Thrombelastogram calibration method, device, system and equipment and storage medium

Abstract

The invention discloses a thrombelastogram calibration method, device, system and equipment and a storage medium, and the method comprises the steps: generating an initial thrombelastogram in a process that a blood sample rotates along with a container, through a mechanical torsion signal which drives a suspension wire to move in and after a process that the blood sample forms a blood clot, and collecting the initial thrombelastogram through a mechanical sensor; the method comprises the following steps: generating a light intensity time change chart through near-infrared light signals collected by a spectrograph, and extracting an attenuation rising rate representing a blood sample coagulation rate, an attenuation value representing blood sample coagulation intensity and an attenuation recovery rate representing fibrinolysis after blood sample coagulation, so as to calibrate an initial thromboelastogram and obtain a calibrated thromboelastogram. Therefore, on the basis of the thrombelastogram measured on the basis of the mechanics principle, the attenuation signal measured by the near-infrared optical principle is utilized to calibrate the thrombelastogram, the influence of non-coagulation factor interference on only mechanical signals is reduced, and the accuracy and the reliability of generating the thrombelastogram are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of computers, more particularly, to a thromboelastography calibration method, device, system, equipment and storage medium. BACKGROUND

[0002] Thromboelastography (TEG) is a core means for dynamically monitoring the whole process of blood coagulation, and is widely used in clinical scenarios such as surgical bleeding risk assessment and traumatic coagulopathy diagnosis. It generates a characteristic graph by detecting the change of physical properties during blood coagulation, and extracts coagulation-related indicators. Traditional TEG detection is based on the principle of mechanics: the blood cup is periodically reciprocated at a small angle, the liquid state of blood cannot drive the cylinder, and the adhesion resistance after coagulation drives the cylinder to swing, and the TEG is formed after detection.

[0003] According to its intended use, thromboelastography is a test technology that provides medical evidence for serious clinical diagnosis. Therefore, even if the mechanics-based methodology can positively generate a series of indicators related to the evaluation of coagulation ability (such as R, K, MA, LY30, etc.), its long-term reliability still needs to introduce a reliable methodology other than mechanics for reverse verification and calibration, so as to ensure the clinical effectiveness of the thromboelastography experimental results in a long period of time.

[0004] How to generate a thromboelastogram through multi-modal combination to improve the accuracy and reliability of generating a thromboelastogram is a problem that needs attention. SUMMARY

[0005] In view of the above problems, the present application provides a thromboelastography calibration method, device, system, equipment and storage medium to improve the accuracy and reliability of generating a thromboelastogram.

[0006] In order to achieve the above purpose, the specific scheme is as follows:

[0007] A thromboelastography calibration method applied to a thromboelastography calibration system, the thromboelastography calibration system comprising a pendant wire, a mechanical sensor, a container, a near-infrared light source, an incident optical fiber, a first receiving optical fiber, a second receiving optical fiber and a spectrometer; wherein the pendant wire is embedded with the incident optical fiber and the first receiving optical fiber, the pendant wire is connected with the mechanical sensor, the incident optical fiber is connected with the near-infrared light source, the second receiving optical fiber is located at the bottom of the container, the pendant wire in the static state is coaxial with the second receiving optical fiber on the central axis of the container, and the first receiving optical fiber and the second receiving optical fiber are both connected with the spectrometer.

[0008] The method comprises:

[0009] drive the container with the blood sample to rotate;

[0010] acquire a mechanical torsion signal of the blood sample driving the overhanging wire to move in the process of forming a blood clot and after the blood sample forms a blood clot in the process of the blood sample rotating with the container, and generate an initial thrombelastogram based on the mechanical torsion signal;

[0011] acquire a near-infrared light signal collected by the spectrometer in the process of the blood sample rotating with the container, and generate a light intensity-time variation graph based on the near-infrared light signal;

[0012] extract an attenuation rising rate for characterizing a coagulation rate of the blood sample, an attenuation value for characterizing a coagulation intensity of the blood sample, and an attenuation recovery rate for characterizing fibrinolysis after the blood sample coagulates from the light intensity-time variation graph;

[0013] calibrate the initial thrombelastogram based on the attenuation rising rate, the attenuation value, and the attenuation recovery rate to obtain a calibrated thrombelastogram.

[0014] Optionally, the initial thrombelastogram is calibrated based on the attenuation rising rate, the attenuation value, and the attenuation recovery rate to obtain a calibrated thrombelastogram, including:

[0015] calibrate a K value of the initial thrombelastogram based on the attenuation rising rate to obtain a first calibrated thrombelastogram;

[0016] balance calibrate the first thrombelastogram based on the attenuation value to obtain a second calibrated thrombelastogram;

[0017] calibrate a LY30 value of the second calibrated thrombelastogram based on the attenuation recovery rate to obtain a calibrated thrombelastogram.

[0018] Optionally, the K value of the initial thrombelastogram is calibrated based on the attenuation rising rate to obtain a first calibrated thrombelastogram, including:

[0019] calculate a reference K value of the initial thrombelastogram based on the attenuation rising rate based on a K value calibration formula, the K value calibration formula being:

[0020]

[0021] wherein, the reference K value of the initial thrombelastogram is K ref, the attenuation rising rate is r, K ref is a K value calibration coefficient, and n is a reference blood sample number, K value of a standard thrombelastogram of the nth reference blood sample, a decay rising rate of near-infrared light intensity measured on the nth reference blood sample;

[0022] balance the K value of the initial thrombelastogram by using the reference K value, to obtain a first calibrated thrombelastogram.

[0023] Optionally, the first thrombelastogram is calibrated by using the decay value, to obtain a second calibrated thrombelastogram, including:

[0024] extract the decay value at each reference time point in the curve segment in the light intensity-time change diagram;

[0025] convert the decay value at each reference time point into coagulation intensity at the reference time point according to a conversion parameter between light intensity and coagulation intensity;

[0026] generate a light intensity thrombelastogram curve based on the coagulation intensity at each reference time point;

[0027] generate a second calibrated thrombelastogram by fitting, with the K value of the first thrombelastogram remaining unchanged, and with the curve of the first thrombelastogram and the light intensity thrombelastogram curve as two boundaries.

[0028] Optionally, the LY30 value of the second calibrated thrombelastogram is calibrated by using the decay recovery rate, to obtain a calibrated thrombelastogram, including:

[0029] calculate the reference LY30 value of the initial thrombelastogram by using the decay recovery rate based on an LY30 value calibration formula, the LY30 value calibration formula being:

[0030]

[0031] wherein, the reference LY30 value of the second calibrated thrombelastogram, the decay recovery rate, an LY30 value calibration coefficient, and n is the number of reference blood samples, the LY30 value of a standard thrombelastogram of the nth reference blood sample, a decay recovery rate of near-infrared light intensity measured on the nth reference blood sample;

[0032] balance the LY30 value of the initial thrombelastogram by using the reference LY30 value, to obtain a calibrated thrombelastogram.

[0033] Optionally, the incident optical fiber and the first receiving optical fiber inside the overhanging wire are arranged in a concentric ring shape.

[0034] A thrombelastogram calibration device applied to a thrombelastogram calibration system, the thrombelastogram calibration system comprising an overhanging wire, a mechanical sensor, a container, a near-infrared light source, an incident optical fiber, a first receiving optical fiber, a second receiving optical fiber and a spectrometer; wherein the incident optical fiber and the first receiving optical fiber are embedded inside the overhanging wire, the overhanging wire is connected with the mechanical sensor, the incident optical fiber is connected with the near-infrared light source, the second receiving optical fiber is located at the bottom of the container, the overhanging wire in a static state is coaxial with the second receiving optical fiber on the central axis of the container, and the first receiving optical fiber and the second receiving optical fiber are both connected with the spectrometer.

[0035] The device comprises:

[0036] A container rotation driving unit for driving the container containing the blood sample to rotate;

[0037] An initial thrombelastogram generating unit for generating an initial thrombelastogram based on a mechanical torsion signal of the overhanging wire driven by the blood sample during and after the blood sample forms a blood clot in the process of rotating with the container by the mechanical sensor;

[0038] An optical intensity time variation graph generating unit for generating an optical intensity time variation graph based on a near-infrared light signal collected by the spectrometer in the process of the blood sample rotating with the container;

[0039] An attenuation parameter extracting unit for extracting an attenuation rising rate for representing the coagulation rate of the blood sample, an attenuation value for representing the coagulation intensity of the blood sample and an attenuation recovery rate for representing the fibrinolysis after coagulation of the blood sample from the optical intensity time variation graph;

[0040] A calibration unit for calibrating the initial thrombelastogram based on the attenuation rising rate, the attenuation value and the attenuation recovery rate to obtain a calibrated thrombelastogram.

[0041] A thromboelastography calibration system includes a suspension wire, a mechanical sensor, a container, a near-infrared light source, an incident optical fiber, a first receiving optical fiber, a second receiving optical fiber, and a spectrometer. The incident optical fiber and the first receiving optical fiber are embedded within the suspension wire. The suspension wire is connected to the mechanical sensor. The incident optical fiber is connected to the near-infrared light source. The second receiving optical fiber is located at the bottom of the container. In a static state, the suspension wire and the second receiving optical fiber share the same central axis as the container. Both the first and second receiving optical fibers are connected to the spectrometer.

[0042] The thromboelastography calibration system also includes various units that implement the thromboelastography calibration method described above.

[0043] A thromboelastography calibration device, including a memory and a processor;

[0044] The memory is used to store programs;

[0045] The processor is used to execute the program to implement the various steps of the thromboelastography calibration method as described above.

[0046] A storage medium storing a computer program, which, when executed by a processor, implements the various steps of the thromboelastography calibration method as described above.

[0047] By employing the above technical solution, this application generates an initial thromboelastography map by driving a container containing a blood sample to rotate. During the rotation of the blood sample, a mechanical sensor collects the mechanical torque signal generated during and after the formation of a blood clot, which drives the movement of the suspension wire. A light intensity time-varying graph is then generated using near-infrared light signals collected by a spectrometer. The decay rate of the blood sample's coagulation rate, the decay value of the blood sample's coagulation strength, and the decay recovery rate of fibrinolysis after coagulation are extracted and used to calibrate the initial thromboelastography map, resulting in a calibrated thromboelastography map. Therefore, by using attenuation signals measured based on near-infrared optical principles to calibrate the thromboelastography map based on mechanical principles, the influence of non-coagulation factors on the mechanical signal is reduced, improving the accuracy and reliability of the generated thromboelastography map. Attached Figure Description

[0048] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0049] Figure 1A system structure schematic diagram for implementing thrombelastography calibration provided by an embodiment of the present application;

[0050] Figure 2 A cross-sectional schematic diagram of an incident optical fiber and a first receiving optical fiber arranged in a concentric ring provided by an embodiment of the present application;

[0051] Figure 3 A flowchart schematic diagram for implementing thrombelastography calibration provided by an embodiment of the present application;

[0052] Figure 4 A device structure schematic diagram for implementing thrombelastography calibration provided by an embodiment of the present application;

[0053] Figure 5 A device structure schematic diagram for implementing thrombelastography calibration provided by an embodiment of the present application. DETAILED DESCRIPTION

[0054] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of the present application.

[0055] Figure 1 An optional system architecture for implementing thrombelastography calibration provided by an embodiment of the present application, as shown in Figure 1 , the system architecture can include:

[0056] a hanging wire 1, a mechanical sensor 2, a container 3, a near-infrared light source 4, an incident optical fiber 5, a first receiving optical fiber 6, a second receiving optical fiber 7, and a spectrometer 8.

[0057] Among them, the incident optical fiber 5 and the first receiving optical fiber 6 are embedded in the hanging wire 1. The hanging wire 1 is connected with the mechanical sensor 2. The incident optical fiber 5 is connected with the near-infrared light source 4. The second receiving optical fiber 7 is located at the bottom of the container 3. The hanging wire 1 in the static state is coaxial with the second receiving optical fiber 7 on the central axis of the container 3. The first receiving optical fiber 6 and the second receiving optical fiber 7 are both connected with the spectrometer 8.

[0058] Further, as shown in Figure 2 , the incident optical fiber 5 and the first receiving optical fiber 6 inside the hanging wire 1 can be arranged in a concentric ring. Specifically, the incident optical fiber 5 is in the outer ring of the concentric ring, and the first receiving optical fiber 6 is in the inner circle of the concentric ring. Among them, the incident optical fiber 5, the first receiving optical fiber 6, and the second receiving optical fiber 7 can represent an optical fiber bundle, and the optical fiber bundle can contain multiple optical fiber filaments.

[0059] Specifically, the suspension wire 1 can be a cylindrical structure. One end of the suspension wire 1 located in the container 3 can be open or have a near-infrared transparent design, so that the incident optical fiber 5 and the first receiving optical fiber 6 embedded in the suspension wire 1 can emit and receive near-infrared light into the blood in the container 3. The other end of the suspension wire 1 is connected to a mechanical sensor 2, which is fixed to the cantilever wall. The mechanical sensor 2 can detect the micro-strain changes of the torsional force on the suspension wire 1. The near-infrared light source 4 can be emitted by a broadband light source (such as a xenon lamp) with a wavelength of 700-2500nm. Before entering the incident optical fiber 5, it can be converted into parallel light by an optical fiber collimator.

[0060] It is understandable that when near-infrared light is incident from optical fiber 5 onto a blood sample, the blood sample absorbs, scatters, and reflects the near-infrared light. Therefore, receiving optical fibers are designed in the reflection and transmission directions to capture the degree of near-infrared light intensity attenuation. Red blood cells form rouleaux formations in the early stages of coagulation, leading to enhanced near-infrared light scattering. The slope of the increase in scattered light intensity reflects the red blood cell aggregation rate, indirectly assessing coagulation initiation efficiency. The three-dimensional network formed by fibrin cross-linking increases near-infrared light scattering. In the 1200–1400 nm wavelength range, the scattered light intensity is positively correlated with the fibrin network density, which can quantify the mechanical strength of the blood clot. When plasmin breaks down fibrin, the 1650 nm absorption peak is re-enhanced, the amide I band recovers, and the scattered light intensity decreases. Combined with the LY30 parameter of TEG, hyperfibrinolysis can be identified early.

[0061] based on Figure 1 The system architecture shown is as follows: Figure 3 This paper illustrates a flowchart of a thromboelastography calibration method provided in an embodiment of this application. (Refer to...) Figure 3 Thromboelastography calibration methods may include:

[0062] Step S110: Drive the container containing the blood sample to rotate.

[0063] Specifically, container 3 can be swung back and forth at an angle of 4°45' (frequency 0.1Hz) to simulate the slight peristalsis of blood vessels in the body, thereby providing conditions for the activation of coagulation factors and platelet adhesion.

[0064] Step S120: During the rotation of the blood sample with the container, the mechanical torque signal that drives the suspension wire to move during and after the formation of the blood clot is collected by the mechanical sensor, and an initial thromboelastography is generated based on the mechanical torque signal.

[0065] Specifically, the initial thromboelastogram can be represented as the thromboelastogram measured solely through mechanical principles.

[0066] Step S130, during the rotation of the blood sample with the container, the near-infrared light signal captured by the spectrometer, and the light intensity time variation graph is generated based on the near-infrared light signal.

[0067] Specifically, during the test by the mechanical principle, the light intensity data can be recorded synchronously, and the near-infrared light intensity value at any time during the process of blood sample from blood to coagulation to fibrinolysis can be captured, so as to generate the light intensity time variation graph.

[0068] Step S140, the attenuation rising rate for characterizing the coagulation rate of the blood sample is extracted from the light intensity time variation graph, the attenuation value for characterizing the coagulation intensity of the blood sample is extracted, and the attenuation recovery rate for characterizing the fibrinolysis after the coagulation of the blood sample is extracted.

[0069] It can be understood that when the blood begins to coagulate, the red blood cells form a money-shaped aggregation, the near-infrared light scattering is enhanced, and the captured near-infrared light signal is accelerated to attenuate, so that the curve segment of the continuously rising attenuation amount in the light intensity time variation graph can characterize the coagulation process of the blood sample. Since the scattering light intensity is positively correlated with the fibrin network density, when the intensity of the coagulation blood clot increases, the fibrin network density increases, and then the scattering light intensity increases, the captured near-infrared light signal weakens, that is, the attenuation value increases. When the fibrinolytic enzyme decomposes the fibrin, the absorption peak of the near-infrared light at the 1650nm band is enhanced again, resulting in a decrease in the scattering light intensity, so that the captured near-infrared light signal is enhanced, and the attenuation amount is recovered, so that the curve segment of the decreasing attenuation amount in the light intensity time variation graph can characterize the fibrinolysis process.

[0070] Step S150, the initial thrombelastogram is calibrated by the attenuation rising rate, the attenuation value and the attenuation recovery rate, to obtain the calibrated thrombelastogram.

[0071] Specifically, the initial thrombelastogram can be calibrated by the attenuation rising rate, the attenuation value and the attenuation recovery rate in sequence, or the key parameters (such as K value, LY30 value, intensity peak value) of the initial thrombelastogram can be optimized and calibrated based on the attenuation rising rate, the attenuation value and the attenuation recovery rate at the same time.

[0072] The thromboelastography calibration method provided by the embodiment, by driving the container containing the blood sample to rotate, in the process of the blood sample rotating with the container, the mechanical torsion signal of the suspension wire moving in the process of the blood sample forming a blood clot and after the blood sample forming a blood clot is collected by the mechanical sensor, an initial thromboelastography is generated, the near-infrared light signal collected by the spectrometer is used to generate a light intensity-time change graph, the decay rise rate representing the coagulation rate of the blood sample, the decay value representing the coagulation strength of the blood sample, and the decay recovery rate representing the fibrinolysis after the blood sample coagulation are extracted, so as to calibrate the initial thromboelastography, and obtain the calibrated thromboelastography. As can be seen, on the basis of the thromboelastography measured based on the mechanical principle, the decay signal measured by the near-infrared light optical principle is used to calibrate the thromboelastography, the influence of the mechanical signal on the non-coagulation factor is reduced, and the accuracy and reliability of the generated thromboelastography are improved.

[0073] In some embodiments of the present application, the process of calibrating the initial thromboelastography by the decay rise rate, the decay value and the decay recovery rate to obtain the calibrated thromboelastography is introduced, which can include:

[0074] S1, calibrate the K value of the initial thromboelastography by the decay rise rate to obtain a first calibrated thromboelastography.

[0075] Specifically, the reference K value of the initial thromboelastography can be calculated by the decay rise rate based on the K value calibration formula.

[0076] The K value calibration formula can be:

[0077]

[0078] Wherein, is the reference K value of the initial thromboelastography, is the decay rise rate, is the K value calibration coefficient, n is the number of reference blood samples, is the K value of the standard thromboelastography of the nth reference blood sample, is the decay rise rate of the near-infrared light intensity measured for the nth reference blood sample.

[0079] It can be understood that the decay rise rates of the reference blood samples under the near-infrared light test can be obtained by the standard thromboelastography of the plurality of reference blood samples first, then the K value of the standard thromboelastography is compared with the decay rise rate of the corresponding reference blood sample to obtain a comparison result, and finally the geometric mean value of the comparison results of the plurality of reference blood samples is taken as the K value calibration coefficient. The K value calibration coefficient is multiplied by the decay rise rate measured this time to obtain the reference K value based on the near-infrared light test.

[0080] Further, the K value of the initial thrombelastogram is compensated by the reference K value to obtain a first calibrated thrombelastogram.

[0081] Specifically, the reference K value can be different from the K value of the initial thrombelastogram. When the reference K value is different from the K value of the initial thrombelastogram, the intermediate value of the two K values or the value between the two K values can be taken as the K value of the first calibrated thrombelastogram to adjust the first calibrated thrombelastogram.

[0082] It can be understood that taking the intermediate value of the two K values or the value between the two K values can balance the measurement results based on near-infrared light testing and mechanical principle testing, reduce the influence of mechanical signal interference by non-clotting factors, and improve the accuracy and reliability of the generated thrombelastogram.

[0083] S2, balance calibration of the first thrombelastogram by the decay value to obtain a second calibrated thrombelastogram.

[0084] Specifically, the process of balance calibration of the first thrombelastogram by the decay value to obtain the second calibrated thrombelastogram can include:

[0085] S21, extracting decay values at a plurality of reference time points in the curve segment in the light intensity-time change graph.

[0086] Specifically, a plurality of reference time points can be selected at equal time intervals. To facilitate fitting of the thrombelastogram, the reference time points can be selected at a shorter time interval / denser scale.

[0087] S22, converting the decay value at each reference time point into the coagulation intensity at the reference time point according to the conversion parameter between light intensity and coagulation intensity.

[0088] The conversion parameter can be obtained by pre-determining the standard thrombelastogram and the standard light intensity-time change graph of a plurality of reference blood samples.

[0089] S23, generating a light intensity thrombelastogram curve based on the coagulation intensity at each reference time point.

[0090] Specifically, a template function of the thrombelastogram curve can be called to interpolate between the coagulation intensities at each reference time point to generate a light intensity thrombelastogram curve.

[0091] S24, keeping the K value of the first thrombelastogram unchanged, taking the curve of the first thrombelastogram and the light intensity thrombelastogram curve as two boundaries, and fitting to generate a second calibrated thrombelastogram.

[0092] For example, the intensity value of the curve of the first thrombelastogram at time point A is M1, and the intensity value of the light intensity thrombelastogram at time point A is M2. Then the intensity value of the second calibration thrombelastogram at time point A can be the intermediate value of M1 and M2, or a value between M1 and M2. The second calibration thrombelastogram obtained in this way needs to keep the K value of the first thrombelastogram unchanged, and keep the intensity change trend of the thrombelastogram.

[0093] S3, calibrate the LY30 value of the second calibration thrombelastogram by the decay recovery rate to obtain a calibrated thrombelastogram.

[0094] Specifically, the reference LY30 value of the initial thrombelastogram can be calculated by the decay recovery rate based on the LY30 value calibration formula.

[0095] The LY30 value calibration formula can be:

[0096]

[0097] Wherein, is the reference LY30 value of the second calibration thrombelastogram, is the decay recovery rate, is the LY30 value calibration coefficient, and n is the number of reference blood samples, is the LY30 value of the standard thrombelastogram of the nth reference blood sample, is the decay recovery rate of the near-infrared light intensity measured for the nth reference blood sample.

[0098] It can be understood that the decay recovery rates of the reference blood samples under near-infrared light testing can be obtained by the standard thrombelastograms of the multiple reference blood samples first, and then the LY30 value of the standard thrombelastogram is compared with the decay recovery rate of the corresponding reference blood sample to obtain a comparison result, and finally the geometric mean of the comparison results of the multiple reference blood samples is taken as the LY30 value calibration coefficient. The LY30 value calibration coefficient is multiplied by the decay recovery rate measured this time to obtain the reference LY30 value based on near-infrared light testing.

[0099] Further, the LY30 value of the initial thrombelastogram is balanced by the reference LY30 value to obtain a calibrated thrombelastogram.

[0100] Specifically, the reference LY30 value can be different from the LY30 value of the second thrombelastogram. When the reference LY30 value is different from the LY30 value of the second thrombelastogram, the intermediate value of the two LY30 values or the value between the two LY30 values can be taken as the final LY30 value of the thrombelastogram to adjust to obtain the calibrated thrombelastogram.

[0101] It can be understood that taking the intermediate value of the two LY30 values or taking the value between the two LY30 values can balance the measurement results of both the near-infrared light test and the mechanical principle test, reduce the influence of the mechanical signal on the non-coagulation factor, and improve the accuracy and reliability of the thromboelastography generated.

[0102] The device for implementing thromboelastography calibration provided by the embodiments of the present application is described below. The device for implementing thromboelastography calibration described below can be correspondingly referred to the method for implementing thromboelastography calibration described above.

[0103] Referring to Figure 4 , Figure 4 The device for implementing thromboelastography calibration disclosed by the embodiments of the present application is a structural schematic diagram.

[0104] As Figure 4 indicated, the device can include:

[0105] A container rotation driving unit 11 is configured to drive a container containing a blood sample to rotate;

[0106] An initial thromboelastography generating unit 12 is configured to, during rotation of the blood sample with the container, collect a mechanical torsion signal of a suspension wire driven by the blood sample to form a blood clot and then move, based on a near-infrared light signal collected by a spectrometer, and generate an initial thromboelastography based on the mechanical torsion signal;

[0107] An optical intensity time variation graph generating unit 13 is configured to, during rotation of the blood sample with the container, collect a near-infrared light signal collected by a spectrometer, and generate an optical intensity time variation graph based on the near-infrared light signal;

[0108] An attenuation parameter extracting unit 14 is configured to extract, from the optical intensity time variation graph, an attenuation rising rate for representing a coagulation rate of the blood sample, an attenuation value for representing a coagulation intensity of the blood sample, and an attenuation recovery rate for representing fibrinolysis after coagulation of the blood sample;

[0109] A calibration unit 15 is configured to calibrate the initial thromboelastography based on the attenuation rising rate, the attenuation value, and the attenuation recovery rate, to obtain a calibrated thromboelastography.

[0110] Optionally, the specific implementation logic of each unit of the thromboelastography calibration device can be correspondingly referred to the thromboelastography calibration method provided by the foregoing embodiments, which will not be described here.

[0111] The embodiments of the present application also disclose a thromboelastography calibration system, which includes the device for implementing thromboelastography calibration as Figure 1The shown overhanging wire 1, mechanical sensor 2, container 3, near-infrared light source 4, incident optical fiber 5, first receiving optical fiber 6, second receiving optical fiber 7 and spectrometer 8. Among them, the incident optical fiber 5 and the first receiving optical fiber 6 are embedded in the overhanging wire 1, the overhanging wire 1 is connected with the mechanical sensor 2, the incident optical fiber 5 is connected with the near-infrared light source 4, the second receiving optical fiber 7 is located at the bottom of the container 3, the overhanging wire 1 in the static state is coaxial with the second receiving optical fiber 6 on the central axis of the container 3, and the first receiving optical fiber 6 and the second receiving optical fiber 7 are connected with the spectrometer 8. In addition, the thrombelastogram calibration system of the embodiment can also include various units for implementing the thrombelastogram calibration method mentioned in the foregoing embodiment. The specific implementation logic of each unit can refer to the related description in the foregoing thrombelastogram calibration method part, which will not be described here.

[0112] The thrombelastogram calibration device provided by the embodiments of the present application can be applied to a thrombelastogram calibration device. Optionally, Figure 5 The hardware structure block diagram of the thrombelastogram calibration device is shown, referring to Figure 5 The hardware structure of the thrombelastogram calibration device can include at least one processor 100, at least one communication interface 200, at least one memory 300 and at least one communication bus 400;

[0113] In the embodiments of the present application, the number of processors 100, communication interfaces 200, memories 300 and communication buses 400 is at least one, and the processor 100, the communication interface 200 and the memory 300 complete mutual communication through the communication bus 400;

[0114] The processor 100 can be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present application, etc.

[0115] The memory 300 can include a high-speed RAM memory, and can also include a non-volatile memory, etc., such as at least one disk memory;

[0116] The memory stores a program, and the processor can call the program stored in the memory, and the program is used to:

[0117] Drive the container containing the blood sample to rotate;

[0118] During the rotation of the blood sample with the container, the mechanical torsion signal of the overhanging wire driven by the blood sample during and after the formation of the blood clot is collected by the mechanical sensor, and an initial thrombelastogram is generated based on the mechanical torsion signal;

[0119] acquiring, by a spectrometer, near-infrared light signals during rotation of the blood sample with the container, and generating a light intensity-time variation graph based on the near-infrared light signals;

[0120] extracting, from the light intensity-time variation graph, an attenuation rising rate for representing a coagulation rate of the blood sample, an attenuation value for representing a coagulation intensity of the blood sample, and an attenuation recovery rate for representing fibrinolysis after coagulation of the blood sample;

[0121] calibrating the initial thrombelastogram based on the attenuation rising rate, the attenuation value, and the attenuation recovery rate to obtain a calibrated thrombelastogram.

[0122] Optionally, the refinement function and the extension function of the program can refer to the description above.

[0123] The embodiment of the application further provides a storage medium which can store a program suitable for processor execution, and the program is used for:

[0124] driving the container with the blood sample to rotate;

[0125] acquiring, by a mechanical sensor, mechanical torsion signals of the blood sample in the process of forming a blood clot and after driving a hanging wire to move during rotation of the blood sample with the container, and generating an initial thrombelastogram based on the mechanical torsion signals;

[0126] acquiring, by a spectrometer, near-infrared light signals during rotation of the blood sample with the container, and generating a light intensity-time variation graph based on the near-infrared light signals;

[0127] extracting, from the light intensity-time variation graph, an attenuation rising rate for representing a coagulation rate of the blood sample, an attenuation value for representing a coagulation intensity of the blood sample, and an attenuation recovery rate for representing fibrinolysis after coagulation of the blood sample;

[0128] calibrating the initial thrombelastogram based on the attenuation rising rate, the attenuation value, and the attenuation recovery rate to obtain a calibrated thrombelastogram.

[0129] Optionally, the refinement function and the extension function of the program can refer to the description above.

[0130] Finally, it should be noted that the terms "first", "second", and the like, herein do not denote any order, quantity, combination, or importance, but rather are used to distinguish one element from another, and are not intended to denote the presence of any such actual relationship or order. Moreover, the terms "include", "have", or any other variant thereof are intended to encompass non-exclusive inclusions, such that processes, methods, articles, or apparatuses that comprise a list of elements are not required to comprise only those elements in the list, but can include other elements not expressly listed, or also include elements inherent in such processes, methods, articles, or apparatuses. Without additional restrictions, an element preceded by "comprises... a" does not exclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the stated element.

[0131] The various embodiments in the specification are described in progressive order with each embodiment building on one or more of the previous embodiments, however the order of the embodiments described is not intended to be construed as a requirement or limitation for these embodiments. Any one or more of the embodiments described with reference to a particular set of one or more other embodiments are optionally employable together with one or more other embodiments and / or in any appropriate combination.

[0132] The above description of disclosed embodiments is intended to be illustrative and not restrictive. Many embodiments will be apparent to those of skill in the art upon reading and understanding the above description, the applications, therefore, are not limited to the embodiments described above but can be practiced with modification and alteration within the scope and spirit of the following claims. Accordingly, the ensure scope of the application is set forth in the following claims.

Claims

1. A method for calibrating thromboelastography, characterized in that, An application is made in a thromboelastography calibration system, which includes a suspension wire, a mechanical sensor, a container, a near-infrared light source, an incident optical fiber, a first receiving optical fiber, a second receiving optical fiber, and a spectrometer. The suspension wire contains the incident optical fiber and the first receiving optical fiber. The suspension wire is connected to the mechanical sensor. The incident optical fiber is connected to the near-infrared light source. The second receiving optical fiber is located at the bottom of the container. In a static state, the suspension wire and the second receiving optical fiber are aligned along the central axis of the container. Both the first and second receiving optical fibers are connected to the spectrometer. The method includes: Drive the container containing the blood sample to rotate; During the rotation of the blood sample with the container, the mechanical sensor collects the mechanical torque signal that drives the suspension wire to move during and after the formation of a blood clot, and an initial thromboelastography is generated based on the mechanical torque signal. As the blood sample rotates with the container, near-infrared light signals are collected by the spectrometer, and a light intensity time variation graph is generated based on the near-infrared light signals. The decay rise rate for characterizing the coagulation rate of the blood sample, the decay value for characterizing the coagulation intensity of the blood sample, and the decay recovery rate for characterizing fibrinolysis after coagulation of the blood sample are extracted from the light intensity time variation graph. The initial thromboelastogram is calibrated by using the attenuation rise rate, the attenuation value, and the attenuation recovery rate to obtain a calibrated thromboelastogram.

2. The method according to claim 1, characterized in that, The initial thromboelastogram is calibrated using the attenuation rise rate, the attenuation value, and the attenuation recovery rate to obtain a calibrated thromboelastogram, including: The K value of the initial thromboelastogram is calibrated by the decay rise rate to obtain a first calibrated thromboelastogram; The first thromboelastogram is balanced and calibrated using the attenuation value to obtain a second calibrated thromboelastogram; The LY30 value of the second calibrated thromboelastogram is calibrated using the attenuation recovery rate to obtain the calibrated thromboelastogram.

3. The method according to claim 2, characterized in that, The K value of the initial thromboelastogram is calibrated using the decay rise rate to obtain a first calibrated thromboelastogram, including: Based on the K-value calibration formula, the reference K-value of the initial thromboelastogram is calculated using the decay rise rate. The K-value calibration formula is as follows: in, The reference K value for the initial thromboelastography. The rate of increase of the decay, K is the calibration coefficient, and n is the number of reference blood samples. The K value is the standard thromboelastography value of the nth reference blood sample. The decay rate of near-infrared light intensity measured for the nth reference blood sample; The reference K value is used to balance the K value of the initial thromboelastography to obtain the first calibrated thromboelastography.

4. The method according to claim 2, characterized in that, The first thromboelastogram is balanced and calibrated using the attenuation value to obtain a second calibrated thromboelastogram, including: Extract the attenuation value at several reference time points from the curve segment in the light intensity time variation graph; According to the conversion parameter between light intensity and coagulation intensity, the attenuation value at each reference time point is converted into the coagulation intensity at that reference time point; Thromboelastic curves are interpolated based on coagulation intensity at various reference time points to generate light intensity thromboelastic curves. With the K value of the first thromboelastography unchanged, and using the curve of the first thromboelastography and the light intensity thromboelastography curve as two boundaries, a second calibrated thromboelastography is generated by fitting.

5. The method according to claim 2, characterized in that, The LY30 value of the second calibrated thromboelastogram is calibrated using the attenuation recovery rate to obtain a calibrated thromboelastogram, including: Based on the LY30 value calibration formula, the reference LY30 value of the initial thromboelastogram is calculated using the attenuation recovery rate. The LY30 value calibration formula is as follows: in, This is the reference LY30 value for the second calibrated thromboelastography. The decay recovery rate, Here, n is the calibration coefficient for the LY30 value, and n is the number of reference blood samples. The LY30 value of the standard thromboelastography for the nth reference blood sample. The decay recovery rate of the near-infrared light intensity measured for the nth reference blood sample; The LY30 value of the initial thromboelastography is balanced using the reference LY30 value to obtain the calibrated thromboelastography.

6. The method according to any one of claims 1-5, characterized in that, The incident optical fiber and the first receiving optical fiber inside the suspension wire are arranged in a concentric ring.

7. A thromboelastography calibration device, characterized in that, An application is made in a thromboelastography calibration system, which includes a suspension wire, a mechanical sensor, a container, a near-infrared light source, an incident optical fiber, a first receiving optical fiber, a second receiving optical fiber, and a spectrometer. The suspension wire contains the incident optical fiber and the first receiving optical fiber. The suspension wire is connected to the mechanical sensor. The incident optical fiber is connected to the near-infrared light source. The second receiving optical fiber is located at the bottom of the container. In a static state, the suspension wire and the second receiving optical fiber are aligned along the central axis of the container. Both the first and second receiving optical fibers are connected to the spectrometer. The device includes: A container rotation drive unit is used to drive the container containing the blood sample to rotate; An initial thromboelastography generation unit is used to collect mechanical torque signals from the blood sample during and after the formation of a blood clot by the mechanical sensor as the blood sample rotates with the container, and to generate an initial thromboelastography based on the mechanical torque signals. The light intensity time variation graph generation unit is used to collect near-infrared light signals through the spectrometer during the process of the blood sample rotating with the container, and generate a light intensity time variation graph based on the near-infrared light signals. The attenuation parameter extraction unit is used to extract the attenuation rise rate, which characterizes the coagulation rate of the blood sample, from the light intensity time variation diagram, extract the attenuation value, which characterizes the coagulation intensity of the blood sample, and extract the attenuation recovery rate, which characterizes the fibrinolysis after coagulation of the blood sample. A calibration unit is used to calibrate the initial thromboelastogram using the attenuation rise rate, the attenuation value, and the attenuation recovery rate to obtain a calibrated thromboelastogram.

8. A thromboelastography calibration system, characterized in that, The device includes a suspension wire, a mechanical sensor, a container, a near-infrared light source, an incident optical fiber, a first receiving optical fiber, a second receiving optical fiber, and a spectrometer. The incident optical fiber and the first receiving optical fiber are embedded within the suspension wire. The suspension wire is connected to the mechanical sensor. The incident optical fiber is connected to the near-infrared light source. The second receiving optical fiber is located at the bottom of the container. In a static state, the suspension wire and the second receiving optical fiber share the same central axis as the container. Both the first and second receiving optical fibers are connected to the spectrometer. The thromboelastography calibration system further includes various units that implement the thromboelastography calibration method as described in any one of claims 1-6.

9. A thromboelastography calibration device, characterized in that, Including memory and processor; The memory is used to store programs; The processor is configured to execute the program to implement each step of the thromboelastography calibration method as described in any one of claims 1-6.

10. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements each step of the thromboelastography calibration method as described in any one of claims 1-6.

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