Intelligent information acquisition and storage system in general surgery

Abstract

The invention relates to the technical field of bleeding amount monitoring, in particular to an intelligent information acquisition and storage system in general surgery, comprising: a first information processing module for determining a hemodynamic correction factor according to the blood flow thrust intensity and blood flow pulsation intensity of a target object in general surgery; the second information processing module is used for determining a tissue perfusion correction factor according to the oxyhemoglobin saturation and the central venous pressure of the target object; the instantaneous bleeding intensity quantification module is used for determining the instantaneous bleeding intensity according to the instantaneous bleeding amount of the target object, the hemodynamic correction factor and the tissue perfusion correction factor; the hemostasis efficiency quantification module is used for determining the hemostasis efficiency according to the effective energy of the hemostasis instrument, the fluctuation degree of the output energy of the hemostasis instrument and the instantaneous bleeding intensity; and the storage module is used for predicting a bleeding early warning index in the general surgery at least according to the hemostasis efficiency and the instantaneous bleeding intensity and storing the bleeding early warning index. According to the invention, early warning can be effectively carried out on bleeding conditions.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of bleeding amount monitoring, in particular to an intelligent information acquisition and storage system in general surgery. BACKGROUND

[0002] The effect of bleeding control in general surgery is directly related to the life safety of patients. The existing bleeding information acquisition method mainly depends on the passive acquisition of basic information such as the amount of blood flow out and whether the current bleeding is continuous, which is difficult to dynamically capture the change of bleeding intensity in real time, and lacks immediate quantitative acquisition of hemostatic effect, so as to intelligently warn the bleeding situation. SUMMARY

[0003] In order to solve the technical problem that the bleeding situation cannot be intelligently warned, the purpose of the present application is to provide an intelligent information acquisition and storage system in general surgery, and the technical scheme adopted is as follows: The first information processing module is used to determine the blood flow power correction factor according to the blood flow thrust intensity and the blood flow pulsation intensity of the target object in general surgery; The second information processing module is used to determine the tissue perfusion correction factor according to the blood oxygen saturation and central venous pressure of the target object; The instantaneous bleeding intensity quantification module is used to determine the instantaneous bleeding intensity according to the instantaneous bleeding amount, the blood flow power correction factor and the tissue perfusion correction factor of the target object; The hemostatic efficiency quantification module is used to determine the hemostatic efficiency according to the effective energy of the hemostatic instrument, the fluctuation degree of the hemostatic instrument output energy and the instantaneous bleeding intensity; The storage module is used to predict the bleeding warning index in general surgery according to at least the hemostatic efficiency and the instantaneous bleeding intensity, and store the bleeding warning index.

[0004] Preferably, the determination method of the instantaneous bleeding amount of the target object comprises: According to the original hemoglobin concentration of the target object, the instantaneous total flow of all attractors in general surgery and the current hemoglobin concentration in the attractor, the instantaneous bleeding amount is determined.

[0005] Preferably, the instantaneous bleeding amount of the target object is determined according to the original hemoglobin concentration of the target object, the instantaneous total flow of all attractors in general surgery and the current hemoglobin concentration in the attractor, comprising: According to the current hemoglobin concentration and the original hemoglobin concentration, the hemoglobin change factor is determined; According to the hemoglobin change factor and the instantaneous total flow of all attractors in general surgery, the instantaneous bleeding amount is determined.

[0006] Preferably, the determination method of the blood flow thrust intensity comprises: The collected mean arterial pressure and heart rate were standardized to obtain the standardized mean arterial pressure and standardized heart rate. The blood flow thrust intensity is obtained by multiplying the standardized mean arterial pressure and the standardized heart rate. Preferably, the method for determining the blood flow pulsation intensity includes: Calculate the difference between systolic and diastolic blood pressure to obtain the pressure differential; The ratio of the pressure difference to the preset maximum pulse pressure value is calculated to obtain the blood flow pulsation intensity.

[0007] Preferably, the method for determining blood oxygen saturation includes: The blood oxygen fluctuation coefficient is obtained by calculating the ratio of the difference between the current blood oxygen saturation and the original blood oxygen saturation to the preset maximum blood oxygen saturation. Determine the blood oxygen saturation based on the current blood oxygen saturation and blood oxygen fluctuation coefficient.

[0008] Preferably, the hemostatic efficiency is determined based on the effective energy of the hemostatic device, the fluctuation degree of the output energy of the hemostatic device, and the instantaneous bleeding intensity, including: The effective energy of a hemostatic device is calculated by utilizing the fluctuation in its output energy, thus obtaining a predicted effective energy. The hemostasis efficiency is obtained by calculating the ratio of predicted effective energy to instantaneous bleeding intensity.

[0009] Preferably, the method for determining the effective energy of the hemostatic device includes: The effective energy of the hemostatic device is determined based on its current output power, cumulative working time, and tissue impedance.

[0010] Preferably, the method for determining the degree of fluctuation in the output energy of the hemostatic device includes: Determine the average power and power standard deviation based on the historical output power of the hemostatic device; The fluctuation of the output energy of the hemostatic device is obtained by performing an exponential calculation on the ratio of the power standard deviation to the average power.

[0011] Preferably, a bleeding warning index for general surgery is predicted based at least on hemostasis efficiency and instantaneous bleeding intensity, including: The total bleeding intensity is determined based on the instantaneous bleeding intensity and the cumulative bleeding time. The predicted hemostasis efficiency is determined based on the hemostasis efficiency and the preset hemostasis coefficient. The bleeding warning index is obtained by calculating the ratio of total bleeding intensity to predicted hemostasis efficiency.

[0012] The present invention has the following beneficial effects: The first information processing module determines the hemodynamic correction factor based on the blood flow thrust and pulsation intensity of the target patient during general surgery. The second information processing module determines the tissue perfusion correction factor based on the target patient's blood oxygen saturation and central venous pressure. The instantaneous bleeding intensity quantification module determines the instantaneous bleeding intensity based on the instantaneous bleeding volume, hemodynamic correction factor, and tissue perfusion correction factor. The hemostasis efficiency quantification module determines the hemostasis efficiency based on the effective energy of the hemostatic device, the fluctuation of the hemostatic device's output energy, and the instantaneous bleeding intensity. The storage module predicts and stores the bleeding warning index during general surgery, based at least on the hemostasis efficiency and instantaneous bleeding intensity. Therefore, quantifying bleeding intensity and hemostasis efficiency allows for dynamic capture of changes in bleeding intensity and hemostasis effect. By combining bleeding intensity and hemostasis efficiency to calculate the bleeding warning index, the bleeding situation during general surgery can be predicted in a timely manner, thus providing early warning of bleeding. Attached Figure Description

[0013] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0014] Figure 1 This is a schematic diagram of an intelligent acquisition and storage system for intraoperative information in general surgery provided in one embodiment of the present invention; Figure 2 A schematic diagram illustrating the specific process of a method for determining instantaneous bleeding volume according to an embodiment of the present invention; Figure 3 A schematic diagram of the specific process of the hemostasis efficiency quantification module provided in one embodiment of the present invention; Figure 4 This is a schematic diagram illustrating the specific process of a storage module provided in one embodiment of the present invention. Detailed Implementation

[0015] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of an intelligent acquisition and storage system for intraoperative information in general surgery proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0016] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0017] The specific solution of the intelligent acquisition and storage system for intraoperative information in general surgery provided by the present invention will be described in detail below with reference to the accompanying drawings.

[0018] Please see Figure 1 This illustration shows a schematic diagram of an intelligent acquisition and storage system for intraoperative information in general surgery according to an embodiment of the present invention. In an exemplary embodiment, an intelligent acquisition and storage system for intraoperative information in general surgery is provided, comprising: The first information processing module 110 is used to determine the hemodynamic correction factor based on the blood flow thrust intensity and blood flow pulsation intensity of the target object during general surgery. The second information processing module 120 is used to determine the tissue perfusion correction factor based on the target object's blood oxygen saturation and central venous pressure. The instantaneous hemorrhage intensity quantification module 130 is used to determine the instantaneous hemorrhage intensity based on the instantaneous hemorrhage volume, hemodynamic correction factor, and tissue perfusion correction factor of the target object. The hemostasis efficiency quantification module 140 is used to determine the hemostasis efficiency based on the effective energy of the hemostasis device, the fluctuation of the output energy of the hemostasis device, and the instantaneous bleeding intensity. The storage module 150 is used to predict the bleeding warning index during general surgery based at least on hemostasis efficiency and instantaneous bleeding intensity, and to store the bleeding warning index.

[0019] It is important to note that information collection is a crucial aspect of ensuring surgical safety and quality in general surgery, and its importance extends throughout the entire surgical procedure. Real-time recording of data such as fluctuations in the patient's vital signs, blood loss, histopathological characteristics, and instrument usage during the operation allows for timely warnings of potential complications, thereby enhancing surgical safety.

[0020] For example, the target patient can be any patient in general surgery or a designated patient; no limitation is made here. Blood flow thrust intensity represents the basic thrust of continuous blood flow. This basic thrust is related to mean arterial pressure and heart rate. The higher the mean arterial pressure, the greater the pressure of blood within the vessels, the faster the heart rate, and the stronger the blood flow. Blood flow pulsation intensity represents the impact force brought about by blood flow pulsation. The impact force of blood flow pulsation is reflected through pulse pressure difference. The larger the pulse pressure difference, the more significant the pressure change during vasoconstriction and vasodilation, and the stronger the blood flow pulsation.

[0021] Preferably, the method for determining the blood flow thrust intensity includes: standardizing the collected mean arterial pressure and heart rate respectively to obtain the standardized mean arterial pressure and standardized heart rate; and multiplying the standardized mean arterial pressure and standardized heart rate to obtain the blood flow thrust intensity.

[0022] Specifically, the standardized formula for mean arterial pressure is as follows: in, The standardized mean arterial pressure is represented by t, where t represents the current time. The collected mean arterial pressure, This represents the historical average arterial pressure. It should be noted that... It is the mean arterial pressure collected during the target subject's preoperative stabilization period (e.g., 3 days before surgery).

[0023] in, This represents the standardized heart rate. The collected heart rate, This represents the historical average heart rate. It should be noted that... This is the average heart rate collected during the target subject's preoperative stable period (e.g., 3 days before surgery). The formula for calculating blood flow thrust intensity is as follows: = in, Indicates the intensity of blood flow thrust. This represents the standardized mean arterial pressure. This represents the standardized heart rate.

[0024] Preferably, the method for determining the intensity of blood flow pulsation includes: calculating the difference between systolic and diastolic blood pressure to obtain the pressure difference; and calculating the ratio of the pressure difference to a preset maximum pulse pressure value to obtain the intensity of blood flow pulsation.

[0025] It should be noted that the hemodynamic correction factor is primarily determined by basal propulsion capacity, but pulse pressure reflects the strength of blood flow pulsation. The dynamic changes in this pulsation affect the effectiveness of basal propulsion. When the pulse pressure is large, even with stable basal propulsion capacity, blood flow will be volatile due to the pressure of cardiac contraction and relaxation, rather than flowing at a uniform rate. However, when the pulse pressure is small, the effect of basal propulsion tends to be more stable, and the impact is reduced.

[0026] Therefore, the formula for calculating the intensity of blood flow pulsation is as follows: in, Indicates the intensity of blood flow pulsation. Indicates systolic blood pressure. Indicates diastolic blood pressure. This indicates the preset maximum pulse pressure value. It's understandable that the preset maximum pulse pressure value is the maximum pulse pressure value within the normal physiological range in the medical field (usually 60 in clinical practice).

[0027] Furthermore, the formula for calculating the hemodynamic correction factor is as follows: in, Indicates hemodynamic corrective factor, Indicates the intensity of blood flow thrust. It indicates the intensity of blood flow pulsation.

[0028] For example, blood oxygen saturation directly reflects the actual amount of oxygen carried by the blood, while central venous pressure reflects the fullness of blood and circulatory dynamics in the circulatory system. If blood oxygen saturation deviates from the baseline level, it indicates a decrease in the blood's oxygen-carrying capacity. Even if the central venous pressure is high (blood volume is sufficient), the total amount of oxygen carried by the blood will be insufficient to meet the needs of the tissues. Central venous pressure is similar to a carrier that transports oxygen; the more reorganized the carrier, the more oxygen it can carry.

[0029] Preferably, the method for determining blood oxygen saturation includes: calculating the ratio of the difference between the current blood oxygen saturation and the original blood oxygen saturation to a preset maximum blood oxygen saturation to obtain the blood oxygen fluctuation coefficient; and determining the blood oxygen saturation based on the current blood oxygen saturation and the blood oxygen fluctuation coefficient. It should be noted that the current blood oxygen saturation is obtained in real time through a pulse oximeter. The original blood oxygen saturation refers to the data collected before surgery (avoiding the immediate effects of preoperative tension, activity, etc.) and when the patient is not under conditions of acute infection, pain stress, etc.

[0030] Specifically, the formula for calculating blood oxygen saturation is as follows: = in, Indicates blood oxygen saturation. Indicates current blood oxygen saturation. Indicates the initial blood oxygen saturation. This indicates the preset maximum blood oxygen saturation, which is set based on a clinically safe range. This represents the blood oxygen fluctuation coefficient.

[0031] Furthermore, tissue perfusion is essentially the blood's ability to deliver oxygen to tissues and maintain circulatory stability. Blood oxygen saturation directly reflects the efficiency of blood in carrying oxygen. The greater the deviation of real-time blood oxygen from the preoperative baseline value, the corresponding decrease in its contribution to perfusion, i.e., insufficient blood oxygenation. Conversely, when blood oxygen is close to the baseline level, oxygen supply is sufficient, and the contribution of blood oxygen to perfusion is close to the real-time blood oxygen saturation itself. Circulatory stability depends on the dynamic balance between blood flowing back to and out of the heart, and venous blood return is the "raw material" for cardiac ejection. Central venous pressure directly reflects the state of blood return; the higher the value, the more sufficient the blood volume, and the better the baseline state of tissue perfusion. The two are balanced and integrated to form the final tissue perfusion correction factor, avoiding the dominance of a single indicator.

[0032] Understandably, when near At that time, the absolute difference between real-time blood oxygen and baseline blood oxygen was relatively small. Approaching 0, at this point This means that the blood oxygenation status is good, which has a significant positive impact on tissue perfusion.

[0033] Specifically, the formula for calculating the tissue perfusion correction factor is as follows: in, Indicates tissue perfusion correction factor, This represents the standardized value of blood oxygen saturation. Indicates central venous pressure The standardized value. It should be noted that central venous pressure... Standardization is obtained by normalizing the preoperative baseline CVP value of the target object (such as the CVP in the preoperative stable state).

[0034] The calculation process of the tissue perfusion correction factor mainly involves assigning equal weights to two dimensions (in general surgery, there is no significant difference in the primary and secondary effects of oxygen-carrying capacity and circulatory fullness on perfusion), and integrating them to obtain the tissue perfusion correction factor that characterizes the overall perfusion capacity. Its essence is the patient's current tolerance to bleeding.

[0035] For example, instantaneous bleeding volume is the amount of blood flowing out per unit time, calculated in real time by a flow sensor on the suction device during surgery. However, since the suction material may contain irrigation fluid, tissue fluid, etc., hemoglobin is needed to determine the amount of bleeding. Hemoglobin concentration is detected by an optical sensor.

[0036] Preferably, the method for determining the instantaneous bleeding volume of the target object includes: The instantaneous bleeding volume is determined based on the target patient's original hemoglobin concentration, the instantaneous total flow of all suction materials during general surgery, and the current hemoglobin concentration in the suction materials.

[0037] It should be noted that the total flow rate of the suction fluid was measured by the suction flow sensor. The original hemoglobin concentration was the hemoglobin concentration measured before the operation, assuming the patient was not under conditions of acute infection, pain, or stress.

[0038] For example, such as Figure 2 As shown, the instantaneous hemorrhage volume is determined based on the target subject's original hemoglobin concentration, the instantaneous total flow rate of all suction materials during general surgery, and the current hemoglobin concentration in the suction materials. This includes: S210. Determine the hemoglobin alteration factor based on the current hemoglobin concentration and the original hemoglobin concentration; S220. Determine the instantaneous bleeding volume based on the hemoglobin alteration factor and the instantaneous total flow of all suction materials during general surgery.

[0039] Specifically, the formula for calculating instantaneous bleeding volume is as follows: in, Indicates instantaneous blood loss. This represents the instantaneous total flow rate of all suction devices during general surgery. This indicates the current hemoglobin concentration. Indicates the original hemoglobin concentration. This refers to the hemoglobin alteration factor.

[0040] Furthermore, since instantaneous hemorrhage volume reflects the scale of blood outflow per unit time, hemodynamic correction factor reflects the dynamics of blood flow, and tissue perfusion correction factor reflects the patient's actual tolerance level, instantaneous hemorrhage intensity can be quantified based on the target individual's instantaneous hemorrhage volume, hemodynamic correction factor, and tissue perfusion correction factor.

[0041] Specifically, the formula for calculating instantaneous bleeding intensity is as follows: in, Indicates the intensity of instantaneous bleeding. Indicates instantaneous blood loss. Indicates hemodynamic corrective factor; This represents the tissue perfusion correction factor. It should be noted that, to ensure the calculation results are meaningful, in this embodiment of the application, when performing fractional operations, if the denominator is 0, a parameter adjustment factor can be added to the denominator to prevent the denominator from being 0. This parameter adjustment factor is a very small positive number. For example, the value of this parameter adjustment factor can be 0.01. Its specific value can be set by the implementer according to the actual situation, and this embodiment of the application does not impose specific limitations.

[0042] In this way, the bleeding status at each moment can be quantified in real time according to the instantaneous bleeding intensity, thereby accurately grasping the dynamic changes during general surgery and providing data reference for subsequent treatment.

[0043] For example, in effective energy transfer, the energy output from the device is the supply end, and the tissue absorption capacity is the conversion end. The device output energy is directly related to the current power and the duration of action; the higher the power, the more energy is output per unit time; the longer the action time, the more significant the cumulative energy effect. Both together constitute the basic total energy output. Tissue absorption capacity is reflected through tissue impedance; the lower the tissue impedance, the easier it is for energy to be absorbed by the bleeding point, and the higher the absorption efficiency.

[0044] Preferably, the method for determining the effective energy of the hemostatic device includes: determining the effective energy of the hemostatic device based on the current output power of the hemostatic device, the cumulative working time of the hemostatic device, and the tissue impedance.

[0045] Specifically, tissue impedance reflects the resistance of the contact area between the actuating end of a hemostatic instrument and the bleeding tissue to energy conduction. Tissue impedance is measured in real-time by the impedance monitoring module integrated into the hemostatic instrument (such as electrosurgical equipment, ultrasonic scalpel, etc.). After acquiring the tissue impedance, it is standardized for subsequent calculations. To avoid a standardized value of 0, a small constant is introduced. The standardized formula for tissue impedance is as follows: in, Represents the standardized tissue impedance. It is a very small positive number, such as 0.001. This represents the maximum value within the normal fluctuation range of tissue impedance. This represents the minimum value within the normal range of fluctuations in tissue impedance.

[0046] The formula for calculating the effective energy of hemostatic instruments is as follows: in, Indicates the effective energy of the hemostatic device. Indicates the current output power of the hemostatic device. This represents the time interval between two adjacent moments (a preset fixed time interval, i.e., every...). (Collect the current output power of a hemostatic instrument) This represents the standardized tissue impedance. It should be noted that... Impedance reflects the efficiency of an organization in absorbing energy. The resistance of tissue to electric current is a key indicator. The smaller the value, the easier it is for energy to penetrate the tissue and be absorbed by the bleeding point. Conversely, high resistance will cause energy to dissipate on the tissue surface and cannot effectively act on the core bleeding area.

[0047] Preferably, the method for determining the fluctuation level of the output energy of the hemostatic device includes: determining the average power and power standard deviation based on the historical output power of the hemostatic device; and performing an exponential calculation on the ratio of the power standard deviation to the average power to obtain the fluctuation level of the output energy of the hemostatic device. The historical output power of the hemostatic device can be the historical output power over the past 5-10 seconds, thus avoiding instantaneous noise interference caused by excessively short durations (e.g., 1-2 seconds).

[0048] Specifically, the fluctuation in the energy output of a hemostatic device reflects the stability of its energy effect. The formula for calculating the fluctuation in the energy output of a hemostatic device is as follows: in, This indicates the degree of fluctuation in the energy output of hemostatic devices. Indicates the standard deviation of power. This represents the average power. It should be noted that the exponential function reflects the nonlinear relationship between fluctuation and stability. The smaller the fluctuation, the closer the fluctuation of the hemostatic device's output energy is to 1 (higher stability); the larger the fluctuation, the more exponentially the fluctuation of the hemostatic device's output energy decreases (a sharp drop in stability).

[0049] Furthermore, such as Figure 3 As shown, hemostasis efficiency is determined based on the effective energy of the hemostatic device, the fluctuation of the hemostatic device's output energy, and the instantaneous bleeding intensity, including: S310. Calculate the effective energy of the hemostatic device by utilizing the fluctuation of its output energy, and obtain the predicted effective energy. S320. Calculate the ratio of predicted effective energy to instantaneous bleeding intensity to obtain the hemostasis efficiency.

[0050] Specifically, the formula for calculating hemostasis efficiency is as follows: in, Indicates hemostatic efficiency. Indicates the effective energy of the hemostatic device. This indicates the degree of fluctuation in the energy output of hemostatic devices. This indicates the instantaneous bleeding intensity. It should be noted that... A value of 0 indicates no bleeding, so proceed directly... Defined as 1, at this point, the current hemostasis status is determined based on the hemostasis efficiency without intervention.

[0051] It can be seen that the hemostasis efficiency calculated using the above formula can effectively reflect the hemostasis status and help operators make timely adjustments to the operating equipment. That is, when the effective energy of the hemostatic device is sufficient, the fluctuation of the output energy of the hemostatic device is stable, and it can match the current bleeding intensity, the hemostasis efficiency will increase, indicating that the hemostasis measures are effective.

[0052] Furthermore, such as Figure 4 As shown, at least based on hemostasis efficiency and instantaneous bleeding intensity, a bleeding warning index for predicting bleeding during general surgery includes: S410. Determine the total bleeding intensity based on the instantaneous bleeding intensity and the cumulative bleeding time; S420. Determine the predicted hemostasis efficiency based on the hemostasis efficiency and the preset hemostasis coefficient; S430. Calculate the ratio of total bleeding intensity to predicted hemostasis efficiency to obtain the bleeding warning index.

[0053] For example, since a single feature is difficult to capture the trend of dynamic interaction between features and cannot accurately predict the evolution of future risks, it is necessary to combine bleeding intensity and hemostasis effect to provide early warning of bleeding.

[0054] For example, the preset hemostasis coefficient is used as a dynamic trend coefficient to reflect the hemostasis effect. Specifically, the preset hemostasis coefficient can be obtained by calculating the rate of change of n bleeding warning indices (e.g., n can be 3 or other positive integers) obtained before the current time. For example, let the current time be... Take the bleeding warning index from the two consecutive moments (the time interval should be consistent with the calculation period of the bleeding warning index, such as once per second), and record it as... ( (Efficiency of hemostasis at any time); ( The efficiency of hemostasis at any time (for calculating intervals) ( (Hemostasis efficiency at each moment). The rise and fall of the bleeding warning index is quantified by the ratio of the difference between the next moment and the previous moment to the previous moment, using the following formula: The formula for calculating the first rate of change is as follows: in, This represents the first rate of change. express The efficiency of hemostasis at any time express The efficiency of hemostasis at any time.

[0055] The formula for calculating the second rate of change is as follows: in, This represents the second rate of change. express The efficiency of hemostasis at any time express The efficiency of hemostasis at any time.

[0056] The preset formula for calculating the hemostasis coefficient is as follows: in, This indicates the preset hemostasis coefficient. This represents the first rate of change. This indicates the rate of change for the second time. If the hemostatic efficiency increases, >1 indicates an improving trend in hemostatic effect; if hemostatic efficiency decreases, <1 indicates a worsening trend in hemostasis; if the hemostasis efficiency remains stable, =1, with no significant change in hemostatic effect.

[0057] Specifically, the formula for calculating the bleeding warning index is as follows: in, This indicates a bleeding warning index. Indicates the intensity of instantaneous bleeding. Indicates the total time of bleeding; Indicates hemostatic efficiency. This represents the preset hemostasis coefficient. It should be noted that, to ensure the calculation results are meaningful, in this embodiment of the application, when performing fractional operations, if the denominator is 0, a parameter adjustment factor can be added to the denominator to prevent the denominator from being 0. This parameter adjustment factor is a very small positive number. For example, the value of this parameter adjustment factor can be 0.01. Its specific value can be set by the implementer according to the actual situation, and this embodiment of the application does not impose specific limitations.

[0058] Therefore, it can be seen that in the technical solution of this application, the quantification of bleeding intensity and hemostasis efficiency can dynamically capture the changes in bleeding intensity and hemostasis effect. Then, the bleeding intensity and hemostasis efficiency are combined to calculate the bleeding warning index. In this way, the bleeding warning index can predict the bleeding situation in general surgery in a timely manner, thereby providing an early warning of the bleeding situation.

[0059] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0060] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A smart acquisition and storage system for intraoperative information in general surgery, characterized in that, include: The first information processing module is used to determine the hemodynamic correction factor based on the blood flow thrust intensity and blood flow pulsation intensity of the target object during general surgery. The second information processing module is used to determine the tissue perfusion correction factor based on the target object's blood oxygen saturation and central venous pressure. The instantaneous hemorrhage intensity quantification module is used to determine the instantaneous hemorrhage intensity based on the instantaneous hemorrhage volume, hemodynamic correction factor, and tissue perfusion correction factor of the target object. The hemostasis efficiency quantification module is used to determine the hemostasis efficiency based on the effective energy of the hemostasis device, the fluctuation of the output energy of the hemostasis device, and the instantaneous bleeding intensity. The storage module is used to predict the bleeding warning index during general surgery based at least on hemostasis efficiency and instantaneous bleeding intensity, and to store the bleeding warning index.

2. The intelligent acquisition and storage system for intraoperative information in general surgery according to claim 1, characterized in that, Methods for determining the instantaneous bleeding amount of a target object include: The instantaneous bleeding volume is determined based on the target patient's original hemoglobin concentration, the instantaneous total flow of all suction materials during general surgery, and the current hemoglobin concentration in the suction materials.

3. The intelligent acquisition and storage system for intraoperative information in general surgery according to claim 2, characterized in that, The instantaneous hemorrhage volume is determined based on the target patient's original hemoglobin concentration, the instantaneous total flow of all aspirates during general surgery, and the current hemoglobin concentration in the aspirates, including: Determine the hemoglobin alteration factors based on the current hemoglobin concentration and the original hemoglobin concentration; The instantaneous bleeding volume is determined based on the hemoglobin alteration factor and the instantaneous total flow of all suction materials during general surgery.

4. The intelligent acquisition and storage system for intraoperative information in general surgery according to claim 1, characterized in that, Methods for determining blood flow thrust intensity include: The collected mean arterial pressure and heart rate were standardized to obtain the standardized mean arterial pressure and standardized heart rate. The blood flow thrust intensity is obtained by multiplying the standardized mean arterial pressure and the standardized heart rate.

5. The intelligent acquisition and storage system for intraoperative information in general surgery according to claim 1, characterized in that, Methods for determining the intensity of blood flow pulsation include: Calculate the difference between systolic and diastolic blood pressure to obtain the pressure differential; The ratio of the pressure difference to the preset maximum pulse pressure value is calculated to obtain the blood flow pulsation intensity.

6. The intelligent acquisition and storage system for intraoperative information in general surgery according to claim 1, characterized in that, Methods for determining blood oxygen saturation include: The blood oxygen fluctuation coefficient is obtained by calculating the ratio of the difference between the current blood oxygen saturation and the original blood oxygen saturation to the preset maximum blood oxygen saturation. Determine the blood oxygen saturation based on the current blood oxygen saturation and blood oxygen fluctuation coefficient.

7. The intelligent acquisition and storage system for intraoperative information in general surgery according to claim 1, characterized in that, Hemostasis efficiency is determined based on the effective energy of the hemostatic device, the fluctuation of the output energy of the hemostatic device, and the instantaneous bleeding intensity, including: The effective energy of a hemostatic device is calculated by utilizing the fluctuation in its output energy, thus obtaining a predicted effective energy. The hemostasis efficiency is obtained by calculating the ratio of predicted effective energy to instantaneous bleeding intensity.

8. The intelligent acquisition and storage system for intraoperative information in general surgery according to claim 7, characterized in that, Methods for determining the effective energy of hemostatic devices include: The effective energy of the hemostatic device is determined based on its current output power, cumulative working time, and tissue impedance.

9. The intelligent acquisition and storage system for intraoperative information in general surgery according to claim 7, characterized in that, Methods for determining the degree of fluctuation in the output energy of hemostatic devices include: Determine the average power and power standard deviation based on the historical output power of the hemostatic device; The fluctuation of the output energy of the hemostatic device is obtained by performing an exponential calculation on the ratio of the power standard deviation to the average power.

10. The intelligent acquisition and storage system for intraoperative information in general surgery according to claim 1, characterized in that, Based at least on hemostasis efficiency and instantaneous bleeding intensity, predict bleeding warning indices during general surgery, including: The total bleeding intensity is determined based on the instantaneous bleeding intensity and the cumulative bleeding time. The predicted hemostasis efficiency is determined based on the hemostasis efficiency and the preset hemostasis coefficient. The bleeding warning index is obtained by calculating the ratio of total bleeding intensity to predicted hemostasis efficiency.

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