Functional residual gas amount measuring method, device and equipment and storage medium

Through the electrical impedance imaging equipment recording and fitting the electrical impedance change curve of the lungs and calculating the functional residual gas volume, the existing FRC measurement methods are solved, the time-consuming, complex equipment and poor applicability are achieved, and rapid and accurate measurement is achieved, and efficiency and applicability are improved.

CN119970002APending Publication Date: 2025-05-13SHENZHEN YUANLU YUHENG TECH CO LTD
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Patent Information

Application Number
CN202510119999.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-25
Publication Date
2025-05-13

AI Technical Summary

Technical Problem

The existing functional residual gas (FRC) measurement methods are time-consuming, complex, and have poor applicability in critically ill patients, which affects the efficiency and convenience of measurement.

Method used

The electrical impedance imaging device is used to record the user's lung electrical impedance change value under multiple tidal volumes. By fitting the lung electrical impedance change curve, the real-time lung electrical impedance distribution value is calculated to obtain the functional residual volume.

Benefits of technology

It realizes rapid and accurate measurement of functional residual volume, reduces the patient's tolerance requirements, improves the efficiency and applicability of measurement, and is especially suitable for critically ill patients.

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Abstract

The invention relates to a functional residual gas amount measuring method and device, equipment and a storage medium. The method comprises the following steps: recording lung electrical impedance change values of a user under a plurality of tidal volumes based on an electrical impedance imaging device to obtain a plurality of tidal volume-lung electrical impedance change value pairs; generating a lung electrical impedance change curve based on the plurality of tidal volume-lung electrical impedance change value pairs, and performing fitting processing on the lung electrical impedance change curve to obtain a fitted lung electrical impedance change curve; acquiring a real-time lung electrical impedance distribution value, and calculating a functional residual gas amount corresponding to the real-time lung electrical impedance distribution value based on the fitted lung electrical impedance change curve; compared with the prior art, the technical scheme of the invention can improve the efficiency and applicability of functional residual gas measurement, so that the method is more suitable for clinical and practical application scenes.
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Description

Technical Field

[0001] The present application relates to the technical field of lung function testing, and in particular to a functional residual capacity measurement method, device, equipment and storage medium. Background Art

[0002] Functional residual capacity (FRC) refers to the volume of gas remaining in the lungs at the end of quiet exhalation when the lungs and thorax are in a static equilibrium state. The measurement of FRC has important clinical significance for lung function assessment, respiratory support adjustment, and disease diagnosis and treatment. By dynamically monitoring FRC, oxygenation management can be optimized and patient prognosis can be improved. Therefore, accurate and real-time assessment of FRC is of great value to clinical work.

[0003] At present, the measurement methods of functional residual capacity mainly include closed-loop method, nitrogen flushing method, helium dilution method and ventilator-based gas volume measurement method; although these methods have been widely used in clinical and scientific research fields, they still have many limitations, which affect the popularity and convenience of practical applications.

[0004] First, existing FRC measurement methods are generally time-consuming, with most technologies requiring several minutes to achieve gas balance, and patients often find it difficult to cooperate for a long time; second, these methods usually rely on complex and high-precision gas analysis equipment, which is not easy to operate at the bedside, limiting the convenience of clinical application; in addition, some methods are less applicable in critically ill patients, especially those with impaired spontaneous breathing ability or receiving mechanical ventilation, making accurate measurement of FRC more difficult. Summary of the invention

[0005] The present application provides a functional residual capacity measurement method, device, equipment and storage medium, which can improve the efficiency and applicability of functional residual capacity measurement.

[0006] In a first aspect, the present application provides a method for measuring functional residual capacity, comprising: based on an impedance imaging device, recording the user's lung impedance change values ​​at multiple tidal volumes to obtain multiple tidal volume-lung impedance change value pairs; based on the multiple tidal volume-lung impedance change value pairs, generating a lung impedance change curve, fitting the lung impedance change curve to obtain a fitted lung impedance change curve; acquiring a real-time lung impedance distribution value, and calculating the functional residual capacity corresponding to the real-time lung impedance distribution value based on the fitted lung impedance change curve.

[0007] In a possible implementation, obtaining a real-time lung electrical impedance distribution value specifically includes: based on an electrical impedance imaging device, continuously obtaining a plurality of lung electrical impedance distribution values, wherein the plurality of lung electrical impedance distribution values ​​are obtained by measuring the lung electrical impedance distribution values ​​of the user at the end of resting exhalation in a plurality of breathing cycles; obtaining the body parameters of the user, and determining the tissue electrical impedance distribution values ​​corresponding to the body parameters, and respectively calculating the differences between the plurality of lung electrical impedance distribution values ​​and the tissue electrical impedance distribution values ​​to obtain a plurality of first electrical impedance distribution differences; averaging the first electrical impedance distribution differences to obtain a lung electrical impedance distribution mean, and using the lung electrical impedance distribution mean as the real-time lung electrical impedance distribution value.

[0008] In a possible implementation, the functional residual capacity corresponding to the real-time pulmonary electrical impedance distribution value is calculated based on the fitted pulmonary electrical impedance change curve, specifically including: inputting the real-time pulmonary electrical impedance distribution value into the fitted pulmonary electrical impedance change formula corresponding to the fitted pulmonary electrical impedance change curve, obtaining the target tidal volume corresponding to the real-time pulmonary electrical impedance distribution value, and using the target tidal volume as the functional residual capacity.

[0009] In a possible implementation, based on an electrical impedance imaging device, the pulmonary electrical impedance change values ​​of the user at multiple tidal volumes are recorded to obtain multiple tidal volume-pulmonary electrical impedance change value pairs, specifically including: based on the electrical impedance imaging device, the pulmonary electrical impedance change values ​​of the user at multiple tidal volumes are recorded, wherein the multiple tidal volumes are based on known tidal volumes introduced by a ventilator and increased in a target step size; the multiple tidal volumes are respectively used as key names, and the pulmonary electrical impedance change values ​​corresponding to the multiple tidal volumes are used as key values, and the key names and the key values ​​are associated to obtain multiple tidal volume-pulmonary electrical impedance change value pairs.

[0010] In a possible implementation, recording the pulmonary electrical impedance change values ​​of the user under multiple tidal volumes specifically includes: obtaining the tidal volume introduced by the ventilator at different times, and obtaining the first pulmonary electrical impedance change value recorded by the electrical impedance imaging device at the different times, using the first pulmonary electrical impedance change value corresponding to the same time as the pulmonary electrical impedance change value under the tidal volume corresponding to the same time, and obtaining the pulmonary electrical impedance change value under the tidal volume corresponding to the user at different times.

[0011] In a possible implementation, a pulmonary impedance change curve is generated based on a plurality of tidal volume-pulmonary impedance change value pairs, specifically comprising: setting the tidal volume in the plurality of tidal volume-pulmonary impedance change value pairs as the x-axis, and setting the pulmonary impedance change value in the plurality of tidal volume-pulmonary impedance change value pairs as the y-axis, determining data points corresponding to each of the plurality of tidal volume-pulmonary impedance change value pairs, and generating the pulmonary impedance change curve based on the data points.

[0012] In a second aspect, the present application provides a functional residual capacity measuring device, comprising: a pulmonary impedance change recording module, a pulmonary impedance change curve generating module and a functional residual capacity calculating module; wherein the pulmonary impedance change recording module is used to record the pulmonary impedance change values ​​of the user at multiple tidal volumes based on an impedance imaging device, and obtain multiple tidal volume-pulmonary impedance change value pairs; the pulmonary impedance change curve generating module is used to generate a pulmonary impedance change curve based on multiple tidal volume-pulmonary impedance change value pairs, and fit the pulmonary impedance change curve to obtain a fitted pulmonary impedance change curve; the functional residual capacity calculating module is used to obtain a real-time pulmonary impedance distribution value, and calculate the functional residual capacity corresponding to the real-time pulmonary impedance distribution value based on the fitted pulmonary impedance change curve.

[0013] In a possible implementation, the functional residual capacity calculation module is used to obtain real-time lung electrical impedance distribution values, specifically including: based on an electrical impedance imaging device, continuously obtaining multiple lung electrical impedance distribution values, wherein the multiple lung electrical impedance distribution values ​​are obtained by measuring the lung electrical impedance distribution values ​​of the user at the end of resting exhalation in multiple breathing cycles; obtaining the user's body parameters, and determining the tissue electrical impedance distribution values ​​corresponding to the body parameters, and respectively calculating the differences between the multiple lung electrical impedance distribution values ​​and the tissue electrical impedance distribution values ​​to obtain multiple first electrical impedance distribution differences; averaging the first electrical impedance distribution differences to obtain a lung electrical impedance distribution mean, and using the lung electrical impedance distribution mean as the real-time lung electrical impedance distribution value.

[0014] In a third aspect, an embodiment of the present application further provides a computer device, which includes a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the above method when executing the computer program.

[0015] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, wherein the storage medium stores a computer program, and the computer program can implement the above method when executed by a processor.

[0016] The embodiments of the present application provide a functional residual capacity measurement method, device, equipment and storage medium, which have the following advantages over the prior art:

[0017] The technical solution of the present application adopts an impedance imaging device to record and analyze the pulmonary impedance change values ​​of the user under multiple tidal volumes. By fitting the pairs of multiple tidal volumes and pulmonary impedance changes, a personalized pulmonary impedance change curve can be obtained, making the measurement more accurate, and can be adjusted and optimized according to the patient's lung state and actual conditions. The functional residual capacity corresponding to the real-time pulmonary impedance distribution value is calculated by fitting the pulmonary impedance change curve. The entire measurement process can obtain results more quickly and instantly, avoiding long waiting times and reducing the user's tolerance requirements; and the functional residual capacity measurement based on impedance imaging does not rely on the user's active cooperation, which can improve the efficiency and applicability of functional residual capacity measurement. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments consistent with the present invention and, together with the description, illustrate embodiments consistent with the present invention. Figure 2 It is used to explain the principle of the present invention.

[0019] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0020] One or more embodiments are exemplarily described by pictures in the corresponding drawings, and these exemplified descriptions do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings represent similar elements, and unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

[0021] Figure 1 It is a flow chart of an embodiment of a functional residual capacity measurement method provided by the present application;

[0022] Figure 2 It is a structural schematic diagram of an embodiment of a functional residual capacity measuring device provided by the present application;

[0023] Figure 3 is a schematic diagram of a pulmonary electrical impedance change curve of an embodiment provided by the present application;

[0024] Figure 4 It is a structural schematic diagram of an electronic device provided by this application. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0026] The disclosure below provides many multiple embodiments or examples to realize multiple structures of the present application. In order to simplify the disclosure of the present application, the parts and settings of specific examples are described below. Of course, they are only examples, and the purpose is not to limit the present application. In addition, the application can repeat reference numbers and / or letters in multiple examples. This repetition is for the purpose of simplification and clarity, and does not itself indicate the relationship between the various embodiments and / or settings discussed.

[0027] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0028] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0029] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0030] As used in this specification and the appended claims, the term "if" may be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined" or "if [described condition or event] is detected" may be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0031] Example 1, see Figure 1 , Figure 1 is a flow chart of an embodiment of a functional residual capacity measurement method provided by the present application, such as Figure 1As shown, the method includes steps 101 to 103, which are specifically as follows:

[0032] Step 101: Based on an electrical impedance imaging device, record the pulmonary electrical impedance change values ​​of the user at multiple tidal volumes to obtain multiple tidal volume-pulmonary electrical impedance change value pairs.

[0033] In one embodiment, based on the electrical impedance imaging device, before recording the change value of the user's lung electrical impedance under multiple tidal volumes, the electrode ring of the electrical impedance imaging device needs to be installed around the user's chest to ensure good contact with the lung area.

[0034] Specifically, the electrical impedance imaging device uses a technology that measures the electrical impedance distribution of the lungs through an electrode array, usually a circle of electrodes around the user's chest. The electrode ring will emit a small current through the chest wall and detect the impedance changes of the current passing through the lung tissue, thereby obtaining imaging data of the lungs.

[0035] Specifically, in order to obtain accurate data, the electrodes must have good contact with the user's chest skin. Any poor contact will cause unstable or distorted signals, thereby affecting data quality.

[0036] In one embodiment, the ventilator needs to be set to a volume control mode or a pressure support mode to accurately adjust the tidal volume.

[0037] Specifically, in the capacity control mode, the ventilator controls breathing with a preset tidal volume (the volume of gas per breath), ensuring that the volume of gas per breath is the same, which is suitable for patients who need to precisely control the amount of gas exchange.

[0038] Specifically, in pressure support mode, the ventilator assists the patient's breathing according to the set pressure and provides a certain amount of pressure support. It is suitable for patients who have spontaneous breathing but need additional help.

[0039] In one embodiment, it is also necessary to ensure that the signals of the ventilator and the electrical impedance imaging device are synchronized to record data at the same time point.

[0040] Specifically, in order to accurately assess the status of the lungs, it is necessary to ensure that the data from the impedance imaging device and the ventilator are synchronized; this means that at the same point in time, the changes in lung impedance recorded by the impedance imaging device must match the tidal volume provided by the ventilator. Synchronized data recording can ensure that during each respiratory cycle, the lung changes captured by the impedance imaging device correspond to the tidal volume set by the ventilator, thereby more accurately analyzing lung function.

[0041] In one embodiment, based on the electrical impedance imaging device, the pulmonary electrical impedance change values ​​of the user at multiple tidal volumes are recorded, wherein the multiple tidal volumes are based on known tidal volumes introduced by a ventilator and increased in a target step size.

[0042] Specifically, when recording the pulmonary electrical impedance change values ​​of the user at multiple tidal volumes, the tidal volume introduced by the ventilator at different times is obtained, and the first pulmonary electrical impedance change value recorded by the electrical impedance imaging device at the different times is obtained, and the first pulmonary electrical impedance change value corresponding to the same time is used as the pulmonary electrical impedance change value under the tidal volume corresponding to the same time, so as to obtain the pulmonary electrical impedance change value under the tidal volume corresponding to the user at different times.

[0043] Specifically, the ventilator sets a known tidal volume, which increases gradually from small to large, and the target step length of each increment is known; preferably, the target step length is 50 ml.

[0044] Specifically, the ventilator increases the tidal volume according to a preset target step size, and gradually introduces the increasing tidal volume into the lungs. After each tidal volume is introduced, the electrical impedance imaging device records the corresponding first lung electrical impedance change value at the same time.

[0045] Specifically, every time the ventilator introduces a new tidal volume, the electrical impedance imaging device will record the pulmonary electrical impedance change value of the lungs at the same time, that is, at the same tidal volume; based on this method, the user obtains the pulmonary electrical impedance change value at the tidal volume corresponding to different times, covering the pulmonary electrical impedance change values ​​at different tidal volumes.

[0046] In one embodiment, the multiple tidal volumes are used as key names, and the pulmonary electrical impedance change values ​​corresponding to the multiple tidal volumes are used as key values. The key names and the key values ​​are associated with each other to obtain multiple tidal volume-pulmonary electrical impedance change value pairs.

[0047] Specifically, by mapping each tidal volume and its corresponding pulmonary electrical impedance change value one by one, a set of "key-value pair" data is formed, so that multiple tidal volumes and pulmonary electrical impedance change values ​​can be systematically associated, which is convenient for subsequent data analysis.

[0048] Step 102: generating a pulmonary electrical impedance change curve based on a plurality of tidal volume-pulmonary electrical impedance change value pairs, and performing fitting processing on the pulmonary electrical impedance change curve to obtain a fitted pulmonary electrical impedance change curve.

[0049] In one embodiment, the tidal volume in the multiple tidal volume-pulmonary electrical impedance change value pairs is set as the x-axis, and the pulmonary electrical impedance change value in the multiple tidal volume-pulmonary electrical impedance change value pairs is set as the y-axis, the data points corresponding to each of the multiple tidal volume-pulmonary electrical impedance change value pairs are determined, and based on the data points, a pulmonary electrical impedance change curve is generated.

[0050] Specifically, the tidal volume and the corresponding pulmonary impedance change value in each pair of tidal volume-pulmonary impedance change value will form a data point. For example: a tidal volume of 100 ml corresponds to a pulmonary impedance change value of 0.5 Ω, forming a data point (100, 0.5); a tidal volume of 200 ml corresponds to a pulmonary impedance change value of 0.8 Ω, forming a data point (200, 0.8); a tidal volume of 300 ml corresponds to a pulmonary impedance change value of 1.2 Ω, forming a data point (300, 1.2); these data points will be marked on the x-axis and y-axis of the chart, indicating the changes in pulmonary impedance at different tidal volumes.

[0051] Specifically, after determining a plurality of data points, the plurality of data points are connected to generate a pulmonary impedance change curve, based on which the trend of pulmonary impedance change with tidal volume can be represented, such as Figure 3 As shown, Figure 3 1 is a schematic diagram of a pulmonary electrical impedance change curve of an embodiment provided by the present application. In the figure, the V value on the x-axis is the tidal volume value, and the Z value on the y-axis is the corresponding pulmonary electrical impedance change value.

[0052] In one embodiment, in actual applications, the obtained pulmonary impedance change curve may show a certain trend, such as linear, nonlinear, exponential change, etc.; in order to better understand the rules of the data and conduct further analysis, the pulmonary impedance change curve is fitted based on a preset fitting algorithm to obtain a fitted pulmonary impedance change curve.

[0053] Specifically, the preset fitting algorithms include but are not limited to linear fitting algorithms, nonlinear fitting algorithms, statistical and optimization methods, etc.

[0054] Specifically, the purpose of fitting is to find a mathematical model so that the model can describe the relationship between data points as accurately as possible; after the fitting is completed, the obtained fitted pulmonary electrical impedance change curve is represented by a certain form of mathematical model, that is, by fitting the pulmonary electrical impedance change formula.

[0055] Specifically, by fitting the pulmonary impedance change curve, fewer parameters can be used to represent the complex pulmonary impedance change trend, avoiding complex original data; and the fitted pulmonary impedance change curve can be used to predict the possible change value of pulmonary impedance under unmeasured tidal volume, thereby helping doctors or researchers make predictions and decisions.

[0056] Step 103: Acquire a real-time pulmonary electrical impedance distribution value, and calculate the functional residual capacity corresponding to the real-time pulmonary electrical impedance distribution value based on the fitted pulmonary electrical impedance change curve.

[0057] In one embodiment, it is determined whether the ventilator is working stably. After determining that the ventilator is working stably, the real-time lung electrical impedance distribution value of the user at the end of resting exhalation is obtained based on an electrical impedance imaging device.

[0058] Specifically, based on the usage time of the ventilator, when the usage time meets the preset usage time threshold, it is determined that the ventilator is working stably; this is because the ventilator is a device used to help the patient breathe, and during the treatment process, the ventilator needs a period of time to work stably to ensure that the patient's breathing support is sufficient and effective.

[0059] Specifically, the resting end-expiration refers to the end of exhalation of the patient in the natural breathing cycle, and the initial lung electrical impedance distribution value at the resting end-expiration refers to the electrical impedance distribution data on the chest wall collected by the electrical impedance imaging device at the end of resting exhalation.

[0060] In one embodiment, based on an impedance imaging device, a plurality of lung impedance distribution values ​​are continuously acquired, wherein the plurality of lung impedance distribution values ​​are acquired by measuring the lung impedance distribution values ​​of the user at the end of resting exhalation in a plurality of breathing cycles; the body parameters of the user are acquired, and the tissue impedance distribution values ​​corresponding to the body parameters are determined, and the differences between the plurality of lung impedance distribution values ​​and the tissue impedance distribution values ​​are respectively calculated to acquire a plurality of first impedance distribution differences; the first impedance distribution differences are averaged to acquire a lung impedance distribution mean, and the lung impedance distribution mean is used as the real-time lung impedance distribution value.

[0061] Specifically, the human body is a complex conductor. In addition to the lungs, the surrounding chest wall muscles, bones, fat and other tissues also contribute to the impedance measurement. Therefore, in order to improve the accuracy of the obtained lung impedance distribution value, it is necessary to subtract the tissue impedance distribution value from the lung impedance distribution value obtained based on the impedance imaging device to avoid the influence of the impedance value of the tissue part.

[0062] Specifically, the user's physical parameters include but are not limited to height, weight, and gender.

[0063] Specifically, the tissue impedance distribution values ​​include but are not limited to spinal tissue impedance distribution values, lung tissue impedance distribution values, lung inhalation tissue impedance distribution values, lung exhalation tissue impedance distribution values, heart (heart chamber) tissue impedance distribution values, main bronchial tissue impedance distribution values ​​and esophageal tissue impedance distribution values.

[0064] Preferably, the tissue electrical impedance distribution value mentioned above can be obtained by searching medical literature or determined based on empirical values.

[0065] Specifically, since the pulmonary electrical impedance distribution value of the lungs may fluctuate slightly during multiple respiratory cycles, in order to reduce measurement errors, when actually calculating the functional residual capacity, averaging the multiple first electrical impedance distribution differences continuously acquired based on the electrical impedance imaging device can obtain a more stable and accurate pulmonary electrical impedance distribution value.

[0066] In one embodiment, the real-time pulmonary electrical impedance distribution value is input into the fitted pulmonary electrical impedance change formula corresponding to the fitted pulmonary electrical impedance change curve to obtain the target tidal volume corresponding to the real-time pulmonary electrical impedance distribution value, and the target tidal volume is used as the functional residual capacity.

[0067] Specifically, by inputting the real-time impedance distribution value obtained after processing into the fitted lung impedance change formula corresponding to the fitted lung impedance change curve, the corresponding target tidal volume can be calculated using the fitted lung impedance change formula corresponding to the fitted lung impedance change curve; this target tidal volume is the functional residual capacity, which reflects the amount of gas remaining in the lungs without additional breathing activity; in this way, doctors can understand the patient's lung gas capacity and ventilation conditions more accurately.

[0068] In summary, the functional residual capacity measurement method provided in the embodiment of the present application, by utilizing the non-invasive, dynamic, and zonal monitoring advantages of electrical impedance imaging equipment, combined with the known tidal volume input provided by the ventilator, provides a non-invasive, real-time, and dynamic method for evaluating lung function, which makes up for the shortcomings of the traditional FRC measurement method, can accurately estimate the functional residual capacity of the lungs, help doctors understand the gas distribution in the lungs, and improve the efficiency and applicability of functional residual capacity measurement.

[0069] Example 2, see Figure 2 , Figure 2 1 is a schematic diagram of the structure of an embodiment of a functional residual capacity measuring device provided by the present application. Corresponding to the above functional residual capacity measuring method, the present application also provides a functional residual capacity measuring device. The functional residual capacity measuring device includes a module for executing the above functional residual capacity measuring method, and the functional residual capacity measuring device can be configured in a desktop computer, a tablet computer, a laptop computer, and other terminals. Specifically, the functional residual capacity measuring device includes a pulmonary electrical impedance change recording module 201, a pulmonary electrical impedance change curve generating module 202, and a functional residual capacity calculating module 203.

[0070] The pulmonary electrical impedance change recording module 201 is used to record the pulmonary electrical impedance change values ​​of the user at multiple tidal volumes based on an electrical impedance imaging device, and obtain multiple tidal volume-pulmonary electrical impedance change value pairs.

[0071] The pulmonary electrical impedance change curve generating module 202 is used to generate a pulmonary electrical impedance change curve based on a plurality of tidal volume-pulmonary electrical impedance change value pairs, and perform fitting processing on the pulmonary electrical impedance change curve to obtain a fitted pulmonary electrical impedance change curve.

[0072] The functional residual capacity calculation module 203 is used to obtain the real-time pulmonary electrical impedance distribution value, and calculate the functional residual capacity corresponding to the real-time pulmonary electrical impedance distribution value based on the fitted pulmonary electrical impedance change curve.

[0073] In one embodiment, the functional residual capacity calculation module 203 is used to obtain real-time lung electrical impedance distribution values, specifically including: based on an electrical impedance imaging device, continuously obtaining multiple lung electrical impedance distribution values, wherein the multiple lung electrical impedance distribution values ​​are obtained by measuring the lung electrical impedance distribution values ​​of the user at the end of resting exhalation in multiple breathing cycles; obtaining the user's body parameters, and determining the tissue electrical impedance distribution values ​​corresponding to the body parameters, and respectively calculating the differences between the multiple lung electrical impedance distribution values ​​and the tissue electrical impedance distribution values ​​to obtain multiple first electrical impedance distribution differences; averaging the first electrical impedance distribution differences to obtain a lung electrical impedance distribution mean, and using the lung electrical impedance distribution mean as the real-time lung electrical impedance distribution value.

[0074] In one embodiment, the functional residual capacity calculation module 203 is used to calculate the functional residual capacity corresponding to the real-time pulmonary electrical impedance distribution value based on the fitted pulmonary electrical impedance change curve, specifically including: inputting the real-time pulmonary electrical impedance distribution value into the fitted pulmonary electrical impedance change formula corresponding to the fitted pulmonary electrical impedance change curve, obtaining the target tidal volume corresponding to the real-time pulmonary electrical impedance distribution value, and using the target tidal volume as the functional residual capacity.

[0075] In one embodiment, the pulmonary electrical impedance change recording module 201 is used to record the pulmonary electrical impedance change values ​​of the user at multiple tidal volumes based on an electrical impedance imaging device to obtain multiple tidal volume-pulmonary electrical impedance change value pairs, specifically including: based on the electrical impedance imaging device, recording the pulmonary electrical impedance change values ​​of the user at multiple tidal volumes; using the multiple tidal volumes as key names, and the pulmonary electrical impedance change values ​​corresponding to the multiple tidal volumes as key values, and associating the key names and the key values ​​to obtain multiple tidal volume-pulmonary electrical impedance change value pairs.

[0076] In one embodiment, the pulmonary impedance change recording module 201 is used to record the pulmonary impedance change values ​​of the user under multiple tidal volumes, specifically including: obtaining the tidal volume introduced by the ventilator at different times, and obtaining the first pulmonary impedance change value recorded by the impedance imaging device at the different times, and using the first pulmonary impedance change value corresponding to the same time as the pulmonary impedance change value under the tidal volume corresponding to the same time, to obtain the pulmonary impedance change value of the user under the tidal volume corresponding to different times.

[0077] In one embodiment, the pulmonary impedance change curve generating module 202 is used to generate a pulmonary impedance change curve based on a plurality of tidal volume-pulmonary impedance change value pairs, specifically comprising: setting the tidal volume in the plurality of tidal volume-pulmonary impedance change value pairs as the x-axis, and setting the pulmonary impedance change value in the plurality of tidal volume-pulmonary impedance change value pairs as the y-axis, determining the data points corresponding to each of the plurality of tidal volume-pulmonary impedance change value pairs, and generating the pulmonary impedance change curve based on the data points.

[0078] The functional residual capacity measuring device can implement the functional residual capacity measuring method of the method embodiment. The options in the method embodiment are also applicable to this embodiment and will not be described in detail here.

[0079] like Figure 4 As shown, Figure 4 It is a structural diagram of an electronic device provided by the present application; it includes a processor 111, a communication interface 112, a memory 113 and a communication bus 114, wherein the processor 111, the communication interface 112, and the memory 113 communicate with each other through the communication bus 114, and the memory 113 is used to store computer programs.

[0080] In one embodiment of the present application, the processor 111 is used to implement the functional residual capacity measurement method provided by any one of the aforementioned method embodiments when executing the program stored in the memory 113.

[0081] It is understood by those skilled in the art that all or part of the processes in the method for implementing the above embodiment can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a storage medium, which is a computer-readable storage medium. The computer program is executed by at least one processor in the computer system to implement the process steps of the embodiment of the above method.

[0082] Therefore, an embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the functional residual capacity measurement method provided in any of the aforementioned method embodiments are implemented.

[0083] The storage medium is a physical, non-transient storage medium, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disk, etc., which can store program codes. The computer-readable storage medium can be non-volatile or volatile.

[0084] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use multiple methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0085] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of each unit is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0086] The steps in the method of the embodiment of the present application can be adjusted in order, combined and deleted according to actual needs. The units in the device of the embodiment of the present application can be combined, divided and deleted according to actual needs. In addition, the functional units in the various embodiments of the present application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0087] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, terminal, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application.

[0088] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0089] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

[0090] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A method for measuring functional residual capacity, characterized in that: include: Based on the electrical impedance imaging device, the pulmonary electrical impedance change values ​​of the user at multiple tidal volumes are recorded to obtain multiple tidal volume-pulmonary electrical impedance change value pairs; Based on a plurality of tidal volume-pulmonary electrical impedance change value pairs, a pulmonary electrical impedance change curve is generated, and a fitting process is performed on the pulmonary electrical impedance change curve to obtain a fitted pulmonary electrical impedance change curve; A real-time pulmonary electrical impedance distribution value is obtained, and a functional residual capacity corresponding to the real-time pulmonary electrical impedance distribution value is calculated based on the fitted pulmonary electrical impedance change curve.

2. The functional residual capacity measuring method according to claim 1, characterized in that: Obtain real-time lung electrical impedance distribution values, including: Based on the electrical impedance imaging device, a plurality of pulmonary electrical impedance distribution values ​​are continuously acquired, wherein the plurality of pulmonary electrical impedance distribution values ​​are obtained by measuring the pulmonary electrical impedance distribution values ​​of the user at the end of resting exhalation in a plurality of breathing cycles; Acquire the user's body parameters, determine the tissue electrical impedance distribution values ​​corresponding to the body parameters, and respectively calculate the differences between the multiple lung electrical impedance distribution values ​​and the tissue electrical impedance distribution values ​​to obtain multiple first electrical impedance distribution difference values; The first electrical impedance distribution difference is averaged to obtain a lung electrical impedance distribution mean, and the lung electrical impedance distribution mean is used as the real-time lung electrical impedance distribution value.

3. The functional residual capacity measuring method according to claim 1, characterized in that: Calculating the functional residual capacity corresponding to the real-time pulmonary electrical impedance distribution value based on the fitted pulmonary electrical impedance change curve specifically includes: The real-time pulmonary electrical impedance distribution value is input into a fitted pulmonary electrical impedance change formula corresponding to the fitted pulmonary electrical impedance change curve to obtain a target tidal volume corresponding to the real-time pulmonary electrical impedance distribution value, and the target tidal volume is used as the functional residual capacity.

4. The functional residual capacity measurement method according to claim 1, characterized in that: Based on the electrical impedance imaging device, the pulmonary electrical impedance change values ​​of the user at multiple tidal volumes are recorded to obtain multiple tidal volume-pulmonary electrical impedance change value pairs, specifically including: Based on the electrical impedance imaging device, recording the pulmonary electrical impedance change values ​​of the user under multiple tidal volumes, wherein the multiple tidal volumes are based on known tidal volumes introduced by a ventilator and increased in increments with a target step length; The multiple tidal volumes are respectively used as key names, and the pulmonary electrical impedance change values ​​corresponding to the multiple tidal volumes are used as key values, and the key names and the key values ​​are associated to obtain multiple tidal volume-pulmonary electrical impedance change value pairs.

5. The functional residual capacity measuring method according to claim 4, characterized in that: Record the user's lung electrical impedance changes at multiple tidal volumes, including: The tidal volume introduced by the ventilator at different times is obtained, and the first lung electrical impedance change value recorded by the electrical impedance imaging device at the different times is obtained, and the first lung electrical impedance change value corresponding to the same time is used as the lung electrical impedance change value under the tidal volume corresponding to the same time, so as to obtain the lung electrical impedance change value under the tidal volume corresponding to the user at different times.

6. The functional residual capacity measuring method according to claim 1, characterized in that: Based on multiple tidal volume-pulmonary electrical impedance change value pairs, a pulmonary electrical impedance change curve is generated, specifically including: The tidal volume in the multiple tidal volume-pulmonary electrical impedance change value pairs is set as the x-axis, and the pulmonary electrical impedance change value in the multiple tidal volume-pulmonary electrical impedance change value pairs is set as the y-axis, the data points corresponding to each of the multiple tidal volume-pulmonary electrical impedance change value pairs are determined, and a pulmonary electrical impedance change curve is generated based on the data points.

7. A functional residual capacity measuring device, characterized in that: include: Pulmonary impedance change recording module, pulmonary impedance change curve generating module and functional residual capacity calculating module; The pulmonary electrical impedance change recording module is used to record the pulmonary electrical impedance change values ​​of the user at multiple tidal volumes based on the electrical impedance imaging device, and obtain multiple tidal volume-pulmonary electrical impedance change value pairs; The pulmonary electrical impedance change curve generating module is used to generate a pulmonary electrical impedance change curve based on a plurality of tidal volume-pulmonary electrical impedance change value pairs, and perform fitting processing on the pulmonary electrical impedance change curve to obtain a fitted pulmonary electrical impedance change curve; The functional residual capacity calculation module is used to obtain the real-time pulmonary electrical impedance distribution value, and calculate the functional residual capacity corresponding to the real-time pulmonary electrical impedance distribution value based on the fitted pulmonary electrical impedance change curve.

8. The functional residual capacity measuring device according to claim 7, characterized in that: The functional residual capacity calculation module is used to obtain the real-time pulmonary electrical impedance distribution value, specifically including: Based on the electrical impedance imaging device, a plurality of pulmonary electrical impedance distribution values ​​are continuously acquired, wherein the plurality of pulmonary electrical impedance distribution values ​​are obtained by measuring the pulmonary electrical impedance distribution values ​​of the user at the end of resting exhalation in a plurality of breathing cycles; Acquire the user's body parameters, determine the tissue electrical impedance distribution values ​​corresponding to the body parameters, and respectively calculate the differences between the multiple lung electrical impedance distribution values ​​and the tissue electrical impedance distribution values ​​to obtain multiple first electrical impedance distribution difference values; The first electrical impedance distribution difference is averaged to obtain a lung electrical impedance distribution mean, and the lung electrical impedance distribution mean is used as the real-time lung electrical impedance distribution value.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the method according to any one of claims 1 to 6 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 6 can be implemented.

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