Inflatable blood pressure measurement method, device, electronic equipment and storage medium

Abstract

The present application provides an air inflation predicted blood pressure measurement method, device, electronic equipment and storage medium, the air inflation predicted blood pressure measurement method includes: in response to the air inflation predicted blood pressure measurement request, the sleeve is inflated and pressurized, and the original pressure waveform is collected;Pulse waveform is extracted from the original pressure waveform, and pulse waveform feature extraction is carried out to obtain pulse wave feature information;According to pulse wave feature information, the inflation process is predicted, and the prediction result and the credibility index of the prediction result are obtained;Compare the credibility index with the preset threshold value, and execute inflation and deflation compensation on the sleeve according to the comparison result. According to the credibility index, the inflation and deflation strategy of the deflation measurement process is adjusted, including the initial inflation pressure and the process compensation strategy, and the pulse feature information can also assist the blood pressure calculation in the deflation stage, which can reduce the number of repeated inflation and deflation, improve the comfort of the measured person, and improve the blood pressure measurement accuracy.

Description

TECHNICAL FIELD

[0001] The present application relates to the fields of medical and computer technology, and in particular to a blood pressure measurement method and device based on air inflation prediction, an electronic device and a storage medium. BACKGROUND

[0002] Blood pressure, as one of the important physiological parameters of the human body, can effectively reflect the post-load condition of the heart, and is widely used in the clinical diagnosis and prevention of cardiovascular diseases. Therefore, a fast and accurate blood pressure measurement system is particularly important. The common blood pressure measurement device is an electronic sphygmomanometer, which is usually developed based on the measurement principle of oscillation method. Its working principle can be divided into electronic sphygmomanometers based on air inflation measurement and electronic sphygmomanometers based on air discharge measurement according to the measurement method. Air inflation measurement is to calculate blood pressure during the process of inflating and pressurizing the cuff. The disadvantage is that the anti-interference ability is weak, and it is easily affected by system air pump and air pressure impact noise. Air discharge measurement is to inflate and pressurize the cuff to compress the arterial blood vessels, and then slowly discharge the air after the arterial blood vessels are occluded. Blood pressure is calculated during the air discharge stage. The disadvantage is that the measurement time is long, which affects the comfort of the measured person.

[0003] The existing electronic sphygmomanometer needs to set an initial inflation pressure in advance during the blood pressure measurement process. The value is generally set by the systolic pressure result of the last measurement. When the cuff is inflated to a pressure higher than the target pressure, the inflation is stopped, and then the air discharge stage is entered. The deficiency of this inflation and air discharge working mode is that when the actual blood pressure of the measured person does not match the pressure setting value, repeated inflation and long measurement time problems will occur. SUMMARY

[0004] The main purpose of the embodiments of the present application is to provide a blood pressure measurement method and device based on air inflation prediction, an electronic device and a storage medium, which can reduce the number of repeated inflation and air discharge of the cuff, improve the comfort of the measured person, and improve the accuracy of blood pressure measurement.

[0005] One aspect of the present application provides a blood pressure measurement method based on air inflation prediction, comprising:

[0006] In response to a blood pressure measurement request based on air inflation prediction, inflating and pressurizing the cuff to obtain an original pressure waveform;

[0007] Extracting a pulse waveform from the original pressure waveform, performing feature extraction on the pulse waveform to obtain pulse wave feature information;

[0008] Predicting the inflation process according to the pulse wave feature information to obtain a prediction result and a credibility index of the prediction result;

[0009] Comparing the credibility index with a preset threshold, and performing inflation and air discharge compensation on the cuff according to the comparison result.

[0010] According to the inflation-predicted blood pressure measurement method, wherein the pulse waveform is extracted from the original pressure waveform, including:

[0011] The pulse wave and the cuff static pressure signal are separated from the original pressure waveform by using one of a wavelet analysis and an adaptive filtering method.

[0012] According to the inflation-predicted blood pressure measurement method, wherein the pulse waveform is extracted from the original pressure waveform, including:

[0013] At least one of the peak amplitude, the time interval between adjacent peaks and the waveform starting point is extracted from the pulse waveform by a pulse wave detection algorithm.

[0014] According to the inflation-predicted blood pressure measurement method, wherein the pulse waveform is extracted from the original pressure waveform, including:

[0015] The pulse wave envelope curve is constructed, and the fitting is performed by the envelope curve, wherein the fitting includes one of cubic spline fitting, least square fitting, Gaussian fitting and polynomial fitting;

[0016] The maximum amplitude of the pulse wave envelope curve is searched, and the maximum amplitude is taken as one of the pulse wave features;

[0017] The pulse rate, the blood pressure value and the maximum inflation pressure are calculated according to the peak amplitude, the time interval between adjacent peaks and the waveform starting point of the pulse wave feature, the maximum value of the envelope curve, and at least one of the pulse rate, the blood pressure value and the maximum inflation pressure is stored as the prediction result.

[0018] According to the inflation-predicted blood pressure measurement method, wherein the reliability index is compared with a preset threshold, and inflation and deflation compensation is performed on the cuff according to the comparison result, including:

[0019] If the reliability index is greater than the preset threshold, the inflation prediction result is taken as the final measurement result;

[0020] If the reliability index is less than or equal to the preset threshold, the maximum inflation pressure and the air supplement strategy of the deflation process are adjusted according to the reliability index, and the supplement strategy includes inflating the cuff to a target pressure, and when entering the deflation stage, the deflation measurement is assisted by the prediction result.

[0021] According to the inflation-predicted blood pressure measurement method, wherein the method further includes:

[0022] The original pressure waveform, the processed pulse waveform, and at least one of the blood pressure parameters are displayed through an interactive interface. The blood pressure parameters include at least one of pulse rate, systolic blood pressure, diastolic blood pressure, and mean blood pressure.

[0023] In addition, it also includes the ability to view measurement type, reliability index status, and blood pressure score through an interactive interface.

[0024] According to the inflation-predicted blood pressure measurement method, the method further includes:

[0025] The data collection, feature extraction, prediction, inflation, and deflation are converted into visual data using corresponding evaluation factors and dynamically displayed on the interactive interface.

[0026] Another aspect of the present invention provides a blood pressure measurement device with inflation prediction, comprising:

[0027] The data acquisition module is used to inflate and pressurize the cuff according to the blood pressure measurement request predicted by inflation, and to obtain the raw pressure waveform.

[0028] The feature extraction module is used to extract the pulse waveform from the original pressure waveform, perform feature extraction on the pulse waveform, and obtain pulse wave feature information.

[0029] The intelligent measurement module is used to predict the inflation process based on the pulse wave characteristic information, and obtain the prediction result and the reliability index of the prediction result.

[0030] The compensation module is used to compare the credibility index with a preset threshold and perform inflation and deflation compensation on the cuff based on the comparison result.

[0031] Another aspect of the present invention provides an electronic device, including a processor and a memory;

[0032] The memory is used to store programs;

[0033] The processor executes the program to implement the method as described above.

[0034] This invention also discloses a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device can read the computer instructions from the computer-readable storage medium and execute the computer instructions, causing the computer device to perform the methods described above.

[0035] Additional aspects and advantages of the invention 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 the invention. Attached Figure Description

[0036] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which:

[0037] Figure 1 This is a schematic diagram of a device for measuring blood pressure using inflation prediction according to an embodiment of the present invention.

[0038] Figure 2 This is a schematic flowchart of the inflation prediction blood pressure measurement method according to an embodiment of the present invention.

[0039] Figure 3 This is a schematic diagram of the feature extraction process according to an embodiment of the present invention.

[0040] Figure 4 This is a schematic diagram of the process of prediction based on pulse waveform according to an embodiment of the present invention.

[0041] Figure 5 This is a schematic diagram of the workflow of the intelligent measurement module based on inflation prediction results in an embodiment of the present invention.

[0042] Figure 6 This is a flowchart illustrating the detailed inflation prediction method for blood pressure measurement according to an embodiment of the present invention.

[0043] Figure 7 This is a diagram of a blood pressure measurement and analysis device for inflation prediction according to an embodiment of the present invention. Detailed Implementation

[0044] The embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings. Throughout the description, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions. In the following description, suffixes such as "module," "part," or "unit" used to denote elements are used only for the purpose of illustrative purposes and have no specific meaning in themselves. Therefore, "module," "part," or "unit" can be used interchangeably. Terms such as "first," "second," etc., are used only to distinguish technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the sequential relationship of the indicated technical features. In the following description, the consecutive reference numerals for method steps are for ease of review and understanding. Adjusting the implementation order of steps, in conjunction with the overall technical solution of the present invention and the logical relationship between the various steps, will not affect the technical effect achieved by the technical solution of the present invention. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0045] like Figure 1As shown in the diagram, this embodiment of the invention provides a schematic diagram of a device for blood pressure measurement based on inflation prediction. It includes a data acquisition device 100, an analysis device 200, and a display device 300. The analysis device 200 is connected to both the data acquisition device 100 and the display device 300 via wired or short-range wireless connection. The data acquisition device 100 is used to acquire raw pressure waveforms; the data acquisition device can be a sensor mounted on the cuff. The analysis device 200 is used to execute a blood pressure measurement request in response to inflation prediction, inflating the cuff and acquiring the raw pressure waveform; extracting the pulse waveform from the raw pressure waveform; performing feature extraction on the pulse waveform to obtain pulse wave feature information; predicting the inflation process based on the pulse wave feature information to obtain the prediction result and a reliability index; comparing the reliability index with a preset threshold; and performing inflation and deflation compensation on the cuff based on the comparison result. The analysis device can be a blood pressure analysis device, etc. The display device 300 dynamically visualizes the data from each process of the analysis device 200.

[0046] In some embodiments, the acquisition device 100, the analysis device 200, and the display device 300 may be an integrated device or separate devices.

[0047] like Figure 2 As shown, this embodiment of the invention provides a flow chart of a method for measuring blood pressure based on inflation prediction, which specifically includes, but is not limited to, steps S100-S500.

[0048] S100, in response to a blood pressure measurement request based on inflation prediction, inflates and pressurizes the cuff, acquiring the raw pressure waveform.

[0049] In some embodiments, the raw pressure waveform includes the cuff pressure signal acquired by the sensor device and the waveform caused by pulse oscillation.

[0050] S200: Extract the pulse waveform from the original pressure waveform, perform feature extraction on the pulse waveform, and obtain pulse wave feature information;

[0051] In some embodiments, reference Figure 3 This invention provides a flowchart for feature extraction from a pulse waveform, including but not limited to steps S210-S220:

[0052] S210 uses one of the wavelet analysis and adaptive filtering methods to separate the pulse wave and cuff static pressure signal from the original pressure waveform;

[0053] In some embodiments, the filtering method may be other alternative methods. This is only an example for illustration and not a limitation on the method.

[0054] S220, using a pulse wave detection algorithm, extracts at least one of the following from the pulse waveform: peak amplitude, adjacent peaks, and time interval between the waveform start point.

[0055] S300 predicts the inflation process based on pulse wave characteristic information, and obtains the prediction results and the reliability index of the prediction results.

[0056] In some embodiments, reference Figure 4 It provides a flowchart for predicting pulse waveforms, including but not limited to those not in S310 to S330:

[0057] S310, construct the pulse wave envelope curve, and perform fitting through the envelope curve, wherein the fitting includes one of cubic spline fitting, least squares fitting, Gaussian fitting and polynomial fitting.

[0058] In some embodiments, the average pressure corresponds to the maximum value of the pulse wave in the inflation / deflation measurement method. Both diastolic and systolic pressure have a certain proportional relationship with this maximum value. Therefore, the maximum value of the pulse wave is a key parameter when calculating blood pressure. However, since the pressure signal collected by the sensor is discrete, the maximum value of the collected pulse wave may not be the same as the maximum value of the pulse wave during the measurement process.

[0059] S320 searches for the maximum amplitude of the pulse wave envelope curve and uses the maximum amplitude as one of the pulse wave characteristics.

[0060] S330 calculates the pulse rate, blood pressure, and maximum inflation pressure based on the peak amplitude of the pulse wave characteristics, the time interval between adjacent peaks and the waveform start point, and the maximum value of the envelope curve, and stores at least one of the pulse rate, blood pressure, and maximum inflation pressure as the prediction result.

[0061] S400 compares the reliability index with a preset threshold and performs inflation and deflation compensation on the cuff based on the comparison results.

[0062] In some embodiments, reference Figure 5 The example illustrates a workflow diagram of an intelligent measurement module based on predicted inflation prediction results, including but not limited to steps S410 to S420.

[0063] S410, obtain credibility metrics;

[0064] S420, compare the confidence index with the preset threshold; if the confidence index is greater than the preset threshold, the inflation prediction result is used as the final measurement result; if the confidence index is less than or equal to the preset threshold, the maximum inflation pressure and the air replenishment strategy during the deflation process are adjusted according to the confidence index. The replenishment strategy includes inflating the cuff to the target pressure, and, when entering the deflation stage, using the prediction result to assist in the deflation measurement.

[0065] In some embodiments, the interactive interface displays the interactive and displayed content, such as the interface displaying evaluation factors, the display of the original pressure wave, the display of the processed pulse wave, and the display interface of intermediate processes such as numerical values ​​and curves.

[0066] In some embodiments, the waveforms displayed through the interface may include the original pressure waveform and the processed pulse waveform; the displayed parameters may include pulse rate, systolic blood pressure, diastolic blood pressure, mean blood pressure, etc.; in addition, there may be prompts, such as whether the current measurement method is inflation measurement or deflation measurement, or prompts for the current confidence index status or score (high, medium, low, or a specific score within the range of 100 to 0).

[0067] In some embodiments, reference Figure 6 It disclosed a detailed flowchart of the inflation-predictive blood pressure measurement process, which includes:

[0068] Inflation prediction stage;

[0069] Specifically, the pulse waveform is extracted from the acquired raw pressure waveform, and pulse wave feature information is obtained and stored. This feature information includes at least the amplitude, the time interval between two adjacent pulse wave peaks or troughs, and the maximum value Amax of the pulse wave waveform envelope. The prediction result is output, and the reliability Re of the prediction result is calculated. The prediction result can be pulse rate, blood pressure value, maximum inflation pressure value, etc.

[0070] Next, the blood pressure intelligent decision-making unit enters the system. Based on the reliability index obtained during the inflation prediction phase, it determines whether the reliability is greater than a preset first threshold. If it is greater than the threshold, the prediction result is directly output to the display system as the final measurement result. At this point, cuff inflation stops, and the rapid deflation phase begins. After deflation, one round of measurement is complete. In this case, the blood pressure measurement time can be effectively shortened, and the accuracy of the results is high. If the reliability index is not greater than the preset first threshold, the initial inflation pressure and inflator strategy for deflation measurement are adjusted according to the reliability index. The cuff continues to be inflated and pressurized until the target pressure is reached. Then, the cuff inflation stops, and the deflation phase begins. Referring to the prediction results from the inflation phase and the pulse wave characteristic information obtained during the deflation phase, blood pressure is calculated, and the measurement result is output to the display system. After deflation, the entire measurement process is complete. The measurement process under these conditions references information obtained during the inflation phase, making it more resistant to interference than traditional deflation measurement methods. Because the maximum inflation pressure and replenishment strategy are adjusted based on information from the inflation process, the number of repeated inflation and deflation cycles is reduced, so the total time is at most comparable to that of traditional deflation measurement methods.

[0071] In some embodiments, the process steps are further detailed as follows:

[0072] Real-time acquisition of raw pressure waveforms;

[0073] Wavelet analysis or adaptive filtering methods are used to separate the pulse wave and cuff static pressure signal from the original pressure waveform. Other alternative filtering methods can be used. This is only an example for illustration and not a limitation on the method.

[0074] Pulse wave detection and pulse wave feature extraction. Specifically, pulse wave features are extracted from the detection results, including peak amplitude and time interval between adjacent peaks or waveform start points.

[0075] The pulse wave envelope curve is constructed using cubic spline fitting or least squares fitting. Since the mean pressure corresponds to the maximum pulse wave value in the inflation / deflation measurement method, and both diastolic and systolic pressure have a certain proportional relationship with this maximum value, the maximum pulse wave value is a key parameter when calculating blood pressure. However, because the pressure signal acquired by the sensor is discrete, the acquired maximum pulse wave value may not be the same as the maximum pulse wave value during the measurement process. Therefore, fitting the pulse wave peak envelope curve is necessary. Many fitting methods exist, such as cubic spline fitting, least squares fitting, Gaussian fitting, and polynomial fitting. The input data for fitting is the pulse wave peak amplitude and its corresponding position information.

[0076] The maximum amplitude Amax of the pulse wave envelope curve is searched and used as one of the characteristics of the pulse wave.

[0077] Based on pulse wave characteristics such as peak amplitude, time interval between adjacent peaks or waveform start points, and the maximum value Amax of the envelope curve, the pulse rate, blood pressure, and maximum inflation pressure are calculated and stored in the memory as prediction results.

[0078] The core steps of the inflation prediction technology are now complete: the confidence index Re of the prediction results is calculated. Finally, the prediction results and confidence index of the inflation prediction stage are input and intelligent measurement is performed. Based on the confidence index, the system intelligently selects whether to perform the blood pressure measurement during the inflation stage or the deflation stage.

[0079] For implementing intelligent measurement, please refer to... Figure 5 The flowchart shown intelligently determines whether to directly use the prediction result as the final output based on the reliability index of the inflation prediction stage. When the reliability index is greater than the preset threshold, the inflation prediction result is sent to the display system as the final measurement result; if the reliability index is not greater than the preset threshold, the maximum inflation pressure and the air replenishment strategy during the deflation process are adjusted according to the reliability index. Inflation is stopped when the target pressure is reached, and the deflation stage begins. The prediction result assists in the deflation measurement, calculates the blood pressure value, and outputs it to the display device.

[0080] In some embodiments, when the confidence level is below a threshold, pulse wave characteristic information obtained during the inflation phase, such as rise time and interval between adjacent peaks, can be matched with pulse wave characteristics during the deflation phase. This can improve resistance to exercise, and blood pressure calculation is based on the characteristic information of the pulse wave, thus enabling assisted deflation measurement.

[0081] The technical solution of the embodiments of the present invention refers to the information obtained during the inflation stage in its measurement process, which has stronger anti-interference ability than the traditional deflation measurement method. Because the maximum inflation pressure and air replenishment strategy are adjusted according to the information of the inflation process, the number of repeated inflation and deflation is reduced, so the total time is at most the same as the traditional deflation measurement method.

[0082] Figure 7 This is a diagram of a blood pressure measurement and analysis device for inflation prediction according to an embodiment of the present invention. The device includes a data acquisition module 710, a feature extraction module 720, an intelligent prediction module 730, and a compensation module 740.

[0083] The system includes: an acquisition module for inflating the cuff and acquiring the original pressure waveform based on the blood pressure measurement request predicted by inflation; a feature extraction module for extracting the pulse waveform from the original pressure waveform and performing feature extraction on the pulse waveform to obtain pulse wave feature information; an intelligent prediction module for predicting the inflation process based on the pulse wave feature information to obtain the prediction result and the reliability index of the prediction result; and a compensation module for comparing the reliability index with a preset threshold and performing inflation and deflation compensation on the cuff based on the comparison result.

[0084] Exemplarily, with the cooperation of the acquisition module, feature extraction module, intelligent prediction module, and compensation module in the device, the embodiment device can implement any of the aforementioned inflation prediction blood pressure measurement methods. Specifically, in response to an inflation prediction blood pressure measurement request, the cuff is inflated and pressurized, and the original pressure waveform is acquired; a pulse waveform is extracted from the original pressure waveform, and feature extraction is performed on the pulse waveform to obtain pulse wave feature information; the inflation process is predicted based on the pulse wave feature information to obtain the prediction result and a reliability index of the prediction result; the reliability index is compared with a preset threshold, and inflation and deflation compensation is performed on the cuff based on the comparison result. The embodiments of the present invention adjust the inflation and deflation strategy of the deflation measurement process based on the reliability index, including strategies for initial inflation pressure and in-process inflation. Pulse feature information can also assist in blood pressure calculation during the deflation phase, which can reduce the number of repeated inflations and deflations, improve the comfort of the subject, and improve the accuracy of blood pressure measurement.

[0085] This invention also provides an electronic device, which includes a processor and a memory;

[0086] The memory stores the program;

[0087] The processor executes a program to perform the aforementioned inflation-predictive blood pressure measurement method; the electronic device has the function of carrying and running the software system for inflation-predictive blood pressure measurement provided in the embodiments of the present invention, such as a personal computer (PC), mobile phone, smartphone, personal digital assistant (PDA), wearable device, PPC, tablet computer, etc.

[0088] This invention also provides a computer-readable storage medium storing a program that is executed by a processor to implement the inflation prediction blood pressure measurement method as described above.

[0089] In some alternative embodiments, the functions / operations mentioned in the block diagrams may not occur in the order shown in the operation diagrams. For example, depending on the functions / operations involved, two consecutively shown blocks may actually be executed substantially simultaneously, or the blocks may sometimes be executed in reverse order. Furthermore, the embodiments presented and described in the flowcharts of this invention are provided by way of example to provide a more comprehensive understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is altered and sub-operations described as part of a larger operation are executed independently.

[0090] This invention also discloses a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device can read the computer instructions from the computer-readable storage medium and execute the computer instructions, causing the computer device to perform the aforementioned inflation-prediction blood pressure measurement method.

[0091] Furthermore, although the invention has been described in the context of functional modules, it should be understood that, unless otherwise stated, one or more of the described functions and / or features may be integrated into a single physical device and / or software module, or one or more functions and / or features may be implemented in a separate physical device or software module. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding the invention. Rather, given the properties, functions, and internal relationships of the various functional modules in the apparatus disclosed herein, the actual implementation of the module will be understood within the scope of conventional skill of an engineer. Therefore, those skilled in the art can implement the invention as set forth in the claims using ordinary techniques without excessive experimentation. It is also understood that the specific concepts disclosed are merely illustrative and not intended to limit the scope of the invention, which is determined by the full scope of the appended claims and their equivalents.

[0092] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0093] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0094] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0095] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0096] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0097] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

[0098] The above is a detailed description of the preferred embodiments of the present invention, but the present invention is not limited to the embodiments described. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention, and these equivalent modifications or substitutions are all included within the scope defined by the claims of this application.

Claims

1. A method for measuring blood pressure based on inflation prediction, characterized in that, include: In response to a blood pressure measurement request based on inflation prediction, the cuff is inflated and pressurized to obtain the raw pressure waveform; The pulse waveform is extracted from the original pressure waveform, and the pulse waveform is subjected to feature extraction to obtain pulse wave feature information; The inflation process is predicted based on the pulse wave characteristic information, and the prediction results and the reliability index of the prediction results are obtained. The confidence index is compared with a preset threshold, and the cuff is inflated and deflated based on the comparison results. The step of predicting the inflation process based on the pulse wave characteristic information to obtain the prediction result includes: Construct a pulse wave envelope curve, and perform fitting through the envelope curve, wherein the fitting includes one of cubic spline fitting, least squares fitting, Gaussian fitting, and polynomial fitting; Search for the maximum amplitude of the pulse wave envelope curve and use the maximum amplitude as one of the pulse wave characteristics; The pulse rate, blood pressure and maximum inflation pressure are calculated based on the peak amplitude of the pulse wave characteristics, the time interval between adjacent peaks and the waveform start point, and the maximum value of the envelope curve. At least one of the pulse rate, blood pressure and maximum inflation pressure is stored as the prediction result. The comparison of the reliability index with a preset threshold, and the subsequent inflation and deflation compensation of the cuff based on the comparison result, includes: If the confidence index is greater than the preset threshold, the inflation prediction result will be used as the final measurement result. If the reliability index is less than or equal to the preset threshold, the supplementary strategy for the maximum inflation pressure and the deflation process is adjusted according to the reliability index. The supplementary strategy includes inflating the cuff to the target pressure and, when entering the deflation stage, assisting in the deflation measurement by using the prediction results.

2. The method for measuring blood pressure based on inflation prediction according to claim 1, characterized in that, Extracting the pulse waveform from the original pressure waveform includes: One of wavelet analysis and adaptive filtering methods is used to separate the pulse wave and cuff static pressure signal from the original pressure waveform.

3. The method for measuring blood pressure based on inflation prediction according to claim 1, characterized in that, The step of extracting features from the pulse waveform to obtain pulse wave feature information includes: The pulse wave detection algorithm extracts at least one of the following from the pulse waveform: peak amplitude, adjacent peaks, and time interval between the waveform start point.

4. The method for measuring blood pressure based on inflation prediction according to claim 1, characterized in that, The method further includes: The original pressure waveform, the processed pulse waveform, and at least one of the blood pressure parameters are displayed through an interactive interface. The blood pressure parameters include at least one of pulse rate, systolic blood pressure, diastolic blood pressure, and mean blood pressure. In addition, it also includes the ability to view measurement type, reliability index status, and blood pressure score through an interactive interface.

5. The method for measuring blood pressure based on inflation prediction according to claim 4, characterized in that, The method further includes: The data collection, feature extraction, prediction, inflation, and deflation are converted into visual data using corresponding evaluation factors and dynamically displayed on the interactive interface.

6. A blood pressure measuring device with inflation prediction, characterized in that, include: The data acquisition module is used to inflate and pressurize the cuff according to the blood pressure measurement request predicted by inflation, and to obtain the raw pressure waveform. The feature extraction module is used to extract the pulse waveform from the original pressure waveform, perform feature extraction on the pulse waveform, and obtain pulse wave feature information. The intelligent measurement module is used to predict the inflation process based on the pulse wave feature information, and obtain the prediction result and the reliability index of the prediction result. Specifically, it constructs a pulse wave envelope curve, performs fitting on the envelope curve, wherein the fitting includes one of cubic spline fitting, least squares fitting, Gaussian fitting and polynomial fitting; searches for the maximum amplitude of the pulse wave envelope curve, and uses the maximum amplitude as one of the pulse wave features; calculates the pulse rate, blood pressure and maximum inflation pressure based on the peak amplitude of the pulse wave features, the time interval between adjacent peaks and the waveform start point, and the maximum value of the envelope curve, and stores at least one of the pulse rate, blood pressure and maximum inflation pressure as the prediction result. The compensation module is used to compare the confidence index with a preset threshold, and perform inflation and deflation compensation on the cuff according to the comparison result. If the confidence index is greater than the preset threshold, the inflation prediction result is used as the final measurement result; if the confidence index is less than or equal to the preset threshold, the maximum inflation pressure and the supplementary strategy of the deflation process are adjusted according to the confidence index. The supplementary strategy includes inflating the cuff to the target pressure, and, when entering the deflation stage, using the prediction result to assist in the deflation measurement.

7. An electronic device, characterized in that, Including the processor and memory; The memory is used to store programs; The processor executes the program to implement the inflation prediction method for blood pressure measurement as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The storage medium stores a program that is executed by a processor to implement the inflation prediction method for blood pressure measurement as described in any one of claims 1-5.

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