CN112345635A - Stomach illness diagnostic system based on exhaled gas volatile organic compound analysis - Google Patents

Stomach illness diagnostic system based on exhaled gas volatile organic compound analysis Download PDF

Info

Publication number
CN112345635A
CN112345635A CN202011172645.5A CN202011172645A CN112345635A CN 112345635 A CN112345635 A CN 112345635A CN 202011172645 A CN202011172645 A CN 202011172645A CN 112345635 A CN112345635 A CN 112345635A
Authority
CN
China
Prior art keywords
data
module
gas
subsystem
patient
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202011172645.5A
Other languages
Chinese (zh)
Inventor
张溥明
谢宇海
陈星�
刘清君
刘军
杨淑窈
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Jiaotong University
Original Assignee
Shanghai Jiaotong University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Jiaotong University filed Critical Shanghai Jiaotong University
Priority to CN202011172645.5A priority Critical patent/CN112345635A/en
Publication of CN112345635A publication Critical patent/CN112345635A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/02Analysing fluids
    • G01N29/022Fluid sensors based on microsensors, e.g. quartz crystal-microbalance [QCM], surface acoustic wave [SAW] devices, tuning forks, cantilevers, flexural plate wave [FPW] devices
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B10/00Other methods or instruments for diagnosis, e.g. instruments for taking a cell sample, for biopsy, for vaccination diagnosis; Sex determination; Ovulation-period determination; Throat striking implements
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B10/00Other methods or instruments for diagnosis, e.g. instruments for taking a cell sample, for biopsy, for vaccination diagnosis; Sex determination; Ovulation-period determination; Throat striking implements
    • A61B2010/0083Other methods or instruments for diagnosis, e.g. instruments for taking a cell sample, for biopsy, for vaccination diagnosis; Sex determination; Ovulation-period determination; Throat striking implements for taking gas samples
    • A61B2010/0087Breath samples

Abstract

The invention discloses a gastropathy based on exhaled gas volatile organic compound analysis, and relates to the technical field of traditional Chinese medical instruments, and the gastropathy based on exhaled gas volatile organic compound analysis comprises a data acquisition subsystem, a data analysis subsystem and a database management subsystem; the data acquisition subsystem is used for enriching the exhaled gas of the patient, extracting gas components and transmitting data, the data analysis subsystem diagnoses the data transmitted by the data acquisition subsystem to obtain a traditional Chinese medicine diagnosis report, the traditional Chinese medicine diagnosis report is directly displayed in the system, and the data and the traditional Chinese medicine diagnosis report are transmitted to the database management subsystem to be stored and subsequently taken. Through the implementation of the invention, the exhaled volatile organic compound data acquisition and the traditional Chinese medicine diagnosis can be completely carried out, and the diagnosis system can carry out self-updating.

Description

Stomach illness diagnostic system based on exhaled gas volatile organic compound analysis
Technical Field
The invention relates to the field of traditional Chinese medical instruments, in particular to a stomach disease diagnosis system based on exhaled gas volatile organic compound analysis.
Background
Gastropathy is a common and frequently encountered disease, and is often accompanied by upper abdominal discomfort or pain, nausea, vomiting, diarrhea, inappetence and other symptoms. Western medicine generally classifies gastropathy into gastrointestinal dysfunction, gastritis, gastric ulcer and the like from mild to severe by diagnosing the etiology, so that description of symptoms is very coincident, and when patients have vomit symptoms, various Western medicine gastropathy classifications have the symptoms, and therefore, the diagnosis result is difficult to obtain by a non-invasive means such as symptom description. The traditional Chinese medicine diagnosis gastropathy is greatly different from the western medicine, the traditional Chinese medicine divides stomach discomfort into a plurality of types according to yin and yang, exterior and interior, cold and heat, deficiency and excess and the like, and describes various diseases more carefully, for example, the syndrome of dampness obstructing the spleen and stomach and the syndrome of phlegm-dampness obstructing the middle energizer all show symptoms of vomiting, but the patient of dampness obstructing the spleen and stomach often shows no thirst, and the patient of phlegm-dampness obstructing the middle-jiao often shows dizziness, so that the patient who is also the vomiting symptom can be distinguished through the traditional Chinese medicine diagnosis, and different treatment modes are provided. Another problem of patients with stomach diseases is the pain and bitterness of diagnosis, a gastroscope is usually used as a conventional examination means for stomach diseases, and the painless gastroscope usually needs general anesthesia on the patients and has certain risks; in the conventional gastroscope, the gastroscope is directly inserted into the stomach, and a large amount of discomfort is necessarily brought to a patient by passing through the pharynx and the esophagus. Therefore, there is a clinical need for a noninvasive and painless means for diagnosing gastric diseases. In recent years, the diagnosis of exhaled breath is paid much attention as a new diagnosis method for diseases, which is different from the traditional diagnosis technology, has the characteristics of no wound, no pain, high safety, rapid feedback and the like, greatly reduces the pain of patients, and can greatly shorten the diagnosis time.
Therefore, those skilled in the art are dedicated to develop a diagnosis system for stomach diseases based on exhaled volatile organic compound analysis, so as to realize comprehensive integrated diagnosis of exhaled volatile organic compound collection and diagnosis system.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, the technical problems to be solved by the present invention are: how to realize the data acquisition of volatile organic compounds in exhaled air and the diagnosis of the stomach illness in traditional Chinese medicine.
In order to achieve the above object, the present invention provides a system for diagnosing stomach illness based on analysis of volatile organic compounds in exhaled air, comprising: the system comprises a data acquisition subsystem, a data analysis subsystem and a database management subsystem. The data acquisition subsystem is used for enriching the exhaled gas of the patient, extracting gas components and transmitting data, the data analysis subsystem diagnoses the data transmitted by the data acquisition subsystem to obtain a traditional Chinese medicine diagnosis report, the traditional Chinese medicine diagnosis report is directly displayed in the system, and the data and the traditional Chinese medicine diagnosis report are transmitted to the database management subsystem to be stored and subsequently taken.
Further, the data acquisition subsystem comprises a gas enrichment module, a gas component extraction module and a data transmission module; the gas enrichment module enriches exhaled gas input into the system by the patient; the gas component extraction module is used for carrying out component separation and concentration data extraction on the enriched gas; and the data transmission module is used for temporarily storing and transmitting the data of the gas component extraction module.
Further, the gas enrichment module employs a staged enrichment mode.
Further, the gas component extraction module adopts a directly heated capillary column to perform chromatographic separation on the enriched gas, and the gas component extraction module adopts a high-sensitivity surface wave sensor to extract concentration data to obtain a sensor response curve.
Further, the data transmission module transmits data in a wired or wireless mode.
Further, the data analysis subsystem comprises a data preprocessing module, a model classification matching module and a data storage and transmission module; the data preprocessing module utilizes an algorithm to perform noise reduction, alignment and zero padding on data; the model classification matching module runs a program according to a pre-established model to obtain a classification result and generate a traditional Chinese medicine diagnosis result report of the stomach illness; and the data storage and transmission module is used for storing and transmitting the data processed by the data preprocessing module and the diagnosis result of the model classification matching module.
Further, the model classification matching module completes classification mainly by analyzing the composition of the gas, the concentration of each composition and retention time data information.
Further, the database management subsystem comprises a patient information storage and updating module, a patient data storage and updating module and a periodic self-updating module; the patient information storage and update module stores personal information of the patient, including name, sex, age and past medical history; the patient data storage and updating module is used for storing and updating the data processed by the data preprocessing module and the diagnosis result of the model classification matching module; the periodic self-updating module periodically updates the system.
Further, the periodic self-updating module imports the data in the patient data storage and updating module into the data analysis subsystem, and updates the model in the model classification matching module.
Furthermore, the hospital computer system also comprises a communication module which is connected with the hospital computer.
Compared with the prior art, the gastropathy diagnosis system based on exhaled gas volatile organic compound analysis provided by the invention has the obvious advantages and beneficial effects that:
1. the invention overcomes the defects of ambiguity of stomach disease diagnosis in western medicine and strong pain of the traditional gastroscope, and realizes the diagnosis of the stomach disease in traditional Chinese medicine without wound and pain.
2. The gas enrichment module adopts a grading enrichment mode, effectively shortens the enrichment time and improves the capacity and efficiency of enriching gas.
3. The gas component extraction module adopts a structure that the directly-heated capillary column is connected with the surface wave sensor in series, overcomes the problem that the traditional exhaled gas detection can only detect a single characteristic component, can detect multiple components and obtain the concentration information of each component, and greatly improves the diagnosis capability and precision of the exhaled gas diagnosis of the stomach illness.
4. The invention integrates the collection of the expired gas and the Chinese medical diagnosis into a whole, which greatly exceeds the prior single collection system or single diagnosis system, and the combination of the two greatly reduces the error of result transmission and greatly reduces the cost.
5. The invention establishes a database for each patient, stores personal information, diagnosis reports, electronic medical records and the like, is convenient for personal information management, has the function of self-updating of the database and a diagnosis system, and can continuously improve the diagnosis precision of the system in the using process of the system.
The conception, the specific structure and the technical effects of the present invention will be further described with reference to the accompanying drawings to fully understand the objects, the features and the effects of the present invention.
Drawings
FIG. 1 is a schematic view of a gastric disease diagnostic system of the present invention;
FIG. 2 is a schematic flow chart of patient diagnosis according to the present invention;
FIG. 3 is a flow chart of the operation of the data analysis subsystem and the database management subsystem of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings for clarity and understanding of technical contents. The present invention may be embodied in many different forms of embodiments and the scope of the invention is not limited to the embodiments set forth herein.
As shown in fig. 1 to 3, the system constructed in the present embodiment includes: the system comprises a data acquisition subsystem, a data analysis subsystem and a database management subsystem.
The data acquisition subsystem completes enrichment of expired gas of a patient, extraction of gas components and data transmission and comprises the following parts:
the gas enrichment module is used for enriching the exhaled gas input into the system by the patient, adopts a grading enrichment mode, improves the sample injection concentration by utilizing first-grade enrichment, effectively shortens the enrichment time of second-grade adsorption, reduces the adsorbent amount and the heating time of the second-grade adsorption, and improves the working efficiency of the whole gas enrichment module.
And the gas component extraction module is used for separating different components of the enriched gas and extracting concentration data of the different components. And (3) carrying out chromatography on the enriched gas by adopting a directly-heated capillary column to separate different components of the gas, and connecting a high-sensitivity surface wave sensor in series on the basis to extract concentration data of different gases to obtain a response curve of the sensor along with time.
And the data transmission module is used for temporarily storing and transmitting the data obtained by the component extraction module. The temporary storage of gas composition data and the transmission in a wired or wireless mode are realized by a chip integrated in the data acquisition subsystem.
The data analysis subsystem diagnoses the data transmitted by the data acquisition subsystem to obtain a report of the traditional Chinese medicine diagnosis of the patient, the report is directly displayed in the system, and the data and the diagnosis result are transmitted to the database management subsystem for storage and subsequent use, and the system comprises the following parts:
and the data preprocessing module is used for carrying out preprocessing processes such as noise reduction, alignment, zero filling and the like on the data by utilizing an algorithm so as to prepare for the next processing.
And the model classification matching module runs related programs to obtain classification results according to a pre-established model after the preprocessed data are obtained, completes classification mainly by analyzing data information such as gas composition, concentration of each composition, retention time and the like, and finally generates a traditional Chinese medicine diagnosis result report of the stomach diseases.
And the data storage and transmission module is used for storing the preprocessed data and the diagnosis result obtained by the model classification matching module and transmitting the diagnosis result in a wired or wireless mode.
The database management subsystem is responsible for maintaining and updating the patient data and comprises the following parts:
the patient information storage and updating module is used for storing personal information of a patient who collects exhaled air, wherein the personal information comprises name, sex, age, past medical history and the like, and the stored information can be updated through the module.
And the patient data storage and updating module is used for storing the preprocessed data and the diagnosis result obtained in the data analysis subsystem and updating the stored data and the diagnosis result through the module.
And the periodic self-updating module is used for periodically updating the system, wherein the updating comprises the steps of importing the data in the patient data storage and updating module into the data analysis subsystem, improving the model used in the model classification matching module by using the updated data, updating the database component of the self-updating module and the like.
In addition, the system can be additionally provided with a communication module to connect the system with a computer of a digestive doctor in a hospital, so that convenient interaction of diagnosis information is realized.
The specific working flow of this embodiment is as follows:
firstly, when the data acquisition subsystem calls in gas, the database management subsystem calls a patient information storage and updating module to finish the storage of patient information, wherein the patient information comprises name, age, sex, past medical history and the like, and the system gives a digital ID to a patient when storing the patient information. And then, the gas exhaled by the patient enters a first-stage enrichment pipe, is subjected to first-stage enrichment and then enters a second-stage enrichment pipe for second-stage enrichment, so that the enrichment time can be greatly shortened by the aid of the grading enrichment method, and the enrichment efficiency and the enrichment capacity are greatly improved. Further, the enriched gas enters a directly heated capillary column for chromatography according to different gas boiling points, so that different gas components are separated. The separated gas enters the surface acoustic wave sensor, and the content of the gas with different components in the exhaled gas can be obtained through a sensor response curve. The two-step chromatography realizes separation, and the surface acoustic wave sensor realizes detection, so that exhaled gas detection can detect a plurality of gas mixtures instead of single-component gas. And then, storing the response curve data of the surface acoustic wave sensor into a matched chip, converting the response curve data into discrete data with a certain sampling rate, temporarily storing the discrete data in the chip, and simultaneously transmitting the discrete data to a data analysis subsystem in a wired or wireless mode. After the data analysis subsystem receives the data transmitted by the acquisition subsystem, the data is subjected to data preprocessing processes such as noise reduction, zero padding and alignment, so that the consistency between the data is strongest, and the subsequent model matching is facilitated. After receiving the data of the data preprocessing module, the model classification matching module compares the data with the existing built model to obtain the result of the traditional Chinese medicine diagnosis of the patient, transmits the diagnosis result and the preprocessed data to the database management subsystem, and stores the information input by the database corresponding to the patient into the corresponding preprocessed data and the diagnosis result. After the patient information and the patient exhalation gas data are led into the database management subsystem, the database management subsystem calls the information storage and updating module and the data storage and updating module to back up or update the information and the data. The database management subsystem can regularly guide the data stored in the data storage and updating module into the model classification matching module to search a more accurate and comprehensive model to explain different gas components and concentrations. The system and components of the database management subsystem itself are also automatically upgraded.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.

Claims (10)

1. A gastropathy diagnostic system based on exhaled breath volatile organic compound analysis is characterized by comprising: the system comprises a data acquisition subsystem, a data analysis subsystem and a database management subsystem; the data acquisition subsystem is used for enriching the exhaled gas of the patient, extracting gas components and transmitting data, the data analysis subsystem diagnoses the data transmitted by the data acquisition subsystem to obtain a traditional Chinese medicine diagnosis report, the traditional Chinese medicine diagnosis report is directly displayed in the system, and the data and the traditional Chinese medicine diagnosis report are transmitted to the database management subsystem to be stored and subsequently taken.
2. The diagnostic system of claim 1, wherein the data acquisition subsystem comprises a gas enrichment module, a gas composition extraction module, a data transfer module; the gas enrichment module enriches exhaled gas input into the system by the patient; the gas component extraction module is used for carrying out component separation and concentration data extraction on the enriched gas; and the data transmission module is used for temporarily storing and transmitting the data of the gas component extraction module.
3. The diagnostic system of claim 2, wherein the gas enrichment module employs a staged enrichment mode.
4. The diagnostic system of claim 2, wherein the gas component extraction module chromatographically separates the enriched gas using a direct thermal capillary column and the gas component extraction module extracts concentration data using a high sensitivity surface wave sensor to obtain a sensor response curve.
5. The diagnostic system of claim 2, wherein the data transfer module transfers in a wired or wireless manner.
6. The diagnostic system of claim 1, wherein the data analysis subsystem comprises a data preprocessing module, a model classification matching module, a data storage and transfer module; the data preprocessing module utilizes an algorithm to perform noise reduction, alignment and zero padding on data; the model classification matching module runs a program according to a pre-established model to obtain a classification result and generate a traditional Chinese medicine diagnosis result report of the stomach illness; and the data storage and transmission module is used for storing and transmitting the data processed by the data preprocessing module and the diagnosis result of the model classification matching module.
7. The diagnostic system of claim 6, wherein the model classification matching module completes the classification primarily by analyzing gas composition, concentration of each composition, and retention time data information.
8. The diagnostic system of claim 6, wherein the database management subsystem comprises a patient information storage and update module, a patient data storage and update module, a periodic self-update module; the patient information storage and update module stores personal information of the patient, including name, sex, age and past medical history; the patient data storage and updating module is used for storing and updating the data processed by the data preprocessing module and the diagnosis result of the model classification matching module; the periodic self-updating module periodically updates the system.
9. The diagnostic system of claim 8, wherein the periodic self-update module imports the data in the patient data storage and update module into the data analysis subsystem, updating the model in the model classification matching module.
10. The diagnostic system of claim 1, further comprising a communication module, wherein the communication module is connected to a hospital computer.
CN202011172645.5A 2020-10-28 2020-10-28 Stomach illness diagnostic system based on exhaled gas volatile organic compound analysis Pending CN112345635A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011172645.5A CN112345635A (en) 2020-10-28 2020-10-28 Stomach illness diagnostic system based on exhaled gas volatile organic compound analysis

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011172645.5A CN112345635A (en) 2020-10-28 2020-10-28 Stomach illness diagnostic system based on exhaled gas volatile organic compound analysis

Publications (1)

Publication Number Publication Date
CN112345635A true CN112345635A (en) 2021-02-09

Family

ID=74359258

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011172645.5A Pending CN112345635A (en) 2020-10-28 2020-10-28 Stomach illness diagnostic system based on exhaled gas volatile organic compound analysis

Country Status (1)

Country Link
CN (1) CN112345635A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113433582A (en) * 2021-05-13 2021-09-24 上海交通大学 X-ray bulb tube beam diagnosis method
CN113633317A (en) * 2021-08-12 2021-11-12 生态环境部华南环境科学研究所 Exhaled air biomarker capable of identifying human health state

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0509328A2 (en) * 1991-04-04 1992-10-21 Hitachi, Ltd. Method of detecting minute gas component in ambience and applied devices
CN1180997A (en) * 1995-04-11 1998-05-06 内斯托尔体系Ab Device for detecting components in exhaled air
US6067989A (en) * 1997-02-26 2000-05-30 Oridion Medical, Ltd. Breath test for the diagnosis of Helicobacter pylori infection in the gastrointestinal tract
CN1647756A (en) * 2005-01-26 2005-08-03 浙江大学 Respiration detecting method and its device for diagnosing early lung cancer
CN101093217A (en) * 2007-07-03 2007-12-26 浙江大学 Electronic nose of using sensor of acoustic surface wave and partitioning column of gas chromatography jointly, and detection method
CN102419272A (en) * 2011-08-17 2012-04-18 上海烟草集团有限责任公司 Particle size grading acquisition method of cigarette mainstream smoke aerosol
CN102495146A (en) * 2011-11-16 2012-06-13 上海交通大学 Compound fingerprint atlas model used in early-stage gastric cancer diagnosis/early warning, and establishing method thereof
CN103163217A (en) * 2013-03-07 2013-06-19 浙江工商大学 Sound surface wave resonator series detection and detection method
WO2014047388A1 (en) * 2012-09-21 2014-03-27 Ethicon Endo-Surgery, Inc. Systems and methods for predicting metabolic and bariatric surgery outcomes
CN107041751A (en) * 2017-04-01 2017-08-15 浙江大学 A kind of surface acoustic wave sensor of breathing state detecting system and wireless and passive
US20180172647A1 (en) * 2016-12-15 2018-06-21 David R. Hall Staged Preconcentration and Parallel Column Gas Chromatography
CN109360647A (en) * 2018-09-10 2019-02-19 康然 A kind of Chinese medicine diagnosis and therapy system based on artificial intelligence
CN109991042A (en) * 2019-04-18 2019-07-09 国珍健康科技(北京)有限公司 A kind of volatile organic matter multistage enriching apparatus and method
KR20200030702A (en) * 2018-09-12 2020-03-23 (주)센서테크 Method of grid pattern-based disease screening using multi-capillary column-ion mobility spectrometry

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0509328A2 (en) * 1991-04-04 1992-10-21 Hitachi, Ltd. Method of detecting minute gas component in ambience and applied devices
CN1180997A (en) * 1995-04-11 1998-05-06 内斯托尔体系Ab Device for detecting components in exhaled air
US6067989A (en) * 1997-02-26 2000-05-30 Oridion Medical, Ltd. Breath test for the diagnosis of Helicobacter pylori infection in the gastrointestinal tract
CN1647756A (en) * 2005-01-26 2005-08-03 浙江大学 Respiration detecting method and its device for diagnosing early lung cancer
CN101093217A (en) * 2007-07-03 2007-12-26 浙江大学 Electronic nose of using sensor of acoustic surface wave and partitioning column of gas chromatography jointly, and detection method
CN102419272A (en) * 2011-08-17 2012-04-18 上海烟草集团有限责任公司 Particle size grading acquisition method of cigarette mainstream smoke aerosol
CN102495146A (en) * 2011-11-16 2012-06-13 上海交通大学 Compound fingerprint atlas model used in early-stage gastric cancer diagnosis/early warning, and establishing method thereof
WO2014047388A1 (en) * 2012-09-21 2014-03-27 Ethicon Endo-Surgery, Inc. Systems and methods for predicting metabolic and bariatric surgery outcomes
CN103163217A (en) * 2013-03-07 2013-06-19 浙江工商大学 Sound surface wave resonator series detection and detection method
US20180172647A1 (en) * 2016-12-15 2018-06-21 David R. Hall Staged Preconcentration and Parallel Column Gas Chromatography
CN107041751A (en) * 2017-04-01 2017-08-15 浙江大学 A kind of surface acoustic wave sensor of breathing state detecting system and wireless and passive
CN109360647A (en) * 2018-09-10 2019-02-19 康然 A kind of Chinese medicine diagnosis and therapy system based on artificial intelligence
KR20200030702A (en) * 2018-09-12 2020-03-23 (주)센서테크 Method of grid pattern-based disease screening using multi-capillary column-ion mobility spectrometry
CN109991042A (en) * 2019-04-18 2019-07-09 国珍健康科技(北京)有限公司 A kind of volatile organic matter multistage enriching apparatus and method

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
HAITHAM AMAL ET AL.: "Detection of precancerous gastric lesions and gastric cancer through exhaled breath", 《GUT》 *
MATTHEW BANKS ET AL.: "英国胃肠病学会关于胃癌风险患者的诊断和管理指南", 《中华胃肠内镜电子杂志》 *
肖作兵等: "《香精制备技术》", 31 January 2019, 中国轻工业出版社 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113433582A (en) * 2021-05-13 2021-09-24 上海交通大学 X-ray bulb tube beam diagnosis method
CN113633317A (en) * 2021-08-12 2021-11-12 生态环境部华南环境科学研究所 Exhaled air biomarker capable of identifying human health state

Similar Documents

Publication Publication Date Title
AU2016231652B2 (en) Breath testing apparatus
CN112345635A (en) Stomach illness diagnostic system based on exhaled gas volatile organic compound analysis
DE69838812T2 (en) BEST TEST ANALYSIS DEVICE
WO2021127027A1 (en) Breath gas analysis
CN113476034A (en) Lung function diagnosis system
CN111653342A (en) Novel traditional Chinese medicine artificial intelligence clinical auxiliary diagnosis and treatment system for coronavirus pneumonia
CN108956966A (en) A kind of handheld portable auscultation and olfaction instrument and auscultation and olfaction method
CN103263265A (en) Cardiopulmonary exercise testing device
Ruzsanyi et al. Origin and Emission of Volatile Biomarkers in Breath: End-tidal Perspective
Akbarzadeh et al. Predicting feeding conditions of premature infants through non-nutritive sucking skills using a sensitized pacifier
CN110428893A (en) A kind of tele-medicine vital sign data acquisition device
Norton et al. Blood lead of intravenous drug users
Concaro et al. Mining administrative and clinical diabetes data with temporal association rules
CN111798979A (en) Cardiovascular and cerebrovascular disease risk early warning method
KR20190088662A (en) Standard Sample and Method for Analysis of Exhaled Breath Gas
CN108337284A (en) A kind of health monitoring systems and method
Gao et al. Breathprinting based diagnosis, selected case study: GCMS and E-nose collaborative approach
CN205597897U (en) Appearance of feeling pulse
CN117059231B (en) Method for machine learning of traditional Chinese medicine cases and intelligent diagnosis and treatment system
Rincón-Quintero et al. Development of a monitoring system for COVID-19 monitoring in early stages
CN117542530B (en) Health monitoring data monitoring method and monitoring system for postpartum patients
Yu et al. Smart Electronic Nose for the Detection of Exhaled Breath to Diagnose Small Intestinal Bacterial Overgrowth
CN201946000U (en) Multifunctional integrated diagnosis equipment
CN116026910A (en) Novel method for detecting helicobacter pylori
AU2020434216A1 (en) Breath testing apparatus

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20210209

RJ01 Rejection of invention patent application after publication