Monitoring instrument with blood pressure analysis function

Abstract

The invention relates to a monitoring instrument with a blood pressure analysis function, comprising: an acquisition module for continuously acquiring blood pressure and pulse oxygen in real time to obtain a blood pressure wave and a pulse oxygen wave; the data processing module is used for analyzing the characteristic parameters of the blood pressure waves and the pulse oxygen waves to obtain the heart rate, the pulse rate, the stroke volume, the cardiac output, the effective arterial elasticity, the arterial closure pressure, the tissue perfusion pressure and the arterial resistance; the display module is used for displaying the heart rate or the pulse rate, the stroke volume, the cardiac output, the effective artery elasticity, the artery closing pressure and the vascular resistance in real time. By analyzing the characteristic parameters of the blood pressure wave and the pulse oxygen wave and extracting multi-dimensional parameters reflecting the hemodynamic state, including stroke volume, cardiac output, effective arterial elasticity, closing pressure, tissue perfusion pressure and the like, medical staff can be helped to more comprehensively know the circulatory system state of a patient, and the circulatory system state is not limited to basic systolic pressure and diastolic pressure information, so that the medical staff can more comprehensively know the circulatory system state of the patient. And a treatment scheme is timely adjusted and a treatment effect is evaluated.

Description

Technical Field

[0001] The present invention relates to the field of medical devices, and particularly to a monitoring instrument with blood pressure analysis function. Background Art

[0002] Current medical monitoring instruments have been widely used in clinical applications, especially in intensive care and emergency departments, and can provide real-time monitoring of important physiological parameters such as blood pressure, heart rate, and blood oxygen saturation. However, there are still some deficiencies in the blood pressure monitoring and analysis of existing monitors, specifically manifested in limited data analysis capabilities: existing devices usually only provide a single value of blood pressure, such as systolic blood pressure, diastolic blood pressure, and mean arterial pressure, and lack the ability to deeply analyze blood pressure waveforms. As a result, the subtle changes in the patient's hemodynamic state, such as the dynamic assessment of arterial elasticity or peripheral resistance, cannot be fully revealed, thus limiting the diagnostic accuracy and treatment guidance of clinicians. Summary of the Invention

[0003] The present invention provides a monitoring instrument with blood pressure analysis function to solve at least one of the above technical problems.

[0004] The technical solution of the present invention to solve the above technical problems is as follows: A monitoring instrument with blood pressure analysis function includes:

[0005] A collection module for collecting blood pressure and pulse oxygen in real time and continuously to obtain blood pressure waves and pulse oxygen waves;

[0006] A data processing module connected to the collection module for analyzing the characteristic parameters of the blood pressure wave and the pulse oxygen wave to obtain heart rate, pulse rate, stroke volume, cardiac output, effective arterial elasticity, arterial closure pressure, tissue perfusion pressure, and arterial resistance;

[0007] A display module connected to the data processing module for real-time displaying the blood pressure, the pulse oxygen, the heart rate, the pulse rate, the stroke volume, the cardiac output, the effective arterial elasticity, the arterial closure pressure, the tissue perfusion pressure, and the vascular resistance.

[0008] On the basis of the above technical solution, the present invention can also be improved as follows.

[0009] Further, the data processing module is specifically used for:

[0010] Analyzing the waveform period of the blood pressure wave to obtain the heart rate; wherein, the calculation formula of the heart rate is: heart rate = 60 / waveform period of the blood pressure wave; the data processing module is also specifically used for:

[0011] Analyze the waveform period of the pulse oximetry wave to obtain the pulse rate; wherein, the calculation formula for the pulse rate is: Pulse rate = 60 / waveform period of the pulse oximetry wave.

[0012] Furthermore, the data processing module is specifically configured to:

[0013] Analyze the sampled point data of a single pulse oximetry wave of the pulse oximetry wave to obtain the absolute area value of the single pulse oximetry wave;

[0014] Perform a linear positive correlation process on the absolute area value of the single pulse oximetry wave to obtain the stroke volume;

[0015] Wherein, the calculation formula for calculating the absolute area value of the single pulse oximetry wave is:

[0016]

[0017] Specifically, Area sv represents the absolute area value of the single pulse oximetry wave, S AC (n) represents the nth sampled point data of the single pulse oximetry wave of the pulse oximetry wave, and N represents the total number of sampled points of the single pulse oximetry wave of the pulse oximetry wave.

[0018] Furthermore, the data processing module is specifically configured to:

[0019] Calculate the cardiac output according to the heart rate and the stroke volume; wherein the calculation formula for the cardiac output is: Cardiac output = Stroke volume * Heart rate.

[0020] Furthermore, the data processing module is specifically configured to:

[0021] Calculate the effective arterial elasticity according to the systolic blood pressure of the blood pressure wave and the stroke volume; wherein, the calculation formula for the effective arterial elasticity is: Effective arterial elasticity = (0.9 * Systolic blood pressure) / Stroke volume.

[0022] Furthermore, the data processing module is specifically configured to:

[0023] Using the mean arterial pressure as the Y-axis and the cardiac output as the X-axis, perform a first-degree linear curve fitting on a group of mean arterial pressures within each waveform period of the blood pressure wave and a group of cardiac outputs calculated within the corresponding waveform periods to obtain a first fitting curve;

[0024] Extract the constant term from the first fitting curve as the arterial closure pressure;

[0025] Calculate the tissue perfusion pressure according to the arterial closure pressure; wherein, the calculation formula for the tissue perfusion pressure is: Tissue perfusion pressure = Mean arterial pressure - Arterial closure pressure.

[0026] Further, when both the independent variable coefficient and the constant term in the first fitting curve expression are greater than zero, and the goodness of fit of the first fitting curve is greater than a preset threshold, it is determined that the constant term in the first fitting curve is a valid value and is retained.

[0027] Further, the data processing module is specifically configured to:

[0028] Calculate the arterial resistance according to the mean arterial pressure, the arterial closure pressure, and the cardiac output of the blood pressure wave; wherein, the formula for calculating the arterial resistance is: arterial resistance = (mean arterial pressure - arterial closure pressure) / cardiac output.

[0029] Further, the acquisition module is further configured to collect the central venous pressure in real time and continuously to obtain a central venous pressure wave;

[0030] The data processing module is further configured to calculate the systemic circulation mean filling pressure and the total vascular resistance according to the central venous pressure wave;

[0031] The data processing module is specifically configured to:

[0032] Perform a first linear curve fitting on a set of central venous pressures within each waveform cycle of the central venous pressure wave and a set of cardiac outputs calculated within the corresponding waveform cycle, with the mean arterial pressure as the Y-axis and the central venous pressure as the X-axis, to obtain a second fitting curve;

[0033] Extract the constant term from the second fitting curve as the systemic circulation mean filling pressure;

[0034] Calculate the total vascular resistance according to the central venous pressure in the central venous pressure wave; wherein, the formula for calculating the total vascular resistance is: total vascular resistance = (mean arterial pressure in the blood pressure wave - central venous pressure) / cardiac output.

[0035] Further, it further includes:

[0036] A data storage module, connected to the data processing module, for storing the blood pressure wave, the pulse oxygen wave, the heart rate, the pulse rate, the stroke volume, the cardiac output, the effective arterial elasticity, the arterial closure pressure, the tissue perfusion pressure, and the arterial resistance.

[0037] A data transmission module, connected to the data processing module, for transmitting the blood pressure wave, the pulse oxygen wave, the heart rate, the pulse rate, the stroke volume, the cardiac output, the effective arterial elasticity, the arterial closure pressure, the tissue perfusion pressure, and the arterial resistance to a remote terminal.

[0038] The beneficial effects of the present invention are as follows: A monitoring instrument with a blood pressure analysis function according to the present invention extracts multi-dimensional parameters reflecting the hemodynamic state, including stroke volume, cardiac output, effective arterial elasticity, closure pressure, tissue perfusion pressure, etc., by analyzing the characteristic parameters of blood pressure waves and pulse oximetry waves, so as to help medical staff understand the patient's circulatory system state more comprehensively, not limited to basic systolic and diastolic blood pressure information, and timely adjust the treatment plan and evaluate the treatment effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 is a structural block diagram of a monitoring instrument with a blood pressure analysis function according to the present invention;

[0040] Figure 2 is a sampling point data waveform diagram of a single pulse oximetry wave;

[0041] Figure 3 is a schematic diagram of the result of curve fitting with mean arterial pressure as the Y-axis and cardiac output as the X-axis;

[0042] Figure 4 is a schematic diagram of the result of curve fitting with central venous pressure as the Y-axis and cardiac output as the X-axis;

[0043] Figure 5 is a schematic diagram of the interface of the display module. DETAILED DESCRIPTION OF THE INVENTION

[0044] The principles and features of the present invention will be described below with reference to the accompanying drawings. The examples given are only for explaining the present invention and are not intended to limit the scope of the present invention.

[0045] As Figure 1 shown, a monitoring instrument with a blood pressure analysis function includes:

[0046] A collection module for collecting blood pressure and pulse oximetry in real time and continuously to obtain blood pressure waves and pulse oximetry waves;

[0047] A data processing module connected to the collection module for analyzing the characteristic parameters of the blood pressure waves and the pulse oximetry waves to obtain heart rate, pulse rate, stroke volume, cardiac output, effective arterial elasticity, arterial closure pressure, tissue perfusion pressure, and arterial resistance;

[0048] A display module connected to the data processing module for displaying the blood pressure, the pulse oximetry, the heart rate, the pulse rate, the stroke volume, the cardiac output, the effective arterial elasticity, the arterial closure pressure, the tissue perfusion pressure, and the vascular resistance in real time.

[0049] Specifically, the characteristic parameters of the blood pressure wave include systolic blood pressure, diastolic blood pressure, mean arterial pressure, waveform period, etc.; the characteristic parameters of the pulse oximetry wave include waveform period, single peak amplitude, single area, etc.

[0050] In some embodiments, the data processing module is specifically configured to:

[0051] Analyze the waveform period of the blood pressure wave to obtain the heart rate; wherein, the calculation formula for the heart rate is: heart rate = 60 / waveform period of the blood pressure wave; the data processing module is also specifically configured to:

[0052] Analyze the waveform period of the pulse oximetry wave to obtain the pulse rate; wherein, the calculation formula for the pulse rate is: pulse rate = 60 / waveform period of the pulse oximetry wave.

[0053] Specifically, under normal circumstances, heart rate = pulse rate.

[0054] In some embodiments, the data processing module is specifically configured to:

[0055] Analyze the sampled point data of the single pulse oximetry wave to obtain the absolute area value of the single pulse oximetry wave;

[0056] Perform a linear positive correlation process on the absolute area value of the single pulse oximetry wave to obtain the stroke volume;

[0057] Wherein, the calculation formula for calculating the absolute area value of the single pulse oximetry wave is:

[0058]

[0059] Specifically, Area sv represents the absolute area value of the single pulse oximetry wave, and S AC (n) represents the nth sampled point data of the single pulse oximetry wave of the pulse oximetry wave, and N represents the total number of sampled points of the single pulse oximetry wave of the pulse oximetry wave.

[0060] Specifically, the calculation of the stroke volume (Stroke volume, SV) is for each pulse oximetry wave, calculating its area characteristics to evaluate the change of the stroke cardiac output (i.e., the stroke volume); wherein, the waveform of the sampled point data of the single pulse oximetry wave is as Figure 2 shown. Using methods such as area integration (continuous signal, discrete signal), the area information of a single pulse oximetry wave is calculated. Based on the characteristics of the fixed sampling frequency of Mindray blood oxygen technology in the present invention, the method of cumulative integration point by point is used to calculate the area parameter (the absolute area value of the single pulse oximetry wave Area sv ), and this area parameter can indirectly reflect the change state of the stroke cardiac output. The absolute area value of the single pulse oximetry wave Area svIt is an indirect reflection of the stroke volume and cannot be directly equated with the stroke volume. Theoretically, the absolute area value of a single pulse oximetry wave, Area sv has a linear positive correlation with the cardiac ejection volume per heartbeat (i.e., the stroke volume).

[0061] In some embodiments, the data processing module is specifically configured to:

[0062] Calculate the cardiac output (CO) based on the heart rate and the stroke volume; wherein the calculation formula for the cardiac output is: cardiac output = stroke volume * heart rate.

[0063] In some embodiments, the data processing module is specifically configured to:

[0064] Calculate the effective arterial elastance (Ea) based on the systolic pressure of the blood pressure wave and the stroke volume; wherein the calculation formula for the effective arterial elastance is: effective arterial elastance = (0.9 * systolic pressure) / stroke volume.

[0065] In some embodiments, the data processing module is specifically configured to:

[0066] Perform a first linear curve fitting on a set of mean arterial pressures within each waveform cycle of the blood pressure wave and a set of cardiac outputs calculated within the corresponding waveform cycle, with the mean arterial pressure as the Y-axis and the cardiac output as the X-axis, to obtain a first fitting curve;

[0067] Extract the constant term from the first fitting curve as the critical closing pressure;

[0068] Calculate the tissue perfusion pressure based on the critical closing pressure; wherein the calculation formula for the tissue perfusion pressure is: tissue perfusion pressure = mean arterial pressure - critical closing pressure.

[0069] The critical closing pressure (Pcrit) is obtained by curve fitting a set of cardiac outputs and mean arterial pressures for each cardiac cycle; for example: if the heart rate is 60 beats per minute, 60 sets of corresponding cardiac outputs and mean arterial pressures can be obtained per minute. With the mean arterial pressure as the Y-axis and the cardiac output as the X-axis, curve fitting is performed through 60 points to obtain a first fitting curve y = k1 * x + b1, and b1 is the critical closing pressure. If k1 > 0, b1 > 0, and the goodness of fit R 2 ≥ 0.5 (preset threshold), then b1 is a valid value and is retained; otherwise, it is an invalid calculation. Among them, the result of curve fitting with the mean arterial pressure as the Y-axis and the cardiac output as the X-axis is as Figure 3 shown. Specifically, the goodness of fit R2 Indicates what percentage of the variation in the dependent variable (explained variable) can be explained by the independent variable (explanatory variable). If the calculation of the closure pressure is obtained from a fitted curve, the larger the R 2 is, the better the fitted model, and the more reliable the obtained closure pressure result.

[0070] Tissue perfusion pressure (TPP) = mean arterial pressure - arterial closure pressure calculation. In principle, both the arterial closure pressure and the tissue perfusion pressure are greater than 0 and less than the mean arterial pressure. When the analyzed data is valid, the control display module displays the data in real time.

[0071] In some embodiments, the data processing module is specifically configured to:

[0072] Calculate the arterial resistance according to the mean arterial pressure, the arterial closure pressure, and the cardiac output of the blood pressure wave; wherein, the formula for calculating the arterial resistance is: arterial resistance = (mean arterial pressure - arterial closure pressure) / cardiac output.

[0073] In some embodiments, the acquisition module is further configured to collect the central venous pressure in real time and continuously to obtain a central venous pressure wave;

[0074] The data processing module is further configured to calculate the systemic mean filling pressure and the systemic vascular resistance according to the central venous pressure wave;

[0075] The data processing module is specifically configured to:

[0076] Taking the mean arterial pressure as the Y-axis and the central venous pressure as the X-axis, perform a first-order linear curve fitting on a set of central venous pressures within each waveform cycle of the central venous pressure wave and a set of cardiac outputs calculated within the corresponding waveform cycle to obtain a second fitted curve;

[0077] Extract the constant term from the second fitted curve as the systemic mean filling pressure;

[0078] Calculate the systemic vascular resistance according to the central venous pressure in the central venous pressure wave; wherein, the formula for calculating the systemic vascular resistance is: systemic vascular resistance = (mean arterial pressure in the blood pressure wave - central venous pressure) / cardiac output.

[0079] Specifically, if the patient is simultaneously connected to central venous pressure (CVP) monitoring, similarly, the mean circulatory filling pressure (Pmsf) can be calculated according to the above method for fitting the arterial closure pressure. One set of cardiac output and central venous pressure can be obtained for each cardiac cycle. For example, if the heart rate is 60 beats per minute, 60 sets of corresponding cardiac output and central venous pressure can be obtained per minute. Taking the central venous pressure as the Y-axis and the cardiac output as the X-axis, a curve fitting is performed through 60 points to obtain the second fitting curve y = k2 * x + b2, and b2 is the mean circulatory filling pressure. If k2 < 0 and b2 > 0, and the goodness of fit R 2 ≥ 0.5, then b2 is retained as a valid numerical value; otherwise, it is an invalid calculation. Among them, taking the central venous pressure as the Y-axis and the cardiac output as the X-axis, the result of the curve fitting is as shown Figure 4 below.

[0080] The above in-depth blood pressure analysis can help clinicians understand the patient's vascular function and blood circulation, providing more data support for treatment decisions.

[0081] In some embodiments, the present invention further includes:

[0082] A data storage module, connected to the data processing module, for storing the blood pressure wave, the pulse oxygen wave, the heart rate, the pulse rate, the stroke volume, the cardiac output, the effective arterial elasticity, the arterial closure pressure, the tissue perfusion pressure, and the arterial resistance.

[0083] A data transmission module, connected to the data processing module, for transmitting the blood pressure wave, the pulse oxygen wave, the heart rate, the pulse rate, the stroke volume, the cardiac output, the effective arterial elasticity, the arterial closure pressure, the tissue perfusion pressure, and the arterial resistance to a remote terminal.

[0084] A monitoring instrument with a blood pressure analysis function according to the present invention is equipped with a large-capacity data storage system (i.e., the data storage module), which can record the long-term blood pressure data of the patient and its analysis results, facilitating future analysis and research. At the same time, the device has a wireless data transmission function (i.e., the data transmission module), which can upload the monitoring data to the hospital information management system in real time or dock with a remote monitoring platform to provide collaborative monitoring support for a multi-disciplinary medical team.

[0085] The display module in a monitoring instrument with blood pressure analysis function of the present invention is a high-definition touch screen, and its interface displays blood pressure values, waveform diagrams, and analysis indicators. Users can switch between multiple data views according to their needs. The device of the present invention provides an intuitive health status visualization function, which is convenient for medical staff to quickly grasp the dynamic changes of the patient's blood pressure and make timely responses. In addition, the interface also has a custom warning setting function to meet the needs of different clinical scenarios. The schematic diagram of the interface of the display module is as shown in Figure 5 shown. Its design is friendly and intuitive, and its main functions include: 1. Real-time data display: Display the current blood pressure, pulse, and other physiological parameters on the main interface, and show the historical data trends in the form of charts. 2. Alarm prompt: When abnormal values are detected, a red warning sign will flash on the interface and a sound prompt will be issued to ensure that medical staff can react in time. 3. Data playback function: Users can view historical records through simple touch operations and select data for a specific time period for review. 4. Personalized features: According to the built-in machine learning algorithm and intelligent data analysis engine, it can identify potential abnormal patterns based on the patient's historical blood pressure data and real-time monitoring results, providing more accurate personalized monitoring.

[0086] The acquisition module in a monitoring instrument with blood pressure analysis function of the present invention includes a blood oxygen probe to collect pulse oxygen, and also includes an invasive arterial connection probe and a non-invasive pressure cuff to collect blood pressure. In addition, the acquisition module also includes an electrocardiogram lead.

[0087] The monitoring instrument with blood pressure analysis function of the present invention supports integration with other monitoring device, such as electrocardiogram monitoring, blood oxygen saturation monitoring, etc., to form a comprehensive physiological parameter monitoring system. The device also reserves interfaces and software upgrade functions to introduce new monitoring technologies and data analysis methods in the future, improving the scalability and service life of the device.

[0088] The monitoring instrument with blood pressure analysis function of the present invention extracts multi-dimensional parameters reflecting the hemodynamic state, including stroke volume, cardiac output, effective arterial elasticity, closure pressure, tissue perfusion pressure, etc., according to the characteristic parameters of the blood pressure wave and pulse oxygen wave, to help medical staff can more comprehensively understand the patient's circulatory system state, not limited to basic systolic and diastolic blood pressure information, and timely adjust the treatment plan and evaluate the treatment effect.

[0089] The above are only the preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A monitoring instrument with a blood pressure analysis function, characterized in that, Including: A collection module, which is used to collect blood pressure and pulse oxygen in real time and continuously to obtain a blood pressure wave and a pulse oxygen wave; A data processing module, connected to the collection module, which is used to analyze the characteristic parameters of the blood pressure wave and the pulse oxygen wave to obtain heart rate, pulse rate, stroke volume, cardiac output, effective arterial elasticity, arterial closure pressure, tissue perfusion pressure and arterial resistance; A display module, connected to the data processing module, which is used to display the blood pressure, the pulse oxygen, the heart rate, the pulse rate, the stroke volume, the cardiac output, the effective arterial elasticity, the arterial closure pressure, the tissue perfusion pressure and the vascular resistance in real time.

2. The monitoring instrument with blood pressure analysis function according to claim 1, characterized in that, The data processing module is specifically used for: Analyzing the waveform period of the blood pressure wave to obtain the heart rate; wherein, the calculation formula of the heart rate is: heart rate = 60 / waveform period of the blood pressure wave; the data processing module is also specifically used for: Analyzing the waveform period of the pulse oxygen wave to obtain the pulse rate; wherein, the calculation formula of the pulse rate is: pulse rate = 60 / waveform period of the pulse oxygen wave.

3. The monitoring instrument with blood pressure analysis function according to claim 1, characterized in that, The data processing module is specifically used for: Analyzing the sampling point data of a single pulse oxygen wave of the pulse oxygen wave to obtain the absolute area value of a single pulse oxygen wave; Performing a linear positive correlation process on the absolute area value of the single pulse oxygen wave to obtain the stroke volume; Wherein, the calculation formula for calculating the absolute area value of the single pulse oxygen wave is: Specifically, Area sv represents the absolute area value of the single pulse oximetry wave, S AC (n) represents the data of the nth sampling point of the single pulse oximetry wave of the pulse oximetry wave, and N represents the total number of sampling points of the single pulse oximetry wave of the pulse oximetry wave.

4. The monitoring instrument with blood pressure analysis function according to claim 1, characterized in that, The data processing module is specifically used for: Calculating the cardiac output according to the heart rate and the stroke volume; wherein the calculation formula of the cardiac output is: cardiac output = stroke volume * heart rate.

5. The monitoring instrument with blood pressure analysis function according to claim 1, characterized in that, The data processing module is specifically used for: Calculating the effective arterial elasticity according to the systolic pressure of the blood pressure wave and the stroke volume; wherein, the calculation formula of the effective arterial elasticity is: effective arterial elasticity = (0.9 * systolic pressure) / stroke volume.

6. The monitoring instrument with blood pressure analysis function according to claim 1, characterized in that, The data processing module is specifically used for: Taking the mean arterial pressure as the Y-axis and the cardiac output as the X-axis, performing a first-order linear curve fitting on a group of mean arterial pressures within each waveform period of the blood pressure wave and a group of cardiac outputs calculated within the corresponding waveform period to obtain a first fitting curve; Extracting the constant term from the first fitting curve as the arterial closure pressure; Calculating the tissue perfusion pressure according to the arterial closure pressure; wherein, the calculation formula of the tissue perfusion pressure is: tissue perfusion pressure = mean arterial pressure - arterial closure pressure.

7. The monitoring instrument with blood pressure analysis function according to claim 6, characterized in that, When both the independent variable coefficient and the constant term in the expression of the first fitting curve are greater than zero, and the goodness of fit of the first fitting curve is greater than a preset threshold, it is determined that the constant term in the first fitting curve is a valid value and is retained.

8. The monitoring instrument with blood pressure analysis function according to claim 1, characterized in that, The data processing module is specifically used for: Calculating the arterial resistance according to the mean arterial pressure, the arterial closure pressure and the cardiac output of the blood pressure wave; wherein, the formula for calculating the arterial resistance is: arterial resistance = (mean arterial pressure - arterial closure pressure) / cardiac output.

9. The monitoring instrument with blood pressure analysis function according to claim 1, characterized in that, The collection module is also used to collect the central venous pressure in real time and continuously to obtain a central venous pressure wave; The data processing module is also used to calculate the systemic mean filling pressure and the total vascular resistance according to the central venous pressure wave; The data processing module is specifically configured to: Taking the mean arterial pressure as the Y-axis and the central venous pressure as the X-axis, perform a linear curve fitting on a set of central venous pressures within each waveform cycle of the central venous pressure wave and a set of calculated cardiac outputs within the corresponding waveform cycle, to obtain a second fitting curve; Extract the constant term from the second fitting curve as the systemic mean filling pressure; Calculate the systemic vascular resistance according to the central venous pressure in the central venous pressure wave; wherein, the formula for calculating the systemic vascular resistance is: systemic vascular resistance = (mean arterial pressure in the blood pressure wave - central venous pressure) / cardiac output.

10. The monitoring instrument with blood pressure analysis function according to claim 1, characterized in that, It further includes: A data storage module, connected to the data processing module, for storing the blood pressure wave, the pulse oxygen wave, the heart rate, the pulse rate, the stroke volume, the cardiac output, the effective arterial elasticity, the arterial occlusion pressure, the tissue perfusion pressure, and the arterial resistance. A data transmission module, connected to the data processing module, for transmitting the blood pressure wave, the pulse oxygen wave, the heart rate, the pulse rate, the stroke volume, the cardiac output, the effective arterial elasticity, the arterial occlusion pressure, the tissue perfusion pressure, and the arterial resistance to a remote terminal.

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