A blood pressure measurement method, system and computer equipment for simulated teaching

Abstract

The present invention relates to the field of blood pressure measurement technology, and in particular to a blood pressure measurement method, system, and computer device for simulated teaching. The present invention simulates the pressure waveforms of inflation and deflation and the average slope of inflation and deflation during the measurement process, and can automatically adjust according to different wearing tightness, thereby reducing the impact of wearing errors on measurement results. By fitting and adjusting the slope and curvature of the blood pressure waveform, the present invention can compensate for errors caused by inaccurate cuff wearing and tightness problems in traditional blood pressure measurement methods, thereby improving measurement accuracy. By real-time monitoring of the residual between the blood pressure waveform and the standard waveform and adjusting the cuff position to eliminate errors, the accuracy of blood pressure measurement is improved. Data distribution is judged by the residual kurtosis, ensuring measurement reliability. A real-time feedback system avoids problems with inaccurate cuff wearing position and tightness, thereby improving the efficiency, accuracy, and patient comfort of the entire blood pressure measurement process.

Description

Technical Field

[0001] The present invention relates to the technical field of blood pressure measurement, and in particular to a blood pressure measurement method, system and computer equipment for simulated teaching. Background Art

[0002] Common errors with traditional sphygmomanometers stem from operator experience and the influence of the measurement environment. For clinicians in the early stages of training or learning, using traditional sphygmomanometers to measure blood pressure presents significant challenges, making it difficult to accurately master measurement techniques and prone to measurement errors. Furthermore, some simulated blood pressure measurement methods based on real samples, such as those using simulation models or software to simulate blood pressure changes, lack realism and are invasive, making them difficult to fully meet the needs of simulation-based teaching.

[0003] The existing blood pressure measurement method is to measure the actual pressure value of the sphygmomanometer by simulating the pressure of the inflated cuff to determine the systolic and diastolic blood pressure values, and then compare the blood pressure measurement results with the pre-set values ​​on the controller to ensure that the blood pressure measurement results are accurate. However, the above blood pressure measurement method has the problem of deviation between the final measurement result and the actual result due to the inaccurate wearing position of the simulated cuff and the inability to feedback the tightness. Summary of the Invention

[0004] The main purpose of the present invention is to provide a blood pressure measurement method for simulated teaching, aiming to solve the technical problems in the prior art.

[0005] The present invention provides a blood pressure measurement method for simulated teaching, comprising:

[0006] Obtaining an initial blood pressure waveform diagram of the simulated blood pressure measurement cuff at an initial tightness within a preset time period at an initial measurement position on the arm;

[0007] Obtaining an average inflation slope and an average deflation slope according to the initial blood pressure waveform, and adjusting the measurement tightness of the simulated blood pressure measurement cuff according to the average deflation slope and the average inflation slope;

[0008] Obtaining a first adjusted blood pressure waveform within a preset time period after adjusting the tightness of the simulated blood pressure measurement cuff, obtaining an air pressure standard deviation based on the first adjusted blood pressure waveform, and determining whether the air pressure standard deviation is less than a preset standard deviation;

[0009] If the air pressure standard deviation is less than the preset standard deviation, the position of the simulated blood pressure measurement cuff is adjusted, and a second adjusted blood pressure waveform diagram within a preset time period after the position of the simulated blood pressure measurement cuff is adjusted is obtained;

[0010] Obtaining a first slope and a first curvature of the second adjusted blood pressure waveform at a plurality of first time points and a second slope and a second curvature of the standard blood pressure waveform at a plurality of first time points, and performing fitting adjustment on the second adjusted blood pressure waveform according to the plurality of first slopes, first curvatures, second slopes, and second curvatures to obtain a fitted blood pressure waveform;

[0011] Obtaining a residual mean according to the fitted blood pressure waveform and the standard blood pressure waveform, and obtaining a residual kurtosis according to the residual mean;

[0012] Determining whether the residual kurtosis is within a preset kurtosis interval;

[0013] If the residual kurtosis is within the preset kurtosis interval, it is determined that the residual mean conforms to the normal distribution, and it is determined that the preset measurement position of the simulated blood pressure measurement cuff is accurate at this time;

[0014] If the residual kurtosis is not within the preset kurtosis interval, it is determined that the residual mean does not conform to the normal distribution, and the process returns to the step of adjusting the position of the simulated blood pressure measurement cuff until the residual kurtosis is within the preset kurtosis interval.

[0015] Preferably, the step of adjusting the measurement tightness of the simulated blood pressure measurement cuff according to the average deflation slope and the average inflation slope comprises:

[0016] Obtaining an average inflation slope, and determining whether the average inflation slope is within a first preset slope range;

[0017] If the average inflation slope is not within the first preset slope range, it is determined that the preset tightness of the simulated blood pressure measurement cuff is inaccurate, and the preset tightness of the simulated blood pressure measurement cuff is adjusted in real time until the average inflation slope is within the first preset slope range;

[0018] If the inflation average slope is greater than the first preset slope range, further determining whether the deflation average slope is within the second preset slope range;

[0019] If the deflation average slope is not within the second preset slope range, it is determined that the preset tightness of the simulated blood pressure measurement cuff is inaccurate, and the preset tightness of the simulated blood pressure measurement cuff is adjusted in real time until the deflation average slope is within the second preset slope range, and the adjusted tightness is marked as the measured tightness;

[0020] If the average deflation slope is within the second preset slope range, it is determined that the preset tightness of the simulated blood pressure measurement cuff is correct, and the preset tightness is marked as the measured tightness.

[0021] Preferably, the step of obtaining the air pressure standard deviation according to the first adjusted blood pressure waveform diagram comprises:

[0022] Obtaining the simulated cuff deflation pressures at multiple second time points according to the first adjusted blood pressure waveform, and obtaining an average deflation pressure based on the multiple deflation pressures;

[0023] Obtaining the simulated cuff inflation pressures at multiple second time points according to the first adjusted blood pressure waveform, and obtaining an average deflation pressure based on the multiple inflation pressures;

[0024] The pressure standard deviation is calculated based on the inflation pressure mean, the deflation pressure mean, multiple simulated cuff inflation pressures, and multiple simulated cuff deflation pressures, wherein the calculation formula is:

[0025]

[0026] Among them, Q(BZ) represents the standard deviation of air pressure, F(QJ) represents the mean of deflated air pressure, and F(QY) n Indicates the nth simulated cuff inflation pressure, N indicates the number of simulated cuff inflation pressures, n indicates the sequence number of simulated cuff inflation pressures, C(QJ) indicates the mean inflation pressure, C(QY) m Indicates the mth simulated cuff deflation pressure, M indicates the number of simulated cuff deflation pressures, and m indicates the sequence number of the simulated cuff deflation pressures.

[0027] Preferably, the step of obtaining the simulated cuff deflation pressures at a plurality of second time points according to the first adjusted blood pressure waveform graph comprises:

[0028] Obtaining a deflated blood pressure waveform and an inflated blood pressure waveform according to the first adjusted blood pressure waveform diagram;

[0029] Acquiring systolic blood pressure, deflation phase angle and first cardiac time point according to the deflation blood pressure waveform;

[0030] Obtaining diastolic pressure according to the inflation blood pressure waveform;

[0031] obtaining an average pulse pressure based on the diastolic and systolic pressures;

[0032] The simulated cuff deflation pressure is obtained according to the average pulse pressure, systolic pressure, first cardiac time point and deflation phase angle.

[0033] Preferably, the step of fitting and adjusting the second adjusted blood pressure waveform diagram according to the plurality of first slopes, first curvatures, second slopes, and second curvatures to obtain a fitted blood pressure waveform diagram comprises:

[0034] Obtaining a corresponding slope difference according to each of the first slope and the second slope;

[0035] Obtaining a corresponding curvature difference according to each of the first curvature and the second curvature;

[0036] The fitting error value is calculated based on the plurality of slope differences and curvature differences, wherein the calculation formula is:

[0037]

[0038] Among them, N(WC) represents the fitting error value, X(LC) k represents the kth slope difference, Q(LC) k represents the kth curvature difference, k represents the sequence number of the slope difference, and K represents the number of slope differences;

[0039] Obtaining a corresponding slope gradient loss according to the fitting error value and each of the first slopes, and adjusting the first slope according to each of the slope gradient losses to obtain a corresponding fitting slope;

[0040] Obtaining a corresponding curvature gradient loss according to the fitting error value and each first curvature, and adjusting the first curvature according to each curvature gradient loss to obtain a corresponding fitting curvature;

[0041] The second adjusted blood pressure waveform graph is fitted and adjusted according to each of the fitting slopes and fitting curvatures to obtain a fitted blood pressure waveform graph.

[0042] Preferably, the step of obtaining a residual mean according to the fitted blood pressure waveform and the standard blood pressure waveform, and obtaining a residual kurtosis according to the residual mean, comprises:

[0043] Obtaining the fitted blood pressure value of the fitted blood pressure waveform at each time point;

[0044] Obtaining the standard blood pressure value of the standard blood pressure waveform at each time point;

[0045] Obtaining a blood pressure residual value according to each of the fitted blood pressure values ​​and the corresponding standard blood pressure value;

[0046] Obtaining a residual mean according to the plurality of blood pressure residual values, and obtaining a residual standard deviation according to the residual mean;

[0047] The residual kurtosis is calculated based on the residual standard deviation, the residual mean, and the multiple blood pressure residual values, wherein the calculation formula is:

[0048]

[0049] Among them, C(FD) represents the residual kurtosis, C(BZ) represents the residual standard deviation, C(JZ) represents the residual mean, X(YC) iRepresents the i-th blood pressure residual value, S represents the number of blood pressure residual values, and i represents the sequence number of the blood pressure residual value.

[0050] This application also provides a simulated teaching blood pressure measurement system, comprising:

[0051] The first acquisition module is used to obtain an initial blood pressure waveform diagram of the simulated blood pressure measurement cuff at an initial tightness within a preset time period at an initial measurement position on the arm;

[0052] a determination module, configured to obtain an inflation average slope and a deflation average slope according to the initial blood pressure waveform, and adjust the measurement tightness of the simulated blood pressure measurement cuff according to the deflation average slope and the inflation average slope;

[0053] a first judgment module, configured to obtain a first adjusted blood pressure waveform within a preset time period after adjusting the tightness of the simulated blood pressure measurement cuff, obtain an air pressure standard deviation based on the first adjusted blood pressure waveform, and determine whether the air pressure standard deviation is less than a preset standard deviation;

[0054] If the air pressure standard deviation is not less than the preset standard deviation, it is determined that the preset measurement position of the simulated blood pressure measurement cuff is inaccurate;

[0055] If the air pressure standard deviation is less than the preset standard deviation, the position of the simulated blood pressure measurement cuff is adjusted, and a second adjusted blood pressure waveform diagram within a preset time period after the position of the simulated blood pressure measurement cuff is adjusted is obtained;

[0056] a fitting module, configured to obtain a first slope and a first curvature of the second adjusted blood pressure waveform at a plurality of first time points, and a second slope and a second curvature of the standard blood pressure waveform at a plurality of first time points, and perform fitting adjustment on the second adjusted blood pressure waveform according to the plurality of first slopes, first curvatures, second slopes, and second curvatures to obtain a fitted blood pressure waveform;

[0057] a second acquisition module, configured to acquire a residual mean according to the fitted blood pressure waveform and the standard blood pressure waveform, and acquire a residual kurtosis according to the residual mean;

[0058] A second judgment module is used to judge whether the residual kurtosis is within a preset kurtosis range;

[0059] If the residual kurtosis is within the preset kurtosis interval, it is determined that the residual mean conforms to the normal distribution, and it is determined that the preset measurement position of the simulated blood pressure measurement cuff is accurate at this time;

[0060] If the residual kurtosis is not within the preset kurtosis interval, it is determined that the residual mean does not conform to the normal distribution, and the process returns to the step of adjusting the position of the simulated blood pressure measurement cuff until the residual kurtosis is within the preset kurtosis interval.

[0061] Preferably, the fitting module includes:

[0062] a first acquiring unit, configured to acquire a corresponding slope difference according to each of the first slope and the second slope;

[0063] a second acquiring unit, configured to acquire a corresponding curvature difference according to each of the first curvature and the second curvature;

[0064] A calculation unit is used to calculate a fitting error value based on the plurality of slope differences and curvature differences, wherein the calculation formula is:

[0065]

[0066] Among them, N(WC) represents the fitting error value, X(LC) k represents the kth slope difference, Q(LC) k represents the kth curvature difference, k represents the sequence number of the slope difference, and K represents the number of slope differences;

[0067] a first adjustment unit, configured to obtain a corresponding slope gradient loss according to the fitting error value and each of the first slopes, and adjust the first slope according to each of the slope gradient losses to obtain a corresponding fitting slope;

[0068] a second adjustment unit, configured to obtain a corresponding curvature gradient loss according to the fitting error value and each of the first curvatures, and adjust the first curvature according to each of the curvature gradient losses to obtain a corresponding fitting curvature;

[0069] The fitting unit is used to perform fitting adjustment on the second adjusted blood pressure waveform diagram according to each of the fitting slopes and fitting curvatures to obtain a fitted blood pressure waveform diagram.

[0070] The present invention also provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned simulated teaching blood pressure measurement method when executing the computer program.

[0071] The present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-mentioned simulated teaching blood pressure measurement method.

[0072] The beneficial effects of the present invention are as follows: by analyzing the slope during inflation and deflation, the present invention can effectively evaluate the quality of the blood pressure measurement process and help adjust the measurement method; by simulating the pressure waveform of inflation and deflation and the average slope of inflation and deflation during the measurement process, it can automatically adjust according to different wearing tightness, thereby reducing the impact of wearing errors on the measurement results; by fitting the slope and curvature of the blood pressure waveform, it can compensate for the errors caused by inaccurate cuff wearing and tightness problems in traditional blood pressure measurement methods, thereby improving the measurement accuracy, reducing human interference, and providing more personalized and accurate blood pressure data for different individuals. The advantage of this method is that it improves the intelligence level of blood pressure measurement, reduces operational requirements, makes the equipment more adaptable to different environments and users, improves the reliability of blood pressure measurement, makes the measurement results closer to the actual blood pressure, can more accurately reflect the pressure changes in blood vessels, and further improves measurement accuracy. By real-time monitoring of the residual between the blood pressure waveform and the standard waveform and adjusting the cuff position to eliminate errors, the accuracy of blood pressure measurement is improved. The data distribution is judged by the residual kurtosis to ensure the reliability of the measurement. The real-time feedback system avoids the problem of inaccurate cuff wearing position and tightness, thereby improving the efficiency, accuracy and patient comfort of the entire blood pressure measurement process. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 Schematic diagram of a method flow according to an embodiment of the present invention.

[0074] Figure 2 FIG. 1 is a schematic diagram of the device structure according to an embodiment of the present invention.

[0075] Figure 3 This is a schematic diagram of the internal structure of a computer device according to an embodiment of the present application.

[0076] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0077] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0078] like Figure 1-Figure 3 As shown, the present application provides a simulated teaching blood pressure measurement method, comprising:

[0079] S1, obtaining an initial blood pressure waveform of a simulated blood pressure measurement cuff at an initial tightness within a preset time period at an initial measurement position on the arm;

[0080] S2. Obtaining an average inflation slope and an average deflation slope according to the initial blood pressure waveform, and adjusting the measurement tightness of the simulated blood pressure measurement cuff according to the average deflation slope and the average inflation slope;

[0081] S3, obtaining a first adjusted blood pressure waveform within a preset time period after adjusting the tightness of the simulated blood pressure measurement cuff, obtaining an air pressure standard deviation based on the first adjusted blood pressure waveform, and determining whether the air pressure standard deviation is less than a preset standard deviation;

[0082] If the air pressure standard deviation is less than the preset standard deviation, the position of the simulated blood pressure measurement cuff is adjusted, and a second adjusted blood pressure waveform diagram within a preset time period after the position of the simulated blood pressure measurement cuff is adjusted is obtained;

[0083] S4. Obtaining a first slope and a first curvature of the second adjusted blood pressure waveform at multiple first time points and a second slope and a second curvature of the standard blood pressure waveform at multiple first time points, and performing fitting adjustment on the second adjusted blood pressure waveform according to the multiple first slopes, first curvatures, second slopes, and second curvatures to obtain a fitted blood pressure waveform.

[0084] S5. Obtaining a residual mean according to the fitted blood pressure waveform and the standard blood pressure waveform, and obtaining a residual kurtosis according to the residual mean;

[0085] S6. Determine whether the residual kurtosis is within a preset kurtosis range;

[0086] If the residual kurtosis is within the preset kurtosis interval, it is determined that the residual mean conforms to the normal distribution, and it is determined that the preset measurement position of the simulated blood pressure measurement cuff is accurate at this time;

[0087] If the residual kurtosis is not within the preset kurtosis interval, it is determined that the residual mean does not conform to the normal distribution, and the process returns to the step of adjusting the position of the simulated blood pressure measurement cuff until the residual kurtosis is within the preset kurtosis interval.

[0088] As described in steps S1-S6 above, common errors of traditional sphygmomanometers come from the operator's experience, the influence of the measurement environment, etc. For clinicians in the early stages of training or learning, it is very difficult to use traditional sphygmomanometers to measure blood pressure. It is difficult to accurately master the measurement skills, which can easily lead to measurement errors. In addition, some simulated blood pressure measurement methods based on real sample collection, such as using simulation models or software to simulate blood pressure changes, also have the problem of lack of realism and operational intervention, which makes it difficult to fully meet the needs of simulation teaching. The existing blood pressure measurement method is to measure the actual pressure value of the sphygmomanometer by simulating the pressure of the inflatable cuff to determine the systolic and diastolic blood pressure values, and then compare the blood pressure measurement results with the pre-set values ​​on the controller to determine whether the blood pressure measurement results are accurate. However, the above-mentioned blood pressure measurement method will cause the final measurement result to deviate from the actual result due to the inaccurate wearing position of the simulated cuff and the inability to feedback the tightness. The present invention obtains the inflation average slope and the deflation average slope through the initial blood pressure waveform diagram of the simulated blood pressure measurement cuff under the initial tightness at the initial measurement position of the arm within a preset time period, wherein the initial blood pressure waveform diagram is a plane waveform diagram with the horizontal axis as time and the vertical axis as the blood pressure value. The simulated blood pressure measurement cuff refers to a sphygmomanometer cuff used to simulate blood pressure measurement. The inflation average slope generally refers to the average rate of change of pressure over time during the inflation stage (such as the inflatable cuff used when measuring blood pressure) during the blood pressure measurement process. The deflation average slope refers to the average rate of change of pressure over time during the deflation stage (such as the gradual deflation of the cuff) during the blood pressure measurement process. The measurement tightness of the simulated blood pressure measurement cuff is adjusted by the deflation average slope and the inflation average slope. For example, when the user's simulated blood pressure measurement cuff is wrapped around the user's arm, since the user's arm is of different thicknesses, the tightness of the precise simulation of the blood pressure measurement cuff can not only be adjusted according to the thickness of the user's arm, but also can better reflect the actual blood pressure measurement environment, and the tightness is adjusted accordingly. Adjustment can avoid measurement errors caused by inaccurate cuff wearing position or inappropriate tightness, which is crucial to the accuracy of the blood pressure monitor, because the accuracy of blood pressure measurement is usually affected by the cuff position, tightness and wearing method. By analyzing the slope during inflation and deflation, the quality of the measurement process can be effectively evaluated, helping to adjust the measurement method, thereby reducing the interference of human factors on the results. Existing blood pressure measurement technology usually relies on the correct wearing of the blood pressure cuff on the arm and assumes that the wearing tightness is appropriate. However, due to inconsistent wearing methods, there are often large deviations in the measurement results. By simulating the pressure waveform of inflation and deflation, as well as the average slope of inflation and deflation during the measurement process, the system can make real-time adjustments according to different wearing tightness, thereby reducing the impact of wearing errors on the measurement results. The first adjusted blood pressure waveform within a preset time period after adjusting the simulated blood pressure measurement cuff measurement tightness is used to obtain the air pressure standard deviation and determine whether the air pressure standard deviation is less than the preset standard deviation. If the air pressure standard deviation is not less than the preset standard deviation,It is determined that the preset measurement position of the simulated blood pressure measurement cuff is inaccurate at this time; if the air pressure standard deviation is less than the preset standard deviation, the position of the simulated blood pressure measurement cuff is adjusted, and a second adjusted blood pressure waveform within a preset time period after the simulated blood pressure measurement cuff is adjusted is obtained, and the second adjusted blood pressure waveform is fitted and adjusted by the first slope and first curvature of the second adjusted blood pressure waveform at multiple first time points and the second slope and second curvature of the standard blood pressure waveform at multiple first time points to obtain a fitted blood pressure waveform, wherein the standard blood pressure waveform refers to the normal blood pressure waveform of the simulated user's arm under a simulated environment when the wearing position and tightness of the simulated blood pressure measurement cuff are correct. The standardized graph of blood pressure fluctuation characteristics ensures that the pressure waveform during blood pressure measurement is more accurate by adjusting the position and tightness of the simulated cuff, thereby improving the reliability and accuracy of the measurement. By obtaining the air pressure standard deviation and comparing it with the preset standard, it can be determined whether there is an inaccurate wearing position problem, thereby avoiding measurement errors caused by improper operation. By comparing and fitting the first and second adjusted blood pressure waveform graphs, the system can detect whether the wearing position is appropriate and adjust it in real time, avoiding the influence of position error on blood pressure measurement results. By simulating the dynamic adjustment of the pressure of the inflated cuff, real-time optimization can be performed based on the data obtained during the actual measurement process. This dynamic feedback mechanism helps to judge and adjust various parameters in the blood pressure measurement process in real time, making the measurement process more personalized and intelligent. For example, by fitting and adjusting characteristic parameters such as the first slope and curvature, it can more accurately capture changes in the blood pressure waveform and optimize the pressure waveform during the measurement process to achieve more accurate blood pressure values. By repeatedly adjusting the cuff position and fitting the blood pressure waveform graph, this method can eliminate accidental errors caused by factors such as improper wearing and inaccurate tightness. This method ensures the reliability of the measurement results and is especially suitable for patients who need to take blood pressure measurements multiple times, avoiding inconsistent measurement results caused by changes in external factors, and simulating an inflatable cuff. The pressure and waveform feedback can provide users or equipment operators with clearer and more intuitive guidance, ensuring that errors are not easy to occur during the measurement process. This feedback mechanism is not only helpful in result analysis, but also in real-time operation, it can promptly detect improper wearing or inappropriate pressure adjustment. The slope and curvature of the blood pressure waveform reflect the changes in hemodynamics, especially the blood pressure fluctuations during cardiac contraction and diastole. By fitting and adjusting the slope and curvature of the blood pressure waveform, the errors caused by inaccurate cuff wearing and tightness problems in traditional blood pressure measurement methods can be compensated, thereby improving the measurement accuracy, reducing human interference, and providing more personalized and accurate blood pressure data for different individuals. The advantage of this method is that it improves the intelligence level of blood pressure measurement, reduces operational requirements, makes the equipment more adaptable to different environments and users, and improves the reliability of blood pressure measurement. The residual mean is obtained by fitting the blood pressure waveform and the standard blood pressure waveform.And obtain the residual kurtosis based on the residual mean, wherein the residual mean is the mean of the difference (i.e., residual) between the actual value and the fitted value during the fitting process. For blood pressure waveform fitting, the residual mean represents the average deviation between the fitted value and the actual measured value, and the residual kurtosis is a statistic that measures the residual distribution morphology, especially describing the "thickness" of its tail or the sharpness of the distribution, and then judges whether the residual kurtosis is within the preset kurtosis interval. If the residual kurtosis is within the preset kurtosis interval, it is determined that the residual mean conforms to the normal distribution, and it is determined that the preset measurement position of the simulated blood pressure measurement cuff at this time is accurate. If the residual kurtosis is not within the preset kurtosis interval, it is determined that the residual mean does not conform to the normal distribution, and returns to the real-time acquisition of the simulated blood pressure measurement cuff at this time. Before the step of displaying the blood pressure waveform, the measurement position of the simulated blood pressure measurement cuff is adjusted in real time until the residual kurtosis is within the preset kurtosis range. Traditional blood pressure measurement methods usually rely on fixed position and pressure to measure blood pressure, but due to reasons such as the cuff wearing position, tightness or improper inflation, errors in the measurement results may occur. This method monitors the residual of the blood pressure waveform and the standard waveform in real time and adjusts the cuff position to eliminate the error, thereby improving the accuracy of blood pressure measurement. Residual kurtosis is an important indicator for measuring the distribution of data, especially for judging whether the data is normally distributed. Normality Normal distribution refers to the ideal distribution of a blood pressure waveform. Therefore, determining whether the residuals fall within the expected kurtosis range can be used as a criterion for determining whether the measurement process is appropriate. If the residuals conform to a normal distribution, this indicates no significant errors in the measurement process, resulting in more reliable results. If the residual kurtosis falls outside the preset range, the system automatically provides feedback and adjusts the cuff position. This real-time feedback mechanism eliminates human intervention, ensuring continued accuracy in blood pressure measurements and preventing deviations caused by improper wear or cuff tightness. By fitting the waveform and analyzing the residuals, the system can more accurately identify the sources of these deviations and automatically correct them, reducing human interference. Automated adjustment reduces human error in traditional blood pressure measurements. Users no longer need to repeatedly confirm the cuff position; the system automatically adjusts based on real-time feedback. This not only improves measurement efficiency but also reduces the burden of manual operation, enhancing the accuracy and automation of blood pressure measurements and reducing the impact of human error. Using residual kurtosis to determine data distribution ensures measurement reliability. The real-time feedback system also avoids inaccurate cuff placement and tightness, thereby improving the efficiency, accuracy, and patient comfort of the entire blood pressure measurement process.

[0089] In one embodiment, the step S2 of adjusting the measurement tightness of the simulated blood pressure measurement cuff according to the average deflation slope and the average inflation slope includes:

[0090] S21, obtaining an average inflation slope, and determining whether the average inflation slope is within a first preset slope range;

[0091] S22. If the average inflation slope is not within the first preset slope range, determining that the preset tightness of the simulated blood pressure measurement cuff is inaccurate, and adjusting the preset tightness of the simulated blood pressure measurement cuff in real time until the average inflation slope is within the first preset slope range;

[0092] S23, if the inflation average slope is greater than the first preset slope range, further determining whether the deflation average slope is within a second preset slope range;

[0093] S24. If the average deflation slope is not within the second preset slope range, determining that the preset tightness of the simulated blood pressure measurement cuff is inaccurate, adjusting the preset tightness of the simulated blood pressure measurement cuff in real time until the average deflation slope is within the second preset slope range, and marking the adjusted tightness as the measured tightness;

[0094] S25. If the average deflation slope is within the second preset slope range, it is determined that the preset tightness of the simulated blood pressure measurement cuff is correct, and the preset tightness is marked as the measurement tightness.

[0095] As described in the above steps S21-S25, the present invention determines whether the average inflation slope is within the first preset slope interval. If the average inflation slope is not within the first preset slope interval, it is determined that the preset tightness of the simulated blood pressure measurement cuff is inaccurate at this time, and the preset tightness of the simulated blood pressure measurement cuff is adjusted in real time until the average inflation slope is within the first preset slope interval. If the average inflation slope is greater than the first preset slope interval, it is further determined whether the average deflation slope is within the second preset slope interval. If the average deflation slope is not within the second preset slope interval, it is determined that the preset tightness of the simulated blood pressure measurement cuff is inaccurate at this time, and the preset tightness of the simulated blood pressure measurement cuff is adjusted until the average deflation slope is within the second preset slope interval, and the adjusted tightness is marked as the measured tightness. If the average deflation slope is within the second preset slope interval, it is determined that the preset tightness of the simulated blood pressure measurement cuff is inaccurate. The tightness is correct, and the preset tightness is marked as the measured tightness. By judging the average inflation slope and the average deflation slope, the system can monitor and adjust the tightness of the simulated blood pressure measurement cuff in real time. This dynamic adjustment can eliminate the measurement error caused by uncomfortable cuff tightness or improper wearing, thereby improving the accuracy of the measurement results. When the average inflation slope does not meet the preset first slope interval, the system will automatically adjust the cuff tightness until it meets the standard. This can avoid abnormal inflation speed caused by improper cuff tightness. Similarly, if the average deflation slope is not within the second preset interval, the system will also adjust the tightness to ensure that the deflation process meets the standard. This process helps to reduce errors in the measurement process and make the measurement results more accurate. Traditional blood pressure measurement methods may rely on manual settings and visual inspection of the cuff tightness, and this automated real-time adjustment method can effectively reduce deviations caused by improper manual operation. For example, a user may not be able to accurately determine whether the cuff is too loose or too tight. This method, however, ensures that each measurement is taken at the appropriate tightness through calculation and automatic adjustment. By using an intelligent algorithm to determine the slope during inflation and deflation, the system can automatically adjust under different conditions, ensuring more reliable results for each blood pressure measurement. In actual use, factors such as arm circumference, cuff material, and inflation method can affect blood pressure measurement results. Dynamic adjustment of the cuff tightness can effectively reduce the interference of these factors on the measurement results, ensuring the most accurate results possible. This method combines slope interval determination with automatic control technology to make the blood pressure measurement process more precise and automated, avoiding errors caused by human judgment and instability caused by manual adjustment. During the automatic adjustment of tightness, the system can more efficiently handle changes in blood pressure cuff pressure, ensuring linear stability during inflation and deflation, and facilitating accurate measurement of systolic and diastolic blood pressure. By determining the average slope and adjusting the tightness during inflation and deflation, the system not only reduces errors caused by improper wear but also improves the device's intelligence level and user experience, resulting in more accurate and reliable blood pressure measurements.

[0096] In one embodiment, the step S3 of obtaining the air pressure standard deviation according to the first adjusted blood pressure waveform diagram includes:

[0097] S31. Obtaining a plurality of simulated cuff deflation pressures at second time points according to the first adjusted blood pressure waveform, and obtaining an average deflation pressure based on the plurality of deflation pressures;

[0098] S32. Obtaining the simulated cuff inflation pressures at multiple second time points according to the first adjusted blood pressure waveform, and obtaining an average deflation pressure based on the multiple inflation pressures;

[0099] S33. Calculate the pressure standard deviation based on the inflation pressure average, the deflation pressure average, multiple simulated cuff inflation pressures, and multiple simulated cuff deflation pressures, wherein the calculation formula is:

[0100]

[0101] Among them, Q(BZ) represents the standard deviation of air pressure, F(QJ) represents the mean of deflated air pressure, and F(QY) n Indicates the nth simulated cuff inflation pressure, N indicates the number of simulated cuff inflation pressures, n indicates the sequence number of simulated cuff inflation pressures, C(QJ) indicates the mean inflation pressure, C(QY) m Indicates the mth simulated cuff deflation pressure, M indicates the number of simulated cuff deflation pressures, and m indicates the sequence number of the simulated cuff deflation pressures.

[0102] As described in steps S31-S33 above, the present invention obtains the simulated cuff deflation pressure and the simulated cuff inflation pressure at multiple time points through the initial blood pressure waveform, obtains the deflation pressure average based on the multiple deflation pressures, and obtains the deflation pressure average based on the multiple inflation pressures, and then calculates the pressure standard deviation through the inflation pressure average, the deflation pressure average, the multiple simulated cuff inflation pressures, and the multiple simulated cuff deflation pressures. By obtaining the inflation and deflation pressures at multiple time points and calculating their averages and standard deviations, the instantaneous error in the measurement process can be reduced. Thereby improving the stability and accuracy of blood pressure measurement. Blood pressure fluctuation is usually caused by factors such as changes in cuff pressure and inaccurate wearing position. By analyzing the changing trend of air pressure, blood pressure values ​​can be judged more accurately to avoid deviations caused by errors in single measurements. The pressure value of the simulated cuff can reflect the relationship between the cuff pressure and the actual blood vessel pressure. Combined with data analysis at multiple time points, it can compensate to a certain extent for errors caused by inaccurate cuff wearing (such as different tightness, position offset, etc.). This can effectively reduce the risk of blood pressure errors caused by improper wearing. By calculating indicators such as the standard deviation of air pressure, a certain degree of feedback on the tightness of the cuff can be provided. When the cuff pressure changes are unstable or uncomfortably tight, the change in standard deviation can provide a signal to help alert the user or automatically adjust the measuring equipment, thereby ensuring the stability of the cuff pressure and improving the reliability of the measurement. By calculating the mean and standard deviation of multiple inflation and deflation pressure points, the impact of irregular human operation on the measurement results can be reduced, ensuring more objective and accurate results. The blood pressure fluctuation patterns of different individuals may be different. This method can flexibly adapt to these differences by analyzing multiple inflation and deflation pressure data. It can better reflect the physiological status of different people and avoid the bias caused by standardized measurement methods. By analyzing the changing trends of air pressure in real time, it can provide more dynamic and immediate blood pressure monitoring. This is very valuable for clinical scenarios that require continuous monitoring or dynamic assessment of blood pressure (such as those with hypertension or heart disease). Real-time calculation of air pressure standard deviation and mean can help doctors better understand the changes in patients' blood pressure and make more timely adjustments and interventions.

[0103] In one embodiment, the step S31 of acquiring the simulated cuff deflation pressures at multiple second time points according to the first adjusted blood pressure waveform graph includes:

[0104] S311, obtaining a deflated blood pressure waveform and an inflated blood pressure waveform according to the first adjusted blood pressure waveform diagram;

[0105] S312, obtaining systolic blood pressure, deflation phase angle and first cardiac time point according to the deflation blood pressure waveform;

[0106] S313, obtaining diastolic pressure according to the inflation blood pressure waveform;

[0107] S314, obtaining an average pulse pressure according to the diastolic pressure and the systolic pressure;

[0108] S315, obtaining the simulated cuff deflation pressure according to the average pulse pressure, systolic pressure, first cardiac time point and deflation phase angle;

[0109] S316. Calculate the simulated cuff inflation pressure according to the diastolic pressure, the mean pulse pressure, the second cardiac time point, and the inflation phase angle, wherein the calculation formula is:

[0110]

[0111] Where M(XC) represents the simulated cuff inflation pressure, S(ZY) represents the diastolic pressure, M(AP) represents the mean pulse pressure, X(ZQ) represents the second cardiac time point, and C(XW) represents the inflation phase angle.

[0112] As described in the above steps S311-S316, the present invention obtains the deflated blood pressure waveform and the inflated blood pressure waveform through the initial blood pressure waveform diagram, obtains the systolic pressure, the deflation phase angle and the first cardiac time point through the deflated blood pressure waveform diagram, obtains the diastolic pressure, the inflation phase angle and the second cardiac time point through the inflation blood pressure waveform diagram, obtains the average pulse pressure through the diastolic pressure and the systolic pressure, obtains the simulated cuff deflation pressure through the average pulse pressure, the systolic pressure, the first cardiac time point and the deflation phase angle, and calculates the simulated cuff inflation pressure through the diastolic pressure, the average pulse pressure, the second cardiac time point and the inflation phase angle, wherein the calculation method of calculating the simulated cuff deflation pressure through the average pulse pressure, the systolic pressure, the first cardiac time point and the deflation phase angle is the same as that of the simulated cuff inflation pressure. The calculation method is the same. The deflation phase angle is usually used to describe the phase characteristics of the blood pressure deflation process. It is related to the phase change of the blood pressure signal and may involve the frequency domain analysis of the blood pressure waveform, especially the phase difference of the blood pressure waveform change during the measurement process. The cardiac time point refers to the specific time point in the cardiac cycle in the blood pressure waveform, usually referring to the time mark of cardiac contraction (the starting point of the cardiac cycle) and diastole (the end point of the cardiac diastole). The pulse pressure refers to the difference between the systolic pressure and the diastolic pressure in the cardiac cycle, and the average pulse pressure refers to the average value of the pulse pressure over a period of time. The traditional blood pressure measurement method relies on the cuff to be correctly worn on the upper arm or wrist, but due to inaccurate wearing position or improper operation, it is easy to cause measurement errors. By using a preset blood pressure waveform By analyzing and calculating the inflation and deflation pressure of the simulated cuff, accurate blood pressure values ​​can be obtained through waveform analysis without relying on the accuracy of the cuff wearing position. Even if the cuff position deviates, as long as the waveform data is accurate, the wearing error can be corrected to provide more accurate blood pressure values. By analyzing the waveform during inflation and deflation, the tightness of the cuff can be indirectly reflected, so that it can be judged whether the tightness of the cuff is appropriate. If the cuff is too loose or too tight, the method can prompt the user to adjust the cuff pressure, making the final measurement result more accurate and reducing errors caused by inappropriate tightness. By simulating the inflation and deflation pressure of the cuff and combining it with the blood pressure waveform, the algorithm is used to calculate the inflation and deflation pressures corresponding to the actual blood pressure. This simulation method It is more precise and can accurately reflect the actual blood pressure fluctuations of the human body. The core of this method is to calculate more accurate blood pressure values ​​through detailed analysis of the blood pressure waveform, and no longer rely on traditional simple pressure values. By automatically analyzing the blood pressure waveform to calculate blood pressure, it can reduce the impact of human factors on the measurement results and improve the consistency and reliability of the measurement. In addition, the analysis process of the blood pressure waveform is relatively standardized and automated, which can better reduce the impact of external factors on the results. By analyzing the phase angle of deflation and inflation and the cardiac time points (such as the first and second cardiac time points), this method can accurately synchronize the relationship between blood pressure fluctuations and the cardiac cycle, thereby maintaining high measurement accuracy under various physiological conditions (such as hypertension, hypotension, arrhythmia, etc.).This method does not rely solely on conventional blood pressure measurement tools (such as a blood pressure cuff), but instead uses a dynamic blood pressure waveform to estimate blood pressure. This method is adaptable to individuals of different body shapes and health conditions. For example, for some people whose blood pressure waveforms change due to arteriosclerosis, traditional measurement methods may be biased, while the estimation method based on the blood pressure waveform can better reflect the actual blood pressure level.

[0113] In one embodiment, the step S4 of fitting and adjusting the second adjusted blood pressure waveform according to the plurality of first slopes, first curvatures, second slopes, and second curvatures to obtain a fitted blood pressure waveform includes:

[0114] S41, obtaining a corresponding slope difference according to each of the first slope and the second slope;

[0115] S42, obtaining a corresponding curvature difference according to each of the first curvature and the second curvature;

[0116] S43. Calculate a fitting error value based on the plurality of slope differences and curvature differences, wherein the calculation formula is:

[0117]

[0118] Among them, N(WC) represents the fitting error value, X(LC) k represents the kth slope difference, Q(LC) k represents the kth curvature difference, k represents the sequence number of the slope difference, and K represents the number of slope differences;

[0119] S44. Obtaining a corresponding slope gradient loss according to the fitting error value and each of the first slopes, and adjusting the first slope according to each of the slope gradient losses to obtain a corresponding fitting slope;

[0120] S45. Obtaining a corresponding curvature gradient loss according to the fitting error value and each first curvature, and adjusting the first curvature according to each curvature gradient loss to obtain a corresponding fitting curvature;

[0121] S46. Perform fitting adjustment on the second adjusted blood pressure waveform diagram according to each of the fitting slopes and fitting curvatures to obtain a fitted blood pressure waveform diagram.

[0122] As described in the above steps S41-S46, the present invention obtains a corresponding slope difference through each first slope and the second slope, and obtains a corresponding curvature difference according to each first curvature and the second curvature, and calculates a fitting error value based on multiple slope differences and curvature differences, obtains a corresponding slope gradient loss through the fitting error value and each first slope, and obtains a corresponding curvature gradient loss according to the fitting error value and each first curvature, and adjusts the first slope according to each slope gradient loss to obtain a corresponding fitting slope, and adjusts the first curvature according to each curvature gradient loss to obtain a corresponding fitting curvature, and then fits and adjusts the second adjusted blood pressure waveform diagram according to each fitting slope and fitting curvature to obtain a fitted blood pressure waveform diagram, wherein the fitting error value refers to the difference between the standard blood pressure waveform diagram (reference waveform) and the adjusted blood pressure waveform diagram (actual measurement waveform). , this difference is quantified by slope and curvature, and a more accurate blood pressure waveform is obtained by calculating multiple slope differences and curvature differences. This method can more carefully reflect the relationship between the blood pressure waveform and the actual physiological changes. This fine fitting can reduce the error caused by inaccurate cuff wearing position or inappropriate tightness, thereby improving the accuracy of the final measurement results. By fitting the slope and curvature and combining it with actual physiological data, this method can compensate for the error of inaccurate cuff wearing to a certain extent, and correct the deviation in the measurement process by simulating the blood pressure waveform, thereby reducing the possibility of inaccuracy. The slope and curvature are adjusted by calculating the fitting error value, thereby dynamically optimizing the measurement process. Through this dynamic adjustment, the blood pressure measurement system can be automatically calibrated according to the physiological characteristics of different individuals, further improving personalized measurement effects. For example, for different cuff tightness or wearing postures, the system will automatically optimize and adjust according to the feedback value, so that the final blood pressure measurement result is more in line with reality. By simulating the pressure of the inflated cuff and accurately fitting the waveform, this method can more accurately determine the systolic and diastolic blood pressure values ​​of the heart, avoiding the errors that may exist in traditional blood pressure measurement methods, especially in traditional methods where the cuff is not worn accurately or the tightness is not appropriate, which may lead to inaccurate measurement results. In the actual measurement process, the fitting and error adjustment of the blood pressure waveform enable the system to provide real-time feedback and optimize the measurement process, thereby reducing the source of errors in the blood pressure measurement process, especially when the cuff is not worn accurately or the tightness perception is different, by fitting and adjusting the slope and curvature to compensate for these errors, more accurate and reliable blood pressure data can be obtained, which is of great significance to improving the accuracy, comfort and stability of blood pressure measurement.

[0123] In one embodiment, the step S5 of obtaining a residual mean according to the fitted blood pressure waveform and the standard blood pressure waveform, and obtaining a residual kurtosis according to the residual mean, includes:

[0124] S51, obtaining the fitted blood pressure value of the fitted blood pressure waveform at each time point;

[0125] S52, obtaining the standard blood pressure value of the standard blood pressure waveform at each time point;

[0126] S53, obtaining a blood pressure residual value according to each of the fitted blood pressure values ​​and the corresponding standard blood pressure value;

[0127] S54, obtaining a residual mean according to the plurality of blood pressure residual values, and obtaining a residual standard deviation according to the residual mean;

[0128] S55. Calculate the residual kurtosis based on the residual standard deviation, the residual mean, and the multiple blood pressure residual values, wherein the calculation formula is:

[0129]

[0130] Among them, C(FD) represents the residual kurtosis, C(BZ) represents the residual standard deviation, C(JZ) represents the residual mean, X(YC) i Represents the i-th blood pressure residual value, S represents the number of blood pressure residual values, and i represents the sequence number of the blood pressure residual value.

[0131] As described in the above steps S51-S55, the present invention obtains a blood pressure residual value by fitting the blood pressure waveform at each time point and the standard blood pressure value of the standard blood pressure waveform, and obtains a residual mean through multiple blood pressure residual values, and obtains a residual standard deviation based on the residual mean, and then calculates the residual kurtosis based on the residual standard deviation, the residual mean and multiple blood pressure residual values. By fitting the blood pressure waveform and calculating the residual, it can help to more accurately restore the true waveform of the blood pressure, thereby overcoming the errors caused by improper cuff wearing or inaccurate cuff pressure simulation in traditional measurement methods. By comparing the fitted waveform with the standard waveform, these errors can be better corrected and the accuracy of the measurement results can be improved. By fitting the blood pressure waveform and using an algorithm to analyze the residual value, the measurement process can be more automated without manual intervention, which reduces the influence of human factors on the measurement results. By performing statistical analysis on multiple blood pressure residual values, indicators such as the residual mean and the residual standard deviation are obtained, which can reflect the systematic error and random error in the measurement process to a certain extent. The smaller the residual standard deviation, the closer the fitting result is to the standard. Smaller differences in blood pressure values ​​lead to higher measurement accuracy. Calculating residual kurtosis can further analyze anomalies in the blood pressure waveform and help identify potential measurement issues, such as waveform distortion caused by an improper cuff or uneven pressure variations. This further improves the stability and reliability of blood pressure measurements. Waveform fitting and residual analysis can reduce the need for precise cuff placement, improving user convenience when measuring blood pressure and effectively eliminating the impact of cuff fitting errors. This is especially true when the cuff cannot be precisely adjusted, allowing accurate blood pressure data to be obtained through waveform fitting. Residual analysis methods based on fitted blood pressure waveforms can adapt to individual differences because they do not rely solely on a fixed physical model. Instead, they dynamically adjust through data fitting methods, resulting in more personalized blood pressure data. Therefore, blood pressure waveform fitting and residual analysis can automatically and accurately correct errors in traditional blood pressure measurement methods, especially in cases of inaccurate cuff placement or improper operation. This not only improves measurement accuracy but also reduces the impact of human error, making blood pressure measurement more reliable and convenient, and adaptable to different individuals and complex environmental conditions.

[0132] This application also provides a simulated teaching blood pressure measurement system, comprising:

[0133] The first acquisition module is used to obtain an initial blood pressure waveform diagram of the simulated blood pressure measurement cuff at an initial tightness within a preset time period at an initial measurement position on the arm;

[0134] a determination module, configured to obtain an inflation average slope and a deflation average slope according to the initial blood pressure waveform, and adjust the measurement tightness of the simulated blood pressure measurement cuff according to the deflation average slope and the inflation average slope;

[0135] a first judgment module, configured to obtain a first adjusted blood pressure waveform within a preset time period after adjusting the tightness of the simulated blood pressure measurement cuff, obtain an air pressure standard deviation based on the first adjusted blood pressure waveform, and determine whether the air pressure standard deviation is less than a preset standard deviation;

[0136] If the air pressure standard deviation is not less than the preset standard deviation, it is determined that the preset measurement position of the simulated blood pressure measurement cuff is inaccurate;

[0137] If the air pressure standard deviation is less than the preset standard deviation, the position of the simulated blood pressure measurement cuff is adjusted, and a second adjusted blood pressure waveform diagram within a preset time period after the position of the simulated blood pressure measurement cuff is adjusted is obtained;

[0138] a fitting module, configured to obtain a first slope and a first curvature of the second adjusted blood pressure waveform at a plurality of first time points, and a second slope and a second curvature of the standard blood pressure waveform at a plurality of first time points, and perform fitting adjustment on the second adjusted blood pressure waveform according to the plurality of first slopes, first curvatures, second slopes, and second curvatures to obtain a fitted blood pressure waveform;

[0139] a second acquisition module, configured to acquire a residual mean according to the fitted blood pressure waveform and the standard blood pressure waveform, and acquire a residual kurtosis according to the residual mean;

[0140] A second judgment module is used to judge whether the residual kurtosis is within a preset kurtosis range;

[0141] If the residual kurtosis is within the preset kurtosis interval, it is determined that the residual mean conforms to the normal distribution, and it is determined that the preset measurement position of the simulated blood pressure measurement cuff is accurate at this time;

[0142] If the residual kurtosis is not within the preset kurtosis interval, it is determined that the residual mean does not conform to the normal distribution, and the process returns to the step of adjusting the position of the simulated blood pressure measurement cuff until the residual kurtosis is within the preset kurtosis interval.

[0143] In one embodiment, the fitting module includes:

[0144] a first acquiring unit, configured to acquire a corresponding slope difference according to each of the first slope and the second slope;

[0145] a second acquiring unit, configured to acquire a corresponding curvature difference according to each of the first curvature and the second curvature;

[0146] A calculation unit is used to calculate a fitting error value based on the plurality of slope differences and curvature differences, wherein the calculation formula is:

[0147]

[0148] Among them, N(WC) represents the fitting error value, X(LC) k represents the kth slope difference, Q(LC) k represents the kth curvature difference, k represents the sequence number of the slope difference, and K represents the number of slope differences;

[0149] a first adjustment unit, configured to obtain a corresponding slope gradient loss according to the fitting error value and each of the first slopes, and adjust the first slope according to each of the slope gradient losses to obtain a corresponding fitting slope;

[0150] a second adjustment unit, configured to obtain a corresponding curvature gradient loss according to the fitting error value and each of the first curvatures, and adjust the first curvature according to each of the curvature gradient losses to obtain a corresponding fitting curvature;

[0151] The fitting unit is used to perform fitting adjustment on the second adjusted blood pressure waveform diagram according to each of the fitting slopes and fitting curvatures to obtain a fitted blood pressure waveform diagram.

[0152] It should be noted that each module and unit in the simulated teaching blood pressure measurement system corresponds one-to-one to the steps in the simulated teaching blood pressure measurement method.

[0153] like Figure 3 As shown, the present application also provides a computer device, which can be a server, and its internal structure can be as shown in FIG. Figure 3 As shown. The computer device includes a processor, a memory, a network interface and a database connected via a system bus. The processor of the computer is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store all data required for the process of simulating the teaching blood pressure measurement method. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, the simulation teaching blood pressure measurement method is implemented.

[0154] Those skilled in the art will understand that Figure 3 The structure shown in is merely a block diagram of a portion of the structure related to the present application solution and does not constitute a limitation on the computer device to which the present application solution is applied.

[0155] An embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, any one of the above-mentioned simulated teaching blood pressure measurement methods is implemented.

[0156] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media provided in this application and used in the embodiments may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct RAMbus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM).

[0157] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, apparatus, article, or method comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, apparatus, article, or method. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, apparatus, article, or method comprising the element.

[0158] The above description is only a preferred embodiment of the present application and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

[0159] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, apparatus, article, or method comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, apparatus, article, or method. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, apparatus, article, or method comprising the element.

[0160] The above description is only a preferred embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A blood pressure measurement method for simulated teaching, characterized in that: include: Obtaining an initial blood pressure waveform diagram of the simulated blood pressure measurement cuff at an initial tightness within a preset time period at an initial measurement position on the arm; Obtaining an average inflation slope and an average deflation slope according to the initial blood pressure waveform, and adjusting the measurement tightness of the simulated blood pressure measurement cuff according to the average deflation slope and the average inflation slope; Obtaining a first adjusted blood pressure waveform within a preset time period after adjusting the tightness of the simulated blood pressure measurement cuff, obtaining an air pressure standard deviation based on the first adjusted blood pressure waveform, and determining whether the air pressure standard deviation is less than a preset standard deviation; If the air pressure standard deviation is less than the preset standard deviation, the position of the simulated blood pressure measurement cuff is adjusted, and a second adjusted blood pressure waveform diagram within a preset time period after the position of the simulated blood pressure measurement cuff is adjusted is obtained; Obtaining a first slope and a first curvature of the second adjusted blood pressure waveform at a plurality of first time points and a second slope and a second curvature of the standard blood pressure waveform at a plurality of first time points, and performing fitting adjustment on the second adjusted blood pressure waveform according to the plurality of first slopes, first curvatures, second slopes, and second curvatures to obtain a fitted blood pressure waveform; Obtaining a residual mean according to the fitted blood pressure waveform and the standard blood pressure waveform, and obtaining a residual kurtosis according to the residual mean; Determining whether the residual kurtosis is within a preset kurtosis interval; If the residual kurtosis is within the preset kurtosis interval, it is determined that the residual mean conforms to the normal distribution, and it is determined that the preset measurement position of the simulated blood pressure measurement cuff is accurate at this time; If the residual kurtosis is not within the preset kurtosis interval, it is determined that the residual mean does not conform to the normal distribution, and the process returns to the step of adjusting the position of the simulated blood pressure measurement cuff until the residual kurtosis is within the preset kurtosis interval.

2. The blood pressure measurement method for simulation teaching according to claim 1, characterized in that: The step of adjusting the measurement tightness of the simulated blood pressure measurement cuff according to the average deflation slope and the average inflation slope comprises: Obtaining an average inflation slope, and determining whether the average inflation slope is within a first preset slope range; If the average inflation slope is not within the first preset slope range, it is determined that the preset tightness of the simulated blood pressure measurement cuff is inaccurate, and the preset tightness of the simulated blood pressure measurement cuff is adjusted in real time until the average inflation slope is within the first preset slope range; If the inflation average slope is greater than the first preset slope range, further determining whether the deflation average slope is within the second preset slope range; If the deflation average slope is not within the second preset slope range, it is determined that the preset tightness of the simulated blood pressure measurement cuff is inaccurate, and the preset tightness of the simulated blood pressure measurement cuff is adjusted in real time until the deflation average slope is within the second preset slope range, and the adjusted tightness is marked as the measured tightness; If the average deflation slope is within the second preset slope range, it is determined that the preset tightness of the simulated blood pressure measurement cuff is correct, and the preset tightness is marked as the measured tightness.

3. The blood pressure measurement method for simulation teaching according to claim 1, characterized in that: The step of obtaining the air pressure standard deviation according to the first adjusted blood pressure waveform diagram comprises: Obtaining the simulated cuff deflation pressures at multiple second time points according to the first adjusted blood pressure waveform, and obtaining an average deflation pressure based on the multiple deflation pressures; Obtaining the simulated cuff inflation pressures at multiple second time points according to the first adjusted blood pressure waveform, and obtaining an average deflation pressure based on the multiple inflation pressures; The pressure standard deviation is calculated based on the inflation pressure mean, the deflation pressure mean, multiple simulated cuff inflation pressures, and multiple simulated cuff deflation pressures, wherein the calculation formula is: Among them, Q(BZ) represents the standard deviation of air pressure, F(QJ) represents the mean of deflated air pressure, and F(QY) n Indicates the nth simulated cuff inflation pressure, N indicates the number of simulated cuff inflation pressures, n indicates the sequence number of simulated cuff inflation pressures, C(QJ) indicates the mean inflation pressure, C(QY) m Indicates the mth simulated cuff deflation pressure, M indicates the number of simulated cuff deflation pressures, and m indicates the sequence number of the simulated cuff deflation pressures.

4. The blood pressure measurement method for simulation teaching according to claim 3, characterized in that: The step of obtaining the simulated cuff deflation pressures at a plurality of second time points according to the first adjusted blood pressure waveform graph comprises: Obtaining a deflated blood pressure waveform and an inflated blood pressure waveform according to the first adjusted blood pressure waveform diagram; Acquiring systolic blood pressure, deflation phase angle and first cardiac time point according to the deflation blood pressure waveform; Obtaining diastolic pressure according to the inflation blood pressure waveform; obtaining an average pulse pressure based on the diastolic and systolic pressures; The simulated cuff deflation pressure is obtained according to the average pulse pressure, systolic pressure, first cardiac time point and deflation phase angle.

5. The blood pressure measurement method for simulation teaching according to claim 1, characterized in that: The step of fitting and adjusting the second adjusted blood pressure waveform diagram according to the plurality of first slopes, first curvatures, second slopes, and second curvatures to obtain a fitted blood pressure waveform diagram comprises: Obtaining a corresponding slope difference according to each of the first slope and the second slope; Obtaining a corresponding curvature difference according to each of the first curvature and the second curvature; The fitting error value is calculated based on the plurality of slope differences and curvature differences, wherein the calculation formula is: Among them, N(WC) represents the fitting error value, X(LC) k represents the kth slope difference, Q(LC) k represents the kth curvature difference, k represents the sequence number of the slope difference, and K represents the number of slope differences; Obtaining a corresponding slope gradient loss according to the fitting error value and each of the first slopes, and adjusting the first slope according to each of the slope gradient losses to obtain a corresponding fitting slope; Obtaining a corresponding curvature gradient loss according to the fitting error value and each first curvature, and adjusting the first curvature according to each curvature gradient loss to obtain a corresponding fitting curvature; The second adjusted blood pressure waveform graph is fitted and adjusted according to each of the fitting slopes and fitting curvatures to obtain a fitted blood pressure waveform graph.

6. The blood pressure measurement method for simulation teaching according to claim 1, characterized in that: The step of obtaining a residual mean according to the fitted blood pressure waveform and the standard blood pressure waveform, and obtaining a residual kurtosis according to the residual mean, comprises: Obtaining the fitted blood pressure value of the fitted blood pressure waveform at each time point; Obtaining the standard blood pressure value of the standard blood pressure waveform at each time point; Obtaining a blood pressure residual value according to each of the fitted blood pressure values ​​and the corresponding standard blood pressure value; Obtaining a residual mean according to the plurality of blood pressure residual values, and obtaining a residual standard deviation according to the residual mean; The residual kurtosis is calculated based on the residual standard deviation, the residual mean, and the multiple blood pressure residual values, wherein the calculation formula is: Among them, C(FD) represents the residual kurtosis, C(BZ) represents the residual standard deviation, C(JZ) represents the residual mean, X(YC) i Represents the i-th blood pressure residual value, S represents the number of blood pressure residual values, and i represents the sequence number of the blood pressure residual value.

7. A blood pressure measurement system for simulated teaching, characterized in that: include: The first acquisition module is used to obtain an initial blood pressure waveform diagram of the simulated blood pressure measurement cuff at an initial tightness within a preset time period at an initial measurement position on the arm; a determination module, configured to obtain an inflation average slope and a deflation average slope according to the initial blood pressure waveform, and adjust the measurement tightness of the simulated blood pressure measurement cuff according to the deflation average slope and the inflation average slope; a first judgment module, configured to obtain a first adjusted blood pressure waveform within a preset time period after adjusting the tightness of the simulated blood pressure measurement cuff, obtain an air pressure standard deviation based on the first adjusted blood pressure waveform, and determine whether the air pressure standard deviation is less than a preset standard deviation; If the air pressure standard deviation is not less than the preset standard deviation, it is determined that the preset measurement position of the simulated blood pressure measurement cuff is inaccurate; If the air pressure standard deviation is less than the preset standard deviation, the position of the simulated blood pressure measurement cuff is adjusted, and a second adjusted blood pressure waveform diagram within a preset time period after the position of the simulated blood pressure measurement cuff is adjusted is obtained; a fitting module, configured to obtain a first slope and a first curvature of the second adjusted blood pressure waveform at a plurality of first time points, and a second slope and a second curvature of the standard blood pressure waveform at a plurality of first time points, and perform fitting adjustment on the second adjusted blood pressure waveform according to the plurality of first slopes, first curvatures, second slopes, and second curvatures to obtain a fitted blood pressure waveform; a second acquisition module, configured to acquire a residual mean according to the fitted blood pressure waveform and the standard blood pressure waveform, and acquire a residual kurtosis according to the residual mean; A second judgment module is used to judge whether the residual kurtosis is within a preset kurtosis range; If the residual kurtosis is within the preset kurtosis interval, it is determined that the residual mean conforms to the normal distribution, and it is determined that the preset measurement position of the simulated blood pressure measurement cuff is accurate at this time; If the residual kurtosis is not within the preset kurtosis interval, it is determined that the residual mean does not conform to the normal distribution, and the process returns to the step of adjusting the position of the simulated blood pressure measurement cuff until the residual kurtosis is within the preset kurtosis interval.

8. The simulated teaching blood pressure measurement system according to claim 7, characterized in that: The fitting module includes: a first acquiring unit, configured to acquire a corresponding slope difference according to each of the first slope and the second slope; a second acquiring unit, configured to acquire a corresponding curvature difference according to each of the first curvature and the second curvature; A calculation unit is used to calculate a fitting error value based on the plurality of slope differences and curvature differences, wherein the calculation formula is: Among them, N(WC) represents the fitting error value, X(LC) k represents the kth slope difference, Q(LC) k represents the kth curvature difference, k represents the sequence number of the slope difference, and K represents the number of slope differences; a first adjustment unit, configured to obtain a corresponding slope gradient loss according to the fitting error value and each of the first slopes, and adjust the first slope according to each of the slope gradient losses to obtain a corresponding fitting slope; a second adjustment unit, configured to obtain a corresponding curvature gradient loss according to the fitting error value and each of the first curvatures, and adjust the first curvature according to each of the curvature gradient losses to obtain a corresponding fitting curvature; The fitting unit is used to perform fitting adjustment on the second adjusted blood pressure waveform diagram according to each of the fitting slopes and fitting curvatures to obtain a fitted blood pressure waveform diagram.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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