Respiratory metabolism detection method and bidirectional gas collection and detection device

Abstract

The invention relates to the technical field of respiratory metabolism detection, in particular to a respiratory metabolism detection method and a bidirectional gas collection and detection device. The respiratory metabolism detection method comprises the following steps: respectively collecting gas in an inspiration stage and an expiration stage participating in respiration through an inspiration collection channel and an expiration collection channel which are mutually independent in a bidirectional gas collection and detection device; the collected gas sample is detected through a sensor in the integrated gas analysis module; the data processing module is used for receiving detection data transmitted by the sensor, and the data is accurately calibrated according to a preset calibration standard and an intelligent data processing algorithm; component concentration calculation is performed on the calibrated data, and an accurate gas component concentration value is obtained through an algorithm according to response characteristics of different gas components on the sensor; and in combination with respiratory parameters such as respiratory frequency and respiratory depth, gas components in two processes of expiration and inspiration are collected and analyzed in the same equipment at the same time.

Description

Technical Field

[0001] The present invention relates to the technical field of respiratory metabolism detection, and in particular to a respiratory metabolism detection method and a bidirectional gas collection and detection device. Background Art

[0002] Currently, common respiratory metabolic component detection products on the market are widely used in scenarios such as clinical diagnosis, sports training monitoring, and ambient air quality assessment. For example, in clinical diagnosis, they help doctors understand the patient's physiological conditions related to respiratory metabolism and assist in disease diagnosis; in sports training monitoring scenarios, they provide data support for the formulation and adjustment of athletes' training plans; and in ambient air quality assessment, they can detect gas components in the air related to respiratory metabolism and determine ambient air quality.

[0003] Among them, most respiratory metabolism detection equipment in the existing technology adopts infrared spectroscopy, sensors and other technologies, using the absorption characteristics of gas to specific wavelengths of light to measure the concentration of gas components through infrared spectroscopy; or with the help of sensors, such as using electrodes to react chemically with gas to detect the concentration of gas components.

[0004] However, existing products primarily focus on detecting exhaled breath composition, with less attention paid to detecting gas composition during the inhalation phase. Because changes in gas composition during both inhalation and exhalation can reflect the body's physiological state, the lack of inhalation data leads to information loss. Consequently, respiratory metabolic testing cannot simultaneously capture data from the inhalation process, resulting in a less comprehensive and accurate assessment of respiratory metabolic status.

[0005] Secondly, in complex environments, such as those with multiple gas interferences, the detection accuracy of existing products is easily affected, making them unable to meet the requirements of high-precision detection. For example, in industrial environments or crowded places, the mixing of multiple gases can interfere with detection results. This is because existing technologies lack anti-interference capabilities, the selectivity and stability of sensors need to be improved, and data processing algorithms struggle to effectively eliminate the influence of interfering gases.

[0006] Furthermore, existing products are bulky and complex to operate, making them inconvenient for use in sports, outdoor settings, and other settings. In sports settings, large devices are difficult to carry, and complex operations can distract users, affecting the exercise experience and timeliness of detection. Outdoor use also increases the difficulty of use due to the complex operation and large size, and the low level of technical integration makes it difficult to adapt to the needs of diverse application scenarios. Summary of the Invention

[0007] In view of the above technical problems, in a first aspect, the present invention proposes a respiratory metabolism detection method, comprising: The two-way gas collection and detection device collects gases during the inhalation and exhalation phases of breathing through the independent inhalation and exhalation collection channels, respectively. The flow control device adjusts the gas flow during the inhalation and exhalation phases to ensure that the collected gas samples are representative. The sensor in the integrated gas analysis module detects the collected gas samples, identifies and measures the concentrations of different gas components in the gas samples, and converts the gas information into electrical or optical signals; The data processing module receives detection data from the sensor, starts the automatic calibration device, and accurately calibrates the data according to the preset calibration standards and intelligent data processing algorithms to eliminate data deviations caused by sensor errors, environmental interference and other factors; the component concentration of the calibrated data is calculated, and the accurate gas component concentration value is obtained through the algorithm based on the response characteristics of different gas components on the sensor; combined with the respiratory parameters of respiratory rate and breathing depth, metabolic parameters are analyzed and derived, and then the respiratory metabolic status is evaluated.

[0008] Preferably, the information on gas component content, metabolic status and respiratory parameters during the inhalation and exhalation phases obtained after processing is displayed on a display screen in real time.

[0009] Preferably, the bidirectional gas collection and detection device uploads the detection data to a cloud server or other external device via a wireless transmission module.

[0010] Preferably, the sensor includes an infrared spectrum sensor for detecting gas types in the gas sample, and an electrochemical sensor for measuring gas concentration.

[0011] Preferably, before gas collection, the device automatically starts a self-test program to perform functional tests on each sensor, flow control device, data processing module and communication module to ensure that the device is in normal working condition. If a fault is detected, the user will be notified through voice broadcast and display screen.

[0012] In a second aspect, the present invention further provides a bidirectional gas collection and detection device, comprising a gas collection component, an integrated gas analysis module, and a data processing module; The gas collection component includes an inhalation collection channel and an exhalation collection channel that are independent of each other, wherein the inhalation collection channel is configured to collect gas involved in the inhalation phase of breathing, and the exhalation collection channel is configured to collect gas involved in the exhalation phase of breathing; The integrated gas analysis module includes a first sensor and a second sensor, wherein the first sensor is arranged in the inhalation collection channel, and the second sensor is arranged in the exhalation collection channel. The integrated gas analysis module is configured to detect the collected gas sample using the first sensor and the second sensor, respectively, identify and measure the concentration of different gas components in the gas sample, and convert the gas information into an electrical signal or an optical signal; The data processing module is connected to the gas analysis module, and has built-in intelligent data processing algorithms and automatic calibration devices. The automatic calibration device is configured to calibrate the data transmitted from the gas analysis module according to preset standards to eliminate data deviations caused by factors such as sensor errors and environmental interference. The intelligent data processing algorithm is used to process the calibrated data, calculate the concentration of gas components, and derive metabolic parameters in combination with respiratory parameters to evaluate the respiratory metabolic status.

[0013] Preferably, both the exhaled air collection channel and the inhaled air collection channel are provided with a backflow prevention structure.

[0014] Preferably, the bidirectional gas collection and detection device further includes a display screen, which is configured to display the working status, gas component content, metabolic status and respiratory parameter information of the gas collection and detection device in real time.

[0015] Preferably, the data processing module is further connected to a wireless transmission module, and the data processing module is configured to upload the processed data to a cloud server or other external device using the wireless transmission module.

[0016] Preferably, flow control devices are provided in both the exhaled air collection channel and the inhaled air collection channel.

[0017] Compared with the prior art, the respiratory metabolism detection method and bidirectional gas collection and detection device provided by the present invention have the following outstanding substantive features and significant improvements: 1. This respiratory metabolism detection method collects gases during the inhalation and exhalation stages through independent inhalation collection channels and exhalation collection channels, respectively, and uses a flow control device to adjust the gas flow, which can ensure that the collected gas samples are more representative and provide a more reliable data basis for subsequent detection. Using an integrated gas analysis module, the sensor can directly detect the collected gas samples, quickly identify and measure the concentrations of different gas components, and can promptly convert gas information into electrical signals or optical signals, greatly improving detection efficiency. In addition, the data is accurately calibrated according to preset calibration standards and intelligent data processing algorithms, which can effectively eliminate data deviations, and then the accurate gas component concentration values are obtained through the algorithm, making the detection results more reliable.

[0018] 2. This respiratory metabolic detection method realizes the simultaneous collection and analysis of gas components in both exhalation and inhalation processes in the same device, breaking through the limitation of existing technology that can only detect exhaled components, and providing more accurate data support for the comprehensive assessment of respiratory metabolic status. It can not only accurately detect the concentration of gas components, but also combine respiratory parameters such as respiratory rate and respiratory depth to analyze and derive metabolic parameters, and then comprehensively evaluate the respiratory metabolic status, providing richer information for medical research, health monitoring, etc.

[0019] 3. The bidirectional gas collection and detection device has independent inhalation collection channels and exhalation collection channels, which can accurately collect gases in the inhalation and exhalation stages respectively, ensuring the purity and representativeness of the collected gas samples from the source, and providing a more reliable data basis for subsequent detection and analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic diagram of the three-dimensional structure of a bidirectional gas collection and detection device in an embodiment of the present invention.

[0021] Figure 2 yes Figure 1 A schematic diagram of the three-dimensional structure of a bidirectional gas collection and detection device from another perspective.

[0022] Figure 3 yes Figure 1 A side view of a bidirectional gas collection and detection device.

[0023] Figure 4 yes Figure 3 Schematic diagram of the cross-sectional structure at AA in the middle.

[0024] Figure 5 It is an isometric cross-sectional structural diagram of a bidirectional gas collection and detection device in an embodiment of the present invention.

[0025] Figure 6 It is a schematic diagram of the assembly structure of a bidirectional gas collection and detection device in an embodiment of the present invention.

[0026] Figure numerals: 1. Shell; 2. Base; 3. Gas collecting component; 4. Breathing nozzle; 5. Filter mesh; 11. Placement cavity; 12. First air vent; 13. Second air vent; 31. Inhalation collection channel; 32. Exhalation collection channel; 33. First transition channel; 34. Second transition channel; 321. First narrowing cavity; 322. Expansion cavity; 323. Second narrowing cavity. DETAILED DESCRIPTION

[0027] The specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0028] like Figures 1-6As shown, a bidirectional gas collection and detection device is proposed in an embodiment of the present invention, which aims to realize the simultaneous collection and analysis of gas components in both exhalation and inhalation processes in the same device, breaking through the limitation of existing technology that can only detect exhaled components, and providing more accurate data support for comprehensive assessment of respiratory metabolic status.

[0029] like Figures 1-6 As shown, a bidirectional gas collection and detection device includes a gas collection component, an integrated gas analysis module and a data processing module.

[0030] The gas collection component includes an inhalation collection channel and an exhalation collection channel that are independent of each other. The inhalation collection channel is configured to collect gas involved in the inhalation phase of breathing. The exhalation collection channel is configured to collect gas involved in the exhalation phase of breathing.

[0031] The integrated gas analysis module includes a first sensor and a second sensor. The first sensor is located in the inhaled air collection channel, and the second sensor is located in the exhaled air collection channel. The integrated gas analysis module is configured to detect collected gas samples using the first and second sensors, respectively, to identify and measure the concentrations of different gas components in the gas samples, and to convert the gas information into electrical or optical signals.

[0032] The data processing module is connected to the gas analysis module. It incorporates intelligent data processing algorithms and an automatic calibration device. This automatic calibration device calibrates the data transmitted from the gas analysis module according to preset standards, eliminating data deviations caused by factors such as sensor errors and environmental interference. The intelligent data processing algorithm processes the calibrated data, calculates gas component concentrations, and, combined with respiratory parameters, derives metabolic parameters to assess respiratory metabolic status.

[0033] Both the exhaled and inhaled air collection channels are equipped with anti-backflow structures. These structures effectively prevent gas from flowing back into the exhaled air collection channel during the inhalation phase, and from flowing back into the inhaled air collection channel during the exhalation phase. This ensures that gas samples collected during the inhalation and exhalation phases remain pure, preventing mixing of gases from different phases. This provides reliable samples for subsequent precise analysis of gas composition, greatly improving the validity and reference value of the test data. For example, the anti-backflow structure utilizes a one-way valve.

[0034] like Figure 4 As shown, the housing 1 is provided with a placement cavity 11 for accommodating the gas collecting component 3. The housing 1 is provided with a first vent 12 and a second vent 13.

[0035] like Figure 4As shown, the gas collection component 3 is mounted within the placement chamber 11. The gas collection component 3 includes an inhalation collection channel 31 and an exhalation collection channel 32. The inhalation collection channel 31 and the exhalation collection channel 32 are independent of each other. The inhalation collection channel 31 and the exhalation collection channel 32 are connected to the first vent 12 via a first transition channel 33 and to the second vent 13 via a second transition channel 34, forming a gas collection circuit.

[0036] like Figure 5 As shown, the first vent 12 is located at the top of the housing 1, and the second vent 13 is located at the bottom of the housing 1. This arrangement of vents is more convenient in actual use. For example, when wearing or installing the device, whether the user is standing, sitting, or lying down, the vents can be positioned relatively reasonably without affecting gas collection.

[0037] Furthermore, the vertically distributed vents help create a uniform airflow distribution within the device. This prevents turbulent airflow as gas enters and exits during inhalation and exhalation, allowing the inhalation and exhalation collection channels 31 and 32 to collect gas more stably, ensuring that the collected gas samples are more representative, thus providing a more reliable data basis for respiratory metabolic testing.

[0038] like Figure 5 As shown, the exhaled air collection channel 32 includes a first constricted cavity 321, an expansion cavity 322, and a second constricted cavity 323, which are sequentially connected. The inhaled air collection channel 31 is arranged in a curved pattern along the outer contour of the expansion cavity 322. One end of the inhaled air collection channel 31 merges with the first constricted cavity 321 and connects to the first transition channel 33. The other end of the inhaled air collection channel 31 merges with the second constricted cavity 323 and connects to the second transition channel 34.

[0039] The first constricted cavity 321 initially converges and accelerates exhaled gas, allowing it to quickly enter the expansion cavity 322. The expansion cavity 322 provides a larger space for the exhaled gas to fully diffuse and buffer, preventing inadequate collection due to excessively fast flow rates. The second constricted cavity 323 further converges the gas, facilitating the stable delivery of the collected exhaled gas, significantly improving the efficiency and quality of exhaled gas collection.

[0040] The inhalation collection channel 31 and the exhalation collection channel 32 are structurally closely connected but independent of each other, and the inhalation collection channel 31 is arranged along the outer contour of the expansion cavity 322 of the exhalation collection channel 32, so that the flow paths of the inhaled and exhaled gases inside the device are clear and definite, which can effectively avoid the mixing of the inhaled and exhaled gases, greatly enhance the gas separation effect, provide pure gas samples for subsequent accurate respiratory metabolic testing, and improve the reliability and scientificity of the test results.

[0041] According to some preferred embodiments of the present invention, a coating is provided on the inner walls of both the inhalation collection channel 31 and the exhalation collection channel 32. The coating can make the inner surfaces of the channels smoother, reducing the likelihood of impurities adhering to the channel walls, and can also reduce frictional resistance, further guiding the smooth flow of air.

[0042] like Figure 6 As shown, a breathing nozzle 4 is provided at the first vent 12. This nozzle 4 guides the respiratory airflow more accurately into the first vent 12, preventing gas leakage and ensuring that both inhaled and exhaled gases efficiently enter the gas collection circuit. Furthermore, as an independent component, the breathing nozzle 4 can be designed to be disposable or easily disassembled for cleaning and disinfection, effectively preventing cross-infection and reducing the difficulty of cleaning and maintenance of the entire device.

[0043] In addition, the respiratory nozzle 4 can also be integrated with a sensor to monitor the user's basic respiratory parameters such as respiratory rate and breathing depth. This data can provide more comprehensive information reference for respiratory metabolic testing, helping doctors or researchers to gain a deeper understanding of the user's respiratory status, further enhancing the value and significance of the test.

[0044] For example, a thermal flow sensor integrated into the breathing nozzle 4 measures the heat removed by the flowing gas to calculate the gas flow rate, which is then converted into respiratory flow, enabling monitoring of respiratory rate and depth. Pressure sensors also play a role, sensing changes in gas pressure during breathing and converting the pressure signal into an electrical signal to obtain breathing-related data. Capacitive sensors also utilize changes in capacitance within the nozzle during breathing to sensitively capture subtle breathing dynamics and provide accurate data for monitoring.

[0045] During the gas collection process, dust, particles and other impurities in the external environment may enter the equipment along with the gas. Figure 5 As shown, a filter mesh 5 is provided at the second vent 13. The filter mesh 5 provided at the second vent 13 can play an intercepting role, blocking these impurities from entering the gas collection channel and detection system inside the device.

[0046] like Figure 2 As shown, the bottom of the housing 1 is provided with a base 2 for supporting the gas collection component 3, and the second vent 13 is located on the base 2. The base 2 provides a stable support for the gas collection component 3, ensuring that it maintains the correct position and posture within the device. During device assembly, the gas collection component 3 can be initially positioned by simply placing it on the base 2, reducing assembly difficulty and cost. During device maintenance, the gas collection component 3 can also be easily removed from the base 2 for inspection, repair, or replacement.

[0047] According to some preferred embodiments of the present invention, the bidirectional gas collection and detection device further includes a display screen, which is configured to display the working status, gas component content, metabolic status, and respiratory parameter information of the gas collection and detection device in real time.

[0048] This allows operators to instantly check the operating status of the gas collection and detection device, such as whether the equipment is operating properly and whether any components are faulty, without the need for additional tools or complex operations. Gas composition, metabolic status, and respiratory parameters are also readily apparent, significantly reducing the time required for reading and analyzing information, improving work efficiency, and enabling quick access to test results.

[0049] The data processing module is also connected to a wireless transmission module, which is configured to upload processed data to a cloud server or other external device via wireless transmission. Uploading data to the cloud server eliminates the risk of data loss due to damage to local storage devices. The cloud server features a professional data backup and recovery mechanism, ensuring the secure and long-term storage of processed data, allowing for easy tracing of historical data and providing continuous data support for research and analysis.

[0050] In addition, the powerful computing power and rich data analysis tools of cloud servers can conduct in-depth analysis and mining of large amounts of uploaded data. Through the integration and analysis of massive data, potential patterns and trends between data can be discovered, providing valuable reference for further research and application. According to some preferred embodiments of the present invention, flow control devices are provided in both the exhaled air collection channel and the inhaled air collection channel. The flow control devices can precisely adjust the gas flow in the inhaled air collection channel and the exhaled air collection channel according to actual conditions, ensuring that representative gas samples can be collected under different breathing conditions.

[0051] The flow control device uses a mass flow controller (MFC). This sensor monitors the gas mass flow in real time and adjusts the valve opening according to the set value through a control circuit to precisely control the gas flow. In a bidirectional gas collection and detection device, the MFC can quickly respond to flow changes, stabilizing the flow near the set value with an accuracy of ±1% or even higher.

[0052] The present invention also provides a respiratory metabolism detection method, which includes the following steps: Through the independent inhalation collection channel and expiratory collection channel in the bidirectional gas collection and detection device, the gases involved in the inhalation and expiratory stages of breathing are collected respectively, and the gas flow in the inhalation and expiratory stages is adjusted using a flow control device to ensure that the collected gas samples are representative.

[0053] The sensors in the integrated gas analysis module detect the collected gas samples, identify and measure the concentrations of different gas components in the gas samples, and convert the gas information into electrical or optical signals. The sensors include infrared spectrometers for detecting gas types in the gas samples and electrochemical sensors for measuring gas concentrations.

[0054] The data processing module receives detection data from the sensor, starts the automatic calibration device, and accurately calibrates the data according to the preset calibration standards and intelligent data processing algorithms to eliminate data deviations caused by sensor errors, environmental interference and other factors; the component concentration of the calibrated data is calculated, and the accurate gas component concentration value is obtained through the algorithm based on the response characteristics of different gas components on the sensor; combined with the respiratory parameters of respiratory rate and breathing depth, metabolic parameters are analyzed and derived, and then the respiratory metabolic status is evaluated.

[0055] Before gas collection, the equipment automatically starts the self-test program to perform functional tests on each sensor, flow control device, data processing module and communication module to ensure that the equipment is in normal working condition. If a fault is detected, the user will be notified through voice broadcast and display screen.

[0056] Taking carbon dioxide gas in respiratory metabolism as an example, the specific operation process of a respiratory metabolism detection method proposed in an embodiment of the present invention is as follows: Gas collection phase: The person being tested breathes normally, and the bidirectional gas collection and detection device starts working. During the inhalation phase, air enters through the inhalation collection channel. The flow control device in the channel (such as a mass flow controller) accurately adjusts the incoming gas flow according to the preset flow value to ensure that the collected gas is representative. At the same time, the anti-backflow structure (such as a one-way valve) in the inhalation collection channel prevents gas backflow. Similarly, during the exhalation phase, the exhaled gas is collected through the exhalation collection channel, the flow control device adjusts the flow, and the anti-backflow structure prevents gas backflow. Throughout the process, the inhalation and exhalation collection channels are independent of each other, ensuring the purity of the collected inhalation and exhalation gas samples.

[0057] Gas Detection Phase: The collected exhaled and inhaled gas samples enter the integrated gas analysis module. The second sensor in the exhaled gas collection channel and the first sensor in the inhaled gas collection channel begin operating. For carbon dioxide detection, the sensors utilize their specific response mechanisms to carbon dioxide (e.g., infrared absorption principle: carbon dioxide absorbs infrared light of a specific wavelength, and the sensor determines carbon dioxide concentration by detecting changes in infrared intensity). These sensors then identify and measure the carbon dioxide concentration in the inhaled and exhaled gas samples, converting the detected gas information into electrical or optical signals.

[0058] Data processing stage: The gas analysis module transmits the converted signal to the data processing module. The data processing module's built-in automatic calibration device first calibrates the incoming data according to preset standards to eliminate data deviations caused by sensor errors, environmental interference, and other factors. After calibration, the intelligent data processing algorithm calculates the accurate carbon dioxide concentration value based on the sensor's response characteristics to carbon dioxide, combined with respiratory parameters such as respiratory rate and respiratory depth (which can be obtained through additional respiratory parameter detection equipment or indirectly calculated in the data processing module based on changes in gas flow), and analyzes and derives metabolic parameters. For example, the difference in carbon dioxide concentration between exhalation and inspiration, combined with respiratory rate and other factors, calculates the carbon dioxide exhalation rate, which is used to assess carbon dioxide metabolism during respiratory metabolic status.

[0059] Data display and transmission: Processed data is displayed in real time on the display screen of the two-way gas collection and detection device, including carbon dioxide concentration values, respiratory metabolic status, and respiratory parameter information, allowing operators to intuitively view them. Furthermore, the data processing module uses a wireless transmission module to upload the processed data to a cloud server or other external device, enabling remote storage, sharing, and analysis of the data for further study and diagnosis by researchers or medical staff.

[0060] Taking oxygen in respiratory metabolism as an example, the specific operation process of a respiratory metabolism detection method proposed in an embodiment of the present invention is as follows: Gas collection phase: The person being tested breathes normally, and the bidirectional gas collection and detection device starts working. During the inhalation phase, air enters through the inhalation collection channel. The flow control device in the channel (such as a mass flow controller) accurately adjusts the incoming gas flow according to the preset flow value to ensure that the collected gas is representative. At the same time, the anti-backflow structure (such as a one-way valve) in the inhalation collection channel prevents gas backflow. Similarly, during the exhalation phase, the exhaled gas is collected through the exhalation collection channel, the flow control device adjusts the flow, and the anti-backflow structure prevents gas backflow. Throughout the process, the inhalation and exhalation collection channels are independent of each other, ensuring the purity of the collected inhalation and exhalation gas samples.

[0061] During the gas detection phase, the collected exhaled and inhaled gas samples enter the integrated gas analysis module. A first sensor in the inhaled gas collection channel and a second sensor in the exhaled gas collection channel begin operating. For oxygen detection, an electrochemical sensor is typically used. This sensor reacts chemically with oxygen, generating an electrical signal related to the oxygen concentration, thereby measuring the oxygen concentration in the gas sample.

[0062] Data Processing: The gas analysis module transmits the electrical signals converted by the sensor to the data processing module. The data processing module's built-in automatic calibration device calibrates the data according to preset standards, eliminating data deviations caused by sensor errors, environmental interference, and other factors. After calibration, an intelligent data processing algorithm calculates accurate oxygen concentration values based on the sensor's response to oxygen and respiratory parameters such as respiratory rate and depth. It also analyzes and derives metabolic parameters such as oxygen uptake and utilization efficiency to assess oxygen metabolism during respiratory metabolism.

[0063] Data display and transmission: Processed data is displayed in real time on the display screen of the two-way gas collection and detection device, including oxygen concentration values, respiratory metabolic status, and respiratory parameter information, allowing operators to intuitively view them. Furthermore, the data processing module uses a wireless transmission module to upload the processed data to a cloud server or other external device, enabling remote storage, sharing, and analysis of the data for further study and diagnosis by researchers or medical staff.

[0064] Taking nitric oxide gas in respiratory metabolism as an example, the specific operation process of a respiratory metabolism detection method proposed in an embodiment of the present invention is as follows: Gas collection stage: The gas collection process is the same as the above-mentioned oxygen detection. Gas samples are collected during the inhalation and exhalation phases through the inhalation and exhalation collection channels respectively to ensure the representativeness and purity of the samples.

[0065] Gas detection: Nitric oxide is detected using sensors in the integrated gas analysis module. Chemiluminescence sensors are typically used. Their principle is that nitric oxide reacts with specific chemicals to produce luminescence, and the concentration of nitric oxide is determined by measuring the luminescence intensity.

[0066] Data processing stage: The data processing module receives the detection signal from the sensor, and after calibration by the automatic calibration device, uses an intelligent data processing algorithm combined with respiratory parameters to calculate the accurate nitric oxide concentration value and analyze its role in respiratory metabolism, such as evaluating airway inflammation, vasodilation and other functional states.

[0067] Data display and transmission stage: The processed data is displayed in real time on the display screen, and the data is transmitted to external devices through the wireless transmission module to realize data sharing and further analysis.

[0068] The present invention is not limited to the specific technical solutions described in the above embodiments. In addition to the above embodiments, the present invention may also have other implementation methods. For those skilled in the art, any technical solutions formed by modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A respiratory metabolism detection method, characterized in that: include: The two-way gas collection and detection device collects gases during the inhalation and exhalation phases of breathing through the independent inhalation and exhalation collection channels, respectively. The flow control device adjusts the gas flow during the inhalation and exhalation phases to ensure that the collected gas samples are representative. The sensor in the integrated gas analysis module detects the collected gas samples, identifies and measures the concentrations of different gas components in the gas samples, and converts the gas information into electrical or optical signals; The data processing module receives detection data from the sensor, starts the automatic calibration device, and accurately calibrates the data according to the preset calibration standards and intelligent data processing algorithms to eliminate data deviations caused by sensor errors, environmental interference and other factors; the component concentration of the calibrated data is calculated, and the accurate gas component concentration value is obtained through the algorithm based on the response characteristics of different gas components on the sensor; combined with the respiratory parameters of respiratory rate and breathing depth, metabolic parameters are analyzed and derived, and then the respiratory metabolic status is evaluated.

2. The respiratory metabolism detection method according to claim 1, characterized in that It also includes displaying the processed information of gas component content, metabolic status and respiratory parameters in the inhalation and exhalation stages on the display screen in real time.

3. The respiratory metabolism detection method according to claim 1, characterized in that The bidirectional gas collection and detection device uploads the detection data to a cloud server or other external devices via a wireless transmission module.

4. The respiratory metabolism detection method according to claim 1, characterized in that The sensor includes an infrared spectrum sensor for detecting gas types in a gas sample and an electrochemical sensor for measuring gas concentration.

5. The respiratory metabolism detection method according to claim 1, characterized in that Before gas collection, the equipment automatically starts the self-test program to perform functional tests on each sensor, flow control device, data processing module and communication module to ensure that the equipment is in normal working condition. If a fault is detected, the user will be notified through voice broadcast and display screen.

6. A bidirectional gas collection and detection device, characterized in that: It includes gas collection components, integrated gas analysis module and data processing module; The gas collection component includes an inhalation collection channel and an exhalation collection channel that are independent of each other, wherein the inhalation collection channel is configured to collect gas involved in the inhalation phase of breathing, and the exhalation collection channel is configured to collect gas involved in the exhalation phase of breathing; The integrated gas analysis module includes a first sensor and a second sensor, wherein the first sensor is arranged in the inhalation collection channel, and the second sensor is arranged in the exhalation collection channel. The integrated gas analysis module is configured to detect the collected gas sample using the first sensor and the second sensor, respectively, identify and measure the concentration of different gas components in the gas sample, and convert the gas information into an electrical signal or an optical signal; The data processing module is connected to the gas analysis module, and has built-in intelligent data processing algorithms and automatic calibration devices. The automatic calibration device is configured to calibrate the data transmitted from the gas analysis module according to preset standards to eliminate data deviations caused by factors such as sensor errors and environmental interference. The intelligent data processing algorithm is used to process the calibrated data, calculate the concentration of gas components, and derive metabolic parameters in combination with respiratory parameters to evaluate the respiratory metabolic status.

7. The bidirectional gas collection and detection device according to claim 6, characterized in that: The exhalation collection channel and the inhalation collection channel are both provided with an anti-backflow structure.

8. The bidirectional gas collection and detection device according to claim 6, characterized in that: It also includes a display screen, which is configured to display the working status, gas component content, metabolic status and respiratory parameter information of the gas collection and detection device in real time.

9. The bidirectional gas collection and detection device according to claim 6, characterized in that: The data processing module is further connected to a wireless transmission module, and the data processing module is configured to upload the processed data to a cloud server or other external devices using the wireless transmission module.

10. The bidirectional gas collection and detection device according to claim 6, characterized in that: Flow control devices are provided in both the exhalation collection channel and the inhalation collection channel.

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