adopting a simple 24-hour esophagus pH value examination result, combining the cough condition manually recorded by the patient to carry out analysis and judgment by a doctor, and looking at whether the cough is relieved after long-term diagnostic treatment. However, to achieve the accuracy of the assessment, firstly, accurate and timely cough recording is ensured, however, the cough is recorded by the patient independently, the problems of inconsistent recording time, neglect and the like exist, and finally, the result analysis is unreliable. Disclosure of Invention Accordingly, the present invention is directed to a device, a method, a device and a storage medium for detecting reflux cough, which can accurately record cough events, and improve the accuracy of detecting reflux cough, so as to solve the clinical diagnosis problem of detecting reflux cough. The specific scheme is as follows: in a first aspect, the present application discloses a reflux cough detection device, comprising: The system comprises a data acquisition module, a data acquisition catheter, a data acquisition module and a data processing module, wherein the data acquisition module is used for acquiring first data for determining whether a target patient cough and second data for determining whether the target patient has gastroesophageal reflux or not by utilizing a data acquisition catheter; the data recording module is used for recording the first data and the second data through a preset data recorder, and the preset data recorder establishes a data transmission link with the data acquisition catheter through a catheter connector of the data acquisition catheter; the data analysis module is used for analyzing the first data and the second data recorded by the preset data recorder through preset data analysis software to generate corresponding association indexes; the condition judging module is used for judging whether the association index meets a preset condition; and the detection module is used for detecting that the target patient suffers from reflux cough when the association index meets a preset condition. Optionally, the data acquisition module includes: And the data acquisition unit is used for acquiring sound wave data and pressure data for determining whether a target patient coughs or not and acquiring pH data for determining whether the target patient suffers from gastroesophageal reflux or not by utilizing a data acquisition catheter integrating the sound sensor, the pressure sensor and the pH sensor. Optionally, the data recording module includes: And the data recording unit is used for recording the sound wave data, the pressure data and the pH data according to a preset data format through a preset data recorder. Optionally, the data analysis module includes: The waveform generation sub-module is used for analyzing the sound wave data, the pressure data and the pH data recorded by the preset data recorder through preset data analysis software so as to generate corresponding sound wave waveforms, pressure waveforms and pH waveforms; A dataset construction sub-module for constructing a target dataset for calculating a correlation of a cough event and a gastroesophageal reflux event based on the acoustic waveform, the pressure waveform, and the pH waveform; an index determination sub-module for determining an index of association between the cough event and the gastroesophageal reflux event based on the target data set and a preset probability check. Optionally, the data set construction submodule includes: A first judging unit configured to judge whether a gastroesophageal reflux ev