Blood pressure measuring method and system for simulation teaching and computer equipment

Abstract

The invention relates to the technical field of blood pressure measurement, in particular to a blood pressure measurement method and system for simulation teaching and computer equipment. By simulating the pressure waveforms of inflation and deflation and the average slope of inflation and deflation in the measurement process, automatic adjustment can be conducted according to different wearing tightness degrees, so that the influence of wearing errors on the measurement result is reduced, and the measurement accuracy is improved by conducting slope and curvature fitting adjustment on the blood pressure oscillogram. Errors caused by inaccurate wearing of a cuff and the problem of tightness in a traditional blood pressure measuring method can be made up, so that the measuring precision is improved, the errors are eliminated by monitoring the residual error of a blood pressure waveform and a standard waveform in real time and adjusting the position of the cuff, the blood pressure measuring accuracy is improved, data distribution is judged through residual error kurtosis, and the accuracy of blood pressure measurement is improved. The measuring reliability is ensured, the problem that the wearing position and tightness of the cuff are not accurate is solved through a real-time feedback system, and therefore the efficiency and accuracy of the whole blood pressure measuring process and the comfort degree of a patient are improved.

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 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 cause measurement errors. In addition, some simulated blood pressure measurement methods collected from real samples, such as using simulation models or software to simulate blood pressure changes, also lack realism and operational intervention, and are difficult to fully meet the needs of simulation 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 determine whether 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 a simulated blood pressure measurement cuff at an initial tightness within a preset time period at an initial measurement position of the arm;

[0007] Obtaining an average inflation slope and an average deflation slope according to the initial blood pressure waveform diagram, 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 according to 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] Acquire a first slope and a first curvature of the second adjusted blood pressure waveform graph at a plurality of first time points and a second slope and a second curvature of the standard blood pressure waveform graph at a plurality of first time points, and perform fitting adjustment on the second adjusted blood pressure waveform graph according to the plurality of the first slopes, the first curvatures, the second slopes and the second curvatures to obtain a fitted blood pressure waveform graph;

[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 interval;

[0017] If the inflation average 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, and the preset tightness of the simulated blood pressure measurement cuff is adjusted in real time until the inflation average slope is within the first preset slope interval;

[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 interval, 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 interval, and the adjusted tightness is marked as the measurement tightness;

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

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

[0022] Acquire the simulated cuff deflation pressures at multiple second time points according to the first adjusted blood pressure waveform, and acquire the deflation pressure average according to the multiple deflation pressures;

[0023] Acquire the simulated cuff inflation pressures at multiple second time points according to the first adjusted blood pressure waveform diagram, and acquire the average deflation pressure according to the multiple inflation pressures;

[0024] The pressure standard deviation is calculated according to the inflation pressure average, the deflation pressure average, a plurality of simulated cuff inflation pressures, and a plurality of 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 value 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 average 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 acquiring the simulated cuff deflation pressures at a plurality of second time points according to the first adjusted blood pressure waveform graph comprises:

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

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

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

[0031] Obtaining an average pulse pressure according to the diastolic pressure and the systolic pressure;

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

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

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

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

[0036] The fitting error value is calculated according to 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 of the first curvatures, and adjusting the first curvature according to each of the curvature gradient losses 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] Obtain 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 according to the residual standard deviation, the residual mean and a plurality of 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, and 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] The present application also provides a blood pressure measurement system for simulated teaching, comprising:

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

[0052] A determination module, used for obtaining an inflation average slope and a deflation average slope according to the initial blood pressure waveform diagram, and adjusting 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 is used to obtain a first adjusted blood pressure waveform diagram within a preset time period after adjusting the tightness of the simulated blood pressure measurement cuff, obtain an air pressure standard deviation according to the first adjusted blood pressure waveform diagram, and judge 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 at this time;

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

[0057] A second acquisition module is used to obtain a residual mean according to the fitted blood pressure waveform and the standard blood pressure waveform, and to obtain 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 interval;

[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 comprises:

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

[0063] A second acquisition 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 according to 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, including 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 on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned simulated teaching blood pressure measurement method are implemented.

[0072] The beneficial effects of the present invention are as follows: the present invention can effectively evaluate the quality of the blood pressure measurement process and help adjust the measurement method by analyzing the slope during inflation and deflation, and can automatically adjust according to different wearing tightness by simulating the pressure waveform of inflation and deflation and the average slope of inflation and deflation during measurement, thereby reducing the influence of wearing errors on measurement results; and can compensate for the errors caused by inaccurate cuff wearing and tightness problems in traditional blood pressure measurement methods by fitting and adjusting the slope and curvature of the blood pressure waveform, 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 the measurement accuracy. It monitors the residual between the blood pressure waveform and the standard waveform in real time and adjusts the cuff position to eliminate errors, thereby improving the accuracy of blood pressure measurement. 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 The figure is a schematic diagram of a method flow according to an embodiment of the present invention.

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

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

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

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

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

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

[0080] S2, obtaining an average inflation slope and an average deflation slope according to the initial blood pressure waveform diagram, 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 according to 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 graph at a plurality of first time points and a second slope and a second curvature of the standard blood pressure waveform graph at a plurality of first time points, and fitting and adjusting the second adjusted blood pressure waveform graph according to the plurality of the first slopes, the first curvatures, the second slopes and the second curvatures to obtain a fitted blood pressure waveform graph;

[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, determining whether the residual kurtosis is within a preset kurtosis interval;

[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 the above steps S1-S6, 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 is easy to cause measurement errors. In addition, some simulated blood pressure measurement methods for 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, and it is 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 pressure value and the diastolic pressure value, and then compare the blood pressure measurement result with the pre-set value on the controller to see if it is accurate. However, the above 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 within a preset time period at the initial measurement position of the arm, 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 the measurement of blood pressure, 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, and 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, and 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, due to the different thickness of the user's arm, the tightness of the accurate 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 Adjustment can avoid measurement errors caused by inaccurate cuff wearing position or inappropriate tightness, which is crucial to the accuracy of the sphygmomanometer, 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 obtained 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 graph within a preset time period after the simulated blood pressure measurement cuff is adjusted is obtained, and the second adjusted blood pressure waveform graph is fit-adjusted by the first slope and first curvature of the second adjusted blood pressure waveform graph at multiple first time points and the second slope and second curvature of the standard blood pressure waveform graph at multiple first time points to obtain a fitted blood pressure waveform graph, wherein the standard blood pressure waveform graph refers to a normal blood pressure waveform graph of a simulated user's arm when the wearing position and tightness of the simulated blood pressure measurement cuff are correct under a simulated environment. The standardized graph of blood pressure fluctuation characteristics ensures that the pressure waveform in the blood pressure measurement process 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, 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 in real time whether the wearing position is appropriate and make adjustments, avoiding the influence of position errors 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 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 in the measurement process to achieve a more accurate blood pressure value. 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, especially 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 prone 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, it can compensate for the errors caused by inaccurate cuff wearing and tightness problems in traditional blood pressure measurement methods, thereby improving 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 according to 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 obtain the real-time measurement position of the simulated blood pressure measurement cuff at this time. Before the step of drawing a 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 the cuff wearing position, tightness or improper inflation, etc., 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. The residual kurtosis is an important indicator for measuring the distribution form of data, especially for judging whether the data is normally distributed. Normal distribution Distribution is the distribution mode of blood pressure waveform under ideal conditions. Therefore, judging whether the residual meets the expected kurtosis range can be used as a criterion for judging whether the measurement process is appropriate. If the residual meets the normal distribution, it means that there is no obvious error in the measurement process and the measurement result is more reliable. If the residual kurtosis is not within the preset range, the system will automatically feedback and adjust the cuff position. This real-time feedback mechanism avoids human intervention, ensures the continuous accuracy of blood pressure measurement, and avoids deviations caused by improper wearing or cuff tightness. By fitting the waveform and analyzing the residual, the system can more accurately identify the source of these deviations and automatically correct them to reduce the interference of human factors. Through automatic adjustment, human operational errors in traditional blood pressure measurement are reduced. Users do not need to repeatedly confirm the cuff position. The system will automatically adjust according to real-time feedback. This not only improves measurement efficiency, but also reduces the burden of manual operation, improves the accuracy and automation of blood pressure measurement, and reduces the impact of human errors. The data distribution is judged by residual kurtosis to ensure the reliability of measurement, and 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. ,

[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 comprises:

[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 inflation average slope is not within the first preset slope interval, determining that the preset tightness of the simulated blood pressure measurement cuff is inaccurate at this time, and adjusting the preset tightness of the simulated blood pressure measurement cuff in real time until the inflation average slope is within the first preset slope interval;

[0092] S23, 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;

[0093] S24, if the deflation average 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, 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 interval, and the adjusted tightness is marked as the measurement tightness;

[0094] S25. If the deflation average slope is within the second preset slope interval, it is determined that the preset tightness of the simulated blood pressure measurement cuff is correct at this time, 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 measurement 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 at this time. 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 the cuff's tightness or improper wearing, thereby improving the accuracy of the measurement result. 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, the user may not be able to accurately judge whether the cuff is too loose or too tight, while this method ensures that each measurement is performed at an appropriate tightness through calculation and automatic adjustment. The system can automatically adjust under different conditions to ensure that each blood pressure measurement can obtain more reliable results. In actual use, factors such as arm circumference, cuff material, and inflation method of different people will affect the results of blood pressure measurement. By dynamically adjusting the tightness of the cuff, the interference of these factors on the measurement results can be effectively reduced to ensure that the results are as accurate as possible. This method combines slope interval judgment with automatic control technology to make the blood pressure measurement process more accurate and automated, avoiding errors caused by human judgment and instability caused by manual adjustment. In the process of automatically adjusting the tightness, the system can more efficiently handle changes in blood pressure cuff pressure, ensure linear stability during inflation and deflation, and help accurately measure systolic and diastolic blood pressure. By judging the average slope and adjusting the tightness during inflation and deflation, not only can the errors caused by improper wearing be reduced, but also the intelligence level of the device and user experience can be improved, thereby making the blood pressure measurement results more accurate and reliable.

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

[0097] S31, obtaining the simulated cuff deflation pressures at multiple second time points according to the first adjusted blood pressure waveform, and obtaining a deflation pressure average according to the multiple 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 the average deflation pressure according to the multiple inflation pressures;

[0099] S33, calculating the pressure standard deviation according to 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 value 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 average 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 the above steps S31-S33, 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 diagram, and obtains the deflation pressure mean according to the multiple deflation pressures and the deflation pressure mean according to the multiple inflation pressures, and then calculates the pressure standard deviation through the inflation pressure mean, the deflation pressure mean, 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 mean and standard deviation, 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, the blood pressure value 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 for errors caused by inaccurate cuff wearing (such as different tightness, position offset, etc.) to a certain extent, which can effectively reduce the risk of inaccurate wearing. The measurement error caused by this method can be compensated by calculating the standard deviation of air pressure and other indicators to provide a certain degree of feedback on the tightness of the cuff. When the cuff pressure changes unstable or is not tight enough, the change in the standard deviation can provide a signal to help remind the user or automatically adjust the measuring device, 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, and this method can flexibly adapt to these differences by analyzing multiple inflation and deflation pressure data. It can better reflect the physiological state of different people and avoid the deviation caused by standardized measurement methods. By analyzing the changing trend of air pressure in real time, it can provide more dynamic and immediate blood pressure monitoring, which is very valuable for some clinical scenarios that require continuous monitoring or dynamic evaluation of blood pressure (such as patients with hypertension or heart disease). Real-time calculation of the standard deviation and mean of air pressure 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 a plurality of second time points according to the first adjusted blood pressure waveform graph comprises:

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

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

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

[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, calculating the simulated cuff inflation pressure according to the diastolic pressure, the average pulse pressure, the second cardiac time point and the inflation phase angle, wherein the calculation formula is:

[0110]

[0111] Wherein, 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 a deflated blood pressure waveform and an inflated blood pressure waveform through an initial blood pressure waveform diagram, obtains systolic pressure, a deflation phase angle and a first cardiac time point through the deflated blood pressure waveform diagram, obtains diastolic pressure, an inflation phase angle and a second cardiac time point through the inflation blood pressure waveform diagram, obtains average pulse pressure through the diastolic pressure and systolic pressure, obtains a simulated cuff deflation pressure through the average pulse pressure, systolic pressure, the first cardiac time point and the deflation phase angle, and calculates a 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, 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 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 a specific time point in the heart cycle in the blood pressure waveform, usually referring to the time mark of heart contraction (the starting point of the cardiac cycle) and diastole (the end point of the diastolic period). 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 indicator waveform By analyzing the waveform during inflation and deflation, the user can indirectly reflect the tightness of the cuff, thereby determining whether the cuff is appropriately tight. 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 the error caused by inappropriate tightness. By simulating the inflation and deflation pressure of the cuff and combining it with the blood pressure waveform, the inflation and deflation pressures corresponding to the actual blood pressure are calculated using an algorithm. It is more precise and can accurately reflect the actual blood pressure fluctuations of the human body. The core of this method is to deduce more accurate blood pressure values ​​through detailed analysis of the waveform, and no longer rely on the traditional simple pressure value. By automatically analyzing the blood pressure waveform to deduce 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 heart cycle, thereby maintaining a 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 rather estimates blood pressure through a dynamic waveform graph, which can adapt to individuals of different body shapes and health conditions. For example, for some people whose blood pressure waveform changes 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 diagram according to the plurality of the first slopes, the first curvatures, the second slopes and the second curvatures to obtain the fitted blood pressure waveform diagram comprises:

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

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

[0116] S43, calculating a fitting error value according to 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, acquiring a corresponding curvature gradient loss according to the fitting error value and each of the first curvatures, and adjusting the first curvature according to each of the curvature gradient losses 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 fitting 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 according to 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 (actually measured 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 result. By fitting the slope and curvature and combining it with the 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 the personalized measurement effect. 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 the traditional method, when 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, these errors can be compensated by fitting and adjusting the slope and curvature to obtain more accurate and reliable blood pressure data, 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 the residual mean according to the fitted blood pressure waveform and the standard blood pressure waveform, and obtaining the residual kurtosis according to the residual mean, comprises:

[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 according to 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, and 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 the blood pressure residual value through the fitted blood pressure value of the blood pressure waveform at each time point and the standard blood pressure value of the standard blood pressure waveform, and obtains the residual mean through multiple blood pressure residual values, and obtains the residual standard deviation according to the residual mean, and then calculates the residual kurtosis according to 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 real 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 to improve the accuracy of the measurement results. By fitting the blood pressure waveform and analyzing the residual value using an algorithm, 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 errors and random errors in the measurement process to a certain extent. The smaller the residual standard deviation, the closer the fitting result is to the standard. The smaller the difference in blood pressure values, the higher the measurement accuracy. The calculation of residual kurtosis can further analyze the abnormal points of the blood pressure waveform and help discover potential measurement problems, such as waveform distortion caused by inappropriate cuffs or uneven pressure changes, thereby further improving the stability and reliability of blood pressure measurement. Through waveform fitting and residual analysis, the precise requirements for cuff wearing can be reduced, which to some extent improves the convenience of users when measuring blood pressure and can effectively eliminate the influence of cuff wearing errors. Especially in situations where the cuff cannot be accurately adjusted, accurate blood pressure data can still be obtained through waveform fitting. The residual analysis method based on the fitted blood pressure waveform can adapt to individual differences because it does not rely entirely on a fixed physical model, but is dynamically adjusted through a data fitting method to obtain more personalized blood pressure data. Therefore, through blood pressure waveform fitting and residual analysis, the errors in traditional blood pressure measurement methods can be automatically and accurately corrected, especially when the cuff is inaccurately worn or improperly operated. This not only improves the measurement accuracy, but also reduces the influence of human errors, making blood pressure measurement more reliable and convenient, and able to adapt to different individuals and complex environmental conditions.

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

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

[0134] A determination module, used for obtaining an inflation average slope and a deflation average slope according to the initial blood pressure waveform diagram, and adjusting 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 is used to obtain a first adjusted blood pressure waveform diagram within a preset time period after adjusting the tightness of the simulated blood pressure measurement cuff, obtain an air pressure standard deviation according to the first adjusted blood pressure waveform diagram, and judge 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 at this time;

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

[0139] A second acquisition module is used to obtain a residual mean according to the fitted blood pressure waveform and the standard blood pressure waveform, and to obtain 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 interval;

[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 comprises:

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

[0145] A second acquisition 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 according to 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 may be a server, and its internal structure may be as shown in Figure 3 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor designed by 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 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 through 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 of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing related 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 a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0157] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the presence of other identical elements in the process, device, article or method including 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 article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the presence of other identical elements in the process, device, article or method including 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 specification 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 a simulated blood pressure measurement cuff at an initial tightness within a preset time period at an initial measurement position of the arm; Obtaining an average inflation slope and an average deflation slope according to the initial blood pressure waveform diagram, 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 according to 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; Acquire a first slope and a first curvature of the second adjusted blood pressure waveform graph at a plurality of first time points and a second slope and a second curvature of the standard blood pressure waveform graph at a plurality of first time points, and perform fitting adjustment on the second adjusted blood pressure waveform graph according to the plurality of the first slopes, the first curvatures, the second slopes and the second curvatures to obtain a fitted blood pressure waveform graph; 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 interval; If the inflation average 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, and the preset tightness of the simulated blood pressure measurement cuff is adjusted in real time until the inflation average slope is within the first preset slope interval; 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 interval, 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 interval, and the adjusted tightness is marked as the measurement tightness; If the deflation average slope is within the second preset slope interval, it is determined that the preset tightness of the simulated blood pressure measurement cuff is correct at this time, and the preset tightness is marked as the measurement 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: Acquire the simulated cuff deflation pressures at multiple second time points according to the first adjusted blood pressure waveform, and acquire the deflation pressure average according to the multiple deflation pressures; Acquire the simulated cuff inflation pressures at multiple second time points according to the first adjusted blood pressure waveform diagram, and acquire the average deflation pressure according to the multiple inflation pressures; The pressure standard deviation is calculated according to the inflation pressure average, the deflation pressure average, a plurality of simulated cuff inflation pressures, and a plurality of 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 value 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 average 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 acquiring the simulated cuff deflation pressures at a plurality of second time points according to the first adjusted blood pressure waveform graph comprises: Acquire a deflated blood pressure waveform and an inflated blood pressure waveform according to the first adjusted blood pressure waveform diagram; Acquire systolic pressure, deflation phase angle and first cardiac time point according to the deflation blood pressure waveform diagram; Obtaining diastolic pressure according to the inflation blood pressure waveform diagram; Obtaining an average pulse pressure according to the diastolic pressure and the systolic pressure; The simulated cuff deflation pressure is obtained according to the average pulse pressure, the systolic pressure, the first cardiac time point and the 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 first slope, the first curvature, the second slope and the second curvature to obtain the fitted blood pressure waveform diagram comprises: Acquire a corresponding slope difference according to each of the first slope and the second slope; Acquire a corresponding curvature difference according to each of the first curvature and the second curvature; The fitting error value is calculated according to 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 of the first curvatures, and adjusting the first curvature according to each of the curvature gradient losses 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; Obtain 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 according to the residual standard deviation, the residual mean and a plurality of 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, and 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: A first acquisition module is used to obtain an initial blood pressure waveform diagram of a simulated blood pressure measurement cuff at an initial tightness within a preset time period at an initial measurement position of an arm; A determination module, used for obtaining an inflation average slope and a deflation average slope according to the initial blood pressure waveform diagram, and adjusting 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 is used to obtain a first adjusted blood pressure waveform diagram within a preset time period after adjusting the tightness of the simulated blood pressure measurement cuff, obtain an air pressure standard deviation according to the first adjusted blood pressure waveform diagram, and judge 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 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 diagram within a preset time period after the position of the simulated blood pressure measurement cuff is adjusted is obtained; a fitting module, used for obtaining a first slope and a first curvature of the second adjusted blood pressure waveform graph at a plurality of first time points and a second slope and a second curvature of the standard blood pressure waveform graph at a plurality of first time points, and performing fitting adjustment on the second adjusted blood pressure waveform graph according to the plurality of the first slopes, the first curvatures, the second slopes and the second curvatures to obtain a fitted blood pressure waveform graph; A second acquisition module is used to obtain a residual mean according to the fitted blood pressure waveform and the standard blood pressure waveform, and to obtain 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 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.

8. The simulated teaching blood pressure measurement system according to claim 7, characterized in that: The fitting module comprises: A first acquisition unit, configured to acquire a corresponding slope difference according to each of the first slope and the second slope; A second acquisition 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 according to 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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