An atomized breath guidance method, system, device, and storage medium

Abstract

The application discloses an atomized respiratory guidance method, system, device and storage medium. The atomized respiratory guidance method comprises the following steps: collecting a respiratory original signal in an atomization process, and preprocessing the respiratory original signal to obtain a preprocessed respiratory signal; determining an inhalation characteristic parameter set based on the preprocessed respiratory signal; determining a lung deposition grade by a weighted scoring method based on the inhalation characteristic parameter set; determining a guidance prompt strategy based on the lung deposition grade, and outputting the guidance prompt strategy, so that the lung deposition effect is improved.

Description

Technical Field

[0001] This application relates to the field of atomized breathing guidance technology, and in particular to an atomized breathing guidance method, system, device and storage medium. Background Technology

[0002] Currently, nebulization therapy generally relies on manual guidance from medical staff or patient self-operation, lacking real-time acquisition and scientific analysis of respiratory signals during nebulization. This makes it impossible to accurately determine whether the patient's inhalation behavior is appropriate and whether the pulmonary deposition effect meets treatment requirements. Existing technologies often only achieve simple respiratory signal acquisition or adjust parameters such as mist release rate and particle size, without in-depth research into the correlation between individual patient respiratory characteristics and pulmonary deposition effect. Furthermore, a scientific pulmonary deposition effect evaluation system and corresponding guidance mechanisms have not been established, resulting in poor pulmonary deposition effects. Summary of the Invention

[0003] This application aims to at least address the technical problems existing in the prior art. To this end, this application proposes a nebulized breathing guidance method, system, device, and storage medium, which can assess the lung deposition level and provide targeted guidance and prompting strategies, thereby improving the lung deposition effect.

[0004] A first aspect of this application provides a method for guiding breathing through nebulization, comprising the following steps: When collecting raw respiratory signals during the nebulization process, the raw respiratory signals are preprocessed to obtain preprocessed respiratory signals. Based on the preprocessed respiratory signal, a set of inhalation characteristic parameters is determined; Based on the aforementioned set of inhalation characteristic parameters, the lung sedimentation level is determined using a weighted scoring method; Based on the lung deposition level, a guidance prompt strategy is determined and the guidance prompt strategy is output.

[0005] The atomized breathing guidance method according to the embodiments of this application has at least the following beneficial effects: This application preprocesses the collected raw respiratory signals to effectively filter out irrelevant interference signals such as environmental noise and nebulizer operation interference, improving the purity and accuracy of the respiratory signals. This ensures that the preprocessed respiratory signals can truly and objectively reflect the patient's actual inhalation state during nebulization. Based on the preprocessed respiratory signals, an inhalation characteristic parameter set is determined, which can comprehensively capture the key features of the patient's inhalation behavior. Then, based on the inhalation characteristic parameter set, a weighted scoring method is used to determine the lung deposition level, which can quickly and intuitively quantify the quality of lung deposition effect and achieve real-time evaluation of lung deposition effect during nebulization treatment. Finally, based on the lung deposition level, a guidance and prompting strategy is determined and output, providing patients with targeted guidance and prompting strategies. This allows patients to be aware of the deficiencies in their inhalation behavior in real time, clarify the direction of adjustment, and guide patients to optimize their inhalation behavior in a timely manner, thereby improving the lung deposition effect.

[0006] A second aspect of this application provides a nebulized breathing guidance system, the nebulized breathing guidance system comprising: The data construction module is used to preprocess the raw breathing signals during the nebulization process to obtain preprocessed breathing signals. An inhalation characteristic parameter set determination module is used to determine an inhalation characteristic parameter set based on the preprocessed respiratory signal; The scoring module is used to determine the lung sedimentation effect score value based on the inhalation feature parameter set using a weighted scoring method; and to determine the score level based on the lung sedimentation effect score value and a preset level threshold. The guidance prompt strategy output module is used to determine the guidance prompt strategy based on the lung sedimentation effect score and the score level, and output the guidance prompt strategy.

[0007] This system preprocesses the acquired raw respiratory signals to effectively filter out irrelevant interference signals such as environmental noise and nebulizer operation, improving the purity and accuracy of the respiratory signals. This ensures that the preprocessed respiratory signals accurately and objectively reflect the patient's actual inhalation state during nebulization. Based on the preprocessed respiratory signals, an inhalation characteristic parameter set is determined, comprehensively capturing key features of the patient's inhalation behavior. Then, based on the inhalation characteristic parameter set, a weighted scoring method is used to determine the lung deposition level, enabling rapid and intuitive quantification of the lung deposition effect and real-time assessment of the lung deposition effect during nebulization therapy. Finally, based on the lung deposition level, a guidance and prompting strategy is determined and output, providing patients with targeted guidance and prompting strategies. This allows patients to be aware of their inhalation behavior deficiencies in real time, clarify the direction for adjustment, and guide them to optimize their inhalation behavior in a timely manner, thereby improving the lung deposition effect.

[0008] A third aspect of this application provides an electronic device including at least one controller and a memory for communicatively connecting to the controller; the memory stores instructions executable by the at least one controller to cause the at least one controller to perform a nebulized breathing guidance method as described in the first aspect of this application.

[0009] A fourth aspect of this application provides a computer-readable storage medium storing computer-executable instructions for causing a computer to perform a nebulized breathing guidance method as described in the first aspect of this application.

[0010] It should be noted that the beneficial effects of the third and fourth aspects of this application compared with the prior art are the same as the beneficial effects of the above-mentioned nebulized breathing guidance method compared with the prior art, and will not be described in detail here.

[0011] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0012] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is a schematic flowchart of an embodiment of the nebulized breathing guidance method provided in this application; Figure 2 This is an experimental schematic diagram of an embodiment of the nebulized breathing guidance method provided in this application; Figure 3 This is a schematic diagram of an embodiment of the atomized breathing guidance system provided in this application; Figure 4 This is a schematic diagram of the structure of an embodiment of the electronic device provided in this application. Detailed Implementation

[0013] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0014] In the description of this application, the use of terms such as "first," "second," etc., is for the purpose of distinguishing technical features only and should not be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated or the order of the technical features indicated.

[0015] In the description of this application, it should be understood that the orientation descriptions, such as up, down, etc., are based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application.

[0016] In the description of this application, it should be noted that, unless otherwise explicitly defined, terms such as "setup," "installation," and "connection" should be interpreted broadly, and those skilled in the art can reasonably determine the specific meaning of the above terms in this application in conjunction with the specific content of the technical solution.

[0017] Currently, nebulization therapy generally relies on manual guidance from medical staff or patient self-operation, lacking real-time acquisition and scientific analysis of respiratory signals during nebulization. This makes it impossible to accurately determine whether the patient's inhalation behavior is appropriate and whether the pulmonary deposition effect meets treatment requirements. Existing technologies often only achieve simple respiratory signal acquisition or adjust parameters such as mist release rate and particle size, without in-depth research into the correlation between individual patient respiratory characteristics and pulmonary deposition effect. Furthermore, a scientific pulmonary deposition effect evaluation system and corresponding guidance mechanisms have not been established, resulting in poor pulmonary deposition effects.

[0018] To address the aforementioned technical deficiencies, embodiments of this application provide a method, system, device, and storage medium for atomized breathing guidance.

[0019] Please see Figures 1 to 2 This is a flowchart illustrating a nebulized breathing guidance method provided in an embodiment of this application. This method is applied to an electronic device, such as a server. Figure 1 As shown, this nebulized breathing guidance method includes: Step S101: Under the condition of collecting the original breathing signal during the nebulization process, preprocess the original breathing signal to obtain the preprocessed breathing signal; The aforementioned raw respiratory signals may include airflow signals, oral pressure, respiratory acoustic signals, chest and abdominal movement signals, exhaled carbon dioxide concentration, and sealing signals.

[0020] Step S102: Determine the set of inhalation characteristic parameters based on the pre-processed respiratory signals; Step S103: Based on the inhalation characteristic parameter set, determine the lung sedimentation level using a weighted scoring method; Step S104: Based on the lung deposition level, determine the guidance prompt strategy and output the guidance prompt strategy.

[0021] This application preprocesses the collected raw respiratory signals to effectively filter out irrelevant interference signals such as environmental noise and nebulizer operation interference, improving the purity and accuracy of the respiratory signals. This ensures that the preprocessed respiratory signals can truly and objectively reflect the patient's actual inhalation state during nebulization. Based on the preprocessed respiratory signals, an inhalation characteristic parameter set is determined, which can comprehensively capture the key features of the patient's inhalation behavior. Then, based on the inhalation characteristic parameter set, a weighted scoring method is used to determine the lung deposition level, which can quickly and intuitively quantify the quality of lung deposition effect and achieve real-time evaluation of lung deposition effect during nebulization treatment. Finally, based on the lung deposition level, a guidance and prompting strategy is determined and output, providing patients with targeted guidance and prompting strategies. This allows patients to be aware of the deficiencies in their inhalation behavior in real time, clarify the direction of adjustment, and guide patients to optimize their inhalation behavior in a timely manner, thereby improving the lung deposition effect.

[0022] In some embodiments, the method may further include steps S201 to S202: Step S201: Generate an inhalation report based on the inhalation characteristic parameter set, lung sedimentation level, and guidance prompting strategy; In step S202, the above-mentioned generation of an inhalation report based on the inhalation characteristic parameter set, lung sedimentation level, and guidance prompting strategy can be achieved by writing the inhalation characteristic parameter set, lung sedimentation level, and guidance prompting strategy into a report template pre-set according to actual needs to generate an inhalation report.

[0023] Step S202: Store the inhalation report.

[0024] In step S202, storing the inhalation report can be done by storing the inhalation report in a storage area pre-set according to actual needs.

[0025] This application generates inhalation reports based on inhalation characteristic parameter sets, lung sedimentation levels, and guidance prompts. This enables the full data-driven and visualized presentation of the nebulization treatment process, allowing patients and medical staff to clearly understand the details of each nebulization treatment. By storing inhalation reports, the application achieves long-term retention and traceability of patient nebulization treatment data, forming a complete personal nebulization treatment file. This facilitates medical staff to regularly review the patient's treatment process, analyze changes in the patient's inhalation behavior, and assess the improvement in lung sedimentation effects, providing data support for the development and adjustment of personalized treatment plans.

[0026] In some embodiments, step S101 may include steps S301 to S306: Step S301: Collect airflow signal using a flow sensor; The airflow signal mentioned above can be bidirectional, with a positive direction representing inhalation and a negative direction representing exhalation.

[0027] Step S302: Collect the port pressure using a pressure sensor; Step S303: Acquire respiratory acoustic signals using an acoustic sensor; The aforementioned acoustic sensor can be a microphone, and the aforementioned respiratory acoustic signals can be used to identify inhalation or exhalation phases, respiratory rate, cough events, or speech events.

[0028] Step S304: Acquire chest and abdominal motion signals using a chest and abdominal motion sensor; The aforementioned chest and abdominal motion signals can be used to infer the trends in respiratory phase, respiratory rate, and relative respiratory depth.

[0029] Step S305: Collect the carbon dioxide concentration of exhaled gas using a carbon dioxide sensor; The carbon dioxide concentration mentioned above can be used to determine the expiratory phase, the boundary of the respiratory cycle, and the position of the end of expiration.

[0030] Step S306: Collect sealing signals using a sealing tester.

[0031] The aforementioned sealing tester can also output the user's wearing status.

[0032] The aforementioned sealing signal can be used to determine if there is an air leak or if the garment is not worn correctly.

[0033] Specifically, the aforementioned raw respiratory signals may also include acceleration, temperature, and humidity. Acceleration can be acquired through an inertial measurement unit (IMU), and temperature and humidity can be acquired through a temperature and humidity sensor. Temperature and humidity can be used to help identify the inhalation or exhalation phase (the difference between inhaled ambient air and exhaled warm and humid air) and to estimate the tendency of tubing condensation / blockage.

[0034] It should be noted that the aforementioned sensors and sealing testers can be placed on mouthpieces, masks, tubing, atomizer bodies, wearable straps, or external devices.

[0035] This application collects raw respiratory signals, including airflow signals, oral pressure, respiratory acoustic signals, chest and abdominal movement signals, exhaled carbon dioxide concentration, and sealing signals, thereby providing more comprehensive and accurate data for subsequent processes and improving lung sedimentation.

[0036] In some embodiments, step S101 may include steps S401 to S405: Step S401: Filter the raw respiratory signal to obtain the filtered respiratory signal; Step S402: Perform baseline correction on the filtered respiratory signal to obtain the baseline-corrected respiratory signal; Step S403: Timestamp-align the baseline-corrected respiratory signal to obtain the timestamp-aligned respiratory signal; Step S404: After the timestamp is aligned, the respiratory signal is segmented according to the preset time window length value to obtain the segmented respiratory signal; The above-mentioned preset time window length value can be a value that can be preset according to actual needs.

[0037] Step S405: Perform phase recognition on the segmented respiratory signal to obtain the phase-recognized respiratory signal, and use the phase-recognized respiratory signal as the preprocessed respiratory signal. The phase-recognized respiratory signal includes the inspiratory phase respiratory signal, the expiratory phase respiratory signal, and the pause phase respiratory signal.

[0038] In step S405, the phase recognition of the segmented breathing signal obtained above can be as follows: if the airflow rate of the segmented breathing signal is greater than a first threshold preset according to actual needs, the inspiratory phase is taken as the phase recognition result of the segmented breathing signal (i.e., inspiratory breathing signal); if the airflow rate of the segmented breathing signal is less than the negative value of the first threshold preset according to actual needs, the expiratory phase is taken as the phase recognition result of the segmented breathing signal (i.e., expiratory breathing signal); if the airflow rate of the segmented breathing signal is less than or equal to the absolute value of the first threshold preset according to actual needs, and the duration of the airflow rate of the segmented breathing signal being less than or equal to the absolute value of the first threshold preset according to actual needs (the duration can be pre-acquired) is greater than the minimum duration threshold preset according to actual needs, the pause phase is taken as the phase recognition result of the segmented breathing signal (i.e., pause breathing signal).

[0039] This application obtains a preprocessed respiratory signal by preprocessing the raw respiratory signal. In some embodiments, step S102 may include steps S501 to S505: Step S501: Based on the pre-processed respiratory signal, determine the peak inspiratory flow rate, inhalation volume, respiratory rate, inspiratory duration, expiratory duration, inspiratory-expiratory ratio, and number of cough events for each segment; In step S501, the determination of the peak inspiratory flow rate, inhalation volume, respiratory rate, inspiratory duration, expiratory duration, inspiratory-expiratory ratio, and number of cough events for each segment based on the preprocessed respiratory signal can be achieved by taking the maximum value of the airflow signal for each segment as the peak inspiratory flow rate, integrating the airflow signal of the inspiratory phase of each segment (it should be noted that the segment here is obtained by dividing the airflow signal according to a preset time window length value) to obtain the inhalation volume (AIVC), extracting the respiratory rate, inspiratory duration, and expiratory duration of the airflow signal for each segment, multiplying the respiratory rate by sixty times the preset time window length value to obtain the respiratory rate, dividing the inspiratory duration by the expiratory duration to obtain the inspiratory-expiratory ratio, and extracting the number of cough events of the airflow signal for each segment.

[0040] Step S502: Use the peak inspiratory flow rate, inhalation volume, respiratory rate, inspiratory duration, expiratory duration, inspiratory-expiratory ratio, and number of cough events as the inhalation characteristic parameter set for each segment.

[0041] The aforementioned set of inhalation characteristic parameters may also include the sealing index in the sealing signal.

[0042] This application uses peak inspiratory flow rate, inhalation volume, respiratory rate, inspiratory duration, expiratory duration, inspiratory-expiratory ratio, and number of cough events as the inhalation characteristic parameter set for each segment, thereby providing more accurate and concise data for subsequent treatment and improving the lung sedimentation effect.

[0043] In some embodiments, step S103 may include steps S601 to S603: Step S601: Determine the sub-score value of each inhalation characteristic parameter in the inhalation characteristic parameter set for each segment; In step S601, the sub-score value of each inhalation feature parameter in the inhalation feature parameter set of each segment can be obtained by matching each inhalation feature parameter in the inhalation feature parameter set of each segment with its corresponding pre-set scoring rule according to actual needs (the scoring rule can be a pre-set value range and its corresponding sub-score value).

[0044] Step S602: Based on the sub-score values ​​and preset weight coefficient values, determine the lung sedimentation effect score for each segment; The aforementioned preset weight coefficient values ​​can be pre-set according to actual needs.

[0045] In step S602, the lung sedimentation effect score for each segment is determined by multiplying the sub-score and the corresponding preset weight coefficient, and then summing all the product values ​​to obtain the lung sedimentation effect score for each segment. The sum of the preset weight coefficient values ​​corresponding to all inhalation characteristic parameters is one.

[0046] Step S603: Determine the scoring level of each segment based on the lung sedimentation effect score and the preset level threshold.

[0047] The aforementioned preset level thresholds can be values ​​that are pre-set according to actual needs.

[0048] The rating levels mentioned above can include good and failing.

[0049] In step S603, the above-mentioned determination of the rating level for each segment based on the lung sedimentation effect score and the preset level threshold can be as follows: if the lung sedimentation effect score of a certain segment is less than or equal to the preset level threshold, then the score level of that segment is "fail"; if the lung sedimentation effect score of a certain segment is greater than the preset level threshold, then the score level of that segment is "good".

[0050] This application determines the scoring level of each segment based on the lung sedimentation effect score and preset level threshold, which can quickly and intuitively quantify the quality of the lung sedimentation effect and realize real-time evaluation of the lung sedimentation effect during nebulization therapy.

[0051] In some embodiments, step S104 may include steps S701 to S702: Step S701: Based on the sub-score, lung deposition level and preset rule base, determine the guidance prompt strategy for each segment using the rule engine method; In step S701, the above-mentioned guidance prompt strategy for each segment based on sub-score values, lung deposition levels, and preset rule bases can be obtained by matching sub-score values ​​and lung deposition levels with preset rule bases using a rule engine method.

[0052] Specifically, when the peak inhalation flow rate is greater than the maximum flow rate threshold preset according to actual needs, a "slow inhalation" or "slowed-down inhalation" guidance prompt strategy will be used; when the inhalation volume is less than the volume threshold preset according to actual needs, the progress indicator ring will display "target inhalation volume", and if it is not reached, it will remain in "not full" as a guidance prompt strategy.

[0053] Step S702: Based on the guidance prompt strategy and the preset rule base, and with the output end determined by the rule engine method, the guidance prompt strategy is output through the output end.

[0054] In step S702, when the output terminal is determined by the rule engine method based on the guidance prompt strategy and the preset rule base, the guidance prompt strategy can be output through the output terminal by matching the guidance prompt strategy with the preset rule base through the rule engine method to obtain the output terminal.

[0055] Specifically, breathing rhythm can be expressed through LED output, using the color, brightness, flashing frequency, direction of light strip flow, and progress of light rings; it can also be expressed through screen output, which can display real-time breathing curves, scores, and levels; and it can also be expressed through audio output, such as through voice prompts (slow inhale, deep inhale, maintain rhythm, or pause at the end of inhale) and beat sounds.

[0056] This application uses a rule engine method to determine the guidance and prompting strategy for each segment based on sub-scores, lung sedimentation levels, and a preset rule base, and outputs the guidance and prompting strategy. This provides patients with targeted guidance and prompting strategies, allowing them to be aware of the deficiencies in their inhalation behavior in real time, clarify the direction of adjustment, and guide them to optimize their inhalation behavior in a timely manner, thereby improving the lung sedimentation effect.

[0057] Additionally, refer to Figure 3 One embodiment of this application provides a nebulized breathing guidance system, including a data construction module 1100, an inhalation characteristic parameter set determination module 1200, a scoring module 1300, and a guidance prompt strategy output module 1400, wherein: The data construction module 1100 is used to preprocess the raw respiratory signals during the nebulization process to obtain preprocessed respiratory signals. The inhalation characteristic parameter set determination module 1200 is used to determine the inhalation characteristic parameter set based on the pre-processed respiratory signal; The scoring module 1300 is used to determine the lung sedimentation effect score based on the inhalation feature parameter set using a weighted scoring method; and to determine the score level based on the lung sedimentation effect score and a preset level threshold. The guidance prompt strategy output module 1400 is used to determine the guidance prompt strategy based on the lung sedimentation effect score and score level, and output the guidance prompt strategy.

[0058] This system preprocesses the acquired raw respiratory signals to effectively filter out irrelevant interference signals such as environmental noise and nebulizer operation, improving the purity and accuracy of the respiratory signals. This ensures that the preprocessed respiratory signals accurately and objectively reflect the patient's actual inhalation state during nebulization. Based on the preprocessed respiratory signals, an inhalation characteristic parameter set is determined, comprehensively capturing key features of the patient's inhalation behavior. Then, based on the inhalation characteristic parameter set, a weighted scoring method is used to determine the lung deposition level, enabling rapid and intuitive quantification of the lung deposition effect and real-time assessment of the lung deposition effect during nebulization therapy. Finally, based on the lung deposition level, a guidance and prompting strategy is determined and output, providing patients with targeted guidance and prompting strategies. This allows patients to be aware of their inhalation behavior deficiencies in real time, clarify the direction for adjustment, and guide them to optimize their inhalation behavior in a timely manner, thereby improving the lung deposition effect.

[0059] It should be noted that the system embodiments described above are based on the same inventive concept as the method embodiments described above. Therefore, the relevant content of the method embodiments described above is also applicable to the system embodiments described above, and will not be repeated here.

[0060] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of related data must comply with relevant regulations. The acquisition, storage, use and processing of data in the technical solution of this application all comply with the relevant provisions of national laws and regulations.

[0061] like Figure 4 One embodiment of this application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the above-described nebulization breathing guidance method. The electronic device includes: At least one battery; At least one memory; At least one processor; At least one program; The program is stored in memory, and the processor executes at least one program to implement the above-described nebulization breathing guidance method of this disclosure.

[0062] Electronic devices can be any smart terminal, including mobile phones, tablets, personal digital assistants (PDAs), and in-vehicle computers.

[0063] The electronic devices according to embodiments of this application will now be described in detail.

[0064] The processor 1600 can be implemented using a general-purpose central processing unit (CPU), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this disclosure. The memory 1700 can be implemented as a read-only memory (ROM), static storage device, dynamic storage device, or random access memory (RAM). The memory 1700 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented by software or firmware, the relevant program code is stored in the memory 1700 and is called and executed by the processor 1600 to perform a nebulized breathing guidance method according to an embodiment of this disclosure.

[0065] The input / output interface 1800 is used to implement information input and output. The communication interface 1900 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, Ethernet cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.). Bus 2000 transmits information between various components of the device (e.g., processor 1600, memory 1700, input / output interface 1800, and communication interface 1900); The processor 1600, memory 1700, input / output interface 1800 and communication interface 1900 are connected to each other within the device via bus 2000.

[0066] This disclosure also provides a storage medium, which is a computer-readable storage medium storing computer-executable instructions for causing a computer to execute the detection method of the pressurized water reactor containment pressure control system described above.

[0067] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0068] The above is a detailed description of the preferred embodiments of this application. However, the embodiments of this application are not limited to the above-described implementation methods. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the embodiments of this application. All such equivalent modifications or substitutions are included within the scope defined by the claims of the embodiments of this application.

Claims

1. A method for guiding breathing through nebulization, characterized in that, The nebulized breathing guidance method includes: When collecting raw respiratory signals during the nebulization process, the raw respiratory signals are preprocessed to obtain preprocessed respiratory signals. Based on the preprocessed respiratory signal, a set of inhalation characteristic parameters is determined; Based on the aforementioned set of inhalation characteristic parameters, the lung sedimentation level is determined using a weighted scoring method; Based on the lung deposition level, a guidance prompt strategy is determined and the guidance prompt strategy is output.

2. The atomized breathing guidance method according to claim 1, characterized in that, The method further includes: An inhalation report is generated based on the inhalation feature parameter set, the lung sedimentation level, and the guidance prompting strategy; Store the inhalation report.

3. The atomized breathing guidance method according to claim 1, characterized in that, The raw respiratory signals include airflow rate signals, oral pressure, respiratory acoustic signals, chest and abdominal movement signals, exhaled carbon dioxide concentration, and sealing signals. The raw respiratory signals acquired during the nebulization process include: Airflow signal is acquired using a flow sensor; The pressure at the port is collected using a pressure sensor; Acoustic signals of respiration are collected using acoustic sensors; Chest and abdominal motion signals are collected using a chest and abdominal motion sensor. The carbon dioxide concentration in exhaled breath is collected using a carbon dioxide sensor; The sealing signal is collected using a sealing tester.

4. The atomized breathing guidance method according to claim 1, characterized in that, The preprocessing of the raw respiratory signal to obtain the preprocessed respiratory signal includes: The original respiratory signal is filtered to obtain a filtered respiratory signal. Baseline correction is performed on the filtered respiratory signal to obtain a baseline-corrected respiratory signal; The baseline-corrected respiratory signal is timestamped to obtain the timestamped respiratory signal. The timestamp-aligned respiratory signal is segmented according to a preset time window length value to obtain a segmented respiratory signal. Phase identification is performed on the segmented respiratory signal to obtain a phase-identified respiratory signal, and the phase-identified respiratory signal is used as the preprocessed respiratory signal, wherein the phase-identified respiratory signal includes an inspiratory phase respiratory signal, an expiratory phase respiratory signal, and a pause phase respiratory signal.

5. The atomized breathing guidance method according to claim 4, characterized in that, The determination of the inhalation characteristic parameter set based on the preprocessed respiratory signal includes: Based on the pre-processed respiratory signals, the peak inspiratory flow rate, inhalation volume, respiratory rate, inspiratory duration, expiratory duration, inspiratory-to-expiratory ratio, and number of cough events for each segment are determined. The peak inspiratory flow rate, inhalation volume, respiratory rate, inspiratory duration, expiratory duration, inspiratory-to-expiratory ratio, and number of cough events are used as the set of inhalation characteristic parameters for each segment.

6. The atomized breathing guidance method according to claim 5, characterized in that, The determination of lung sedimentation level based on the inhalation characteristic parameter set using a weighted scoring method includes: Determine the sub-score value for each inhalation feature parameter in the set of inhalation feature parameters for each segment; Based on the sub-scores and preset weight coefficients, the lung sedimentation effect score for each segment is determined. Based on the lung sedimentation effect score and the preset level threshold, the score level of each segment is determined.

7. The atomized breathing guidance method according to claim 6, characterized in that, The process of determining and outputting a guidance strategy based on the lung deposition level includes: Based on the sub-score, the lung deposition level, and the preset rule base, the guidance and prompting strategy for each segment is determined through a rule engine method; Based on the guidance and prompting strategy and the preset rule base, and with the output end determined by the rule engine method, the guidance and prompting strategy is output through the output end.

8. A nebulized breathing guidance system, characterized in that, The nebulized breathing guidance system includes: The data construction module is used to preprocess the raw breathing signals during the nebulization process to obtain preprocessed breathing signals. An inhalation characteristic parameter set determination module is used to determine an inhalation characteristic parameter set based on the preprocessed respiratory signal; The scoring module is used to determine the lung sedimentation effect score value based on the inhalation feature parameter set using a weighted scoring method; and to determine the score level based on the lung sedimentation effect score value and a preset level threshold. The guidance prompt strategy output module is used to determine the guidance prompt strategy based on the lung sedimentation effect score and the score level, and output the guidance prompt strategy.

9. An electronic device, characterized in that, It includes at least one controller and a memory for communicatively connecting with the controller; the memory stores instructions executable by the at least one controller, the instructions being executed by the at least one controller to cause the at least one controller to perform a nebulized breathing guidance method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions for causing a computer to perform a nebulized breathing guidance method as described in any one of claims 1 to 7.

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