Expiration detection and health diagnosis system and method based on gas sensor

Abstract

The invention relates to an expiration detection and health diagnosis system and method based on a gas sensor, and the system comprises an air pump which is used for collecting a gas sample of a target user, adjusting the gas flow rate and flow direction of the gas sample, enabling the gas sample to meet a preset gas transmission requirement, and directionally transmitting the gas sample through the gas flow rate and flow direction; the gas sensor is used for detecting whether target gas exists in the gas sample and generating a corresponding analog signal under the condition that the target gas exists in the gas sample; and the data processing module is used for converting the analog signal into a digital signal, performing data processing and environment compensation on the digital signal to obtain an expiration detection result, generating health diagnosis information according to the expiration detection result, and displaying the expiration detection result and the health diagnosis information in terminal equipment in real time. Therefore, the problems that in the prior art, portability is poor, airflow control is inaccurate, sensitivity is low, data processing lags behind, and the environmental interference influence is large are solved.

Description

Technical Field

[0001] The present application relates to the technical field of gas sensors, and in particular to a gas sensor-based breath detection and health diagnosis system and method. Background Art

[0002] Gas sensors play a vital role in breath detection and health diagnosis systems. In recent years, gas sensor technology has made significant progress and can accurately detect trace gas components in exhaled breath. These sensors have shown unique advantages in the early screening of various chronic diseases, such as metabolic diseases (such as diabetic ketoacidosis), respiratory diseases (such as asthma and chronic obstructive pulmonary disease), tumors (such as lung cancer and breast cancer), and digestive system diseases (Helicobacter pylori infection, liver disease). However, traditional breath detection and health diagnosis systems still face many technical challenges, such as poor portability, unstable airflow control, insufficient detection sensitivity, and slow data processing speed, which limits their widespread application.

[0003] In the field of breath detection, the existing detection technologies based on gas sensors are as follows:

[0004] 1. Existing portable breath detection equipment:

[0005] Current portable breathalyzers are commonly used for alcohol testing and respiratory disease screening. The devices detect target gases through integrated gas sensor modules (such as metal oxide semiconductor sensors or electrochemical sensors). However, most of these devices are large in size. Although they are portable, they are deficient in multi-gas detection and precise control of airflow. In addition, their sensitivity and selectivity are relatively low, making it difficult to meet the needs of trace gas detection in certain specific diseases (such as metabolic diseases and tumors).

[0006] 2. Multi-parameter detection system based on gas sensor array:

[0007] Existing breath detection and health diagnosis systems using gas sensor arrays can detect multiple target gases by integrating multiple gas sensors. The system uses different types of sensors to selectively respond to specific gases, thereby achieving multi-parameter detection; however, gas sensor array systems usually have the disadvantages of large size, high power consumption, and high cost, making them difficult to be widely used in portable devices; the complexity of the airflow control system increases the design and maintenance costs of the equipment, and at the same time, the system integration is not high, making it difficult to meet consumers' convenience needs for use at home.

[0008] 3. Commercial breath detection and health diagnosis system:

[0009] Commercial breath detection and health diagnosis systems are mostly used in laboratory environments to perform highly sensitive quantitative analysis of a specific gas. Taking breath analysis of diabetic ketoacidosis as an example, some equipment evaluates the metabolic status of patients with urinary ketoacidosis by monitoring the acetone content in their breath. In addition, the detection of exhaled nitric oxide (FeNO) is widely used in the diagnosis and management of asthma in clinical practice. However, commercial systems usually rely on laboratory equipment, have complex structures and are expensive, making them difficult to promote on a large scale to home medical care and daily monitoring. Their operation requires the participation of professionals and is not suitable for ordinary users to use on their own. They are also less real-time and convenient.

[0010] However, existing gas sensor-based detection technologies have the following disadvantages:

[0011] 1. Lack of portability:

[0012] Most existing breath detection equipment is laboratory equipment or commercial equipment with low integration. The equipment is often large in size, heavy in weight, inconvenient to carry, and complicated to operate. It is difficult to achieve portable application in non-clinical scenarios or home use. It often requires professional operation and has high requirements for the use environment.

[0013] 2. Imprecise airflow control, risk of gas contamination:

[0014] In existing breath testing equipment, airflow control is not precise enough, and there is a risk of contamination and cross-contamination during gas transmission, which results in the detection gas not being fully transmitted to the sensor, affecting the detection accuracy; in addition, the collected breath samples are easily contaminated by the outside world, increasing errors.

[0015] 3. The detection sensitivity is not high, and low-concentration gas detection is difficult:

[0016] Most existing devices are based on traditional gas sensors, which have limited sensitivity, especially when detecting low-concentration gases. Such devices often have difficulty accurately detecting trace gases associated with certain diseases, resulting in poor results in early screening of diseases.

[0017] 4. Slow data processing and poor real-time feedback capabilities

[0018] Existing breath detection and health diagnosis systems usually have problems with slow data processing and delayed feedback. Especially in complex multi-gas detection scenarios, it is difficult to achieve rapid diagnosis, making it difficult for the system to meet the real-time monitoring and feedback needs of the disease.

[0019] In summary, the existing gas sensor detection equipment has poor portability, imprecise airflow control, low contact efficiency between the sensor and the sample gas, and insufficient sensitivity. In addition, the existing technology has complex data processing, low system integration, time-consuming detection process, and complex operation, which urgently need to be solved. Summary of the invention

[0020] The present application provides a gas sensor-based exhalation detection and health diagnosis system and method to solve the problems of poor portability, inaccurate airflow control, low sensitivity, data processing lag, and significant environmental interference in the prior art.

[0021] The first aspect of the present application provides a gas sensor-based breath detection and health diagnosis system, including: an air pump, used to collect a gas sample of a target user, and adjust the airflow rate and flow direction of the gas sample so that the gas sample meets the preset gas transmission requirements, and the gas sample is directionally transmitted through the airflow rate and the flow direction; a gas sensor, used to detect whether there is a target gas in the gas sample, and when the target gas exists in the gas sample, generate an analog signal corresponding to the target gas; a data processing module, used to convert the analog signal into a digital signal, and perform data processing and environmental compensation operations on the digital signal to obtain a breath detection result corresponding to the target user, and obtain the health diagnosis information of the target user based on the breath detection result, and display the breath detection result and the health diagnosis information in real time on a preset terminal device.

[0022] Optionally, in one embodiment of the present application, it also includes: a detection shell, the shell structure of the detection shell is determined by the application scenario of the exhalation detection and health diagnosis system, and the air pump, the gas sensor and the data processing module are integrated.

[0023] Optionally, in one embodiment of the present application, the air pump includes: a solenoid valve for obtaining the working state and detection requirements of the gas sensor, and adjusting the airflow rate and the flow direction of the gas sample according to the working state and the detection requirements, so that the gas sample is output to the gas sensor at the airflow rate and the flow direction.

[0024] Optionally, in one embodiment of the present application, the data processing module includes: a temperature and humidity sensor, used to obtain the temperature and humidity information of the environment in which the target user is located; a data microprocessor, used to perform data filtering and calibration processing on the digital signal to obtain a data processing result corresponding to the digital signal, and perform an environmental compensation operation on the data processing result through the temperature and humidity information to generate the breath detection result and the health diagnosis information; a storage unit, used to store the breath detection result and the health diagnosis information.

[0025] The second aspect embodiment of the present application provides a breath detection and health diagnosis method based on a gas sensor, comprising the following steps: collecting a gas sample of a target user, and adjusting the airflow rate and flow direction of the gas sample so that the gas sample meets the preset gas transmission requirements, and directionally transmitting the gas sample through the airflow rate and the flow direction; detecting whether there is a target gas in the gas sample, and generating an analog signal corresponding to the target gas when the target gas exists in the gas sample; converting the analog signal into a digital signal, and performing data processing and environmental compensation operations on the digital signal to obtain a breath detection result corresponding to the target user, and obtaining the health diagnosis information of the target user based on the breath detection result, and displaying the breath detection result and the health diagnosis information in real time on a preset terminal device.

[0026] Optionally, in one embodiment of the present application, collecting the gas sample of the target user and determining the airflow rate and the flow direction of the gas sample include: obtaining the working state and detection requirements of the gas sensor; adjusting the opening and closing state of a preset solenoid valve according to the working state and the detection requirements, and determining the airflow rate and the flow direction of the gas sample according to the opening and closing state.

[0027] Optionally, in one embodiment of the present application, the data processing and environmental compensation operations are performed on the digital signal to obtain the breath detection result corresponding to the target user, including: obtaining the temperature and humidity information of the environment in which the target user is located; performing data filtering and calibration processing on the digital signal to obtain the data processing result corresponding to the digital signal, and performing environmental compensation operations on the data processing result through the temperature and humidity information to generate the breath detection result and the health diagnosis information.

[0028] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the gas sensor-based exhalation detection and health diagnosis method as described in the above embodiment.

[0029] The fourth aspect embodiment of the present application provides a computer-readable storage medium, which stores a computer program, and when the program is executed by a processor, it implements the above-mentioned gas sensor-based exhalation detection and health diagnosis method.

[0030] The fifth aspect embodiment of the present application provides a computer program product, including a computer program, which is executed to implement the above-mentioned gas sensor-based exhalation detection and health diagnosis method.

[0031] Therefore, the embodiments of the present application have the following beneficial effects:

[0032] The embodiment of the present application includes an air pump for collecting gas samples of the target user, and adjusting the airflow rate and flow direction of the gas sample so that the gas sample meets the preset gas transmission requirements, and the gas sample is transmitted directionally through the airflow rate and flow direction; a gas sensor for detecting whether the target gas exists in the gas sample, and generating an analog signal corresponding to the target gas when the target gas exists in the gas sample; a data processing module for converting the analog signal into a digital signal, and performing data processing and environmental compensation operations on the digital signal to obtain the breath detection result corresponding to the target user, and obtain the health diagnosis information of the target user according to the breath detection result, and display the breath detection result and health diagnosis information in real time in the preset terminal device. The present application can effectively improve the portability, detection accuracy and real-time data feedback efficiency of the breath detection and health diagnosis system, thereby providing users with more efficient and accurate non-invasive breath detection services. As a result, the problems of poor portability, imprecise airflow control, low sensitivity, delayed data processing and large environmental interference in the prior art are solved.

[0033] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0035] Figure 1 is an example diagram of a gas sensor-based breath detection and health diagnosis system according to an embodiment of the present application;

[0036] Figure 2 An architecture diagram of a gas sensor-based breath detection and health diagnosis system provided for one embodiment of the present application;

[0037] Figure 3 A schematic diagram of the execution logic of a gas sensor-based breath detection and health diagnosis system provided for one embodiment of the present application;

[0038] Figure 4 A flow chart of a gas sensor-based exhalation detection and health diagnosis method according to an embodiment of the present application;

[0039] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0040] Among them, 10-gas sensor-based exhalation detection and health diagnosis system, 100-air pump, 200-gas sensor, 300-data processing module, 101-solenoid valve, 400-detection shell, 500-air bag, 501-memory, 502-processor, 503-communication interface. DETAILED DESCRIPTION

[0041] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0042] The following describes the gas sensor-based breath detection and health diagnosis system and method of the embodiment of the present application with reference to the accompanying drawings. In response to the problems mentioned in the above background technology, the present application provides a gas sensor-based breath detection and health diagnosis system, in which the system includes an air pump for collecting gas samples of the target user, and adjusting the airflow rate and flow direction of the gas sample so that the gas sample meets the preset gas transmission requirements, and the gas sample is transmitted directionally through the airflow rate and flow direction; the gas sensor is used to detect whether there is a target gas in the gas sample, and when there is a target gas in the gas sample, an analog signal corresponding to the target gas is generated; a data processing module is used to convert the analog signal into a digital signal, and perform data processing and environmental compensation operations on the digital signal to obtain the breath detection result corresponding to the target user, and obtain the health diagnosis information of the target user according to the breath detection result, and display the breath detection result and health diagnosis information in real time in the preset terminal device. The present application can effectively improve the portability, detection accuracy and real-time data feedback efficiency of the breath detection and health diagnosis system, thereby providing users with more efficient and accurate non-invasive breath detection services. Thereby, the problems of poor portability, inaccurate airflow control, low sensitivity, delayed data processing and great influence of environmental interference in the prior art are solved.

[0043] Specifically, Figure 1 It is a block diagram of a gas sensor-based exhalation detection and health diagnosis system according to an embodiment of the present application.

[0044] like Figure 1 As shown, the gas sensor-based exhalation detection and health diagnosis system 10 includes: an air pump 100, a gas sensor 200 and a data processing module 300.

[0045] The air pump 100 is used to collect gas samples from target users and adjust the airflow rate and flow direction of the gas samples so that the gas samples meet preset gas transmission requirements and transmit the gas samples in a directionally manner through the airflow rate and flow direction.

[0046] The air pump in the embodiment of the present application is an airflow generator of an exhalation detection and health diagnosis system based on a gas sensor. The input data of the air pump when it is running is the user's exhalation signal, and the output is a controllable stable airflow. The air pump is mainly responsible for generating airflow samples and transporting the gas samples exhaled by the user to the subsequent detection module (i.e., the gas sensor).

[0047] As a feasible method, the air pump in the embodiment of the present application can be a micro electric air pump, so that after the user exhales the gas through the air bag 500, Figure 2 As shown, the air flow rate and flow direction of the gas sample can be adjusted so that the gas sample can be stably and directionally transmitted through the pipeline according to actual conditions to be delivered to the detection module; secondly, the connection between the air pump and the air path adopts a leak-proof design to ensure the high efficiency of the gas collection process.

[0048] Optionally, in one embodiment of the present application, the air pump 100 includes: a solenoid valve 101, which is used to obtain the working status and detection requirements of the gas sensor 200, and adjust the air flow rate and flow direction of the gas sample according to the working status and detection requirements, so that the gas sample is output to the gas sensor 200 at the air flow rate and flow direction.

[0049] It should be noted that, in the embodiment of the present application, the airflow signal of the air pump can be input into the solenoid valve, and the solenoid valve can be used to control the airflow path to output a precisely regulated airflow.

[0050] During the actual implementation process, the embodiments of the present application can obtain the working status and detection requirements of the gas sensor, and according to the working status and detection requirements of the gas sensor, the solenoid valve can be opened or closed at the appropriate time to adjust the air flow rate and flow direction of the gas sample to ensure sufficient contact between the gas sensor and the exhaled gas.

[0051] It can be understood that the embodiments of the present application use a combination of an air pump and a solenoid valve to accurately control the rate and direction of the airflow according to the detection needs, ensure the stability of the gas sample and the controllability of the flow rate, ensure that the gas sample is transmitted in a directional manner during the collection and transmission process, prevent gas leakage or cross contamination, and fully contact with the sensor, thereby effectively improving the accuracy, repeatability and stability of the detection.

[0052] The gas sensor 200 is used to detect whether a target gas exists in the gas sample, and to generate an analog signal corresponding to the target gas when the target gas exists in the gas sample.

[0053] Furthermore, the embodiments of the present application can also detect target gas components (such as acetone, carbon dioxide, etc.) in the gas sample through the detection module (gas sensor), which is the core functional part of the gas sensor-based breath detection and health diagnosis system.

[0054] Specifically, the detection module in the embodiment of the present application is a high-sensitivity commercial gas sensor built into the gas sensor-based exhalation detection and health diagnosis system. The selection of the gas sensor is mainly based on the target gas concentration range and response time to ensure high-sensitivity detection of low-concentration gases; in the embodiment of the present application, the gas sensor can detect target gas components such as acetone, carbon dioxide, VOC, etc. in the input airflow after adjustment by the solenoid valve, obtain the corresponding target gas component detection signal, and convert the detection signal into an analog signal, and send it to the data processing module.

[0055] It should be noted that the design of the detection module in the embodiment of the present application has modular characteristics, and different types of gas sensors can be flexibly replaced according to needs, thereby effectively expanding the application scope of the system and adapting to the detection of various disease-related gases.

[0056] In addition, during the specific implementation process, technicians in this field can replace the commercial gas sensors in the detection module according to actual conditions. For example, technicians in this field can replace the commercial gas sensors in the detection module with gas sensors based on nanomaterials. Nanomaterial sensors have higher sensitivity and faster response speeds, and can detect lower concentrations of gases, such as trace amounts of acetone, ammonia and other characteristic gas components in exhaled breath, thereby not only improving the sensitivity of gas detection, but also improving the selectivity of the system and reducing the false detection of other interfering gases. It performs well in complex exhaled breath samples, and the unique surface properties of nanomaterials can better capture specific gas molecules and enhance the exhaled breath detection effect.

[0057] Therefore, the embodiments of the present application optimize the structural design of the detection module and adopt a precise gas path design, so that the gas sample can fully contact the surface of the commercial gas sensor, thereby improving the detection sensitivity; at the same time, the embodiments of the present application can use high-performance gas sensors and combine them with a unique airflow guide design, thereby effectively improving the detection accuracy and greatly improving the detection sensitivity of trace gases such as acetone.

[0058] The data processing module 300 is used to convert the analog signal into a digital signal, and perform data processing and environmental compensation operations on the digital signal to obtain the breath detection result corresponding to the target user, and obtain the health diagnosis information of the target user based on the breath detection result, and display the breath detection result and the health diagnosis information in real time in a preset terminal device.

[0059] Furthermore, the embodiments of the present application can perform A / D conversion on the analog signal output by the detection module to obtain a digital signal corresponding to the analog signal, and perform data processing and environmental compensation operations on the digital signal through a fast processing algorithm to obtain the user's corresponding breath detection results and corresponding health diagnosis information, and display the breath detection results and health diagnosis information in real time on mobile terminal devices such as mobile phones.

[0060] Therefore, the embodiments of the present application introduce a fast data processing algorithm to collect gas sensor data in real time and promptly feedback the detection results, thereby significantly shortening the detection time, being able to provide disease screening results in a short time, meeting the needs for rapid diagnosis of diseases, and solving the problems of data processing lag and slow feedback in existing equipment.

[0061] Optionally, in one embodiment of the present application, the data processing module 300 includes: a temperature and humidity sensor, a data microprocessor and a storage unit.

[0062] Among them, the temperature and humidity sensor is used to obtain the temperature and humidity information of the environment where the target user is located.

[0063] The data microprocessor is used to perform data filtering and calibration processing on the digital signal to obtain the data processing result corresponding to the digital signal, and perform environmental compensation operation on the data processing result through temperature and humidity information to generate breath detection results and health diagnosis information.

[0064] The storage unit is used to store breath test results and health diagnosis information.

[0065] It should be noted that the data processing module in the embodiment of the present application mainly includes a temperature and humidity sensor, a data microprocessor and a storage unit to perform corresponding processing on the output data of the gas sensor and provide real-time feedback on the detection results.

[0066] Specifically, the embodiments of the present application can first obtain environmental information such as temperature and humidity of the gas sensor-based exhalation detection and health diagnosis system through the system-integrated temperature and humidity sensors; secondly, the analog signal output by the gas sensor is converted into a digital signal through A / D conversion, and then the digital signal is filtered and calibrated by the data microprocessor according to the fast data processing algorithm, and environmental compensation operations are performed on the data processing results through environmental information and built-in algorithms to generate exhalation detection results and health diagnosis information.

[0067] Afterwards, the embodiments of the present application can display the output test results such as the breath test results and health diagnosis information in real time through the display device of the mobile terminal, so that the user can directly view the target gas concentration and the corresponding diagnosis results and other data.

[0068] It should be noted that in the actual implementation process, technical personnel in this field can adopt AI-driven algorithms to replace traditional signal processing methods. By learning and analyzing large-scale exhalation data, AI algorithms can identify the complex change patterns of gas components and give accurate diagnostic results.

[0069] Therefore, the embodiments of the present application, by introducing a fast data processing algorithm and an integrated detection module, can process gas sensor data in real time and generate breath detection results, thereby significantly shortening the detection time and achieving fast and convenient breath detection, thereby non-invasively detecting the gas components exhaled by humans and inferring the status of specific diseases through gas analysis, such as diabetic ketoacidosis, respiratory diseases, etc., which is suitable for rapid diagnosis and real-time feedback.

[0070] Optionally, in one embodiment of the present application, the gas sensor-based exhalation detection and health diagnosis system 10 of the embodiment of the present application also includes: a detection shell 400, the shell structure of the detection shell 400 is determined by the application scenario of the exhalation detection and health diagnosis system, and an air pump 100, a gas sensor 200 and a data processing module 300 are integrated.

[0071] In the specific implementation process, the embodiments of the present application can also be based on the application scenarios of the breath detection and health diagnosis system, and use lightweight and durable materials to design a specific shell (i.e., a detection shell) suitable for specific scenarios, so as to integrate key components such as the air pump, solenoid valve, detection module, and data processing module into a portable shell, so that the entire breath detection and health diagnosis system is miniaturized and lightweight, suitable for different usage scenarios, and meets different usage requirements such as clinical and home use.

[0072] In addition, the highly integrated breath detection and health diagnosis system is not only easy to carry, but also has a certain environmental isolation function to avoid the direct impact of the external environment on gas sensors, etc. The airflow channel in the outer shell has been optimized to ensure that the gas sample is in full contact with the gas sensor, thereby improving detection efficiency.

[0073] Therefore, the embodiments of the present application propose an integrated, portable, high-precision and fast-feedback solution to address the problems in the prior art, such as poor portability, inaccurate airflow control, low sensitivity, data processing lag and significant environmental interference, thereby providing a more practical and reliable non-invasive breath detection service.

[0074] To summarize, the embodiment of the present application first collects gas samples exhaled by the user through an air pump, and adjusts the airflow into the detection module through a solenoid valve; in the detection module, the gas sensor will identify and detect the target gas components, and generate corresponding analog signals, which can be transmitted to the data processing module for further processing; in this process, the data processing module can perform real-time compensation in combination with the environmental parameters provided by the temperature and humidity sensor to ensure the accuracy of the final output results; finally, the user can view the exhalation test results through the terminal device, so as to quickly understand the concentration information of the target gas in the exhaled breath.

[0075] The following describes the execution logic of the gas sensor-based exhalation detection and health diagnosis system of the present application in combination with the accompanying drawings.

[0076] Figure 3 The following is a schematic diagram of the execution logic of the gas sensor-based breath detection and health diagnosis system. Figure 3 As shown, the execution process of the gas sensor-based exhalation detection and health diagnosis system of the present application is as follows:

[0077] S301: Breath collection

[0078] The user exhales into the system through the exhalation port, the gas sample is collected by the air pump, and the flow rate is adjusted by the solenoid valve;

[0079] S302: Airflow Control and Sensing

[0080] The solenoid valve adjusts the airflow according to the working state of the gas sensor, the gas sample enters the detection module, and the gas sensor starts to detect the target gas (such as acetone) and generates a corresponding analog signal;

[0081] S303: Data Processing

[0082] The analog signal output by the detection module is converted by A / D in the data processing module, and the data is analyzed and the result is fed back through a fast processing algorithm;

[0083] S304: Environmental Compensation

[0084] The data processing module monitors environmental parameters such as temperature and humidity in real time, and compensates through built-in algorithms to ensure the accuracy of the test data;

[0085] S305: Result output

[0086] The final breath test results are output through the display unit of the terminal device, and the user can directly view the target gas concentration and the corresponding diagnostic results.

[0087] The gas sensor-based exhalation detection and health diagnosis system of the present application is described below through a specific embodiment.

[0088] Aiming at the cross-cutting basic research and medical applications of non-invasive and rapid diagnosis of diseases, the specific embodiment of this application develops a dedicated MEMS breath sensor chip, constructs an intelligent breath diagnosis system based on a general microsystem architecture and shallow machine learning algorithms, and uses VOC ketone body detection and health indicator analysis in human breath as typical application verifications.

[0089] Specifically, in a specific embodiment of the present application, the size of the entire device in the breath detection and health diagnosis system based on the gas sensor can be set to 13×10×6 cm 3 ; VOCs gas detection range is 0.1-10ppm; result analysis time is <1min; heterogeneous breath sensor chip units are ≥11, such as hydrogen sulfide sensor, ammonia sensor, propane smoke gas sensor and alcohol gas sensor, etc.; In addition, the gas sensor-based breath detection and health diagnosis system in the specific embodiment of the present application also has active breath flow control and exhaust cleaning functions, can display test results in real time, and is equipped with a Bluetooth receiver / transmitter.

[0090] The multidisciplinary cross-integration gas sensor-based breath detection and health diagnosis system of the specific embodiment of the present application has the advantages of being non-invasive and painless, simple to operate, low cost, fast diagnosis, and high accuracy. It is conducive to promoting the transformation of the concept of passive medical treatment to active medical treatment among the people, and is expected to reduce the investment of the national medical department in expensive imported analytical equipment and the medical costs of patients. It has both significant technological innovation and industrialization prospects, which can not only promote the cutting-edge development of medical instrument technology, but also open up new technical prospects for realizing personalized and efficient non-invasive diagnosis.

[0091] According to the gas sensor-based breath detection and health diagnosis system proposed in the embodiment of the present application, it includes an air pump for collecting gas samples of the target user, and adjusting the airflow rate and flow direction of the gas sample so that the gas sample meets the preset gas transmission requirements, and the gas sample is transmitted directionally through the airflow rate and flow direction; a gas sensor for detecting whether there is a target gas in the gas sample, and generating an analog signal corresponding to the target gas when there is a target gas in the gas sample; a data processing module for converting the analog signal into a digital signal, and performing data processing and environmental compensation operations on the digital signal to obtain the breath detection result corresponding to the target user, and obtain the health diagnosis information of the target user based on the breath detection result, and display the breath detection result and health diagnosis information in real time in the preset terminal device. The present application can effectively improve the portability, detection accuracy and real-time data feedback efficiency of the breath detection and health diagnosis system, thereby providing users with more efficient and accurate non-invasive breath detection services.

[0092] Secondly, the gas sensor-based breath detection and health diagnosis method proposed in the embodiment of the present application is described with reference to the accompanying drawings.

[0093] Figure 4 A flow chart of a gas sensor-based breath detection and health diagnosis method provided in an embodiment of the present application.

[0094] like Figure 4 As shown, the gas sensor-based breath detection and health diagnosis method includes the following steps:

[0095] In step S401, a gas sample of a target user is collected, and the airflow rate and flow direction of the gas sample are adjusted so that the gas sample meets a preset gas transmission requirement, and the gas sample is transmitted directionally through the airflow rate and flow direction.

[0096] In step S402 , it is detected whether the target gas exists in the gas sample, and when the target gas exists in the gas sample, an analog signal corresponding to the target gas is generated.

[0097] In step S403, the analog signal is converted into a digital signal, and data processing and environmental compensation operations are performed on the digital signal to obtain a breath detection result corresponding to the target user, and health diagnosis information of the target user is obtained based on the breath detection result, and the breath detection result and health diagnosis information are displayed in real time on a preset terminal device.

[0098] Optionally, in one embodiment of the present application, a gas sample of the target user is collected, and the airflow rate and flow direction of the gas sample are determined, including: obtaining the working status and detection requirements of the gas sensor; adjusting the opening and closing state of a preset solenoid valve according to the working status and detection requirements, and determining the airflow rate and flow direction of the gas sample according to the opening and closing state.

[0099] Optionally, in one embodiment of the present application, data processing and environmental compensation operations are performed on the digital signal to obtain a breath detection result corresponding to the target user, including: obtaining the temperature and humidity information of the environment in which the target user is located; performing data filtering and calibration processing on the digital signal to obtain a data processing result corresponding to the digital signal, and performing environmental compensation operations on the data processing result through the temperature and humidity information to generate a breath detection result and health diagnosis information.

[0100] It should be noted that the aforementioned explanation of the gas sensor-based breath detection and health diagnosis system embodiment is also applicable to the gas sensor-based breath detection and health diagnosis method of this embodiment, and will not be repeated here.

[0101] According to the breath detection and health diagnosis method based on a gas sensor proposed in the embodiment of the present application, a gas sample of the target user is collected, and the airflow rate and flow direction of the gas sample are adjusted so that the gas sample meets the preset gas transmission requirements, and the gas sample is transmitted directionally through the airflow rate and flow direction; the gas sample is detected whether there is a target gas in the gas sample, and when the target gas is present in the gas sample, an analog signal corresponding to the target gas is generated; the analog signal is converted into a digital signal, and the digital signal is subjected to data processing and environmental compensation operations to obtain the breath detection result corresponding to the target user, and the health diagnosis information of the target user is obtained based on the breath detection result, and the breath detection result and health diagnosis information are displayed in real time in a preset terminal device. The present application can effectively improve the portability, detection accuracy and real-time data feedback efficiency of the breath detection and health diagnosis system, thereby providing users with more efficient and accurate non-invasive breath detection services.

[0102] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0103] A memory 501 , a processor 502 , and a computer program stored in the memory 501 and executable on the processor 502 .

[0104] When the processor 502 executes the program, the gas sensor-based exhalation detection and health diagnosis method provided in the above embodiment is implemented.

[0105] Furthermore, the electronic device further comprises:

[0106] The communication interface 503 is used for communication between the memory 501 and the processor 502 .

[0107] The memory 501 is used to store computer programs that can be executed on the processor 502 .

[0108] The memory 501 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0109] If the memory 501, the processor 502 and the communication interface 503 are implemented independently, the communication interface 503, the memory 501 and the processor 502 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0110] Optionally, in a specific implementation, if the memory 501, the processor 502 and the communication interface 503 are integrated on a chip, the memory 501, the processor 502 and the communication interface 503 can communicate with each other through an internal interface.

[0111] The processor 502 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0112] An embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned gas sensor-based exhalation detection and health diagnosis method is implemented.

[0113] An embodiment of the present application also provides a computer program product, including a computer program, which, when executed, is used to implement the above-mentioned gas sensor-based exhalation detection and health diagnosis method.

[0114] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0115] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0116] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0117] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0118] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0119] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0120] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0121] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A breath detection and health diagnosis system based on a gas sensor, characterized in that: include: An air pump, used to collect a gas sample of a target user, and adjust the gas flow rate and flow direction of the gas sample so that the gas sample meets a preset gas transmission requirement, and transmits the gas sample in a directionally manner through the gas flow rate and the flow direction; A gas sensor, configured to detect whether a target gas exists in the gas sample, and to generate an analog signal corresponding to the target gas when the target gas exists in the gas sample; A data processing module is used to convert the analog signal into a digital signal, and perform data processing and environmental compensation operations on the digital signal to obtain a breath detection result corresponding to the target user, and obtain health diagnosis information of the target user based on the breath detection result, and display the breath detection result and the health diagnosis information in real time on a preset terminal device.

2. The system according to claim 1, characterized in that Also includes: A detection shell, the shell structure used for the detection shell is determined by the application scenario of the exhalation detection and health diagnosis system, and the air pump, the gas sensor and the data processing module are integrated.

3. The system according to claim 1, characterized in that The air pump comprises: The solenoid valve is used to obtain the working state and detection requirements of the gas sensor, and adjust the airflow rate and the flow direction of the gas sample according to the working state and the detection requirements, so that the gas sample is output to the gas sensor at the airflow rate and the flow direction.

4. The system according to claim 3, characterized in that The data processing module comprises: A temperature and humidity sensor, used to obtain temperature and humidity information of the environment where the target user is located; A data microprocessor, configured to perform data filtering and calibration processing on the digital signal to obtain a data processing result corresponding to the digital signal, and perform an environmental compensation operation on the data processing result through the temperature and humidity information to generate the breath detection result and the health diagnosis information; A storage unit is used to store the breath detection result and the health diagnosis information.

5. A breath detection and health diagnosis method based on a gas sensor, characterized in that: The following steps are involved: Collecting a gas sample of a target user, and adjusting the gas flow rate and flow direction of the gas sample so that the gas sample meets a preset gas transmission requirement, and the gas sample is directionally transmitted through the gas flow rate and the flow direction; Detecting whether a target gas exists in the gas sample, and generating an analog signal corresponding to the target gas when the target gas exists in the gas sample; The analog signal is converted into a digital signal, and data processing and environmental compensation operations are performed on the digital signal to obtain a breath detection result corresponding to the target user, and health diagnosis information of the target user is obtained based on the breath detection result, and the breath detection result and the health diagnosis information are displayed in real time on a preset terminal device.

6. The method according to claim 5, characterized in that The collecting of the gas sample of the target user and determining the airflow rate and the flow direction of the gas sample includes: Obtaining the working status and detection requirements of the gas sensor; The opening and closing state of the preset solenoid valve is adjusted according to the working state and the detection requirement, and the airflow rate and the flow direction of the gas sample are determined according to the opening and closing state.

7. The method according to claim 5, characterized in that The performing data processing and environment compensation operations on the digital signal to obtain a breath detection result corresponding to the target user includes: Obtaining temperature and humidity information of the target user's environment; The digital signal is subjected to data filtering and calibration processing to obtain a data processing result corresponding to the digital signal, and an environmental compensation operation is performed on the data processing result through the temperature and humidity information to generate the breath detection result and the health diagnosis information.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the gas sensor-based breath detection and health diagnosis method as described in any one of claims 5 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the gas sensor-based exhalation detection and health diagnosis method as described in any one of claims 5 to 7.

10. A computer program product, comprising a computer program, characterized in that The computer program is executed to implement the gas sensor-based breath detection and health diagnosis method as described in any one of claims 5 to 7.

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