A method and system for adjusting operating parameters of a breath test device

Abstract

This invention relates to the field of signal processing technology for respiratory testing equipment, providing a method and system for adjusting the operating parameters of respiratory testing equipment, applicable to high carbon dioxide ventilation response measurement equipment, and particularly suitable for ICU critical care scenarios. The method determines the maintenance and calibration cycle location and basic time delay compensation parameters of the target measurement equipment, screens sample equipment data that meet the adaptation conditions, determines the coupling change relationship between the time-series correlation of mild abnormal fluctuations and the synchronous display reconstruction correction sequence, and generates a correction factor accordingly, performing feedforward correction on the basic time delay compensation parameters. This reduces residual time-series offset, fluctuations in the synchronous display reconstruction correction sequence, and the intensity of display-end filtering or noise reduction processing, improves the detail fidelity and curve display stability of the synchronous display data, and reduces the need for manual verification and temporary calibration in high-frequency equipment operation scenarios.

Description

Technical Field

[0001] This invention belongs to the field of signal processing technology for respiratory function testing equipment, and particularly relates to a method and system for adjusting the operating parameters of a respiratory testing equipment suitable for measuring high carbon dioxide ventilation response in ICU critical care settings. Background Technology

[0002] High carbon dioxide ventilation response measurement devices are typically used to acquire carbon dioxide concentration and respiratory flow signals from subjects under set carbon dioxide stimulation conditions, and then output synchronized data of both signals on a unified time reference via a display device. These devices are commonly used in pulmonary function testing, respiratory regulation function assessment, extended cardiopulmonary exercise testing, and related medical research scenarios. Existing devices are generally capable of handling signal acquisition, baseline latency compensation, filtering and noise reduction, and curve display.

[0003] In ICU critical care settings, some critically ill patients may require monitoring of their ventilation responses using high-carbon dioxide ventilation response measurement devices. These devices are typically characterized by high frequency of use, long continuous operating times, and limited downtime calibration windows. Nursing staff or operators need to read the synchronously displayed curves formed by carbon dioxide concentration and respiratory flow signals to understand the changes presented by the device's data. Therefore, the stability and detail fidelity of the synchronously displayed data curves are crucial for operator observation.

[0004] Since carbon dioxide concentration signals and respiratory flow signals typically originate from different acquisition channels, especially when the carbon dioxide concentration signal uses bypass sampling, it needs to pass through the sampling tubing, sampling pump, gas detection chamber, and sensor response process. Therefore, the carbon dioxide sampling channel is prone to signal transmission delay and / or response delay compared to the respiratory flow acquisition channel. Existing technologies generally establish a temporal correlation between the carbon dioxide concentration signal and the respiratory flow signal through a basic time delay compensation parameter, enabling them to correspond to the same respiratory event.

[0005] However, especially in long-term, high-frequency use scenarios such as ICUs, even if no malfunction occurs and the measurements still meet usage requirements during the maintenance and calibration cycle, slight changes may occur in the sampling pipeline status, sampling pump status, gas path resistance, and sensor response status. This can lead to a slight deviation between the original basic delay compensation parameters and the current actual channel delay status. While this deviation is usually insufficient to cause measurement failure, it may increase the need for display reconstruction adjustments when generating synchronized display data. This, in turn, increases the intensity of filtering or noise reduction processing at the display end, reduces the detail fidelity of the final synchronized display data, and increases the workload for operators to verify curve anomalies or confirm equipment status. Therefore, it is necessary to propose an operating parameter adjustment scheme that can perform feedforward correction based on the maintenance and calibration cycle position. Summary of the Invention

[0006] The purpose of this invention is to provide a method and system for adjusting the operating parameters of a respiratory testing device, which aims to solve the problems that, during the maintenance and calibration cycle of a high carbon dioxide ventilation response measuring device, slight changes in channel delay state lead to increased demand for synchronous display reconstruction and adjustment, increased intensity of display end filtering or noise reduction processing, and ultimately reduced fidelity of synchronous display data details.

[0007] This invention is implemented as follows: a method for adjusting the operating parameters of a respiratory testing device, applied to a high carbon dioxide ventilation response measurement device, the method comprising:

[0008] S1. Determine the maintenance and calibration cycle of the target measuring equipment and obtain its basic time delay compensation parameters for time-series correlation between carbon dioxide concentration signal and respiratory flow signal;

[0009] S2. Select sample equipment data from the preset database that meet the equipment background, compensation parameters and historical working conditions of the target measurement equipment.

[0010] S3. Based on sample device data, determine the coupling relationship between the time-related mild abnormal fluctuation degree sequence and the synchronous display reconstruction correction amount sequence within the maintenance calibration cycle, wherein the synchronous display reconstruction correction amount is the display reconstruction correction amount generated when generating synchronous display data;

[0011] S4. Based on the coupling change relationship and the current maintenance and calibration cycle location of the target measuring equipment, determine the predicted degree of mild abnormal fluctuation and generate the corresponding correction factor;

[0012] S5. Use correction factors to feedforward correct the basic time delay compensation parameters in order to reduce the fluctuation of the subsequent synchronous display reconstruction correction sequence and the intensity of its filtering or denoising processing.

[0013] As a further limitation of the technical solution of this embodiment of the invention, the carbon dioxide concentration signal is acquired by the carbon dioxide sampling channel of the target measuring device, and the respiratory flow signal is acquired by the respiratory flow acquisition channel of the target measuring device; the basic time delay compensation parameter is used to compensate for the signal transmission delay and / or response delay of the carbon dioxide sampling channel relative to the respiratory flow acquisition channel, so that the carbon dioxide concentration signal and the respiratory flow signal establish a time-series correlation under a unified time reference.

[0014] As a further limitation of the technical solution of the embodiments of the present invention, the equipment background, compensation parameters and historical operating condition adaptation conditions include: the sample equipment and the target measuring equipment are matched in terms of equipment model, gas path structure, carbon dioxide sampling method, respiratory flow acquisition method and maintenance calibration cycle rules; the basic time delay compensation parameters used by the sample equipment are the same as those of the target measuring equipment or are within a preset equivalent range; the differences between the sample equipment and the target measuring equipment in the cumulative number of measurements, cumulative running time, sampling pump running time and / or measurement frequency before the same cycle position within the corresponding maintenance calibration cycle are within a preset range.

[0015] As a further limitation of the technical solution of this invention, the so-called mild abnormal fluctuation in time-series correlation refers to: after time-series correlation compensation using basic time delay compensation parameters, there is still a residual time offset, phase jitter, and / or response broadening between the carbon dioxide concentration signal and the respiratory flow signal that does not exceed the allowable measurement range; the calculation process of the degree of mild abnormal fluctuation in time-series correlation includes: extracting corresponding feature points of carbon dioxide concentration signal and respiratory flow signal in the same measurement process, calculating the residual time difference between the corresponding feature points, the change in residual time difference between adjacent respiratory cycles, and / or the response broadening of carbon dioxide concentration signal, and obtaining the degree of mild abnormal fluctuation in time-series correlation corresponding to the measurement process based on the residual time difference, the change in residual time difference, and / or the response broadening; the sequence of the degree of mild abnormal fluctuation in time-series correlation is a sequence formed by arranging the degree of mild abnormal fluctuation in time-series correlation corresponding to each measurement process in the same maintenance calibration cycle according to the measurement time order and / or the measurement number order.

[0016] As a further limitation of the technical solution of this embodiment of the invention, the process of obtaining the synchronous display reconstruction correction amount includes: establishing a unified display time axis and / or a unified display coordinate system based on the carbon dioxide concentration signal and respiratory flow signal after time-series correlation compensation; when generating synchronous display data, determining the resampling offset, interpolation offset, coordinate mapping offset and / or curve splicing offset of each display sampling point relative to the corresponding original sampling point during the measurement process; statistically fusing the resampling offset, interpolation offset, coordinate mapping offset and / or curve splicing offset to obtain the synchronous display reconstruction correction amount corresponding to the measurement process; the synchronous display reconstruction correction amount sequence is a sequence formed by arranging the synchronous display reconstruction correction amounts corresponding to each measurement process in the same maintenance calibration cycle according to the measurement time order and / or measurement number order.

[0017] As a further limitation of the technical solution of the present invention, the coupling change relationship refers to the following: within the same maintenance calibration cycle, both the time-series associated mild abnormal fluctuation degree sequence and the synchronous display reconstruction correction quantity sequence show a change state of being stable in the early stage and rising in the later stage, and the difference in the rising starting point, the difference in the rising slope and / or the normalized change similarity between the two meet the preset range.

[0018] As a further limitation of the technical solution of this embodiment of the invention, step S4 specifically includes:

[0019] S41. Obtain the maintenance and calibration cycle position of the target measuring equipment, and map the maintenance and calibration cycle position to the corresponding position in the time-related mild abnormal fluctuation degree sequence.

[0020] S42. Extract the degree of mild abnormal fluctuation in the time series correlation at the corresponding position and set it as the predicted degree of mild abnormal fluctuation;

[0021] S43. Obtain the fluctuation level in the early stable phase of the time-series correlated mild abnormal fluctuation level sequence, and set it as the reference level;

[0022] S44. Generate a correction factor based on the increase ratio of the predicted mild abnormal fluctuation level to the reference level.

[0023] As a further limitation of the technical solution of this embodiment of the invention, the feedforward correction of the basic time delay compensation parameter using the correction factor includes: using the correction factor to perform proportional amplification correction on the basic time delay compensation parameter to obtain the corrected time delay compensation parameter; wherein, the proportional amplification correction is used to increase the compensation amplitude of the basic time delay compensation parameter when the predicted mild abnormal fluctuation level is higher than the reference level, so as to reduce the residual time series offset of carbon dioxide concentration signal and respiratory flow signal in subsequent time series correlation compensation, and reduce the fluctuation of synchronous display reconstruction correction quantity sequence when generating synchronous display data, thereby reducing the intensity of filtering or denoising processing of the synchronous display reconstruction correction quantity sequence at the display end, and improving the detail fidelity of the final synchronous display data.

[0024] As a further limitation of the technical solution of this embodiment of the invention, when using the correction factor to perform feedforward correction on the basic time delay compensation parameters, a preset correction function is used to correct the basic time delay compensation parameters, and the preset correction function is:

[0025] ;

[0026] in, These are the corrected delay compensation parameters. These are the base delay compensation parameters before correction. To predict the degree of mild abnormal fluctuations, For reference level, As a correction factor, The corrected strength coefficient is not less than 1. To prevent zero constant, the corrected time delay compensation parameters take effect within the preset safety control range of the target measurement equipment.

[0027] A respiratory testing device operating parameter adjustment system, applied to a high carbon dioxide ventilation response measurement device, the system comprising:

[0028] The parameter acquisition module is used to determine the maintenance and calibration cycle location of the target measuring device and acquire its basic time delay compensation parameters for the time-series correlation of carbon dioxide concentration signal and respiratory flow signal.

[0029] The sample screening module is used to screen sample equipment data from a preset database that meet the equipment background, compensation parameters and historical operating conditions of the target measuring equipment.

[0030] The coupling analysis module is used to determine the coupling relationship between the time-related mild abnormal fluctuation sequence and the synchronous display reconstruction correction quantity sequence within the maintenance calibration cycle based on sample device data. The synchronous display reconstruction correction quantity is the display reconstruction correction quantity generated when generating synchronous display data.

[0031] The correction factor generation module is used to determine the predicted degree of mild abnormal fluctuation based on the coupling change relationship and the current maintenance and calibration cycle position of the target measuring equipment, and generate the corresponding correction factor.

[0032] The feedforward correction module is used to perform feedforward correction on the basic time delay compensation parameters using correction factors, so as to reduce the fluctuation of the subsequent synchronous display reconstruction correction sequence and the intensity of its filtering or denoising processing.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] To address the issue that during the maintenance and calibration cycle of high carbon dioxide ventilation response measurement equipment, the temporal correlation between carbon dioxide concentration signals and respiratory flow signals may slightly deteriorate, leading to increased synchronous display reconstruction correction and increased intensity of filtering or noise reduction at the display end. This invention utilizes data from similar sample equipment to determine the coupling changes within the maintenance and calibration cycle and, combined with the current maintenance and calibration cycle position of the target measurement equipment, performs feedforward correction on the basic time delay compensation parameters. Therefore, even when the equipment is not faulty and the measurement still meets requirements, residual temporal offsets caused by channel delay changes can be mitigated in advance, reducing fluctuations in the subsequent synchronous display reconstruction correction sequence, minimizing excessive filtering or noise reduction at the display end, and improving the detail fidelity and curve display stability of the final synchronous display data. Especially in long-term, high-frequency operation scenarios such as ICU critical care equipment, this invention can reduce the need for manual verification, temporary checks, or repeated calibrations caused by display curve detail distortion or display anomalies, thereby reducing the operator's equipment coordination burden and improving the display reliability of respiratory testing equipment during continuous operation. Attached Figure Description

[0035] Figure 1 A flowchart of the method provided in the embodiments of the present invention;

[0036] Figure 2 This is a flowchart illustrating the generation of the corresponding correction factor in the method provided in this embodiment of the invention. Detailed Implementation

[0037] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0038] Figure 1 A flowchart of the method provided by an embodiment of the present invention is shown.

[0039] Specifically, a method for adjusting the operating parameters of a respiratory testing device, applied to a high carbon dioxide ventilation response measurement device, includes the following steps:

[0040] Step S1: Determine the maintenance and calibration cycle location of the target measuring device and obtain its basic time delay compensation parameters for time-series correlation of carbon dioxide concentration signal and respiratory flow signal.

[0041] The carbon dioxide concentration signal is acquired by the carbon dioxide sampling channel of the target measuring device, and the respiratory flow signal is acquired by the respiratory flow acquisition channel of the target measuring device; the basic time delay compensation parameter is used to compensate for the signal transmission delay and / or response delay of the carbon dioxide sampling channel relative to the respiratory flow acquisition channel, so that the carbon dioxide concentration signal and the respiratory flow signal are established in a time series correlation under a unified time reference.

[0042] In this embodiment of the invention, the method for adjusting the operating parameters of the respiratory testing device is applied to a high carbon dioxide ventilation response measurement device. Such devices are typically used to collect changes in carbon dioxide concentration and respiratory flow rate under a set carbon dioxide stimulation condition to obtain information on the subject's ventilation response in a high carbon dioxide state. These devices can be found in medical or pharmaceutical research scenarios such as pulmonary function testing, respiratory regulation function assessment, sleep-disorder related assessment, extended cardiopulmonary exercise testing, and respiratory disease research. It should be noted that this invention does not involve making disease diagnoses, treatment decisions, or medical conclusions based on the above data, but rather optimizes the device operating parameters during data acquisition, signal synchronization, and display output.

[0043] In the aforementioned application scenarios, high carbon dioxide ventilation response measurement equipment typically includes a carbon dioxide sampling channel, a respiratory flow acquisition channel, a control and processing unit, and a display device. The display device can be used to simultaneously display carbon dioxide concentration signals and respiratory flow signals; for example, displaying the curves of carbon dioxide concentration versus time and respiratory flow versus time on the same time axis, allowing the operator to observe the relationship between the two. Existing equipment is generally capable of converting the acquired signals into curve data that can be observed on the display screen through data acquisition, time-series correlation compensation, filtering, noise reduction, and display conversion processes.

[0044] It is understandable that carbon dioxide concentration signals and respiratory flow signals typically originate from different acquisition channels. Especially when the carbon dioxide concentration signal is acquired via a bypass sampling path, it must sequentially pass through the sampling tubing, sampling pump, gas detection chamber, and sensor response process; while the respiratory flow signal is usually obtained directly from the respiratory flow acquisition channel located within the respiratory pathway. Due to differences in the airway path, sensor type, response speed, and data sampling link between the two acquisition channels, the carbon dioxide concentration signal typically lags behind the respiratory flow signal. Therefore, before entering the display processing flow, they usually require timing correlation compensation. This involves correcting the signal transmission delay and / or response delay generated by the carbon dioxide sampling channel relative to the respiratory flow acquisition channel using a basic time delay compensation parameter, ensuring that the carbon dioxide concentration signal and respiratory flow signal correspond to the same respiratory event under a unified time reference.

[0045] In existing equipment, even with basic timing correlation compensation, the processing unit typically still needs to perform display reconstruction processing on the two signals based on a unified display time axis and / or a unified display coordinate system when generating synchronized display data. This display reconstruction processing may include resampling, interpolation, coordinate mapping, curve stitching, and other processes. If a large number of reconstruction adjustments are required during this process, it usually indicates that the correspondence between the two signals at the display level is not smooth enough. To make the curve stable, continuous, and easy to observe, the subsequent display end often needs to increase the intensity of filtering or noise reduction processing. While increasing the intensity of filtering or noise reduction processing can make the display curve smoother, it may also weaken some details in the original signal, thereby reducing the detail fidelity of the synchronized display data.

[0046] The starting point of this invention is that, after observing a large amount of data from the actual operation of similar high carbon dioxide ventilation response measurement devices, it was found that within a maintenance and calibration cycle, even if the device does not malfunction and the measurement results still meet the usage requirements, a slight degradation may still occur in the temporal correspondence between the carbon dioxide concentration signal and the respiratory flow signal as the maintenance and calibration cycle progresses. This slight degradation may be related to factors such as changes in the state of the sampling pipeline, changes in the operating state of the sampling pump, changes in minor resistance in the gas path, changes in the sensor response state, and the cumulative effects of humidity or condensation. Such changes are usually insufficient to trigger a device fault alarm and will not directly affect the device from completing the measurement, but they will gradually increase the adjustment requirements during the subsequent display reconstruction process.

[0047] Furthermore, this study found that within the same maintenance and calibration cycle, the temporal state changes of the two signals during multiple measurements exhibited a relatively consistent periodicity with the changes in adjustment requirements during the display reconstruction process; that is, the changes were relatively stable in the early stages of the cycle and gradually increased in the later stages. This phenomenon indicates that the slight changes in the equipment's operating state brought about by the advancement of the maintenance and calibration cycle, although not causing substantial measurement failure, may be transmitted to the display end through the display reconstruction process, leading to increased intensity of subsequent filtering and noise reduction processing, and consequently reducing the detail fidelity of the display curve.

[0048] Based on the above findings, this invention does not alter the medical measurement process or the diagnostic judgment logic. Instead, it utilizes the current maintenance and calibration cycle position of the target measurement equipment, combined with the periodic variation patterns shown in historical operating data, to preemptively adjust the basic time delay compensation parameters used for the time-series correlation of carbon dioxide concentration signals and respiratory flow signals. By performing appropriate compensation in advance before the equipment malfunctions and the measurement still meets the requirements, the adjustment needs of subsequent display reconstruction processing can be reduced, and the intensity of filtering or noise reduction processing at the display end can be decreased, thereby improving the detail fidelity and display stability of the synchronous display curve.

[0049] In step S1, the maintenance and calibration cycle position can be determined based on the maintenance records, calibration records, equipment operation logs, and / or hospital equipment management system records of the target measuring equipment. For example, the cycle start time can be used as the last maintenance or calibration completion time, and the maintenance and calibration cycle position can be determined by the time interval between the current measurement time and that cycle start time; alternatively, the maintenance and calibration cycle position can be determined by the cumulative runtime, cumulative number of measurements, cumulative sampling pump runtime, cumulative power-on time, or cumulative gas sampling time within a maintenance and calibration cycle. The maintenance and calibration cycle position can be expressed as a specific time point within the cycle, the cumulative usage, or the proportion of the cycle currently completed.

[0050] The basic time delay compensation parameter can be a fundamental parameter determined by the target measuring device during factory configuration, equipment calibration, maintenance calibration, or system default settings. This parameter is used to compensate for the signal transmission delay and / or response delay of the carbon dioxide sampling channel relative to the respiratory flow acquisition channel, enabling the carbon dioxide concentration signal and the respiratory flow signal to establish a time-series correlation under a unified time reference. Generally, measuring devices of the same model, with the same gas path structure, the same sampling method, or under the same configuration conditions use the same or equivalent basic time delay compensation parameters. For the same target measuring device, its basic time delay compensation parameter usually remains relatively fixed within the same maintenance calibration cycle, and subsequent adjustments to operating parameters are made based on this basic parameter.

[0051] Furthermore, the method for adjusting the operating parameters of the respiratory testing device also includes the following steps:

[0052] Step S2: Select sample equipment data from the preset database that meet the equipment background, compensation parameters and historical operating conditions of the target measurement equipment.

[0053] The equipment background, compensation parameters, and historical operating condition adaptation conditions include: the sample equipment and the target measuring equipment are compatible in terms of equipment model, gas path structure, carbon dioxide sampling method, respiratory flow acquisition method, and maintenance calibration cycle rules; the basic time delay compensation parameters used by the sample equipment are the same as those of the target measuring equipment or are within a preset equivalent range; and the differences between the sample equipment and the target measuring equipment in terms of the cumulative number of measurements, cumulative runtime, sampling pump runtime, and / or measurement frequency up to the same cycle position within the corresponding maintenance calibration cycle are within a preset range.

[0054] In this embodiment of the invention, the preset database can be derived from the historical operation records, maintenance and calibration records, measurement logs, sampling channel status records, basic time delay compensation parameter configuration records, and display processing records of similar high carbon dioxide ventilation reaction measuring devices. This preset database can be set locally on the target measuring device, or it can be set on a hospital equipment management platform, a manufacturer's equipment maintenance platform, or a cloud-based quality control platform. It is understood that the structured storage, indexing, and retrieval of equipment operation data, maintenance and calibration data, and measurement process data are mature database management methods. This invention does not focus on the storage structure of the database itself as a core improvement point, but rather utilizes existing historical operation data in the database to screen comparable sample equipment data for the target measuring device.

[0055] In step S2, the purpose of screening sample equipment data from the preset database is to avoid directly using all historical equipment data for subsequent analysis. Since different equipment models, gas path structures, carbon dioxide sampling methods, respiratory flow acquisition methods, maintenance and calibration cycle rules, and usage intensity may vary, without screening, incomparable equipment data could easily be introduced into subsequent processing, leading to distortion in the judgment of the operating status corresponding to the current maintenance and calibration cycle position of the target measuring equipment. Therefore, this embodiment prioritizes selecting sample equipment data that is similar to the target measuring equipment in terms of equipment background, compensation parameters, and historical operating conditions, so that the subsequent change patterns can more accurately reflect the potential state changes of the target measuring equipment under similar operating conditions.

[0056] The equipment background compatibility can include having the same or similar equipment model, batch, gas path structure, carbon dioxide sampling method, respiratory flow acquisition method, sampling pump type, sampling tubing specifications, sensor type, and maintenance and calibration cycle rules. The historical operating condition compatibility can include at least one of the following satisfying a preset range: cumulative number of measurements, cumulative runtime, cumulative sampling pump runtime, cumulative power-on time, measurement frequency, maintenance and calibration interval, sampling channel usage intensity, and consumable replacement status. By meeting these conditions, the usage progress of the sample equipment in the current maintenance and calibration cycle can be highly comparable to that of the target measurement equipment.

[0057] The reason why the basic time delay compensation parameters are the same as or within the preset equivalent range of the target measuring equipment is that, in actual equipment management, equipment of the same model or configuration usually uses the same basic time delay compensation parameters. However, due to differences in manufacturing batches, maintenance calibration results, software versions, or manufacturer parameter tables, the parameter values ​​of some equipment may not be completely consistent. As long as the difference in parameters does not change the basic time-series correlation logic between the carbon dioxide concentration signal and the respiratory flow signal, and the difference is within the manufacturer's specified allowable range, the equipment calibration allowable range, or the preset empirical threshold, it can be considered to be within the preset equivalent range, and thus retained as a candidate sample, avoiding an insufficient number of usable samples due to excessive requirements for complete consistency.

[0058] The phrase "up to the same cycle position" refers to selecting only the historical measurement data of the sample equipment from the start of the cycle to the reference position within its corresponding maintenance and calibration cycle, using the current maintenance and calibration cycle position of the target measuring equipment as a reference.

[0059] The purpose of this setup is to ensure that the sample equipment and the target measuring equipment are in the same or similar cycle phase, avoiding the introduction of data from the sample equipment at later cycle positions, which could cause time-look-ahead bias. This ensures that the sample equipment data more accurately reflects the current, referable operating status of the target measuring equipment, improving the reliability of subsequent analysis of changes.

[0060] In one implementation, sample screening can employ a tiered screening approach, starting with strict screening and gradually relaxing it. For example, first, sample equipment data with identical device models, gas path structures, carbon dioxide sampling methods, respiratory flow acquisition methods, maintenance and calibration cycle rules, and basic time delay compensation parameters are screened. If the sample quantity is insufficient, the requirements are gradually relaxed to include similar equipment batches, equivalent sampling tubing specifications, basic time delay compensation parameters within a preset equivalent range, and historical operating condition differences within an expanded preset range. If, even under the relaxed screening conditions, sample equipment data meeting the minimum sample quantity or minimum similarity requirements cannot be obtained, the current feedforward correction based on the sample equipment data can be cancelled, and the target measurement device can continue to perform the current measurement process using the original basic time delay compensation parameters, or only an insufficient sample warning can be output.

[0061] Since the preset database may contain multiple devices, multiple maintenance and calibration cycles, and a large number of historical measurement records, sample screening involves multi-dimensional condition matching and similarity comparison, resulting in a large amount of data and complex screening relationships. In one implementation, artificial intelligence models or machine learning algorithms can be used to assist in sample screening. For example, device background parameters, compensation parameters, and historical operating condition parameters can be converted into device feature vectors, and candidate sample device data can be determined through similarity calculation, cluster analysis, or sample ranking models. In this embodiment, the artificial intelligence model is used to improve the efficiency and consistency of sample screening, and its output is still constrained by preset screening conditions, minimum sample size, and minimum similarity threshold.

[0062] Furthermore, the method for adjusting the operating parameters of the respiratory testing device also includes the following steps:

[0063] Step S3: Based on the sample device data, determine the coupling change relationship between the time-related mild abnormal fluctuation degree sequence and the synchronous display reconstruction correction amount sequence within the maintenance calibration cycle. The synchronous display reconstruction correction amount is the display reconstruction correction amount generated when generating synchronous display data.

[0064] The term "mild anomaly in time-related correlation" refers to the residual time offset, phase jitter, and / or response broadening that still exist between the carbon dioxide concentration signal and the respiratory flow signal after time-related compensation using the basic time delay compensation parameters, but does not exceed the allowable measurement range. The calculation process for the degree of mild anomaly in time-related correlation includes: extracting corresponding feature points of the carbon dioxide concentration signal and respiratory flow signal in the same measurement process, calculating the residual time difference between the corresponding feature points, the change in residual time difference between adjacent respiratory cycles, and / or the response broadening of the carbon dioxide concentration signal, and obtaining the degree of mild anomaly in time-related correlation corresponding to the measurement process based on the residual time difference, the change in residual time difference, and / or the response broadening. The sequence of the degree of mild anomaly in time-related correlation is a sequence formed by arranging the degree of mild anomaly in time-related correlation corresponding to each measurement process in the same maintenance and calibration cycle, according to the measurement time order and / or the measurement number order.

[0065] The process of obtaining the synchronous display reconstruction correction includes: establishing a unified display time axis and / or a unified display coordinate system based on the carbon dioxide concentration signal and respiratory flow signal after time-series correlation compensation; when generating synchronous display data, determining the resampling offset, interpolation offset, coordinate mapping offset, and / or curve splicing offset of each display sampling point relative to the corresponding original sampling point during the measurement process; statistically fusing the resampling offset, interpolation offset, coordinate mapping offset, and / or curve splicing offset to obtain the synchronous display reconstruction correction corresponding to the measurement process; the synchronous display reconstruction correction sequence is a sequence formed by arranging the synchronous display reconstruction correction corresponding to each measurement process in the same maintenance calibration cycle according to the measurement time order and / or measurement number order.

[0066] The coupling change relationship refers to the fact that, within the same maintenance and calibration cycle, both the time-series associated mild abnormal fluctuation sequence and the synchronous display reconstruction correction sequence exhibit a change state of being stable in the early stage and rising in the later stage, and the difference in the starting point of the rise, the difference in the rise slope, and / or the normalized change similarity between the two meet the preset range.

[0067] In this embodiment of the invention, step S3 is used to convert the carbon dioxide concentration signal, respiratory flow signal, and objective processing quantities involved in step S1 into comparable and sortable numerical data. That is, step S3 does not change the data acquisition logic and display generation logic of the existing measuring equipment, but extracts intermediate data that can reflect slight changes in the operating status of the equipment in the existing signal processing process, which is used to subsequently determine the change pattern within the maintenance calibration cycle.

[0068] To assess the degree of mild temporal correlation-related abnormal fluctuations, corresponding characteristic points of the carbon dioxide concentration signal and respiratory flow signal can be selected during each measurement. These points could include the start of expiration, peak expiration, end-expiration characteristic point, the rising edge of carbon dioxide concentration, or the plateau segment of carbon dioxide concentration. The residual time difference between these corresponding characteristic points, the change in residual time difference between adjacent respiratory cycles, and / or the broadening of the carbon dioxide concentration signal response can then be calculated. These values ​​can be normalized, weighted summed, or calculated using root mean square to obtain the degree of mild temporal correlation-related abnormal fluctuations corresponding to that measurement process.

[0069] The term "mild" is used to define that the abnormal fluctuation is still within the allowable measurement range of the equipment. Specifically, a fluctuation upper limit threshold can be preset. Only when the residual time difference, phase jitter, and / or response broadening are lower than the corresponding threshold will they be included in subsequent calculations as mild time-series correlation abnormal fluctuations. If they exceed the threshold, the measurement can be considered to have a significant abnormality or equipment status abnormality, and will not be used as sample data for periodic trend analysis in this embodiment of the invention. This ensures that this solution focuses on slight operational changes when the equipment is not yet faulty and the measurement can still be completed normally.

[0070] After obtaining the degree of time-related mild abnormal fluctuations corresponding to each measurement process, these fluctuations can be arranged according to the measurement time sequence and / or measurement number sequence within the same maintenance and calibration cycle to form a time-related mild abnormal fluctuation degree sequence. The significance of this sequence is that it transforms the slight fluctuation values ​​in a single measurement into continuously changing data within a cycle, thereby enabling observation of whether there are phased changes as the maintenance and calibration cycle progresses, rather than making a judgment based solely on the result of a single measurement.

[0071] For synchronous display reconstruction correction, a unified display time axis and / or a unified display coordinate system can be established based on the time-correlated compensated carbon dioxide concentration signal and respiratory flow signal during each measurement. When generating synchronous display data, the display processing typically generates resampling offset, interpolation offset, coordinate mapping offset, and / or curve stitching offset. These offsets reflect the display reconstruction adjustments required to achieve coaxial display, continuous display, and curve alignment when the two signals are converted into synchronous display curves.

[0072] In one implementation, the resampling offset, interpolation offset, coordinate mapping offset, and / or curve stitching offset corresponding to each display sampling point during a measurement process can be statistically fused. For example, the average value, peak value, cumulative value, root mean square value, or the proportion of points exceeding a preset display adjustment threshold can be calculated to obtain the synchronous display reconstruction correction amount corresponding to that measurement process. This synchronous display reconstruction correction amount is not a diagnostic result, but rather an objective intermediate processing quantity in the display data generation process, used to characterize the degree of display reconstruction adjustment required when generating synchronous display data for that measurement.

[0073] After obtaining the synchronous display reconstruction correction amount for each measurement process, these amounts can be arranged according to the measurement time sequence and / or measurement number sequence within the same maintenance and calibration cycle to form a synchronous display reconstruction correction amount sequence. The significance of this sequence lies in reflecting whether the display reconstruction adjustment requirements show a continuous change within the maintenance and calibration cycle. If this sequence gradually increases towards the end of the cycle, it indicates that subsequent displays may require stronger filtering or noise reduction processing, thus affecting the detail fidelity of the synchronous display data.

[0074] Furthermore, a coupled analysis can be performed on the sequence of slight abnormal fluctuations in time-series correlation and the sequence of synchronous display reconstruction correction. For example, it can be determined whether both exhibit a state of initial stability followed by a subsequent increase, and the similarity of their starting points, slopes, or normalized changes can be compared. When both meet preset coupling correlation conditions, it can be considered that the slight temporal correspondence changes occurring during the cycle progression are related to the display reconstruction adjustment requirements during the generation of synchronous display data. The feature point extraction, offset statistics, sequence arrangement, and similarity judgment used in this step can all be implemented based on existing signal processing and data statistics methods. The focus of this invention is to use them as a basis for maintaining the feedforward adjustment of equipment operating parameters within the calibration cycle.

[0075] Furthermore, the method for adjusting the operating parameters of the respiratory testing device also includes the following steps:

[0076] Step S4: Based on the coupling change relationship and the current maintenance and calibration cycle position of the target measuring equipment, determine the predicted degree of mild abnormal fluctuation and generate the corresponding correction factor.

[0077] Specifically, Figure 2 A flowchart for generating the corresponding correction factor is shown.

[0078] Step S4 specifically includes the following steps:

[0079] Step S41: Obtain the maintenance and calibration cycle position of the target measuring equipment, and map the maintenance and calibration cycle position to the corresponding position in the time-series correlated mild abnormal fluctuation degree sequence;

[0080] Step S42: Extract the degree of mild anomalous fluctuation in the time series correlation at the corresponding location and set it as the predicted degree of mild anomalous fluctuation;

[0081] Step S43: Obtain the fluctuation level in the early stable phase of the time-series correlated mild abnormal fluctuation level sequence, and set it as the reference level;

[0082] Step S44: Generate a correction factor based on the increase ratio of the predicted mild abnormal fluctuation degree to the reference degree.

[0083] Step S5: Use the correction factor to perform feedforward correction on the basic time delay compensation parameters to reduce the fluctuation of the subsequent synchronous display reconstruction correction sequence and the intensity of its filtering or denoising processing.

[0084] The feedforward correction of the basic time delay compensation parameter using the correction factor includes: proportionally amplifying the basic time delay compensation parameter using the correction factor to obtain the corrected time delay compensation parameter; the proportional amplification correction here refers to adjusting the basic time delay compensation parameter upward according to the correction factor when the predicted mild abnormal fluctuation level is higher than the reference level, so as to enhance the time-series compensation effect of the carbon dioxide concentration signal relative to the respiratory flow signal; it does not reduce or weaken the basic time delay compensation parameter, but rather enhances the original compensation effect to a limited extent within the allowable parameter range of the equipment.

[0085] The proportional amplification correction is used to increase the compensation magnitude of the basic time delay compensation parameter when the predicted mild abnormal fluctuation level is higher than the reference level. This reduces the residual time series offset between the carbon dioxide concentration signal and the respiratory flow signal in the subsequent time series correlation compensation, and reduces the fluctuation of the synchronous display reconstruction correction quantity sequence when generating synchronous display data. This reduces the intensity of filtering or denoising processing of the synchronous display reconstruction correction quantity sequence at the display end, and improves the detail fidelity of the final synchronous display data.

[0086] When using a correction factor to perform feedforward correction on the basic time delay compensation parameters, a preset correction function is used to correct the basic time delay compensation parameters. The preset correction function is:

[0087] ;

[0088] in, These are the corrected delay compensation parameters. These are the base delay compensation parameters before correction. To predict the degree of mild abnormal fluctuations, For reference level, As a correction factor, The corrected strength coefficient is not less than 1. To prevent zero constant, the corrected time delay compensation parameters take effect within the preset safety control range of the target measurement equipment.

[0089] In this embodiment of the invention, in steps S4 and S5, feedforward correction is only performed on the target measurement device after confirming the existence of a stable coupling change relationship within the maintenance calibration cycle through sample device data. That is, this scheme does not blindly adjust the basic time delay compensation parameters for each measurement, but rather generates a correction factor based on the predicted slight abnormal fluctuation level corresponding to that cycle stage only after confirming that the cycle stage of the target measurement device matches the observed change pattern in historical samples, and uses this correction factor for subsequent parameter correction.

[0090] This embodiment chooses to proportionally amplify the baseline time delay compensation parameters because these parameters characterize the strength of the compensation effect of the carbon dioxide concentration signal relative to the respiratory flow signal. When the maintenance calibration cycle progresses, causing a slight increase in the residual timing offset between the two signals, proportional amplification can provide a small enhancement based on the baseline parameters set by the manufacturer or calibrated by the equipment. This does not require changing the original timing correlation algorithm or rebuilding the equipment display processing flow. Therefore, this method is simple to implement, has low system-level modification costs, and directly corresponds to the increase in the predicted degree of slight abnormal fluctuation relative to the reference level.

[0091] In step S41, the current maintenance and calibration cycle position of the target measuring equipment can be uniformly converted into a cycle progress value, such as converting it into the nth measurement, the nth hour of operation, or the percentage progress in this cycle. Subsequently, this cycle progress value is mapped to the time-series correlation mild abnormal fluctuation degree sequence formed by the sample equipment, so that the target measuring equipment can find the corresponding historical reference position at the current stage.

[0092] In step S42, the corresponding time-related slight abnormal fluctuation degree is extracted from the mapped location and used as the predicted slight abnormal fluctuation degree. This predicted value is used to represent: based on the historical performance of similar equipment in the same or similar period stages, the slight time-related degradation level that the target measuring equipment may experience in the current measuring stage.

[0093] In step S43, a reference level is extracted from the early stable phase of the time-series correlated mild abnormal fluctuation degree sequence. The early stable phase can be several measurements after the start of the maintenance and calibration cycle, or it can be a continuous interval where the slope of the fluctuation degree change is lower than a preset threshold. Using the fluctuation degree corresponding to this phase as the reference level can characterize the basic level of the equipment at the beginning of the maintenance and calibration cycle when the operating status is relatively stable.

[0094] In step S44, the increase ratio of the predicted slight abnormal fluctuation level to the reference level is used as the underlying basis for the correction factor. This ensures that the correction magnitude matches the degree of slight performance change in the current cycle stage of the equipment: the larger the increase ratio, the stronger the feedforward correction; the smaller the increase ratio, the weaker the feedforward correction. This avoids both insufficient compensation, which would cause the synchronous display reconstruction correction sequence to continue to increase, and overcompensation, which would cause new signal misalignment or display processing burden.

[0095] In this embodiment of the invention, the logic of the preset correction function can be understood as follows: when the predicted degree of slight abnormal fluctuation is not higher than the reference degree, it indicates that the target measuring device has not yet shown an upward trend relative to the beginning of the cycle, so the basic time delay compensation parameter remains unchanged; when the predicted degree of slight abnormal fluctuation is higher than the reference degree, the increase ratio of the predicted degree of slight abnormal fluctuation relative to the reference degree is used as a correction factor, and combined with a preset correction intensity coefficient of not less than 1, the basic time delay compensation parameter is proportionally amplified and corrected. This preset correction function is intuitive and effective because it directly uses the relative increase ratio within the cycle to describe the correction magnitude, which allows the corrected time delay compensation parameter to be moderately enhanced following slight changes in the device's operating state.

[0096] The preset correction intensity coefficient can be determined based on equipment factory test data, maintenance calibration experiment data, historical operating data, or manufacturer-preset empirical values. For example, the decrease in the synchronous display reconstruction correction sequence and the change in the display end filtering or noise reduction processing intensity can be compared among historical data from multiple similar devices under different correction intensities to select a coefficient that reduces the display reconstruction adjustment requirements without introducing overcompensation. This coefficient can also be configured within a preset range by the hospital equipment management platform or the manufacturer's operation and maintenance platform. Furthermore, the corrected time delay compensation parameters should be limited to the preset safety control range or the equipment's allowable parameter range of the target measurement equipment to ensure that this solution does not disrupt the original equipment's operational stability.

[0097] In addition to the aforementioned scaling method, other implementations may also employ table lookup mapping, piecewise linear methods, upper limit limiting methods, or regression models trained based on historical data to determine the corrected time delay compensation parameters. For example, a mapping table of "rise ratio - correction magnitude" can be pre-established, allowing direct lookup of the table to obtain the correction magnitude when the target measuring device is at different cycle positions; alternatively, a lower correction intensity can be used when the rise ratio is small, and a higher correction intensity can be used when the rise ratio is large, but all must ensure that the corrected time delay compensation parameters are within the allowable range of the device.

[0098] For example, a target measurement device has a base time delay compensation parameter of 100 milliseconds, currently at the 80th percentile of its maintenance calibration cycle. Data from sample devices shows that the predicted slight abnormal fluctuation at this cycle position is 0.36, while the reference level for the previous stable phase is 0.30. The zero-prevention constant is set to 0.01, and the preset correction intensity coefficient is 1.05. The correction factor can be obtained by subtracting 0.30 from 0.36, then dividing by 0.30 and adding 0.01, resulting in approximately 0.194. Since the predicted slight abnormal fluctuation is higher than the reference level, feedforward correction is required. The base time delay compensation parameter of 100 milliseconds is multiplied by 1, added to 0.194, and then multiplied by 1.05, yielding approximately 125.4 milliseconds. If the allowable time delay compensation parameter range for the target measurement device is 80 to 140 milliseconds, then 125.4 milliseconds is within the allowable range and can be used as the corrected time delay compensation parameter for subsequent time-series correlation compensation of carbon dioxide concentration and respiratory flow signals. After this feedforward correction, the display reconstruction adjustment required for the two signals to generate synchronous display data is reduced, the fluctuation of the synchronous display reconstruction correction sequence decreases, and the intensity of filtering or noise reduction processing of the sequence at the display end is also reduced accordingly.

[0099] It should be noted that in the above example, the base delay compensation parameter was adjusted from 100 milliseconds to approximately 125.4 milliseconds. This does not mean that a larger delay compensation parameter is always better, nor does it mean that 120 milliseconds or 125.4 milliseconds is necessarily better than 100 milliseconds. The purpose of the base delay compensation parameter is to compensate for the additional signal transmission delay and / or response delay of the carbon dioxide sampling channel compared to the respiratory flow acquisition channel, so that the carbon dioxide concentration signal and the respiratory flow signal can correspond to the same respiratory event.

[0100] In the example above, 100 milliseconds can be understood as the basic delay compensation amount for the carbon dioxide sampling channel relative to the respiratory flow acquisition channel at the beginning of the cycle or in the default state of the target measurement device; while 125.4 milliseconds indicates that, at the current maintenance and calibration cycle position, the target measurement device is predicted to require a larger delay compensation amount based on the sample device data. In other words, the additional approximately 25.4 milliseconds is not additional compensation for a specific medical result, but rather used to compensate for the increased channel delay that the carbon dioxide sampling channel may experience relative to the respiratory flow acquisition channel during the current device operation phase.

[0101] If the actual channel delay of the target measurement device is still close to 100 milliseconds at the current stage, it should not be forcibly corrected to 125.4 milliseconds, otherwise it may cause overcompensation and introduce new timing offsets. Therefore, the feedforward correction in this invention should be understood as making the corrected delay compensation parameter closer to the actual channel delay state of the target measurement device at the current maintenance and calibration cycle position, rather than simply increasing the basic delay compensation parameter. The corrected delay compensation parameter also needs to be limited to the preset safety control range of the target measurement device. If necessary, it can also be combined with the real-time signal verification results in the current measurement process for backoff or amplitude limiting.

[0102] In this embodiment, the slight abnormal fluctuation in time-series correlation is mainly manifested as the residual lag of the carbon dioxide concentration signal relative to the respiratory flow signal increasing as the maintenance and calibration cycle progresses. Therefore, when the predicted degree of slight abnormal fluctuation is higher than the reference degree, the basic time delay compensation parameter is proportionally amplified and corrected. For measurement data whose residual time-series offset direction does not meet the above conditions, the feedforward correction described in this embodiment is not activated.

[0103] The beneficial effect of this invention lies in the fact that it does not change the medical measurement process of the high carbon dioxide ventilation response measurement device, nor does it intervene in diagnosis or treatment judgment. Instead, it optimizes the device operating parameters to address the timing correlation between carbon dioxide concentration signals and respiratory flow signals in the pre-display processing. By utilizing the maintenance calibration cycle position and historical sample device data, feedforward correction can be performed while the device is still in a normal and usable state. This can mitigate the slight timing correspondence degradation caused by cycle advancement, reduce the fluctuation of the subsequent synchronous display reconstruction correction sequence, and reduce the intensity of filtering or noise reduction processing at the display end, thereby improving the detail fidelity and curve display stability of the final synchronous display data.

[0104] This solution addresses the core research point raised in step S1, namely, the need to establish a stable temporal correlation between the carbon dioxide sampling channel and the respiratory flow acquisition channel under a unified time reference due to differences in signal transmission and response delays. Based on the existing fundamental delay compensation parameters, this invention introduces a feedforward adjustment mechanism within the maintenance calibration cycle, enabling the temporal correlation to better adapt to slight changes in the equipment's operating status during the cycle.

[0105] This invention is applicable to high carbon dioxide ventilation response measurement devices equipped with carbon dioxide sampling channels, respiratory flow acquisition channels, and display devices. It can also be extended to respiratory testing devices that require unified time-base display of multi-channel respiratory signals. This solution has good application prospects for multiple similar devices centrally managed in hospitals, remote operation and maintenance platforms of manufacturers, and medical research scenarios that require long-term stable display of curve data.

[0106] Specifically, in ICU critical care settings, this solution automatically determines the maintenance and calibration cycle location, matches sample equipment data, generates correction factors, and feeds forward corrects the basic time delay compensation parameters using the target measurement device. Nurses are not required to perform additional signal parameter calculations for implementing this solution. This reduces manual verification, temporary shutdowns for inspection, or unplanned calibration operations due to abnormal synchronous display curves, lowering the burden on nursing staff in high-frequency equipment use scenarios. Simultaneously, by reducing the intensity of filtering or noise reduction at the display end, it helps preserve subtle changes in the synchronous display curve, providing operators with more complete information for observing patient ventilation responses. Furthermore, reducing unnecessary disassembly and repeated touching of equipment components simplifies equipment maintenance and assists in ICU infection control management, while also improving the continuity of equipment operation in scenarios involving multiple patients undergoing continuous respiratory monitoring.

[0107] Furthermore, in another preferred embodiment provided by the present invention, a respiratory testing device operating parameter adjustment system is also provided, comprising:

[0108] The parameter acquisition module is used to determine the maintenance and calibration cycle location of the target measuring equipment and to acquire the basic time delay compensation parameters for the time-series correlation of carbon dioxide concentration signal and respiratory flow signal.

[0109] Furthermore, the respiratory testing equipment operating parameter adjustment system also includes:

[0110] The sample screening module is used to screen sample equipment data from a preset database that meet the equipment background, compensation parameters, and historical operating conditions of the target measuring equipment.

[0111] Furthermore, the respiratory testing equipment operating parameter adjustment system also includes:

[0112] The coupling analysis module is used to determine the coupling relationship between the time-related mild abnormal fluctuation sequence and the synchronous display reconstruction correction quantity sequence within the maintenance calibration cycle based on sample device data. The synchronous display reconstruction correction quantity is the display reconstruction correction quantity generated when generating synchronous display data.

[0113] Furthermore, the respiratory testing equipment operating parameter adjustment system also includes:

[0114] The correction factor generation module is used to determine the predicted degree of mild abnormal fluctuation based on the coupling change relationship and the current maintenance and calibration cycle position of the target measuring equipment, and to generate the corresponding correction factor.

[0115] Furthermore, the respiratory testing equipment operating parameter adjustment system also includes:

[0116] The feedforward correction module is used to perform feedforward correction on the basic time delay compensation parameters using correction factors, so as to reduce the fluctuation of the subsequent synchronous display reconstruction correction sequence and the intensity of its filtering or denoising processing.

[0117] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for adjusting the operating parameters of a respiratory testing device, characterized in that, The method, applied to a high-carbon dioxide ventilation reaction measuring device, includes: S1. Determine the maintenance and calibration cycle of the target measuring equipment and obtain its basic time delay compensation parameters for time-series correlation between carbon dioxide concentration signal and respiratory flow signal; S2. Select sample equipment data from the preset database that meet the equipment background, compensation parameters and historical working conditions of the target measurement equipment. S3. Based on sample device data, determine the coupling relationship between the time-related mild abnormal fluctuation degree sequence and the synchronous display reconstruction correction amount sequence within the maintenance calibration cycle, wherein the synchronous display reconstruction correction amount is the display reconstruction correction amount generated when generating synchronous display data; S4. Based on the coupling change relationship and the current maintenance and calibration cycle location of the target measuring equipment, determine the predicted degree of mild abnormal fluctuation and generate the corresponding correction factor; S5. Use correction factors to feedforward correct the basic time delay compensation parameters in order to reduce the fluctuation of the subsequent synchronous display reconstruction correction sequence and the intensity of its filtering or denoising processing.

2. The method for adjusting the operating parameters of a respiratory testing device according to claim 1, characterized in that, The carbon dioxide concentration signal is acquired by the carbon dioxide sampling channel of the target measuring device, and the respiratory flow signal is acquired by the respiratory flow acquisition channel of the target measuring device; the basic time delay compensation parameter is used to compensate for the signal transmission delay and / or response delay of the carbon dioxide sampling channel relative to the respiratory flow acquisition channel, so that the carbon dioxide concentration signal and the respiratory flow signal are established in a time series correlation under a unified time reference.

3. The method for adjusting the operating parameters of a respiratory testing device according to claim 1, characterized in that, The equipment background, compensation parameters, and historical operating condition adaptation conditions include: the sample equipment and the target measuring equipment are compatible in terms of equipment model, gas path structure, carbon dioxide sampling method, respiratory flow acquisition method, and maintenance calibration cycle rules; the basic time delay compensation parameters used by the sample equipment are the same as those of the target measuring equipment or are within a preset equivalent range; and the differences between the sample equipment and the target measuring equipment in terms of the cumulative number of measurements, cumulative runtime, sampling pump runtime, and / or measurement frequency up to the same cycle position within the corresponding maintenance calibration cycle are within a preset range.

4. The method for adjusting the operating parameters of a respiratory testing device according to claim 1, characterized in that, The term "mild abnormal fluctuation in time-series correlation" refers to the residual time-series offset, phase jitter, and / or response broadening that still exist between the carbon dioxide concentration signal and the respiratory flow signal after time-series correlation compensation using the basic time delay compensation parameter, and does not exceed the allowable range of measurement. The calculation process for the degree of mild abnormal fluctuation in time-related correlation includes: extracting corresponding feature points of carbon dioxide concentration signal and respiratory flow signal in the same measurement process, calculating the residual time difference between the corresponding feature points, the change in residual time difference between adjacent respiratory cycles and / or the response broadening of carbon dioxide concentration signal, and obtaining the degree of mild abnormal fluctuation in time-related correlation corresponding to the measurement process based on the residual time difference, the change in residual time difference and / or the response broadening. The time-related mild abnormal fluctuation sequence is a sequence formed by arranging the time-related mild abnormal fluctuations corresponding to each measurement process within the same maintenance and calibration cycle, according to the measurement time order and / or measurement number order.

5. The method for adjusting the operating parameters of a respiratory testing device according to claim 1, characterized in that, The process of obtaining the synchronous display reconstruction correction includes: establishing a unified display time axis and / or a unified display coordinate system based on the carbon dioxide concentration signal and respiratory flow signal after time-series correlation compensation; when generating synchronous display data, determining the resampling offset, interpolation offset, coordinate mapping offset, and / or curve splicing offset of each display sampling point relative to the corresponding original sampling point during the measurement process; statistically fusing the resampling offset, interpolation offset, coordinate mapping offset, and / or curve splicing offset to obtain the synchronous display reconstruction correction corresponding to the measurement process; the synchronous display reconstruction correction sequence is a sequence formed by arranging the synchronous display reconstruction correction corresponding to each measurement process in the same maintenance calibration cycle according to the measurement time order and / or measurement number order.

6. The method for adjusting the operating parameters of a respiratory testing device according to claim 1, characterized in that, The coupling change relationship refers to the fact that, within the same maintenance and calibration cycle, both the time-series associated mild abnormal fluctuation sequence and the synchronous display reconstruction correction sequence exhibit a change state of being stable in the early stage and rising in the later stage, and the difference in the starting point of the rise, the difference in the rise slope, and / or the normalized change similarity between the two meet the preset range.

7. The method for adjusting the operating parameters of a respiratory testing device according to claim 6, characterized in that, Step S4 specifically includes: S41. Obtain the maintenance and calibration cycle position of the target measuring equipment, and map the maintenance and calibration cycle position to the corresponding position in the time-related mild abnormal fluctuation degree sequence. S42. Extract the degree of mild abnormal fluctuation in the time series correlation at the corresponding position and set it as the predicted degree of mild abnormal fluctuation; S43. Obtain the fluctuation level in the early stable phase of the time-series correlated mild abnormal fluctuation level sequence, and set it as the reference level; S44. Generate a correction factor based on the increase ratio of the predicted mild abnormal fluctuation level to the reference level.

8. The method for adjusting the operating parameters of a respiratory testing device according to claim 7, characterized in that, The feedforward correction of the basic time delay compensation parameters using the correction factor includes: proportionally amplifying the basic time delay compensation parameters using the correction factor to obtain the corrected time delay compensation parameters; wherein, the proportional amplification correction is used to increase the compensation magnitude of the basic time delay compensation parameters when the predicted mild abnormal fluctuation level is higher than the reference level, so as to reduce the residual time series offset between the carbon dioxide concentration signal and the respiratory flow signal in the subsequent time series correlation compensation, and reduce the fluctuation of the synchronous display reconstruction correction quantity sequence when generating synchronous display data, thereby reducing the intensity of filtering or denoising processing of the synchronous display reconstruction correction quantity sequence at the display end, and improving the detail fidelity of the final synchronous display data.

9. The method for adjusting the operating parameters of a respiratory testing device according to claim 7, characterized in that, When using a correction factor to perform feedforward correction on the basic time delay compensation parameters, a preset correction function is used to correct the basic time delay compensation parameters. The preset correction function is: ； in, These are the corrected delay compensation parameters. These are the base delay compensation parameters before correction. To predict the degree of mild abnormal fluctuations, For reference level, As a correction factor, The corrected strength coefficient is not less than 1. To prevent zero constant, the corrected time delay compensation parameters take effect within the preset safety control range of the target measurement equipment.

10. A respiratory testing device operating parameter adjustment system, characterized in that, A system for measuring reactions in high-carbon dioxide ventilated environments includes: The parameter acquisition module is used to determine the maintenance and calibration cycle location of the target measuring device and acquire its basic time delay compensation parameters for the time-series correlation of carbon dioxide concentration signal and respiratory flow signal. The sample screening module is used to screen sample equipment data from a preset database that meet the equipment background, compensation parameters and historical operating conditions of the target measuring equipment. The coupling analysis module is used to determine the coupling relationship between the time-related mild abnormal fluctuation sequence and the synchronous display reconstruction correction quantity sequence within the maintenance calibration cycle based on sample device data. The synchronous display reconstruction correction quantity is the display reconstruction correction quantity generated when generating synchronous display data. The correction factor generation module is used to determine the predicted degree of mild abnormal fluctuation based on the coupling change relationship and the current maintenance and calibration cycle position of the target measuring equipment, and generate the corresponding correction factor. The feedforward correction module is used to perform feedforward correction on the basic time delay compensation parameters using correction factors, so as to reduce the fluctuation of the subsequent synchronous display reconstruction correction sequence and the intensity of its filtering or denoising processing.

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