Method, device, equipment and product for establishing double-circulation pulse wave simulation model

Abstract

The invention provides a method, a device, equipment and a product for establishing a double-circulation pulse wave simulation model. The method comprises the following steps: acquiring an autonomous circulation pulse wave signal and a pressing single-circulation pulse wave signal; based on the self-circulation pulse wave signal and the pressing single-circulation pulse wave signal, a double-circulation pulse wave simulation signal is established, and the double-circulation pulse wave simulation signal is obtained by subtracting the sum of the self-circulation pulse wave signal and the pressing single-circulation pulse wave signal from the product of the self-circulation pulse wave signal and the pressing single-circulation pulse wave signal. According to the method, the device, the equipment and the product for establishing the double-circulation pulse wave simulation model, the double-circulation pulse wave simulation model can be established on the basis of the self-circulation pulse wave signal and the pressing single-circulation pulse wave signal, and the method, the device, the equipment and the product have the advantages of being high in simulation quality, convenient to operate and wide in application range.

Description

Technical Field

[0001] The invention belongs to the field of pulse wave simulation, and in particular relates to a method, device, equipment and product for establishing a double-circulation pulse wave simulation model. Background Art

[0002] Each stage of cardiopulmonary resuscitation pulse signal generally includes a spontaneous circulation pulse wave signal and a compression single-cycle pulse signal. It is difficult to directly obtain the pulse signal of each stage of cardiopulmonary resuscitation. Therefore, it is necessary to establish a mathematical model to simulate the dual-circulation pulse signal. The dual-circulation pulse wave signal composed of the spontaneous circulation pulse wave signal and the compression single-circulation pulse signal provides a basis for the subsequent research on the dual-circulation pulse signal. Under the existing technical conditions, there is a lack of a method that can quickly and high-quality realize dual-circulation pulse wave simulation. Summary of the invention

[0003] In view of this, the present invention aims to overcome the defects in the prior art and proposes a method, device, equipment and product for establishing a dual-circulation pulse wave simulation model.

[0004] To achieve the above object, the technical solution of the present invention is achieved as follows:

[0005] In a first aspect, the present invention discloses a method for establishing a dual-circulation pulse wave simulation model, which obtains a spontaneous circulation pulse wave signal and a compression single-circulation pulse wave signal;

[0006] Based on the spontaneous circulation pulse wave signal and the compression single-cycle pulse wave signal, a dual-cycle pulse wave simulation signal is established, wherein the dual-cycle pulse wave simulation signal is the sum of the spontaneous circulation pulse wave signal and the compression single-cycle pulse wave signal, minus the product of the spontaneous circulation pulse wave signal and the compression single-cycle pulse wave signal.

[0007] In one possible implementation, the dual-cycle pulse wave simulation signal is the sum of the spontaneous circulation pulse wave signal and the compression single-cycle pulse wave signal, and the product of the spontaneous circulation pulse wave signal and the compression single-cycle pulse wave signal is subtracted, including: the spontaneous circulation pulse wave signal is set with a first amplitude control parameter, and the compression single-cycle pulse wave signal is set with a second amplitude control parameter.

[0008] In a possible implementation, a goodness of fit value between the amplitude of the dual-circulation pulse wave simulation signal and the corresponding actual value is calculated, and based on the goodness of fit value, the quality of establishing the dual-circulation pulse wave simulation signal is judged.

[0009] In one possible implementation, calculating the goodness of fit value between the amplitude of a dual-cycle pulse wave simulation signal and the corresponding actual value includes: the goodness of fit value is 1 minus a first ratio; the first ratio is the ratio of a residual sum of squares value to a total sum of squares value, wherein the residual sum of squares value is used to characterize the sum of squares of the difference between the actual value and the amplitude of the corresponding dual-cycle pulse wave simulation signal; and the total sum of squares value is used to characterize the sum of squares of the difference between the actual value and the actual average value.

[0010] In a possible implementation, the spontaneous circulation pulse wave signal is a time domain signal.

[0011] In a possible implementation, the compression single-cycle pulse wave signal is a time domain signal.

[0012] In a possible implementation, judging the establishment quality of the dual-cycle pulse wave simulation signal based on the goodness of fit value includes: the closer the goodness of fit value is to 1, the better the establishment quality of the dual-cycle pulse wave simulation signal.

[0013] In a second aspect, the present invention discloses a device for establishing a dual-circulation pulse wave simulation model, the device comprising:

[0014] An acquisition module, used for acquiring spontaneous circulation pulse wave signals and compression single cycle pulse wave signals;

[0015] The simulation model establishment module is used to establish a dual-circulation pulse wave simulation signal based on the spontaneous circulation pulse wave signal and the compression single-circulation pulse wave signal, wherein the dual-circulation pulse wave simulation signal is the sum of the spontaneous circulation pulse wave signal and the compression single-circulation pulse wave signal, minus the product of the spontaneous circulation pulse wave signal and the compression single-circulation pulse wave signal.

[0016] In a third aspect, the present invention discloses an electronic device, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors execute the method for establishing the dual-cycle pulse wave simulation model.

[0017] In a fourth aspect, a computer program product includes a computer program, which, when executed by a processor, implements the method for establishing the dual-cycle pulse wave simulation model.

[0018] Compared with the prior art, the present invention has the following advantages:

[0019] The present invention discloses a method, device, equipment and product for establishing a dual-circulation pulse wave simulation model, which can establish a dual-circulation pulse wave simulation model based on a spontaneous circulation pulse wave signal and a compression single-circulation pulse wave signal, and has the characteristics of high simulation quality, convenient operation and wide application range. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0021] In the attached picture:

[0022] Figure 1 A schematic diagram of the principle of a method for establishing a dual-circulation pulse wave simulation model according to an embodiment of the present invention;

[0023] Figure 2 A schematic diagram of a device for establishing a dual-cycle pulse wave simulation model according to an embodiment of the present invention;

[0024] Figure 3 A schematic diagram of an electronic device for establishing a dual-cycle pulse wave simulation model according to an embodiment of the present invention. DETAILED DESCRIPTION

[0025] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0026] In the description of the present invention, it should be further explained that the terms "first", "second", etc. are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", etc. may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "plurality" means two or more.

[0027] Each stage of cardiopulmonary resuscitation pulse signal generally includes a spontaneous circulation pulse wave signal and a compression single-cycle pulse signal. It is difficult to directly obtain the pulse signals of each stage of cardiopulmonary resuscitation. Therefore, it is necessary to establish a mathematical model to simulate the dual-circulation pulse signal. Under the existing technical conditions, there is a lack of a method that can quickly and high-quality realize dual-circulation pulse wave simulation.

[0028] The technical solution disclosed in the present invention establishes a high-quality dual-circulation pulse wave simulation model through a spontaneous circulation pulse wave signal and a compression single-circulation pulse wave signal.

[0029] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0030] In one embodiment, Figure 1 As shown, the present invention discloses a method for establishing a dual-cycle pulse wave simulation model, which obtains a spontaneous circulation pulse wave signal 101 and a compression single-cycle pulse wave signal 102;

[0031] Based on the spontaneous circulation pulse wave signal 101 and the compression single-cycle pulse wave signal 102, a dual-cycle pulse wave simulation signal 103 is established, wherein the dual-cycle pulse wave simulation signal 103 is the sum of the spontaneous circulation pulse wave signal 101 and the compression single-cycle pulse wave signal 102, minus the product of the spontaneous circulation pulse wave signal 101 and the compression single-cycle pulse wave signal 102.

[0032] In this embodiment, the dual-cycle pulse wave simulation signal 103 is represented by Sim Sig , the spontaneous circulation pulse wave signal 101 is represented as ROSC, the compression single cycle pulse wave signal 102 is represented as CPR, and the established dual cycle pulse wave simulation signal 103 model is as follows:

[0033] Sim Sig =ROSC+CPR-CPR*ROSC

[0034] The derivation process of the dual-cycle pulse wave simulation signal 103 is as follows:

[0035] Due to the propagation characteristics of light in biological tissues, the intensity of light incident on the tissue will attenuate after absorption, scattering, etc., and will be reflected or transmitted to form outgoing light. According to the Lambert-Beer law, a photosensitive sensor is used to collect the reflected or transmitted light signal and convert it into an electrical signal to obtain a photoelectric volumetric pulse wave signal used to characterize the pulse wave.

[0036] The derivation process of the dual-cycle pulse wave simulation signal 103 is to establish a corresponding dual-cycle pulse wave simulation model from a light intensity mathematical model based on the Lambert-Beer law.

[0037] The dual-circulation pulse wave simulation signal 103 studies the changes in the incident light absorption layer of biological tissues under the dual-circulation state, derives the relationship model between the incident light intensity and the outgoing light intensity based on the Lambert-Beer law, establishes the mathematical relationship between the spontaneous circulation pulse wave signal 101, the compression single-circulation pulse wave signal 102 and the dual-circulation pulse wave simulation signal 103, and realizes the simulation of the dual-circulation pulse wave signal. The specific establishment process is as follows:

[0038] According to Lambert-Beer's law:

[0039] I=I0e -KcL (1)

[0040] Among them, I0 is the incident light intensity, I is the outgoing light intensity; K is the molar absorption coefficient, which is the characteristic of the solute itself and does not change with blood circulation; c is the molar concentration of the solute in the solution, which also remains constant and the concentration does not change; L is the independent variable, representing the thickness of the absorption layer, which changes with changes in blood circulation.

[0041] In this embodiment, the thickness of the muscle, bone and vein light absorption layer is expressed as Ldc The thickness increase caused by the spontaneous circulation pulse wave signal 101 is expressed as ΔL1, and the thickness increase caused by the compression single cycle pulse wave signal 102 is expressed as increase ΔL2.

[0042] When there is no ΔL1, ΔL2, only L dc When there is no spontaneous circulation pulse wave signal 101 and compression single cycle pulse wave signal 102:

[0043]

[0044] Among them, I0 is the incident light intensity, K is the molar absorption coefficient, which is a fixed value; c is the molar concentration, which is also a fixed value, I DC is the outgoing light intensity.

[0045] When there is no ΔL2, only L dc , when ΔL1, that is, when there is no compression of the single-cycle pulse wave signal 102:

[0046]

[0047] Among them, I DC Is only L in (1) dc The intensity of the emitted light at that time; K is the molar absorption coefficient, which is a fixed value; c is the molar concentration, which is also a fixed value; I AC1 is the absorption light intensity value corresponding to the thickness increase ΔL1 caused by the spontaneous circulation pulse wave signal 101; I ROSC is the outgoing light intensity.

[0048] When there are ΔL1, ΔL2 and L dc , that is, when both the spontaneous circulation pulse wave signal 101 and the compression single-cycle pulse wave signal 102 exist:

[0049]

[0050] Among them, I DC Is only L in (1) dc The emitted light intensity at this time, K is the molar absorption coefficient, which is a fixed value; c is the molar concentration, which is also a fixed value; I AC1 is the absorption light intensity value corresponding to the thickness increase ΔL1 caused by the spontaneous circulation pulse wave signal 101; I AC2 is the absorption light intensity value corresponding to the thickness increase ΔL2 caused by pressing the single-cycle pulse wave signal 102; I ROSC+CC is the outgoing light intensity.

[0051] Further, I ROSC+CC with I ROSC Compared to the following:

[0052]

[0053] Further, take the logarithm of both sides:

[0054]

[0055] Usually I AC1 with I AC2 The amplitude is generally I DC 1% to 2%, that is, the ratio is much less than 1, Taylor expansion can be obtained:

[0056]

[0057] Further we can get:

[0058] I AC2 =KcΔL2*(I DC -I AC1 ) (8)

[0059] Substituting formula (8) into formula (4) yields:

[0060] I DC -I AC1 -I AC2 =I DC -I AC1 -KcΔL2*(I DC -I AC1 ) (9)

[0061] Further we can get:

[0062]

[0063] Further we can get:

[0064] I ROSC+CC =I ROSC -KcΔL2*I ROSC (11)

[0065] From formula (11), we can see that the molar absorption coefficient K and the solute concentration c are both controlled variables. The output light intensity I under double circulation is ROSC+CC With ΔL2 and I ROSC ΔL2 is related to the chest compression signal 101, and ΔL2 is caused by the compression of the single-cycle pulse wave signal 102. In actual situations, due to the differentiated characteristics between biological tissues, the actual change of ΔL2 cannot be measured, but ΔL2 reflects the chest compression state, that is, the influence of the compression of the single-cycle pulse wave signal 102 on the tissue light absorption. Therefore, the calculation model of the dual-cycle pulse wave simulation signal 103 can be empirically obtained by the light intensity mathematical model (11) when the spontaneous circulation pulse wave signal 101 and the compression of the single-cycle pulse wave signal 102 are obtained:

[0066] Sim Sig=ROSC-CPR*ROSC (12)

[0067] The dual-cycle pulse wave simulation signal 103 is represented by Sim Sig , spontaneous circulation pulse wave signal 101 is represented as ROSC, and compression single cycle pulse wave signal 102 is represented as CPR;

[0068] Furthermore, compared with the simulation signal Sim Sig Verify the difference between the simulated signal and the actual signal Sig , further adding the compression single cycle pulse wave signal 102, the double cycle pulse wave simulation signal 103 model is modified as follows:

[0069] Sim Sig =ROSC CPR-CPR*ROSC

[0070] The dual-cycle pulse wave simulation signal 103 is represented by Sim Sig The spontaneous circulation pulse wave signal 101 is represented as ROSC, and the compression single cycle pulse wave signal 102 is represented as CPR.

[0071] In another embodiment, as shown in the figure, the dual-cycle pulse wave simulation signal 103 is the sum of the spontaneous circulation pulse wave signal 101 and the compression single-cycle pulse wave signal 102, and the product of the spontaneous circulation pulse wave signal 101 and the compression single-cycle pulse wave signal 102 is subtracted, including: the spontaneous circulation pulse wave signal 101 is set with a first amplitude control parameter, and the compression single-cycle pulse wave signal 102 is set with a second amplitude control parameter.

[0072] In this embodiment, the dual-cycle pulse wave simulation signal 103 is represented by Sim sig , the spontaneous circulation pulse wave signal 101 is represented as ROSC, the compression single cycle pulse wave signal 102 is represented as CPR, the first amplitude control parameter is represented as a1, the second amplitude control parameter is represented as a2, and the established dual cycle pulse wave simulation signal 103 model with control parameters is further updated as follows:

[0073] Sim Sig =a1ROSC a2CPR-a2CPR*a1ROSC

[0074] In the process of establishing the dual-circulation pulse wave simulation signal 103, the amplitude of the original signal is also an important consideration. Its amplitude determines the dynamic range of the dual-circulation pulse wave simulation signal 103 and affects the accuracy and credibility of the dual-circulation pulse wave simulation signal 103. The CPR signal amplitude is often larger than the just-recovered ROSC signal amplitude. As the compression time goes by, the ROSC signal may gradually increase and then reach the standard for stopping CPR. Adding the first amplitude control parameter a1 and the second amplitude control parameter a2 improves the adaptability of the dual-circulation pulse wave simulation signal 103 to signals of different amplitudes.

[0075] In another embodiment, the goodness of fit value between the amplitude of the dual-cycle pulse wave simulation signal 103 and the corresponding actual value is calculated, and the establishment quality of the dual-cycle pulse wave simulation signal 103 is judged based on the goodness of fit value.

[0076] Calculating the goodness of fit value between the amplitude of the dual-cycle pulse wave simulation signal 103 and the corresponding actual value includes: the goodness of fit value is 1 minus the first ratio; the first ratio is the ratio of the residual sum of squares value to the total sum of squares value, wherein the residual sum of squares value is used to characterize the sum of squares of the difference between the actual value and the amplitude of the corresponding dual-cycle pulse wave simulation signal 103; the total sum of squares value is used to characterize the sum of squares of the difference between the actual value and the actual average value.

[0077] In this embodiment, if Figure 1 As shown, based on the goodness of fit value, judging the establishment quality of the dual-cycle pulse wave simulation signal 103 includes: the closer the goodness of fit value is to 1, the better the establishment quality of the dual-cycle pulse wave simulation signal 103 is.

[0078] In this embodiment, the goodness of fit value is expressed as R 2 , R 2 The value range is 0 to 1. The closer to 1, the higher the quality of establishing the dual-cycle pulse wave simulation signal 103. The residual sum of squares is represented by SSR, and the total sum of squares is represented by SST. The specific calculation process is as follows:

[0079]

[0080] n is the amount of data, y i is the ith actual value, For all actual values ​​y i The actual average value.

[0081]

[0082] n is the amount of data, y i is the ith actual value, fx i ) means Sim Sig Zhong and y iThe corresponding amplitude, at this time fx i ) corresponds to the independent variable x i .

[0083] In this embodiment, the spontaneous circulation pulse wave signal 101 is a time domain signal.

[0084] In this embodiment, the compression single-cycle pulse wave signal 102 is a time domain signal.

[0085] Calculate the goodness of fit value R between the dual-cycle pulse wave simulation signal 103 of the present invention and a set of experimental data 2 , R 2 Reaching 0.8 indicates that the dual-cycle pulse wave simulation signal 103 disclosed in the present invention can simulate the dual-cycle pulse wave with high quality.

[0086] In another embodiment, Figures 1 to 2 As shown, the present invention discloses a device for establishing a dual-cycle pulse wave simulation model, the device comprising:

[0087] An acquisition module 201, used for acquiring a spontaneous circulation pulse wave signal 101 and a compression single cycle pulse wave signal 102;

[0088] The simulation model establishment module 202 is used to establish a dual-cycle pulse wave simulation signal 103 based on the spontaneous circulation pulse wave signal 101 and the compression single-cycle pulse wave signal 102, wherein the dual-cycle pulse wave simulation signal 103 is the sum of the spontaneous circulation pulse wave signal 101 and the compression single-cycle pulse wave signal 102, minus the product of the spontaneous circulation pulse wave signal 101 and the compression single-cycle pulse wave signal 102.

[0089] The present invention also discloses an electronic device, such as Figure 3 As shown, an embodiment is disclosed, which is a block diagram of an electronic device 30 suitable for the method for establishing the dual-cycle pulse wave simulation model.

[0090] The electronic device 30 of this embodiment includes a processor 301, which can perform various appropriate actions and processes according to the program stored in the ROM 302 or the program loaded from the storage part 308 into the RAM 303. The processor 301 may include, for example, a general-purpose microprocessor, an instruction set processor and / or a related chipset and / or a dedicated microprocessor, etc. The processor 301 may also include an onboard memory for caching purposes. The processor 301 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present invention.

[0091] In RAM303, various programs and data required for the operation of the electronic device 30 are stored. The processor 301, ROM302 and RAM303 are connected to each other through a bus 304, and the processor 301 executes various operations of the method flow according to the embodiment of the present invention by executing the program in ROM302 and / or RAM303. It should be noted that the program can also be stored in one or more memories other than ROM302 and RAM303, and the processor 301 can also execute various operations of the method flow according to the embodiment of the present invention by executing the program stored in one or more memories.

[0092] According to an embodiment of the present invention, the electronic device 30 may further include an I / O interface 305, which is also connected to the bus 304. The electronic device 30 may further include one or more of the following components connected to the I / O interface 305: an input portion 306 including a keyboard, a mouse, etc.; an output portion 307 including a cathode ray tube, a liquid crystal display, and a speaker; a storage portion 308 including a hard disk, etc.; and a communication portion 309 including a network interface card such as a LAN card, a modem, etc. The communication portion 309 performs communication processing via a network such as the Internet. A drive 3010 is also connected to the I / O interface 305 as needed. A removable medium 3011, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 3010 as needed, so that a computer program read therefrom is installed into the storage portion 308 as needed.

[0093] Embodiments of the present invention also include a computer program product.

[0094] The computer program product includes a computer program, which contains program codes for executing the method provided by the embodiment of the present invention. When the computer program product runs on an electronic device, the program codes are used to enable the electronic device to implement the method provided by the embodiment of the present invention.

[0095] In one embodiment, the computer program may rely on a tangible storage medium such as an optical storage device or a magnetic storage device. In another embodiment, the computer program may also be transmitted and distributed in the form of a signal on a network medium. The program code included in the computer program may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0096] According to an embodiment of the present invention, the program code for executing the computer program provided by the embodiment of the present invention can be written by any combination of one or more programming languages, and specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages. Programming languages ​​include but are not limited to programming languages ​​such as Java, C++, python, C language or similar. The program code can be executed completely on the user computing device, partially on the user device, partially on the remote computing device, or completely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network or a wide area network, or can be connected to an external computing device.

[0097] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. In this regard, each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions. It can be understood by those skilled in the art that the features recorded in the various embodiments and / or claims of the present invention can be combined and / or combined in various ways, even if such a combination or combination is not explicitly recorded in the present invention. In particular, without departing from the spirit and teaching of the present invention, the features described in the various embodiments and / or claims of the present invention may be combined and / or combined in a variety of ways. All of these combinations and / or combinations fall within the scope of the present invention.

[0098] The embodiments of the present invention are described above. However, these embodiments are only for the purpose of illustration, and are not intended to limit the scope of the present invention. Although the embodiments are described above, this does not mean that the measures in the various embodiments cannot be used in combination. The scope of the present invention is limited by the attached claims and their equivalents. Without departing from the scope of the present invention, those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present invention.

Claims

1. A method for establishing a dual-circulation pulse wave simulation model, characterized in that: Acquire spontaneous circulation pulse wave signals and compression single cycle pulse wave signals; Based on the spontaneous circulation pulse wave signal and the compression single-cycle pulse wave signal, a dual-cycle pulse wave simulation signal is established, wherein the dual-cycle pulse wave simulation signal is the sum of the spontaneous circulation pulse wave signal and the compression single-cycle pulse wave signal, minus the product of the spontaneous circulation pulse wave signal and the compression single-cycle pulse wave signal.

2. The method for establishing a dual-circulation pulse wave simulation model according to claim 1, characterized in that: The dual-cycle pulse wave simulation signal is the sum of the autonomous circulation pulse wave signal and the compression single-cycle pulse wave signal, and the product of the autonomous circulation pulse wave signal and the compression single-cycle pulse wave signal is subtracted, including: the autonomous circulation pulse wave signal is set with a first amplitude control parameter, and the compression single-cycle pulse wave signal is set with a second amplitude control parameter.

3. The method for establishing a dual-circulation pulse wave simulation model according to claim 1, characterized in that: The method further includes: calculating a goodness of fit value between the amplitude of the dual-circulation pulse wave simulation signal and the corresponding actual value, and judging the establishment quality of the dual-circulation pulse wave simulation signal based on the goodness of fit value.

4. The method for establishing a dual-circulation pulse wave simulation model according to claim 3, characterized in that: The calculation of the goodness of fit value between the amplitude of the dual-cycle pulse wave simulation signal and the corresponding actual value includes: the goodness of fit value is 1 minus a first ratio; the first ratio is the ratio of the residual sum of squares value to the total sum of squares value, wherein the residual sum of squares value is used to characterize the sum of squares of the difference between the actual value and the amplitude of the corresponding dual-cycle pulse wave simulation signal; the total sum of squares value is used to characterize the sum of squares of the difference between the actual value and the actual average value.

5. The method for establishing a dual-cycle pulse wave simulation model according to claim 1, characterized in that: The spontaneous circulation pulse wave signal is a time domain signal.

6. The method for establishing a dual-circulation pulse wave simulation model according to claim 1, characterized in that: The compression single-cycle pulse wave signal is a time domain signal.

7. The method for establishing a dual-circulation pulse wave simulation model according to claim 3, characterized in that: The determining of the establishment quality of the dual-cycle pulse wave simulation signal based on the goodness of fit value includes: the closer the goodness of fit value is to 1, the better the establishment quality of the dual-cycle pulse wave simulation signal is.

8. A device for establishing a dual-cycle pulse wave simulation model, characterized in that: The device comprises: An acquisition module, used for acquiring spontaneous circulation pulse wave signals and compression single cycle pulse wave signals; The simulation model establishment module is used to establish a dual-circulation pulse wave simulation signal based on the spontaneous circulation pulse wave signal and the compression single-circulation pulse wave signal, wherein the dual-circulation pulse wave simulation signal is the sum of the spontaneous circulation pulse wave signal and the compression single-circulation pulse wave signal, minus the product of the spontaneous circulation pulse wave signal and the compression single-circulation pulse wave signal.

9. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors are caused to perform the method according to any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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