Intelligent monitoring and alarming method and system for intraoperative blood loss volume

Abstract

The invention relates to the technical field of intraoperative bleeding amount monitoring, and provides an intelligent intraoperative bleeding amount monitoring and alarming method and system.The method comprises the steps that during an operation, blood, body fluid and cleaning fluid in an operation area are cleaned in time through a suction bottle and gauze; after the gauze is used, the absorbed liquid is partially screwed out and flows into the liquid collecting tank; weight changes of the suction bottle and the gauze storage area are detected in real time respectively, signals are transmitted to the data processing module, the concentration of hemoglobin in the two kinds of liquid is detected, the concentration of blood in the liquid is calculated, and the concentration of the hemoglobin in the liquid is calculated by combining the amount of the liquid sucked by the suction bottle and the amount of the liquid taken out by the gauze in real time. The amount of blood brought out by the gauze and the amount of blood sucked out by the suction bottle are calculated in real time, the real-time bleeding amount of a patient in an operation is obtained, and when the real-time bleeding amount reaches a threshold value, early warning is given out. The problems that errors are large in a traditional method, and particularly in a large amount of blood loss or a complex operation scene, the blood loss dynamic state is difficult to master timely and accurately are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of intraoperative blood loss monitoring, and in particular to an intelligent monitoring and alarm method and system for intraoperative blood loss. Background Art

[0002] Intraoperative blood loss monitoring and management is an extremely critical link in the modern surgical process, which directly affects the patient's surgical safety, postoperative recovery and surgical results. Traditional blood loss monitoring methods usually rely on manual visual inspection and estimation, which have certain subjectivity and errors. Especially in large-scale blood loss or complex surgical scenarios, it is difficult to grasp the dynamics of blood loss in a timely and accurate manner. Therefore, the development of intelligent monitoring and alarm systems aims to solve this medical pain point. Summary of the invention

[0003] The present invention provides an intelligent monitoring and alarm method and system for intraoperative blood loss, so as to solve the problem that the traditional method has large errors, especially in the case of massive blood loss or complex surgical scenes, it is difficult to timely and accurately grasp the dynamics of blood loss.

[0004] To achieve the above-mentioned purpose, the present invention provides an intelligent monitoring and alarm system for intraoperative blood loss, comprising:

[0005] Weight sensors are installed on the suction bottle and the gauze storage area respectively, and are used to monitor the weight changes of the suction bottle and the gauze storage area in real time, and dynamically calculate the amount of liquid brought out by the gauze and the amount of liquid sucked out by the suction bottle;

[0006] The liquid collecting tank is placed in the gauze storage area. After the gauze that has absorbed the liquid is wrung out of a proper amount of liquid above the liquid collecting tank, it is then put back to a designated position in the gauze storage area outside the liquid collecting tank, so that the blood content in the liquid absorbed by the gauze can be detected in time by using a sensor.

[0007] Hemoglobin concentration monitoring equipment, used to monitor the hemoglobin concentration in the patient's blood in real time during surgery;

[0008] Blood content sensors are installed at the liquid collection tank and the suction bottle, respectively, and are used to detect the concentration of hemoglobin in the liquid;

[0009] An alarm module, connected to the data processing module, issues an early warning when the amount of bleeding reaches a threshold;

[0010] The data processing module is connected to the weight sensor, blood content sensor, and hemoglobin concentration monitoring device respectively. It collects the data detected by the sensors in real time, performs data analysis, and calculates the real-time bleeding volume. When the bleeding volume reaches the threshold, the control alarm module issues a warning.

[0011] In the aforementioned system, the blood content sensor comprises:

[0012] The light source uses two light-emitting diodes, which emit 660nm red light and 940nm infrared light respectively. The light emitted by the LED passes through the blood-containing liquid and reaches the receiver;

[0013] A light receiver is installed on the other side of the detection cavity to receive the penetration intensity of 660nm and 940nm light respectively;

[0014] Processing unit: calculates the light signal received by the light receiver, obtains the absorbance of the liquid to the two wavelengths of light, and then calculates the concentration of hemoglobin in the liquid based on the absorbance.

[0015] Based on the intelligent monitoring and alarm system for intraoperative blood loss, the present invention also provides an intelligent monitoring and alarm method for intraoperative blood loss, which is specifically as follows:

[0016] During surgery, blood, body fluids and cleaning fluids in the surgical area should be cleaned promptly using suction bottles and gauze;

[0017] After using the gauze, tighten it firmly above the liquid collection tank in time to allow the absorbed liquid to be twisted out and flow into the liquid collection tank;

[0018] The weight sensor detects the weight changes of the suction bottle and the gauze storage area in real time and transmits the signal to the data processing module, and the data processing module calculates the amount of liquid sucked out of the suction bottle and the amount of liquid brought out by the gauze in real time;

[0019] At the same time, the concentration of hemoglobin in the two liquids is detected by a blood content sensor;

[0020] The concentration of blood in the liquid is calculated by the real-time detected hemoglobin concentration in the liquid and the real-time detected hemoglobin concentration in the blood. Combined with the real-time amount of liquid sucked out by the suction bottle and the amount of liquid brought out by the gauze, the amount of blood brought out by the gauze and the amount of blood sucked out by the suction bottle are calculated in real time respectively. The sum of the two is the real-time bleeding volume of the patient during the operation. When the real-time bleeding volume reaches the threshold, an early warning is issued to realize intelligent monitoring of intraoperative blood loss.

[0021] In the aforementioned method, before the operation, the alarm threshold of the patient's bleeding volume is evaluated based on the patient's basic information, including weight, height, gender, and estimated blood volume.

[0022] In the above method, based on the specific absorption characteristics of oxygenated hemoglobin (HbO2) and deoxygenated hemoglobin (Hb) to red light (about 660nm) and infrared light (about 940nm) of two wavelengths of light, the concentration of blood in the liquid is judged in real time by detecting the absorption of red light (about 660nm) and infrared light (about 940nm) by the liquid containing blood.

[0023] 1) Calculate absorbance:

[0024] According to the Beer-Lambert law, the absorbance is calculated:

[0025]

[0026] Initial light intensity of two wavelengths of light (before penetrating the liquid):

[0027] The light intensity of two wavelengths after penetrating the liquid: / 660 、 / 940 ;

[0028] 2) Establish an equation to solve the hemoglobin concentration:

[0029] Using the absorbance formula, establish the absorbance equation for two wavelengths:

[0030]

[0031] A 660 , A 940 : Absorbance at 660nm and 940nm wavelengths;

[0032] The molar extinction coefficient of deoxyhemoglobin and oxyhemoglobin at a wavelength of 660 nm;

[0033] The molar extinction coefficient of deoxyhemoglobin and oxyhemoglobin at 940nm wavelength;

[0034] c Hb , The concentration of deoxyhemoglobin and oxyhemoglobin in the fluid;

[0035] / : path length of light through the liquid;

[0036] By detecting the absorbance of the liquid to two wavelengths of light A 660 and A 940 , solve for c Hb and Molar extinction coefficient ε Hb and As well as the optical path length / are all known quantities, the molar extinction coefficient can be calculated based on the concentration, absorbance and optical path length of the substance in the solution;

[0037] 3) Calculate the total blood concentration in the fluid

[0038] The total hemoglobin concentration is:

[0039]

[0040] Then the overall concentration of blood is obtained, blood concentration in liquid = total hemoglobin concentration / hemoglobin concentration in blood;

[0041] Blood concentration in liquid = total liquid volume × blood concentration in liquid. The amount of liquid sucked out by the suction bottle and the amount of liquid brought out by the gauze are detected in real time by the weight sensor, so as to calculate the real-time amount of blood sucked out by the suction bottle and the amount of blood brought out by the gauze, respectively, and obtain the real-time amount of intraoperative bleeding of the patient.

[0042] In the above method, samples of fluid collected during each operation are collected, and the fluid collected by the suction bottle and gauze in various operations are sampled and analyzed. The absorbance of the liquid at two wavelengths of light, 660nm and 940nm, and the concentration of blood in the liquid are measured, and standard curves are drawn for each type of operation. During actual monitoring, the results are calibrated using the standard curves.

[0043] In the above method, during the operation, the blood loss data of the previous operation is collected, and the blood loss data curve is drawn. Through data analysis, the blood loss amount at each node during the operation is averaged (after removing the data that deviates greatly from the average, the remaining data is averaged), and a standard curve of intraoperative blood loss is drawn. At the same time, a real-time blood loss data curve is drawn through the real-time blood loss data obtained during the operation, and the real-time blood loss data curve is compared with the standard curve of intraoperative blood loss to assist doctors in making decisions.

[0044] In the aforementioned method, postoperative report generation automatically generates a postoperative blood loss data report, including the total amount of blood loss, blood loss trend, and alarm records, thereby improving the doctor's ability to manage surgical blood loss.

[0045] Further preferably, data collection and analysis are performed on completed or upcoming operations, the operations are divided into multiple nodes or time periods, the blood loss data of the patient at each node or time period during the operation is recorded, a sufficient amount of operation data is collected, and the average value of the blood loss data of the patient at each node or time period in successful operation cases is analyzed as standard data, and a specific safety value is adjusted up or down based on the standard data as the alarm threshold for the blood loss of the patient at that node or time period.

[0046] Compared with the prior art, the present invention has the following advantages:

[0047] 1) Real-time and dynamic monitoring

[0048] Continuous real-time monitoring can dynamically and continuously track changes in the patient's blood loss during surgery without relying on manual records or regular manual measurements; rapid response can detect the trend of rapid increase in blood loss at the first time, and notify medical staff in time to take intervention measures through the alarm function.

[0049] 2) Non-invasive and automated

[0050] Non-invasive detection methods (such as optical sensors) avoid the risks of traditional invasive monitoring (such as infection, bleeding, etc.) while reducing the burden on patients. From monitoring to calculation to alarm, the system can complete it automatically without human intervention, reducing the operational burden on medical staff.

[0051] 3) Improve surgical safety

[0052] Early warning: when the amount of blood loss exceeds the safety threshold or shows a rapid growth trend, the system can issue an alarm in time to help the medical team make quick judgments and take measures (such as blood transfusion, hemostasis, etc.); reduce misjudgments, the intelligent monitoring system avoids the uncertainty of manual visual inspection and estimation of blood loss, and reduces the error in judging the patient's blood loss condition during surgery.

[0053] 4)Flexible adaptation to different surgical scenarios

[0054] Compatibility with surgical types: suitable for most surgical types with large blood loss (such as cardiac surgery, liver resection, orthopedic surgery, etc.); comprehensive monitoring of suction bottle and gauze, which can not only monitor the blood content of the liquid in the suction bottle, but also estimate the blood absorbed in the gauze, and obtain a more comprehensive blood loss assessment through comprehensive calculation; accurately calculate the amount of blood sucked out by the gauze and suction bottle respectively, and calculate the amount of bleeding more accurately.

[0055] 5) Reduce the workload of medical staff

[0056] Automated data recording: The system can record the dynamic changes in blood loss and generate data curves for postoperative analysis and archiving; Reduce the pressure of monitoring division of labor: There is no need for a dedicated person to manually assess blood loss during surgery, and medical staff can focus more on surgical operations and patient management.

[0057] 6) Improve patient prognosis

[0058] Accurate monitoring of blood loss can reduce the potential risk of massive blood loss during surgery and avoid the occurrence of hypovolemic shock during surgery; provide a scientific basis for accurate blood transfusion during surgery and postoperative rehabilitation management; accurately monitor blood loss to avoid excessive blood transfusion and reduce the risk of transfusion-related complications (such as transfusion reactions, immunosuppression, etc.). BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 It is a schematic diagram of the control principle of the present invention;

[0060] Figure 2 is a flow chart of the present invention; DETAILED DESCRIPTION

[0061] 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.

[0062] Example 1

[0063] Reference Figure 1 FIG. 1 is a schematic diagram of an intelligent monitoring and alarm system for intraoperative blood loss provided in Example 1 of the present invention. In this embodiment, the intelligent monitoring and alarm system for intraoperative blood loss includes:

[0064] Weight sensors are installed in the suction bottle and gauze storage area respectively, and are used to monitor the weight changes of the suction bottle and gauze storage area in real time, and dynamically calculate the amount of liquid brought out by the gauze and the amount of liquid sucked out by the suction bottle. Strain gauge weight sensors, piezoelectric weight sensors, capacitive weight sensors, etc. can be used, and the technology is relatively mature;

[0065] The liquid collecting tank has no particular requirements on shape, and the opening is as large as possible so that the liquid will not leak out when the gauze is twisted. The tank is placed on the gauze storage area, and the weight change is detected by a weight sensor. The gauze that has absorbed the liquid is twisted out of a proper amount of liquid above the liquid collecting tank and then put back to a designated position in the gauze storage area outside the liquid collecting tank, so that the sensor can be used to timely detect the blood content in the liquid absorbed by the gauze;

[0066] Hemoglobin concentration monitoring equipment is used to monitor the hemoglobin concentration in the patient's blood during surgery in real time, for example: multi-wavelength spectral detection, through an optical sensor clamped on the finger, earlobe or forehead, based on the absorption characteristics of hemoglobin at wavelengths such as 660nm (red light) and 940nm (infrared light), real-time and non-invasive measurement of hemoglobin concentration (SpHb).

[0067] Features: Portable design, suitable for rapid deployment during surgery, provides real-time, continuous hemoglobin monitoring, combined with blood oxygen saturation and pulse rate monitoring. Advantages: Non-invasive, portable, suitable for both inside and outside the operating room, provides intuitive alarm and trend analysis. For minor or routine surgeries, Masimo SpHb, Radical-7, non-invasive real-time monitoring is recommended; for major bleeding or complex surgeries (such as liver transplantation), blood gas analyzer (ABG), continuous blood monitoring system can be used;

[0068] The blood content sensor is installed at the liquid collecting tank and the suction bottle respectively, and is used to detect the concentration of hemoglobin in the liquid. Specifically, it includes: a light source, which uses two light-emitting diodes to emit 660nm red light and 940nm infrared light respectively. The light emitted by the LED passes through the liquid containing blood and reaches the receiver; a light receiver, a photosensitive receiver is installed on the other side of the detection cavity, which receives the penetration intensity of 660nm and 940nm light respectively; a processing unit: calculates the light signal received by the light receiver, obtains the absorbance of the liquid to the two wavelengths of light, and then calculates the concentration of hemoglobin in the liquid based on the absorbance.

[0069] The alarm module is connected to the data processing module and issues an early warning when the bleeding volume reaches a threshold.

[0070] The data processing module is connected to the weight sensor, blood content sensor, and hemoglobin concentration monitoring device respectively. It collects the data detected by the sensors in real time, performs data analysis, and calculates the real-time bleeding volume. When the bleeding volume reaches the threshold, the control alarm module issues a warning.

[0071] Example 2

[0072] The embodiment of the present application provides an intelligent monitoring and alarm method for intraoperative blood loss. The execution subject of the intelligent monitoring and alarm method for intraoperative blood loss includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the intelligent monitoring and alarm method for intraoperative blood loss can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0073] Reference Figure 2 As shown, it is a flow chart of the intelligent monitoring and alarm method for intraoperative blood loss provided in Example 2 of the present invention. In this embodiment, the intelligent monitoring and alarm method for intraoperative blood loss is based on the intelligent monitoring and alarm system for intraoperative blood loss in Example 1. The method specifically includes:

[0074] Before surgery, the alarm threshold for the patient's bleeding volume is assessed based on the patient's basic information, including weight, height, gender, and estimated blood volume. This mainly depends on the patient's physiological indicators, surgery type, surgical risk classification, and personalized calculation methods.

[0075] The following are the optional steps and methods:

[0076] 1. Collection of basic data before surgery

[0077] Before setting the blood loss alarm threshold, collect the following patient information:

[0078] (1) Basic information of the patient

[0079] Age: Elderly patients (especially ≥65 years old) have a lower tolerance to blood loss.

[0080] Gender: Women usually have slightly lower blood volume than men, but tolerance can vary among individuals.

[0081] Weight and height: used to estimate the patient's total blood volume (TBV).

[0082] (2) Patients’ hematological indicators

[0083] Preoperative hemoglobin concentration (Hb): used to assess the patient's basic blood oxygen carrying capacity.

[0084] Hematocrit (Hct): directly related to blood volume and affects the calculation of tolerable blood loss.

[0085] Coagulation function: such as international normalized ratio (INR), platelet count, etc., which affect the risk of bleeding.

[0086] (3) Surgery-related information

[0087] Type and location of surgery: The risk of blood loss varies greatly between surgeries, such as:

[0088] Low risk: such as superficial surgery, minimally invasive surgery (blood loss is usually <100mL).

[0089] Medium risk: such as abdominal and orthopedic surgery (blood loss 100-1000mL).

[0090] High risk: such as cardiothoracic surgery, transplant surgery, and major trauma repair (blood loss may be >1000mL).

[0091] Operation time: Longer surgeries are usually associated with greater blood loss.

[0092] (4) Patient's comorbidities

[0093] Cardiovascular diseases: Patients with coronary heart disease and hypertension are more sensitive to hypovolemia.

[0094] Abnormal liver function: Coagulopathy can lead to a higher risk of bleeding.

[0095] Anemia or blood system diseases: Patients with preoperative anemia have lower tolerance for blood loss, and the alarm threshold needs to be stricter.

[0096] 2. Calculation of total blood volume (TBV)

[0097] The maximum tolerable blood loss during surgery is usually calculated based on the patient's total blood volume (TBV). TBV can be estimated using the following formula:

[0098] (1) Nadler formula (calculated by gender and weight)

[0099] Male: TBV = 0.3669 × height (m)3 + 0.03219 × weight (kg) + 0.6041

[0100] Female: TBV = 0.3561 × height (m)3 + 0.03308 × weight (kg) + 0.1833

[0101] (2) Simplified formula

[0102] Male: TBV=70×body weight (kg) (mL)

[0103] Female: TBV=65×body weight (kg) (mL)

[0104] 3. Calculation of Maximum Tolerable Blood Loss (MABL)

[0105] The maximum tolerable blood loss (MABL) is an important reference for the blood loss alarm threshold and can be calculated using the following formula:

[0106] MABL = TBV x (initial hematocrit - minimum acceptable hematocrit) / initial hematocrit

[0107] TBV: total blood volume.

[0108] Initial hematocrit (Hct initial): preoperative blood test value.

[0109] Minimum acceptable hematocrit (Hct minimum):

[0110] The general reference values ​​are as follows: healthy adults: 20%-25%; patients with cardiopulmonary diseases: 25%-30%; patients with anemia: higher (assessed based on the situation).

[0111] Example calculation:

[0112] Assume that a male patient:

[0113] Height: 1.75m, weight: 70kg, initial Hct: 40%, minimum Hct set to 25%.

[0114] Calculate total blood volume:

[0115] TBV = 70 × 70 = 4900 mL

[0116] Maximum tolerable blood loss:

[0117] MABL=4900×(40-25) / 40=1837.5mL

[0118] Therefore, if the patient is in a healthy state, the maximum blood loss alarm threshold during surgery can be set close to but less than 1837 mL, for example, 1750 ml to 1800 ml. If the patient has the above-mentioned cardiovascular disease, abnormal liver function, etc., the threshold setting needs to be appropriately adjusted as needed.

[0119] The above is the maximum blood loss alarm threshold during surgery. It is further preferred that a maximum blood loss threshold can be designed for each stage of the surgery, which can ensure that the surgery is more robust and safe. The surgery can be divided into multiple nodes or time periods by collecting and analyzing data on completed or upcoming surgeries, and the blood loss data of patients at each node or time period during the surgery is recorded. After collecting a large amount of data, the average blood loss data of patients at each node or time period in successful surgical cases is analyzed as standard data. According to medical experience, a certain value is lowered from the standard data as the alarm threshold for the blood loss of patients at that node or time period. Multiple thresholds can also be set at each node or time period, for example: the standard data is used as the warning threshold for the first alarm; the maximum bleeding volume at that node in the successful surgical case is used.

[0120] During surgery, blood, body fluids and cleaning fluids in the surgical area should be cleaned promptly using suction bottles and gauze.

[0121] After use, tighten the gauze above the liquid collection tank in time to allow the absorbed liquid to be wrung out and flow into the liquid collection tank.

[0122] The weight sensor detects the weight changes of the suction bottle and the gauze storage area in real time and transmits the signal to the data processing module. The data processing module calculates the amount of liquid sucked out by the suction bottle and the amount of liquid brought out by the gauze in real time.

[0123] At the same time, the concentration of hemoglobin in the two liquids is detected by a blood content sensor.

[0124] The concentration of blood in the liquid is calculated by the real-time detected hemoglobin concentration in the liquid and the real-time detected hemoglobin concentration in the blood. Combined with the real-time amount of liquid sucked out by the suction bottle and the amount of liquid brought out by the gauze, the amount of blood brought out by the gauze and the amount of blood sucked out by the suction bottle are calculated in real time respectively. The sum of the two is the real-time bleeding volume of the patient during the operation. When the real-time bleeding volume reaches the threshold, an early warning is issued to realize intelligent monitoring of intraoperative blood loss.

[0125] During the operation, the blood loss data from previous surgeries are collected and a blood loss data curve is drawn. Through data analysis, the blood loss at each node in the operation is averaged (after removing the data that deviates greatly from the average, the remaining data is averaged) to draw a standard blood loss curve during the operation. At the same time, a real-time blood loss data curve is drawn using the real-time blood loss data obtained during the operation. By comparing the real-time blood loss data curve with the standard blood loss curve during the operation, the doctor is assisted in making decisions.

[0126] It is also possible to collect samples of liquid collected during each operation, sample and analyze the liquid collected by the suction bottle and gauze in various operations, measure the absorbance of the liquid to two wavelengths of light, 660nm and 940nm, and the concentration of blood in the liquid, draw standard curves for various operations respectively, and in actual monitoring, calibrate the results through the standard curves. For example, for liver transplantation operations, collect samples of liquid collected during each liver transplantation operation, analyze the liquid collected by the suction bottle and gauze in the samples, measure the absorbance of the liquid to two wavelengths of light, 660nm and 940nm, and the concentration of blood in the liquid, draw standard curves for the absorbance of liquid during liver transplantation operations and standard curves for the concentration of blood in liquid, and in actual operations, calibrate the results through the standard curves.

[0127] Postoperative report generation automatically generates postoperative blood loss data reports, including total blood loss, blood loss trends, and alarm records, to enhance doctors' ability to manage surgical blood loss.

[0128] The specific principles of the present invention are as follows:

[0129] Based on the specific absorption characteristics of oxygenated hemoglobin (HbO2) and deoxygenated hemoglobin (Hb) to red light (about 660nm) and infrared light (about 940nm), the concentration of blood in the liquid can be determined in real time by detecting the absorption of red light (about 660nm) and infrared light (about 940nm) by the liquid containing blood:

[0130] 1) The processing unit calculates the absorbance:

[0131] According to the Beer-Lambert law, the absorbance is calculated:

[0132]

[0133] Initial light intensity of two wavelengths of light (before penetrating the liquid):

[0134] The light intensity of two wavelengths after penetrating the liquid: / 660 、 / 940 ;

[0135] 2) Establish an equation to solve the hemoglobin concentration:

[0136] Using the absorbance formula, establish the absorbance equation for two wavelengths:

[0137]

[0138] A 660 , A 940 : Absorbance at 660nm and 940nm wavelengths;

[0139] The molar extinction coefficient of deoxyhemoglobin and oxyhemoglobin at a wavelength of 660 nm;

[0140] The molar extinction coefficient of deoxyhemoglobin and oxyhemoglobin at 940nm wavelength;

[0141] c Hb , The concentration of deoxyhemoglobin and oxyhemoglobin in the fluid;

[0142] / : path length of light through the liquid;

[0143] By detecting the absorbance of the liquid to two wavelengths of light A 660 and A 940 , solve for c Hb and Molar extinction coefficient ε Hb and As well as the optical path length / are all known quantities, the molar extinction coefficient can be calculated based on the concentration, absorbance and optical path length of the substance in the solution;

[0144] 3) Calculate the total blood concentration in the fluid

[0145] The total hemoglobin concentration is:

[0146]

[0147] Then the overall concentration of blood is obtained, blood concentration in liquid = total hemoglobin concentration / hemoglobin concentration in blood;

[0148] Blood concentration in liquid = total liquid volume × blood concentration in liquid. The amount of liquid sucked out by the suction bottle and the amount of liquid brought out by the gauze are detected in real time by the weight sensor, so as to calculate the real-time amount of blood sucked out by the suction bottle and the amount of blood brought out by the gauze, respectively, and obtain the real-time amount of intraoperative bleeding of the patient.

[0149] In the embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative, and actual implementation may have other division methods.

[0150] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0151] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0152] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0153] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. Intelligent monitoring and alarm system for intraoperative blood loss, characterized by: include: Weight sensors are installed on the suction bottle and the gauze storage area respectively, and are used to monitor the weight changes of the suction bottle and the gauze storage area in real time, and dynamically calculate the amount of liquid brought out by the gauze and the amount of liquid sucked out by the suction bottle; The liquid collecting tank is placed in the gauze storage area. After the gauze that has absorbed the liquid is wrung out of a proper amount of liquid above the liquid collecting tank, it is then put back to a designated position in the gauze storage area outside the liquid collecting tank, so that the blood content in the liquid absorbed by the gauze can be detected in time by using a sensor. Hemoglobin concentration monitoring equipment, used to monitor the hemoglobin concentration in the patient's blood in real time during surgery; Blood content sensors are installed at the liquid collection tank and the suction bottle, respectively, and are used to detect the concentration of hemoglobin in the liquid; An alarm module, connected to the data processing module, issues an early warning when the amount of bleeding reaches a threshold; The data processing module is connected to the weight sensor, blood content sensor, and hemoglobin concentration monitoring device respectively. It collects the data detected by the sensors in real time, performs data analysis, and calculates the real-time bleeding volume. When the bleeding volume reaches the threshold, the control alarm module issues a warning.

2. The intelligent monitoring and alarm system for intraoperative blood loss according to claim 1 is characterized in that: The blood content sensor comprises: The light source uses two light-emitting diodes, which emit 660nm red light and 940nm infrared light respectively. The light emitted by the LED passes through the blood-containing liquid and reaches the receiver; A light receiver is installed on the other side of the detection cavity to receive the penetration intensity of 660nm and 940nm light respectively; Processing unit: calculates the light signal received by the light receiver, obtains the absorbance of the liquid to the two wavelengths of light, and then calculates the concentration of hemoglobin in the liquid based on the absorbance.

3. An intelligent monitoring and alarm method for intraoperative blood loss, characterized in that: The method is as follows: During surgery, blood, body fluids and cleaning fluids in the surgical area should be cleaned promptly using suction bottles and gauze; After using the gauze, tighten it firmly above the liquid collection tank in time to allow the absorbed liquid to be twisted out and flow into the liquid collection tank; The weight sensor detects the weight changes of the suction bottle and the gauze storage area in real time and transmits the signal to the data processing module, and the data processing module calculates the amount of liquid sucked out of the suction bottle and the amount of liquid brought out by the gauze in real time; At the same time, the concentration of hemoglobin in the two liquids is detected by a blood content sensor; The concentration of blood in the liquid is calculated by the real-time detected hemoglobin concentration in the liquid and the real-time detected hemoglobin concentration in the blood. Combined with the real-time amount of liquid sucked out by the suction bottle and the amount of liquid brought out by the gauze, the amount of blood brought out by the gauze and the amount of blood sucked out by the suction bottle are calculated in real time respectively. The sum of the two is the real-time bleeding volume of the patient during the operation. When the real-time bleeding volume reaches the threshold, an early warning is issued to realize intelligent monitoring of intraoperative blood loss.

4. The intelligent monitoring and alarm method for intraoperative blood loss according to claim 3 is characterized in that: Before surgery, the alarm threshold of the patient's bleeding volume was assessed based on the patient's basic information, including weight, height, gender, and estimated blood volume.

5. The intelligent monitoring and alarm method for intraoperative blood loss according to claim 3 is characterized in that: Based on the specific absorption characteristics of oxygenated hemoglobin (HbO2) and deoxygenated hemoglobin (Hb) to red light (about 660nm) and infrared light (about 940nm), the blood concentration in the liquid can be judged in real time by detecting the absorption of red light (about 660nm) and infrared light (about 940nm) by the liquid containing blood.

6. The intelligent monitoring and alarm method for intraoperative blood loss according to claim 5 is characterized in that: 1) Calculate absorbance: According to the Beer-Lambert law, the absorbance is calculated: Initial light intensity of two wavelengths of light (without penetrating the liquid): The light intensity of two wavelengths after penetrating the liquid: 660 、 / 940 ; 2) Establish an equation to solve the hemoglobin concentration: Using the absorbance formula, establish the absorbance equation for two wavelengths: A 660 , A 940 : Absorbance at 660nm and 940nm wavelengths; The molar extinction coefficient of deoxyhemoglobin and oxyhemoglobin at a wavelength of 660 nm; The molar extinction coefficient of deoxyhemoglobin and oxyhemoglobin at 940nm wavelength; c Hb , The concentration of deoxyhemoglobin and oxyhemoglobin in the fluid; / : Path length of light through liquid, i.e., optical path; By detecting the absorbance of the liquid to two wavelengths of light A 660 and A 940 , solve for C Hb and Molar extinction coefficient ε Hb and and path length / are all known quantities, and the molar extinction coefficient can be calculated based on the concentration, absorbance, and path length of the substance in the solution; 3) Calculate the total blood concentration in the fluid The total hemoglobin concentration is: Then the overall concentration of blood is obtained: blood concentration in liquid = total hemoglobin concentration / hemoglobin concentration in blood; Blood concentration in liquid = total liquid volume × blood concentration in liquid. The amount of liquid sucked out by the suction bottle and the amount of liquid brought out by the gauze are detected in real time by the weight sensor, so as to calculate the real-time amount of blood sucked out by the suction bottle and the amount of blood brought out by the gauze, respectively, and obtain the real-time amount of intraoperative bleeding of the patient.

7. The intelligent monitoring and alarm method for intraoperative blood loss according to claim 6 is characterized by: Samples of fluid collected during each operation are collected. The fluid collected by suction bottles and gauze in various surgeries are sampled and analyzed. The absorbance of the liquid at two wavelengths of light, 660nm and 940nm, as well as the concentration of blood in the liquid are measured. Standard curves for various surgeries are drawn separately, and the results are calibrated using the standard curves during actual monitoring.

8. The intelligent monitoring and alarm method for intraoperative blood loss according to claim 6 is characterized by: During the operation, the blood loss data from previous surgeries are collected and a blood loss data curve is drawn. Through data analysis, the average blood loss at each node in the operation is taken (after removing the data that deviates greatly from the average, the remaining data is averaged) to draw a standard curve of intraoperative blood loss. At the same time, a real-time blood loss data curve is drawn using the real-time blood loss data obtained during the operation. The real-time blood loss data curve is compared with the standard intraoperative blood loss curve to assist doctors in making decisions.

9. The intelligent monitoring and alarm method for intraoperative blood loss according to claim 6 is characterized in that: Postoperative report generation automatically generates postoperative blood loss data reports, including total blood loss, blood loss trends, and alarm records, to enhance doctors' ability to manage surgical blood loss.

10. The intelligent monitoring and alarm method for intraoperative blood loss according to claim 6, characterized in that: Collect and analyze data on completed or upcoming surgeries, divide the surgery into multiple nodes or time periods, record the patient's blood loss data at each node or time period during the operation, collect a sufficient amount of surgical data, analyze the average value of the patient's blood loss data at each node or time period in successful surgical cases as the standard data, and adjust the specific safety value up or down based on the standard data as the alarm threshold for the patient's blood loss at that node or time period.

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