WO2019228048A1

WO2019228048A1 - Method for determining blood coagulation time, electronic apparatus, and storage medium

Info

Publication number: WO2019228048A1
Application number: PCT/CN2019/080307
Authority: WO
Inventors: 张彤; 赵峻祎; 汤嘉慧; 方磊; 周楚青; 陈宇薇; 王继华
Original assignee: 广州万孚生物技术股份有限公司
Priority date: 2018-06-01
Filing date: 2019-03-29
Publication date: 2019-12-05
Also published as: CN108761105A; CN108761105B

Abstract

A method for determining blood coagulation time, an electronic apparatus, and a storage medium. The method comprises: acquiring multiple pieces of blood coagulation feature sampling data sampled over time during a blood coagulation test; determining a blood coagulation starting time and a blood coagulation ending time on the basis of the blood coagulation feature sampling data; and determining a blood coagulation time according to the blood coagulation starting time and the blood coagulation ending time. The method determines blood coagulation time by means of data analysis, thereby improving the efficiency of determining a blood coagulation time.

Description

Method for determining coagulation time, electronic equipment and storage medium

This application claims the priority of a Chinese patent application filed on June 01, 2018 with the Chinese Patent Office, application number 201810554622.7, and the invention name is "Clotting time determination method, electronic device and storage medium", the entire contents of which are incorporated by reference in In this application.

Technical field

The present invention relates to the technical field related to blood coagulation testing, in particular to a method for determining blood coagulation time, an electronic device and a storage medium.

Background technique

The process by which blood changes from a liquid to a gel-like clot is called a blood coagulation process. During this process, the coagulation factors in the blood are activated in a certain order, so that fibrinogen in the blood is converted into insoluble fibrin. Fibrin crosslinks into a network, forming a gel-like clot. The time of blood clotting is called clotting time, and the length of clotting time is affected by coagulation factors. Currently available clotting time measurements include Prothrombin Time (PT), Activated Partial Thromboplastin Time (APTT), Activated Clotting Time (ACT), and Thrombin Time , TT). The measurement of clotting time is very important for the monitoring of blood diseases such as thrombosis, the monitoring of anticoagulants, and the screening of clotting factors.

Existing devices and methods for testing blood coagulation based on a microfluidic chip mainly apply a voltage difference to a blood sample in the microfluidic chip, measure an electrical signal of a certain duration, and analyze the measurement result curve to obtain Cumulative characteristics of blood coagulation time-related measurement functions.

However, the prior art has the following disadvantages:

First, the requirements for input data are high. The determination of the coagulation time is based on the area between several points or the calculation of the electrical signal strength. However, due to the influence of noise and other factors, the determination of the coagulation time is not obvious;

Second, the real-time robustness is poor. Based on disadvantage one, when the original data is noisy, existing algorithms cannot make correct judgments;

Third, the operation speed is slow. Part of the post-processing process is based on area as the basis of judgment, so the amount of calculation is large, resulting in a slow algorithm and difficult to meet the requirements of real-time systems.

Summary of the Invention

Based on this, it is necessary to provide a method for determining a coagulation time, an electronic device, and a storage medium for the technical problem of low accuracy of the determination of the coagulation time in the prior art.

The invention provides a method for determining a coagulation time, including:

Obtain multiple blood coagulation characteristics sampling data sampled over time in a coagulation test;

Determining the coagulation start time and the coagulation end time based on the blood coagulation characteristic sampling data;

The coagulation time is determined based on the coagulation start time and the coagulation end time.

Further, determining the coagulation start time and the coagulation end time based on the blood coagulation characteristic sampling data specifically includes: calculating a corresponding slope for each of the blood coagulation characteristic sampling data based on a search step;

The coagulation start time and the coagulation end time are determined based on the slope.

Furthermore, the search step size includes a starting search step size and an end search step size;

The step of calculating a corresponding slope for each of the blood coagulation characteristic sampling data based on the search step specifically includes:

Calculating a corresponding starting point search slope for each of the blood coagulation characteristic sampling data based on the starting point search step, and calculating a corresponding ending point search slope for each of the blood coagulation characteristic sampling data based on the starting point search step;

The determination of the coagulation start time and the coagulation end time based on the slope specifically includes:

The coagulation start time is determined based on the starting point search slope, and the coagulation end time is determined based on the end point search slope.

Still further, the end search step size is determined in the following manner:

Performing a plurality of polynomial curve fittings on the blood coagulation characteristic sampling data by using a plurality of fitting terms to obtain a plurality of fitting curves with the fitting terms as parameters;

According to the type of coagulation test, a fitting curve that conforms to a preset selection rule is selected from a plurality of the fitting curves as a reference fitting curve, and the number of fitting terms of the reference fitting curve is used as the number of reference fitting terms ;

Calculate the end search step size according to the number of reference fitting terms.

Still further, the selection rule includes:

If the type of coagulation test is an activated partial thromboplastin time test or an activated coagulation time test, a fitting curve with the largest fitting error is selected as a reference fitting curve;

If the type of the blood coagulation test is a thrombin time test or a prothrombin time test, a fitting curve with the smallest fitting error is selected as a reference fitting curve.

Still further, determining the blood coagulation start time based on the starting search slope specifically includes:

The sampling time corresponding to the blood coagulation characteristic sampling data with the largest search slope at the starting point is selected as the coagulation start time.

Still further, determining the coagulation end time based on the endpoint search slope specifically includes:

After presetting a peak interference time period after the coagulation start time, determining a continuous same slope time period or a negative slope time period based on the endpoint search slope;

The start time of the continuous same slope time period or the start time of the negative slope time period is selected as the clotting end time.

Still further, determining the continuous same slope time period based on the endpoint search slope specifically includes:

If there are multiple consecutive blood-coagulation characteristic sampling data with the same end point search slope and a positive slope, and the number reaches a preset first number threshold, the sampling time period corresponding to the blood-coagulation characteristic sampling data with the same end-point search slope is regarded as continuous and the same Slope time period, or

If there are multiple consecutive blood coagulation characteristic sampling data with the end point search slope of zero, and the number reaches a preset second number threshold, the sampling time period corresponding to the blood coagulation characteristic sampling data with the end point search slope of zero is taken as the continuous same slope time segment;

Wherein, the endpoint search slopes are consistent, specifically: the difference between the endpoint search slopes is within a preset difference threshold.

Still further, selecting the start time of the continuous same slope time period or the start time of the negative slope time period as the clotting end time specifically includes:

Calculate a first difference between the start time of the negative slope time period and the coagulation start time, and if the first difference is within a preset first time range, select the start time of the negative slope time period As the clotting end time, otherwise;

Calculate a second difference between the start time of the continuous same slope time period and the coagulation start time, if the second difference is outside a preset second time range, and the If the start time is less than the start time of the negative slope time period, the start time of the negative slope time period is selected as the clotting end time. If the second difference value is outside a preset second time range, and The start time of the continuous same slope time period is greater than the start time of the negative slope time period, then the start time of the continuous same slope time period is selected as the clotting end time, otherwise;

If the second difference value is within a preset second time range, a start time of a continuous same slope time period is selected as the clotting end time.

The invention provides an electronic device, including:

At least one processor; and

A memory connected in communication with the at least one processor; wherein,

The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to:

Calculating a corresponding starting point search slope for each of the blood coagulation characteristic sampling data based on the starting point search step size, and calculating a corresponding ending point search slope for each of the blood coagulation characteristic sampling data based on the starting point search step size;

Still further, the end search step size is determined in the following manner:

According to the type of blood coagulation test, a fitting curve that conforms to a preset selection rule is selected from a plurality of the fitting curves as a reference fitting curve, and the number of fitting terms of the reference fitting curve is used as the reference fitting term ;

Still further, the selection rule includes:

If there are multiple consecutive blood-coagulation characteristic sampling data with the same end point search slope and a positive slope, and the number reaches a preset first number threshold, the sampling time period corresponding to the blood-coagulation characteristic sampling data with the same end-point search slope is regarded as the same continuously Slope time period, or

Wherein, the endpoint search slopes are consistent, and specifically, the difference between the endpoint search slopes is within a preset difference threshold range.

The present invention provides a storage medium that stores computer instructions, and when the computer executes the computer instructions, it is used to perform all steps of the method for determining a coagulation time as described above.

The invention determines the coagulation time through data analysis, which effectively improves the judgment efficiency of the coagulation time.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a working flowchart of a method for determining a coagulation time according to the present invention;

Figure 2a is a schematic diagram of the sampling data curve of the prothrombin time test;

FIG. 2b is a schematic diagram of a sampling data curve of an activated coagulation time test; FIG.

FIG. 2c is a schematic diagram of a sampling data curve of a thromboplastin time test of an activated part; FIG.

Figure 2d is a schematic diagram of the sampling data curve of the thrombin time test;

Figure 3 is a schematic diagram of a coagulation curve;

FIG. 4a is a schematic diagram of searching for coagulation start time; FIG.

FIG. 4b is a schematic diagram of judging the end time of coagulation according to the continuous same slope time period;

4c is a schematic diagram of judging an end time of coagulation according to a continuous zero slope time period;

4d is a schematic diagram of judging an end time of coagulation according to a negative slope time period;

5 is a working flowchart of a method for determining a coagulation time according to a preferred embodiment of the present invention;

FIG. 6 is a working flowchart for obtaining a coagulation time based on a continuous slope time and a negative slope time according to a preferred embodiment of the present invention; FIG.

7 is a schematic diagram of a hardware structure of an electronic device according to the present invention;

FIG. 8 is a schematic diagram of a system structure according to a preferred embodiment of the present invention.

Detailed ways

The present invention will be described in further detail below with reference to the drawings and specific embodiments.

FIG. 1 is a working flowchart of a method for determining a coagulation time according to the present invention, including:

Step S101, obtaining a plurality of blood coagulation characteristic sampling data sampled over time in a coagulation test;

Step S102: Determine a coagulation start time and an coagulation end time based on the blood coagulation characteristic sampling data;

In step S103, the coagulation time is determined according to the coagulation start time and the coagulation end time.

Specifically, the blood coagulation characteristic sampling data may be a schematic diagram of sampling data curves in tests such as prothrombin time, activated coagulation time, activated partial thromboplastin time, and thrombin time as shown in Figs. 2a to 2d. The blood coagulation characteristic sampling data can be obtained through a blood coagulation meter. The blood coagulation meter can apply electrical signals to the blood sample and perform sampling at each sampling time to obtain blood coagulation characteristic sampling data. The obtained blood coagulation characteristic sampling data can be stored in a file form, for example, in a binary file form.

In step S101, a file storing blood coagulation characteristic sampling data can be obtained, and the file is read to obtain a plurality of blood coagulation characteristic sampling data sampled over time. The file of blood coagulation characteristic sampling data can be obtained from the real-time blood sample characteristic analysis and recording instrument. Specifically, the real-time blood sample collection device uniformly disperses the collected blood sample into the analysis channel according to the capillary motion characteristics of the blood, and the real-time blood sample characteristic analysis and recording instrument records the coagulation signal by measuring the electrical characteristics of the analysis channel in the real-time blood sample collection device. The electrical characteristics are measured by two electrodes with a distance of 3mm-5mm. A coagulation test reagent is carried between the two electrodes. . Apply a potential difference between the two electrodes and record the resistance between the two electrodes. When the blood fills the analysis channel, the resistance begins to change. The measurement resolution is 0.000001Ω, the measurement frequency is 3 to 9 times per second, and these measurement data are recorded in a storage medium. After measuring the electrical characteristics for a certain period of time, an electrical characteristics-time data stream can be obtained.

Step S102 may determine the coagulation start time based on, for example, the first change point of the curve of the blood coagulation characteristic sampling data, the peak of the curve, or a threshold judgment based on experience.

In one embodiment, the determining the coagulation start time and the coagulation end time based on the blood coagulation characteristic sampling data specifically includes: calculating a corresponding slope for each of the blood coagulation characteristic sampling data based on a search step;

The coagulation start time and the coagulation end time are determined based on the slope. Specifically, a slope calculation may be performed on the obtained blood coagulation characteristic sampling data, and the coagulation start time and the coagulation end time may be determined based on a slope corresponding to each blood coagulation characteristic sampling data.

The slope can be calculated as follows:

Sampling data for each of the blood coagulation characteristics:

The current blood coagulation characteristic sampling data is taken as the first blood coagulation characteristic sampling data, and the sampling time corresponding to the first blood coagulation characteristic sampling data is taken as the current sampling time, and the blood coagulation characteristic sampling data here is the electrical characteristic data obtained by the test;

Taking the sampling time after the current sampling time is increased by the search step as the sampling time to be calculated, and using the blood coagulation characteristic sampling data corresponding to the sampling time to be calculated as the second blood coagulation characteristic sampling data;

Calculate the search slope corresponding to the first blood coagulation characteristic sampling data: (first blood coagulation characteristic sampling data-second blood coagulation characteristic sampling data) / search step.

Figure 3 illustrates a typical coagulation curve. There are five main stages of the coagulation curve:

The first stage: Before the blood drips into the reagent card, there is no liquid communication between the two electrodes, so it has a large resistance.

The second stage: blood drips into the reagent card, because the plasma fills the reagent tank, resulting in a sharp decrease in the resistance between the two electrodes.

The third stage: the red blood cells in the blood are evenly filled with the reagent card, causing the resistance between the two electrodes to increase.

The fourth stage: The red blood cells at the rear of the reagent tank slowly move to the front of the reagent tank due to capillary action, which causes the resistance between the two electrodes to decrease.

The fifth stage: due to the coagulation waterfall reaction, blood coagulation hinders the red blood cells from moving forward. After this point, the resistance change between the two electrodes is small.

As can be seen from Figure 3, the slope of the coagulation curve has changed significantly at different stages. For example, when the plasma fills the reagent tank, the slope corresponding to the sampling data of blood coagulation characteristics will change specifically. The change can be used to determine the start time of coagulation . And when the red blood cells slowly move forward to reach a certain time for coagulation to occur, the slope corresponding to the blood coagulation characteristic sampling data will also have a specific change, and the change can be used to determine the end of coagulation.

Then, in step S103, the difference between the coagulation end time and the coagulation start time may be used as the coagulation time.

In one embodiment, the search step includes a starting search step and an ending search step;

Blood coagulation characteristics sampling data requires data preprocessing. Pre-processing includes calculation of step size. There are many ways to calculate the step size, including but not limited to estimating by abstracting the results of curve fitting. The step value can also be obtained by a preset value or a comprehensive weighting of the preset value and the curve fitting result. In this embodiment, different search steps are used for the starting point and the ending, so that different slopes can be used to judge the coagulation start time and the coagulation end time, respectively. The starting point search step size can adopt a preset value, preferably two points, that is, the starting point search slope of each blood coagulation characteristic sampling data is preferably (first blood coagulation characteristic sampling data-two points of blood coagulation characteristic sampling data) / 2 .

In one embodiment, the starting search step size is a preset value.

In one embodiment, the end search step size is determined in the following manner:

The existing polynomial curve fitting method can be used to perform curve fitting on the blood coagulation characteristic sampling data to obtain a fitted curve. When fitting, try different numbers of fitted items, and then determine the number of fitted items according to the selection rule, and calculate the end search step. There are multiple methods for obtaining the step size by the number of fitted items. In this embodiment, it is considered that the number of fitted items is proportional to the step size, that is, the end search step size = reference fit item number / preset value.

In one embodiment, the selection rule includes:

This embodiment uses different numbers of fitting terms as the basis for calculating step sizes for different coagulation tests. For example, for curves with a large amount of data, such as APTT / ACT, the number of fitting terms of the fitting curve with the largest fitting error is used to calculate the endpoint. Search step size, because the number of fitting terms with the largest fitting error can reflect the trend of the curve to a greater extent and eliminate the influence of noise; for curves with a small amount of data, such as TT / PT, the fitting curve with the smallest fitting error is used. The number of combined terms is calculated to obtain the end search step, because the number of fitted terms with the smallest fitting error can retain more details of the curve with a smaller amount of data.

After the pretreatment, a second analysis of the data was started, including the search of the coagulation start time and the coagulation end time.

In one embodiment, the determining the coagulation start time based on the starting point search slope specifically includes:

The main basis of coagulation start time search is the first curve change of the coagulation curve expressed in low-dimensional space. For example, the measurement of slope change in low-dimensional space is the most commonly used basis. , Including any other curve change points based on low-dimensional space features. In this embodiment, the blood coagulation start time is searched to calculate the starting point search slope based on the starting point search step to determine the blood coagulation start time. The starting point search step size can adopt a preset value, preferably two points, that is, the starting point search slope of each blood coagulation characteristic sampling data is preferably (first blood coagulation characteristic sampling data-two points of blood coagulation characteristic sampling data) / 2 . It can be seen from FIG. 4a that during the second stage when the plasma fills the reagent tank, the slope continues to increase, and then the slope increases to the highest point and then reverses. The sampling time corresponding to the highest point is the coagulation start time. Therefore, in this embodiment, the sampling time corresponding to the blood coagulation characteristic sampling data with the largest starting point search slope is used as the coagulation start time.

In one of the embodiments, the determining the coagulation end time based on the endpoint search slope specifically includes:

The start time of the continuous same slope time period or the start time of the negative slope time period is used as the clotting end time.

In this embodiment, a search for the coagulation end time is performed. In this step, the coagulation data needs to be extracted once from the high-dimensional space to the low-dimensional space, that is, the coagulation end time is found by analyzing the slope of the low-dimensional space characteristic curve. This includes:

First, search the starting point of the clotting end time and move it backward. As shown in Figure 3, after the start of the second stage of coagulation, a curve peak will be formed due to the third and fourth stage curves. The appearance of peaks can interfere with the search for the end of clotting in stage 5. Therefore, it is necessary to start searching for the clotting end time after the peak interference period to avoid peak interference. The peak interference time period can be obtained by using preset values for different coagulation tests or a combination of preset values and the amount of curve data. Next, based on the previously obtained step size, the low-dimensional spatial characteristic curve slope of the blood coagulation characteristic sampling data points is calculated after the starting point of the blood clotting end time search, that is, the end search slope of each blood coagulation characteristic sampling data (the first blood coagulation characteristic Sampling data-blood coagulation characteristic sampling data after step point) / step size.

There are several methods for the hemagglutination end point based on the slope estimation of the low-dimensional space characteristic curve provided by the present invention: 1) Constant data slope: When the data change is continuous, but the data slope is constant. This indicates that the data curve is actually in a stable state. This data segment and data point may be the end time of coagulation; 2) Zero data slope: the lowest data change rate is the slowest and lowest point of low-dimensional feature changes, which usually indicates that the data is at this time. The window has not changed. The most common measurement of this change is the slope of the low-dimensional feature, so the point at which the slope is zero and the zero slope is maintained for a period of time is the possible clotting end time; 3) Constant based on a smooth window of 1, 2 Data change rate: For relatively noisy data segments, although the data changes appear jagged in low-dimensional space, this is actually a feature of data that is stable and unchanged. It is also a possible clotting end time; 4) Negative data slope: the negative slope of the data change in the low-dimensional feature space, which indicates a turning point in data change, which is also the possible clotting end time in practice; 5) the most obvious data change Point: In some actual coagulation data, the most obvious data change point, such as the extreme value of the slope, may indicate the end of coagulation. In this part, you can set the priority of the coagulation end point estimation method according to the empirical value, and you can also set different algorithms to jump out of the strategy. When you find the first coagulation end time with a higher feasibility, you can jump out of the subsequent algorithm processing, so as to achieve Fast real-time requirements.

Therefore, the search for the coagulation end time in this embodiment includes the search for continuous slope points and the search for negative slope points. The search for continuous slope points includes the search for continuous positive slope points and the search for continuous zero slope points. The continuous slope point can be regarded as the end time of coagulation, because the red blood cell movement stops after the coagulation reaction occurs, causing the resistance change to stabilize. The negative slope point can be regarded as the end time of coagulation, because fibrin cross-links to form a network structure after coagulation occurs, resulting in an increase in resistance, which is reflected in the slope as a negative slope.

In one of the embodiments, determining the continuous same slope time period based on the endpoint search slope specifically includes:

If there are multiple consecutive blood-coagulation characteristic sampling data with the same end point search slope and a positive slope, and the number reaches a preset first number threshold, the time period corresponding to the blood-coagulation characteristic sampling data with the same end-point search slope is regarded as the continuous same slope Time period, or

If there are multiple consecutive blood coagulation characteristic sampling data with an end point search slope of zero, and the number reaches a preset second number threshold, the time period corresponding to the blood coagulation characteristic sampling data with an end point search slope of zero is taken as the continuous same slope time period ;

Specifically, if there are consecutive points with the same end point search slope and a positive slope, and the number reaches the first number threshold, for example: 50, then the parameters are recorded, and continuous point search with the same end point is stopped. If the number of points is less than the threshold of the first number, return to check whether the search slope of the end point of the previous point has a small fluctuation. If there is any, you can ignore the fluctuation and count, and stop the search when the threshold is reached; if not, clear the count and continue searching forward.

The second number threshold is used to search for consecutive blood samples with blood coagulation characteristics with a zero slope. Since the blood sample with blood coagulation characteristics with a zero end point search slope can better reflect the end of coagulation, the second number threshold can be less than The first number threshold, preferably, the first number threshold is 50, and the second number threshold is 15.

For the case of continuous slope, as shown in Figures 4b and 4c, the coagulation end time can be obtained by referring to the recorded parameters, the corresponding threshold value and the step size. For example, the coagulation end time parameter = (recorded parameter-threshold value + step size), and the coagulation end time is the time corresponding to the parameter, that is, the start time of the continuous same slope time period.

For the case of negative slope, the end time of coagulation is the time corresponding to the recording parameter, that is, the time when the negative slope point appears.

In one embodiment, the selecting a start time of the continuous same slope time period or a start time of the negative slope time period as the clotting end time specifically includes:

In this embodiment, the negative slope and the same slope are judged separately to select an appropriate clotting end time. Because the end point search slope has negative blood coagulation characteristics, the sampling data can better reflect the end of coagulation. Therefore, as shown in FIG. 4d, when the negative slope point appears, the parameters appearing are recorded.

FIG. 5 is a working flowchart of a method for determining a coagulation time according to a preferred embodiment of the present invention, including:

Step S501, reading a txt file including sampling data of blood coagulation characteristics, and setting parameters;

In step S502, it is checked whether the file is a new file. If so, step S503 is performed; otherwise, the file is numbered, the time is reset, and step S503 is performed;

Step S503, using a polynomial fitting function to fit the curve, try polynomial fitting with different numbers of terms, find the number of fitting terms with the largest fitting error, and then use this number of terms to calculate the end search step size;

In step S504, the slope of the blood coagulation characteristic sampling data after calculating the blood coagulation characteristic sampling data to two points is used as the starting point search slope, and the point with the largest starting point search slope is the coagulation starting point.

Step S505, setting parameters, clearing variables to prepare for the next step;

Step S506, adjusting the search start index of the clotting end time by 150 to avoid peak interference;

Step S507, starting at the search index index position at the coagulation end time, calculating the slope of each blood coagulation characteristic sampling data to the blood coagulation characteristic sampling data after a distance from the end search step as the end search slope;

In step S508, if the continuous end point search has the same blood clotting characteristic sampling data and the number reaches 50, then the sampling time of the last end point search blood clotting characteristic sampling data with the same slope is recorded as the continuous slope time, and continuous continuous point search of the same slope is stopped. .

In step S509, if there are consecutive blood coagulation characteristic sampling data with the same end point search slope, but the number is between 5-50, return to check whether there is a small fluctuation in the end point search slope of the previous blood coagulation characteristic sampling data, and if there is, you can ignore the fluctuation. Counting. When the threshold is reached, the last endpoint is recorded. The sampling time of the blood coagulation characteristic sampling data with the same search slope is the end time of the continuous slope. Stop the search. If not, clear the count and continue searching forward.

In step S510, if there is blood coagulation characteristic sampling data with a continuous endpoint search slope of zero and the number reaches 15, the sampling time of the last blood coagulation characteristic sampling data with a zero endpoint search slope of zero is recorded as the continuous slope end time, and the search is stopped. ;

Step S511, if blood coagulation characteristic sampling data with a negative end search slope appears, record the sampling time of the first blood coagulation characteristic sampling data with a negative end search slope appearing as a negative slope time;

Step S512, obtaining the coagulation time of each channel based on the start time and the negative slope time of the continuous slope;

In step S513, the coagulation time value is determined and the data is checked for errors. For example, the optimal clotting time determined by the above data analysis and screening is estimated to be within the range allowed by experience, then this clotting time will be displayed to the user. However, if the optimal coagulation time estimated through the above data analysis and screening is within the range of abnormal empirical allowable values, the system displays that the estimation fails to the user.

As shown in FIG. 6, a working flowchart of coagulation time based on a continuous slope time and a negative slope time according to a preferred embodiment of the present invention includes:

Step S601: Calculate the negative slope time-coagulation start time. If it is within (100, 300), use the negative slope time as the coagulation end time, and perform step S604, otherwise, perform step S602, where 100 and 300 are the number of data points. , Its applicable data is collected at three points per second, and converted into time of 33 seconds and 100 seconds;

Step S602: Calculate the continuous slope start time-the coagulation start time. If it is within (100, 300), use the continuous slope time as the coagulation end time, and perform step S604; otherwise, perform step S603;

Step S603, calculating the continuous slope time-negative slope time, if it is less than or equal to 0, use the negative slope time as the clotting end time, and execute step S604; otherwise, use the continuous slope time as the clotting end time, and execute step S604;

In step S604, the coagulation time is displayed as the coagulation end time-the coagulation start time.

FIG. 7 is a schematic diagram of a hardware structure of an electronic device 1 according to the present invention, including:

At least one processor 701; and

A memory 702 communicatively connected to the at least one processor 701;

The memory 702 stores instructions executable by the one processor, and the instructions are executed by the at least one processor, so that the at least one processor can:

A processor 702 is taken as an example in FIG. 7.

The electronic device may further include an input device 703 and an output device 704.

The processor 701, the memory 702, the input device 703, and the display device 704 may be connected through a bus or other methods. In the figure, connection through a bus is taken as an example.

The processor 701 may be a general-purpose processor (CPU), a dedicated digital signal processing chip (DSP), or an FPGA.

The memory 702 is a non-volatile computer-readable storage medium, and can be used to store non-volatile software programs, non-volatile computer executable programs, and modules, such as programs corresponding to the coagulation time determination method in the embodiment of the present application. The instruction / module is, for example, the method flow shown in FIG. 1, FIG. 5, and FIG. 6. The processor 701 executes various functional applications and data processing by running the non-volatile software programs, instructions, and modules stored in the memory 702, that is, the coagulation time determination method in the above embodiment is implemented.

The memory 702 may include a storage program area and a storage data area, where the storage program area may store an operating system and an application program required for at least one function; the storage data area may store data created according to the use of the coagulation time determination method, such as a system Intermediate results of the operation and final coagulation data. In addition, the memory 702 may include a high-speed random access memory, and may further include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 702 may optionally include a memory that is remotely set relative to the processor 701, and these remote memories may be connected to a device that performs a coagulation time determination method through a network. Examples of the above network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

The input device 703 can receive input user clicks, and generate signal inputs related to user settings and function control of the coagulation time determination method. The display device 704 may include a display device such as a display screen.

The one or more modules are stored in the memory 702, and when executed by the one or more processors 701, the coagulation time determination method in any of the method embodiments described above is executed.

In one embodiment, the starting search step size is a preset value.

In one embodiment, the selection rule includes:

As a preferred embodiment of the present invention, FIG. 8 shows a schematic architecture of a system for collecting and processing coagulation data from a real-time blood collection device.

The system includes an electronic device 1 as shown in FIG. 7 and a real-time blood data characteristic analysis recorder 2 that can record coagulation process data. This analysis recorder can also be an offline data recording instrument, and the system is powered by a mobile or fixed power source 6.

The system shown in FIG. 8 can implement a real-time parallel historical data analysis module 3, which is used to improve the performance of real-time coagulation estimation of a specific sample. The parallel historical data analysis module can be the historical data of the same patient, or it can be based on the historical data of a large sample of the same patient group.

The system shown in FIG. 8 can implement a wireless Internet of Things communication module 4 to perform local local area network communication with other similar devices to implement large-scale coagulation estimation analysis of big data. The data transmitted by this wireless IoT communication module can be input to the real-time parallel historical data analysis module for its comprehensive analysis. The wireless IoT communication module can also access the meta-computing or cloud storage platform of the wide area network, and perform background analysis from these cloud resources.

The system shown in FIG. 8 can be implemented to connect a printing device 5 to print real-time intermediate data and any coagulation data. The same design can use a display to show real-time intermediate data and any coagulation data.

The above-mentioned embodiments only express several implementation manners of the present invention, and their descriptions are more specific and detailed, but they cannot be understood as limiting the scope of the patent of the present invention. It should be noted that, for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can be made, which all belong to the protection scope of the present invention. Therefore, the protection scope of the invention patent shall be subject to the appended claims.

Claims

A method for determining a coagulation time, comprising:

Obtain multiple blood coagulation characteristics sampling data sampled over time in a coagulation test;

Determining the coagulation start time and the coagulation end time based on the blood coagulation characteristic sampling data;

The coagulation time is determined based on the coagulation start time and the coagulation end time.
The method for determining a coagulation time according to claim 1, wherein the determining the coagulation start time and the coagulation end time based on the blood coagulation characteristic sampling data specifically comprises: based on a search step for each of the blood coagulation characteristics Sampling data to calculate the corresponding slope;

The coagulation start time and the coagulation end time are determined based on the slope.
The method for determining a coagulation time according to claim 2, wherein the search step size includes a start point search step size and an end point search step size;

The step of calculating a corresponding slope for each of the blood coagulation characteristic sampling data based on the search step specifically includes:

Calculating a corresponding starting point search slope for each of the blood coagulation characteristic sampling data based on the starting point search step size, and calculating a corresponding ending point search slope for each of the blood coagulation characteristic sampling data based on the starting point search step size;

The determination of the coagulation start time and the coagulation end time based on the slope specifically includes:

The coagulation start time is determined based on the starting point search slope, and the coagulation end time is determined based on the end point search slope.
The method for determining a coagulation time according to claim 3, wherein the step length of the end point search is determined in the following manner:

Performing a plurality of polynomial curve fittings on the blood coagulation characteristic sampling data by using a plurality of fitting terms to obtain a plurality of fitting curves with the fitting terms as parameters;

According to the type of coagulation test, a fitting curve that conforms to a preset selection rule is selected from a plurality of the fitting curves as a reference fitting curve, and the number of fitting terms of the reference fitting curve is used as the number of reference fitting terms ;

Calculate the end search step size according to the number of reference fitting terms.
The method for determining a coagulation time according to claim 4, wherein the selection rule comprises:

If the type of coagulation test is an activated partial thromboplastin time test or an activated coagulation time test, a fitting curve with the largest fitting error is selected as a reference fitting curve;

If the type of the blood coagulation test is a thrombin time test or a prothrombin time test, a fitting curve with the smallest fitting error is selected as a reference fitting curve.
The method for determining a coagulation time according to claim 3, wherein the determining the coagulation start time based on the starting point search slope specifically comprises:

The sampling time corresponding to the blood coagulation characteristic sampling data with the largest search slope at the starting point is selected as the coagulation start time.
The method for determining a coagulation time according to claim 3, wherein the determining the coagulation end time based on the endpoint search slope specifically comprises:

After presetting a peak interference time period after the coagulation start time, determining a continuous same slope time period or a negative slope time period based on the endpoint search slope;

The start time of the continuous same slope time period or the start time of the negative slope time period is selected as the clotting end time.
The method for determining a coagulation time according to claim 7, wherein determining the continuous same slope time period based on the endpoint search slope specifically comprises:

If there are multiple consecutive blood-coagulation characteristic sampling data with the same end point search slope and a positive slope, and the number reaches a preset first number threshold, the sampling time period corresponding to the blood-coagulation characteristic sampling data with the same end-point search slope is regarded as continuous and the same Slope time period, or

If there are multiple consecutive blood coagulation characteristic sampling data with the end point search slope of zero, and the number reaches a preset second number threshold, the sampling time period corresponding to the blood coagulation characteristic sampling data with the end point search slope of zero is taken as the continuous same slope time segment;

Wherein, the endpoint search slopes are consistent, and specifically, the difference between the endpoint search slopes is within a preset difference threshold range.
The method for determining a coagulation time according to claim 7, characterized in that said selecting a start time of said continuous same slope time period or a start time of said negative slope time period as said coagulation end time, specifically include:

Calculate a first difference between the start time of the negative slope time period and the coagulation start time, and if the first difference is within a preset first time range, select the start time of the negative slope time period As the clotting end time, otherwise;

Calculate a second difference between the start time of the continuous same slope time period and the coagulation start time, if the second difference is outside a preset second time range, and the If the start time is less than the start time of the negative slope time period, the start time of the negative slope time period is selected as the clotting end time. If the second difference value is outside a preset second time range, and The start time of the continuous same slope time period is greater than the start time of the negative slope time period, then the start time of the continuous same slope time period is selected as the clotting end time, otherwise;

If the second difference value is within a preset second time range, a start time of a continuous same slope time period is selected as the clotting end time.
An electronic device, comprising:

At least one processor; and

A memory connected in communication with the at least one processor; wherein,

The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to:

Obtain multiple blood coagulation characteristics sampling data sampled over time in a coagulation test;

Determining the coagulation start time and the coagulation end time based on the blood coagulation characteristic sampling data;

The coagulation time is determined based on the coagulation start time and the coagulation end time.
The electronic device according to claim 10, wherein the determining the coagulation start time and the coagulation end time based on the blood coagulation characteristic sampling data specifically comprises: sampling data for each of the blood coagulation characteristics based on a search step. Calculate the corresponding slope;

The coagulation start time and the coagulation end time are determined based on the slope.
The electronic device according to claim 10, wherein the search step size includes a start search step size and an end search step size;

The step of calculating a corresponding slope for each of the blood coagulation characteristic sampling data based on the search step includes:

Calculating a corresponding starting point search slope for each of the blood coagulation characteristic sampling data based on the starting point search step size, and calculating a corresponding ending point search slope for each of the blood coagulation characteristic sampling data based on the starting point search step size;

The determination of the coagulation start time and the coagulation end time based on the slope specifically includes:

The coagulation start time is determined based on the starting point search slope, and the coagulation end time is determined based on the end point search slope.
The electronic device according to claim 12, wherein the end search step size is determined in the following manner:

Performing a plurality of polynomial curve fittings on the blood coagulation characteristic sampling data by using a plurality of fitting terms to obtain a plurality of fitting curves with the fitting terms as parameters;

According to the type of coagulation test, a fitting curve that conforms to a preset selection rule is selected from a plurality of the fitting curves as a reference fitting curve, and the number of fitting terms of the reference fitting curve is used as the number of reference fitting terms ;

Calculate the end search step size according to the number of reference fitting terms.
The electronic device according to claim 13, wherein the selection rule comprises:

If the type of coagulation test is an activated partial thromboplastin time test or an activated coagulation time test, a fitting curve with the largest fitting error is selected as a reference fitting curve;

If the type of the blood coagulation test is a thrombin time test or a prothrombin time test, a fitting curve with the smallest fitting error is selected as a reference fitting curve.
The electronic device according to claim 12, wherein the determining the blood coagulation start time based on the starting point search slope specifically comprises:

The sampling time corresponding to the blood coagulation characteristic sampling data with the largest search slope at the starting point is selected as the coagulation start time.
The electronic device according to claim 12, wherein the determining the coagulation end time based on the endpoint search slope specifically comprises:

After presetting a peak interference time period after the coagulation start time, determining a continuous same slope time period or a negative slope time period based on the endpoint search slope;

The start time of the continuous same slope time period or the start time of the negative slope time period is selected as the clotting end time.
The electronic device according to claim 16, wherein the determining the continuous same slope time period based on the endpoint search slope specifically comprises:

If there are multiple consecutive blood-coagulation characteristic sampling data with the same end point search slope and a positive slope, and the number reaches a preset first number threshold, the sampling time period corresponding to the blood-coagulation characteristic sampling data with the same end-point search slope is regarded as continuous and the same Slope time period, or

If there are multiple consecutive blood coagulation characteristic sampling data with the end point search slope of zero, and the number reaches a preset second number threshold, the sampling time period corresponding to the blood coagulation characteristic sampling data with the end point search slope of zero is taken as the continuous same slope time segment;

Wherein, the endpoint search slopes are consistent, and specifically, the difference between the endpoint search slopes is within a preset difference threshold range.
The electronic device according to claim 16, wherein the selecting a start time of the continuous same slope time period or a start time of the negative slope time period as the clotting end time specifically comprises:

Calculate a first difference between the start time of the negative slope time period and the coagulation start time, and if the first difference is within a preset first time range, select the start time of the negative slope time period As the clotting end time, otherwise;

Calculate a second difference between the start time of the continuous same slope time period and the coagulation start time, if the second difference is outside a preset second time range, and the If the start time is less than the start time of the negative slope time period, the start time of the negative slope time period is selected as the clotting end time. If the second difference value is outside a preset second time range, and The start time of the continuous same slope time period is greater than the start time of the negative slope time period, then the start time of the continuous same slope time period is selected as the clotting end time, otherwise;

If the second difference value is within a preset second time range, a start time of a continuous same slope time period is selected as the clotting end time.
A storage medium, wherein the storage medium stores computer instructions, and when the computer executes the computer instructions, the storage medium is configured to execute all steps of the coagulation time determination method according to any one of claims 1 to 9.