Biomechanical response mapping method, apparatus, electronic device, and medium

Abstract

The application relates to the technical field of impact biomechanics and human engineering, in particular to a biomechanics response mapping method and device, an electronic device and a medium. The mapping method comprises the following steps: acquiring first information, wherein the first information comprises source body type biomechanics response channel data, body type parameters of a source body type and body type parameters of a target body type; constructing a regionalized dynamics mapping relationship according to a dynamics dominant mechanism of an impact response; the mapping relationship is used for representing the relationship among the body type parameters of the source body type, the body type parameters of the target body type, the biomechanics response channels of each anatomical region of the source body type and the biomechanics response channels of each anatomical region of the target body type; and determining the biomechanics response channel data of each anatomical region of the target body type according to the regionalized dynamics mapping relationship and the first information. The application can realize the effect that each anatomical part simultaneously meets the physical consistency requirement and the scaling result has high reliability.

Description

Technical Field

[0001] This application relates to the fields of impact biomechanics and ergonomics, and more specifically, to a biomechanical response mapping method, device, electronic device, and medium. Background Technology

[0002] In vehicle collision safety evaluation, impact damage mechanism research, and human body finite element model verification, the biomechanical response channel data such as force-time, acceleration-time, and displacement-time obtained from experiments are an important foundation for establishing damage criteria and evaluating the accuracy of simulation models. Related evaluation systems are widely used in vehicle safety evaluation projects such as Euro NCAP and in crash test specifications developed by organizations such as the National Highway Traffic Safety Administration.

[0003] Because experimental samples vary in weight, height, and anatomical dimensions, while engineering applications typically target specific body types, it is necessary to convert the biomechanical response data of the source body type to the conditions of the target body type. The source body type refers to the individual actually subjected to the crash test or biomechanical evaluation.

[0004] In existing technologies, common methods for handling body size differences mainly include amplitude scaling methods based on weight ratio, time axis scaling methods based on geometric size ratio, and single-parameter scaling transformation methods based on empirical formulas. These methods typically employ a uniform scaling factor to scale all response channels or all anatomical regions holistically, based on the fundamental assumption that the dynamic responses of individuals with different body sizes satisfy a consistent proportional relationship. However, under actual impact conditions, the dynamic response mechanisms of different anatomical regions of the human body differ significantly. Therefore, using a uniform scaling factor makes it difficult to guarantee that the scaling results meet the corresponding physical consistency requirements at each anatomical location, leading to decreased reliability of the scaling results. Summary of the Invention

[0005] The purpose of this application is to provide a biomechanical response mapping method, device, electronic device and medium to solve the problems of existing technologies where it is difficult for various anatomical sites to simultaneously meet the physical consistency requirements and the scaling results are unreliable.

[0006] To achieve the above objectives, this application adopts the following technical solution: Firstly, this application provides a biomechanical response mapping method, including: Obtain first information, which includes: biomechanical response channel data of the source body shape, body shape parameters of the source body shape, and body shape parameters of the target body shape; the body shape parameters include mass parameters, characteristic length parameters, and stiffness parameters; Based on the dominant dynamic mechanism of impact response, a regional dynamic mapping relationship is constructed; the regional dynamic mapping relationship is used to characterize the relationship between the body shape parameters of the source body shape, the body shape parameters of the target body shape, the biomechanical response channels of each anatomical region of the source body shape, and the biomechanical response channels of each anatomical region of the target body shape. Based on the regionalized dynamic mapping relationship and the first information, biomechanical response channel data for each anatomical region of the target body type are determined.

[0007] In some technical solutions, the construction of regionalized dynamic mapping relationships based on the dominant dynamic mechanism of the impact response includes: Based on the dynamic dominant mechanism of the impact response, the biomechanical response channel data of the source body type is divided into anatomical regions so that different anatomical regions correspond to different dynamic dominant mechanisms, thereby determining the biomechanical response channel data of each anatomical region of the source body type. Based on the aforementioned dynamic dominance mechanism, a regionalized dynamic mapping relationship is constructed.

[0008] In some technical solutions, the dominant dynamic mechanism includes at least one of the following: an inertial dominant mechanism, a structural stiffness dominant mechanism, and a time-scale dominant mechanism. The inertial-dominated mechanism corresponds at least to the head region, the structural stiffness-dominated mechanism corresponds at least to the chest region, and the time-scale-dominated mechanism corresponds at least to the abdomen and soft tissue region.

[0009] In some technical solutions, the regionalized dynamic mapping relationship is as follows:

[0010] in, Indicates the target body size in the region Response channel data, Indicates the source body type in the region Response channel data; These are the mass parameters of the source body type. For the target body shape's mass parameters; For the stiffness parameters of the source body, The stiffness parameters of the target body shape; The characteristic length parameter of the source body shape. The characteristic length parameter of the target body shape; For quality parameters in the region The mapping index on, For stiffness parameters in the region The mapping index on, For the feature length parameter in the region The mapping index on; This is the regional time scale adjustment factor.

[0011] In some technical solutions, The value in the first region is greater than the value in the non-first region, and the first region is the region corresponding to the inertial-dominated mechanism; The values ​​in the second region are greater than those in the non-second region, and the first region is the region corresponding to the dominant mechanism of structural stiffness.

[0012] In some technical solutions, after determining the biomechanical response channel data of each anatomical region of the target body type based on the regionalized dynamic mapping relationship and the first information, the method further includes a step of performing a physical consistency verification on the biomechanical response channel data of each anatomical region of the target body type; the physical consistency verification adopts at least one of the following methods: (1) Peak ratio verification: Verify whether the ratio of the peak value of the target body size response to the peak value of the source body size response conforms to the preset mass-kinetic ratio range; (2) Impulse consistency verification: By integrating the force-time curve, verify whether the impulse change between the target body shape and the source body shape satisfies the momentum theorem; (3) Energy integral relationship verification: Verify whether the energy absorption or conversion ratio in the response process conforms to the law of conservation of energy.

[0013] In some technical solutions, after the physical consistency verification, the following steps are also included: If the physical consistency verification result exceeds the preset error range, the process returns to construct a regional dynamic mapping relationship based on the dynamic dominant mechanism of the impact response. During the return execution, the regional dynamic mapping relationship is corrected according to the verification deviation value until the physical consistency verification result is within the preset error range.

[0014] Secondly, this application provides a biomechanical response mapping device, comprising: The first information acquisition module is used to acquire first information, which includes: source body shape biomechanical response channel data, source body shape parameters, and target body shape parameters; the body shape parameters include mass parameters, characteristic length parameters, and stiffness parameters. The regional dynamic mapping relationship construction module is used to construct regional dynamic mapping relationships based on the dynamic dominant mechanism of the impact response; the regional dynamic mapping relationship is used to characterize the relationship between the body shape parameters of the source body shape, the body shape parameters of the target body shape, the biomechanical response channels of each anatomical region of the source body shape, and the biomechanical response channels of each anatomical region of the target body shape. The biomechanical response channel data determination module for each anatomical region of the target body type is used to determine the biomechanical response channel data for each anatomical region of the target body type based on the regionalized dynamic mapping relationship and the first information.

[0015] Thirdly, this application provides an electronic device, comprising: At least one processor, and a memory communicatively connected to at least one of the processors; The memory stores instructions that can be executed by at least one of the processors, which are executed by at least one of the processors to enable at least one of the processors to perform the method described above.

[0016] Fourthly, this application provides a computer-readable storage medium storing computer instructions for causing a computer to perform the above-described method.

[0017] Compared with the prior art, the beneficial effects of this application are as follows: The biomechanical response mapping method provided in this application first obtains the first information related to the response mapping. By comprehensively considering the coupling effects of mass parameters, structural stiffness parameters, and characteristic length parameters, it overcomes the error problem caused by the overall scaling of a single scaling factor in traditional methods. Then, based on the dynamic dominant mechanism of impact response, a regional dynamic mapping relationship is constructed. This regional dynamic mapping relationship expresses the idea of ​​regional division, enabling different anatomical regions to reflect their physical control characteristics during the transformation of body shape differences, improving the rationality of the mapping results, and ensuring that each anatomical part simultaneously meets the physical consistency requirements. Finally, based on the regional dynamic mapping relationship and the first information, the biomechanical response channel data of each anatomical region of the target body shape can be obtained.

[0018] Furthermore, by co-mapping the response amplitude and time scale, the physical consistency of response transformation between different body sizes is improved.

[0019] Furthermore, the physical consistency verification mechanism can be used to verify the rationality of the mapping results, thereby enhancing the reliability and scalability of the method in engineering applications. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the specific embodiments of this application or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0021] Figure 1This is a flowchart illustrating the biomechanical response mapping method provided in this application.

[0022] Figure 2 This is a schematic diagram of the biomechanical response mapping device provided in this application.

[0023] Figure 3 This is a schematic diagram of the structure of the electronic device provided in this application. Detailed Implementation

[0024] The following description, in conjunction with the accompanying drawings, illustrates exemplary embodiments of this application, including various details to aid understanding. These should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this application. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0025] As mentioned in the background section, under actual impact conditions, the dynamic response mechanisms of different anatomical regions of the human body differ significantly. The inventors of this application have found that the head response typically exhibits inertia-dominated characteristics, the chest response is closely related to structural stiffness and deformation characteristics, while the abdomen and soft tissue regions show obvious time dependence and viscoelastic characteristics. When body shape changes, the degree of influence from changes in equivalent mass, structural stiffness, and characteristic length varies across different regions.

[0026] In the above situation, if a uniform scaling factor is used to scale all anatomical regions as a whole, the following problems may occur: (1) Ignoring regional dynamic differences: The physical response mechanisms of different anatomical regions of the human body are inconsistent. For example, the head is mostly dominated by inertia, while the chest is more affected by structural stiffness.

[0027] (2) Insufficient physical consistency: Using uniform scaling may lead to physical deviations in the relationship between response peak, duration and energy integral at different locations.

[0028] (3) Risk of large error: When there are large differences in size or significant nonlinear response, simple linear scaling will lead to serious distortion of the results.

[0029] Based on this, this application distinguishes the dominant dynamic characteristics of different anatomical regions and then adopts a mechanism to establish mapping relationships for the differences in each region, so as to ensure that the scaling results meet the corresponding physical consistency requirements in each anatomical location.

[0030] Example 1 Figure 1This is a flowchart of a biomechanical response mapping method provided in this embodiment. The method can be executed by a biomechanical response mapping device, which can be composed of software and / or hardware and is generally integrated into an electronic device, such as a computer. For ease of understanding, each step in the method of this embodiment is executed by an electronic computer.

[0031] like Figure 1 As shown, this embodiment provides a biomechanical response mapping method, including the following steps: S110. Obtain first information, the first information including: source body shape biomechanical response channel data, source body shape parameters, target body shape parameters; the body shape parameters include mass parameters, characteristic length parameters, and stiffness parameters.

[0032] The above body shape parameters can be used to characterize the dynamic differences between different body shapes. Among them, (1) mass parameter: the effective mass of the individual as a whole or a specific anatomical region. (2) characteristic length parameter: a representative linear dimension used to characterize the geometric scale and spatial scale of the individual's anatomical structure. For the whole, such as height, sitting height, etc., and for segmental levels, such as head: head circumference or occipitofrontal diameter; chest: chest thickness (anteroposterior diameter of the chest) or chest width; lower limb: femur length or tibia length. (3) stiffness parameter: the mechanical stiffness characteristics exhibited by the individual's anatomical structure when resisting deformation in a specific direction. It is represented by the slope of the elastic segment in the force-displacement curve. Chest: chest compression stiffness (force / chest displacement) obtained through chest impact test. Abdomen: equivalent elastic modulus in the viscoelastic response of the abdomen.

[0033] Optionally, the biomechanical response channel data includes at least one of force-time curves, acceleration-time curves, displacement-time curves, and strain-time curves.

[0034] S120. Based on the dynamic dominant mechanism of the impact response, a regionalized dynamic mapping relationship is constructed; the regionalized dynamic mapping relationship is used to characterize the relationship between the body shape parameters of the source body shape, the body shape parameters of the target body shape, the biomechanical response channels of each anatomical region of the source body shape, and the biomechanical response channels of each anatomical region of the target body shape.

[0035] Among them, the dynamic dominant mechanism of impact response refers to the main physical control mechanism exhibited by the biomechanical response (such as force, acceleration, and deformation) of a certain anatomical region of the human body in terms of time history and amplitude changes under specific impact loading conditions (such as collision and drop). This characteristic determines the sensitivity weight ranking of the response of this region to changes in mass, stiffness, and geometric dimensions.

[0036] Optionally, constructing a regionalized dynamic mapping relationship based on the dominant dynamic mechanism of the impact response includes: Based on the dynamic dominant mechanism of the impact response, the biomechanical response channel data of the source body type is divided into anatomical regions so that different anatomical regions correspond to different dynamic dominant mechanisms, thereby determining the biomechanical response channel data of each anatomical region of the source body type. Based on the aforementioned dynamic dominance mechanism, a regionalized dynamic mapping relationship is constructed.

[0037] Different anatomical regions correspond to different dominant dynamic mechanisms. Specifically, the head region mainly exhibits inertial control characteristics, the chest region mainly exhibits structural stiffness control characteristics, and the abdomen and soft tissue regions exhibit more obvious time-dependent characteristics. Therefore, optionally, the dominant dynamic mechanism includes at least one of an inertial dominant mechanism, a structural stiffness dominant mechanism, and a time-scale dominant mechanism; the inertial dominant mechanism corresponds at least to the head region, the structural stiffness dominant mechanism corresponds at least to the chest region, and the time-scale dominant mechanism corresponds at least to the abdomen and soft tissue regions.

[0038] Optionally, the regionalized dynamic mapping relationship is:

[0039] in, Indicates the target body size in the region Response channel data, Indicates the source body type in the region Response channel data, such as force-time curves, acceleration-time curves, etc.; These are the mass parameters of the source body type. For the target body shape's mass parameters; For the stiffness parameters of the source body, The stiffness parameters of the target body shape; The characteristic length parameter of the source body shape. The characteristic length parameter of the target body shape; For quality parameters in the region The mapping index on, For stiffness parameters in the region The mapping index on, For the feature length parameter in the region The mapping index on; This is the regional time scale adjustment factor.

[0040] The above mapping index , , The parameters are set based on the dominant dynamic characteristics of the corresponding region, allowing different anatomical regions to exhibit differentiated physical control characteristics during the adjustment of response amplitude and time scale. Each index can be determined based on theoretical analysis, experimental data, or numerical simulation results. , , This is derived from dimensional analysis and the similarity theorem. In impact dynamics, the dimensions of response quantities such as force and acceleration can be expressed as a power-law combination of mass, stiffness, and characteristic length. The baseline theoretical values ​​of each index are directly determined by the dimensional equation. For example, the scaling theoretical index of force is a=0, b=1, c=1; the scaling theoretical index of acceleration is a=-1, b=1, c=1. Since the various anatomical regions of the human body are not ideal systems, the inventors analyzed the dominant dynamic mechanism of the impact response and identified that the head is dominated by inertia, the chest by stiffness, and the abdomen by the time scale. Based on this, a biased correction was made to the theoretical baseline values: the inertia-dominated region was increased by a. Weight, stiffness-dominant region increases by b Weights. These mapping indices , , There is no uniform fixed range of values ​​because: (1) These indices are regional parameters, and their values ​​depend on the dynamic dominant characteristics of the specific anatomical region. Different regions have different value tendencies. This is the core innovation of this embodiment that distinguishes it from the existing unified scaling method. (2) The specific values ​​are determined by the closed-loop iterative correction mechanism of physical consistency verification. Only values ​​that make the verification result fall within the preset error range are accepted.

[0041] This is used to compress or stretch the response waveform of the source body shape along the time axis during body scaling. In impact biomechanics, scaling involves not only scaling the response amplitude but also scaling the response duration. When >1, the response waveform is compressed (duration becomes shorter); when When the value is less than 1, the response waveform is stretched (duration increases). Different anatomical regions... The values ​​can be different to reflect the varying characteristics of the response duration in different regions when body size changes. There is no uniform fixed range of values ​​because: (1) It is a regional parameter, and its value depends on the dynamic dominant characteristics of the specific anatomical region. Different regions have different value tendencies; (2) The value is affected by the magnitude of the type difference; the greater the difference, The greater the deviation from 1.0; (3) within the range of typical human body shape differences, Typically, the value is between 0.5 and 2.0. The specific value is ultimately determined by the closed-loop iterative correction mechanism in this embodiment to ensure the physical rationality of the scaling result.

[0042] Optionally, The value in the first region is greater than the value in the non-first region, and the first region is the region corresponding to the inertial-dominated mechanism; The values ​​in the second region are greater than those in the non-second region, and the first region is the region corresponding to the dominant mechanism of structural stiffness.

[0043] In this embodiment, for the region corresponding to the inertial-dominated mechanism, the weighting index of the mass parameter ratio is increased. For regions where structural stiffness dominates, the weighting index of stiffness-related parameters should be increased. This allows for a better fit to the dynamic characteristics of different regions, resulting in more reliable mapping results.

[0044] S130. Based on the regionalized dynamic mapping relationship and the first information, determine the biomechanical response channel data of each anatomical region of the target body shape.

[0045] In this step, after obtaining the regionalized dynamic mapping relationship, the biomechanical response channel data of the source body type are processed separately to obtain the biomechanical response channel data of each anatomical region of the target body type. This data can be used for applications such as engineering safety evaluation, damage threshold conversion or finite element model verification.

[0046] Optionally, after S130, a step of physically verifying the biomechanical response channel data of each anatomical region of the target body shape is further included; the physical consistency verification adopts at least one of the following methods: (1) Peak ratio verification: Verify whether the ratio of the peak value of the target body size response to the peak value of the source body size response conforms to the preset mass-kinetic ratio range; The physical consistency verification in this application is uniformly based on the body shape mapping relationship, and its core consists of mass ratio, stiffness ratio, characteristic length ratio, and mapping index. , and and time scaling factor The three verification methods are not isolated, but rather constrain the consistency of the same mapping result from three physical dimensions: response amplitude, time integral, and energy work done.

[0047] In the peak ratio verification, the first step is to compare the source body type and the target body type in the anatomical region. Extracting source volumetric response peak from the response channel Peak response to target body size And calculate the actual peak ratio This actual ratio needs to be compared with the theoretical ratio determined by the mapping relationship. The theoretical ratio originates from the dominant dynamic mechanism, such as the theoretical peak ratio under inertial-dominated conditions. satisfy

[0048] Under the condition that structural stiffness dominates, it satisfies

[0049] Therefore, by judgment

[0050] The mapping index can be directly verified. , and The matching relationship between the body size parameter ratio and the amplitude scaling level.

[0051] Permissible error coefficient This parameter is used to characterize the acceptable range of deviation between the actual and theoretical proportions. Its value can be determined based on data dispersion and model uncertainty. On one hand, when experimental or sample data is available, calculations can be performed based on the statistical dispersion of the response data for the source and target body types. For example, the deviation distribution between the theoretical and actual proportions can be calculated using multiple sets of samples, and the standard deviation or coefficient of variation can be used to characterize the degree of dispersion, thereby determining the acceptable range of deviation.

[0052] in, The average of the proportions, Standard deviation This represents the confidence coefficient (e.g., 1 to 2, corresponding to a confidence interval of approximately 68% to 95%). On the other hand, in situations where statistical samples are lacking or in engineering application scenarios, It can also be preset according to the uncertainty range commonly found in biomechanical response and numerical simulation, usually taken as 0.1 to 0.15, to reflect the comprehensive influence of factors such as material parameter dispersion, geometric differences and numerical errors.

[0053] (2) Impulse consistency verification: By integrating the force-time curve, verify whether the impulse change between the target body shape and the source body shape satisfies the momentum theorem; In impulse consistency verification, impulse is obtained by integrating the force-time curve.

[0054]

[0055] in, The impulse of the source body shape. The momentum for the target body size. The force acting on the source body in region r at time t. Let t be the force exerted on the target body in region r at time t, where t is time.

[0056] Then combine the source body velocity change Target size velocity change Establish proportional relationships based on the momentum theorem

[0057] Further define the first deviation :

[0058] Used to determine consistency.

[0059] The first deviation defined This is used to characterize the relative deviation between the actual impulse ratio and the theoretical ratio obtained based on the momentum theorem; its essence is a dimensionless relative error. In practical applications, to ensure that the mapping result satisfies the momentum conservation constraint, an allowable range for this deviation needs to be set. This allowable range can be determined comprehensively based on biomechanical experimental errors, numerical calculation errors, and parameter uncertainties. Typically, it is controlled within... When the value is within the specified range, the impulse consistency requirement can be considered met; when the accuracy requirement is high or the data quality is good, the value can be further tightened to within 0.10.

[0060] (3) Energy integral relationship verification: Verify whether the energy absorption or conversion ratio in the response process conforms to the law of conservation of energy.

[0061] In the verification of energy integral relationships, the force-displacement relationship is constructed and the energy absorption is calculated.

[0062]

[0063] in, Energy absorption by the source body type. Energy absorption for the target body size The force on the source body at displacement x in region r. The force acting on the target body in region r at displacement x is calculated, where x is the displacement. This is then compared with the theoretical energy ratio, based on dimensional relationships. And from the mapping expression, the theoretical energy scaling factor can be obtained. Thus, the second deviation is defined. As a basis for judgment.

[0064] In practical applications, the allowable deviation range can be determined comprehensively based on the sources of uncertainty in energy calculation. Since energy is a force-displacement integral, its error simultaneously incorporates force measurement error, displacement calculation error (e.g., obtained from acceleration integration), and numerical integration error; therefore, its allowable range is typically slightly larger than peak value or impulse-related indicators. Generally, [the following is a more general description of the deviation range]. Controlled Within the specified range, the energy consistency requirement can be considered met; when the data quality is high or the model accuracy is high, it can be tightened to 0.10~0.15.

[0065] Understandably, verifying whether the impulse changes of the target and source shapes satisfy the momentum theorem means verifying whether the impulse changes of the target and source shapes satisfy the physical laws defined by the momentum theorem. Similarly, verifying whether the energy absorption or conversion ratio during the response process conforms to the law of conservation of energy means verifying whether the energy absorption or conversion ratio during the response process conforms to the laws defined by the law of conservation of energy.

[0066] Optionally, after the physical consistency verification, the following steps are also included: If the physical consistency verification result exceeds the preset error range, the process returns to construct a regional dynamic mapping relationship based on the dynamic dominant mechanism of the impact response. During the return execution, the regional dynamic mapping relationship is corrected according to the verification deviation value until the physical consistency verification result is within the preset error range.

[0067] The aforementioned biomechanical response mapping method first obtains the first information related to the response mapping. By comprehensively considering the coupling effects of mass parameters, structural stiffness parameters, and characteristic length parameters, it overcomes the error problem caused by the overall scaling of a single scaling factor in traditional methods. Then, based on the dynamic dominant mechanism of impact response, a regional dynamic mapping relationship is constructed. This regional dynamic mapping relationship expresses the idea of ​​regional division, enabling different anatomical regions to reflect their physical control characteristics during the transformation of body shape differences, improving the rationality of the mapping results, and ensuring that each anatomical part simultaneously meets the physical consistency requirements. Finally, based on the regional dynamic mapping relationship and the first information, the biomechanical response channel data of each anatomical region of the target body shape can be obtained.

[0068] Furthermore, by co-mapping the response amplitude and time scale, the physical consistency of response transformation between different body sizes is improved. Here, the response amplitude refers to the numerical value of the mechanical response.

[0069] Furthermore, the physical consistency verification mechanism can be used to verify the rationality of the mapping results, thereby enhancing the reliability and scalability of the method in engineering applications.

[0070] In summary, this embodiment does not suffer from the problems of insufficient physical consistency, large regional response error, and mismatch of dynamic characteristics caused by the uniform scaling factor in the prior art. It can achieve reasonable conversion of biomechanical response channels between source body type and target body type under the premise of considering the differences in the dominant dynamic mechanisms of different anatomical regions, so that the mapping results maintain physical consistency in terms of amplitude ratio, time scale, and energy relationship.

[0071] Example 2 like Figure 2 As shown, this embodiment provides a biomechanical response mapping device, including: The first information acquisition module 201 is used to acquire first information, which includes: source body shape biomechanical response channel data, source body shape parameters, and target body shape parameters; the body shape parameters include mass parameters, characteristic length parameters, and stiffness parameters. The regional dynamic mapping relationship construction module 202 is used to construct a regional dynamic mapping relationship based on the dynamic dominant mechanism of the impact response; the regional dynamic mapping relationship is used to characterize the relationship between the body shape parameters of the source body shape, the body shape parameters of the target body shape, the biomechanical response channels of each anatomical region of the source body shape, and the biomechanical response channels of each anatomical region of the target body shape. The biomechanical response channel data determination module 203 for each anatomical region of the target body type is used to determine the biomechanical response channel data for each anatomical region of the target body type based on the regionalized dynamic mapping relationship and the first information.

[0072] The device is used to perform the above method, and therefore has at least the functional modules and beneficial effects corresponding to the above method.

[0073] Example 3 like Figure 3 As shown, this embodiment provides an electronic device, including: At least one processor; and A memory communicatively connected to at least one of the processors; wherein, The memory stores instructions executable by at least one of the processors to enable the processor to perform the described method. Since at least one processor in the electronic device is capable of performing the described method, it thus possesses at least the same advantages as the described method.

[0074] Optionally, the electronic device also includes interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The components are interconnected using different buses and can be mounted on a common motherboard or otherwise installed as needed. The processor can process instructions executed within the electronic device, including instructions stored in or on memory to display graphical information of a GUI (Graphical User Interface) on an external input / output device (such as a display device coupled to the interface). In other embodiments, multiple processors can be used with multiple memories, and / or multiple buses can be used with multiple memories, if desired. Similarly, multiple electronic devices (e.g., as a server array, a group of blade servers, or a multiprocessor system) can be connected, each providing some of the necessary operations. Figure 3 Take processor 301 as an example.

[0075] The memory 302, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the biomechanical response mapping method in the embodiments of this application (e.g., the first information acquisition module, the regionalized dynamic mapping relationship construction module, and the biomechanical response channel data determination module for each anatomical region of the target body shape in the biomechanical response mapping device). The processor 301 executes various functional applications and data processing of the device by running the software programs, instructions, and modules stored in the memory 302, thereby realizing the above-mentioned biomechanical response mapping method.

[0076] The memory 302 may primarily include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on terminal usage. Furthermore, the memory 302 may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 302 may further include memory remotely located relative to the processor 301, which can be connected to the device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0077] The electronic device may further include an input device 303 and an output device 304. The processor 301, memory 302, input device 303, and output device 304 can be connected via a bus or other means. Figure 3 Taking the example of a connection between China and Israel via a bus.

[0078] Input device 303 can receive input digital or character information, and output device 304 may include a display device, an auxiliary lighting device (e.g., an LED), and a haptic feedback device (e.g., a vibration motor). The display device may include, but is not limited to, a liquid crystal display (LCD), a light-emitting diode (LED) display, and a plasma display. In some embodiments, the display device may be a touchscreen.

[0079] Example 4 This embodiment provides a computer-readable storage medium storing computer instructions for causing a computer to perform the methods described above. The computer instructions on this computer-readable storage medium, used to cause a computer to perform the methods described above, thus have at least the same advantages as the methods described above.

[0080] The medium in this application may be any combination of one or more computer-readable media. The medium may be a computer-readable signal medium or a computer-readable storage medium. The medium may be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the medium (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, the medium may be any tangible medium containing or storing a program that may be used by or in connection with an instruction execution system, apparatus, or device.

[0081] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0082] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wire, optical fiber, RF (Radio Frequency), or any suitable combination thereof.

[0083] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof. Programming languages ​​include object-oriented programming languages—such as Java, Smalltalk, and C++—as well as conventional procedural programming languages—such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0084] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this application can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this application can be achieved, and this is not limited herein.

[0085] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A biomechanical response mapping method, characterized in that, include: Obtain first information, which includes: biomechanical response channel data of the source body shape, body shape parameters of the source body shape, and body shape parameters of the target body shape; the body shape parameters include mass parameters, characteristic length parameters, and stiffness parameters; Based on the dominant dynamic mechanism of impact response, a regional dynamic mapping relationship is constructed; the regional dynamic mapping relationship is used to characterize the relationship between the body shape parameters of the source body shape, the body shape parameters of the target body shape, the biomechanical response channels of each anatomical region of the source body shape, and the biomechanical response channels of each anatomical region of the target body shape. Based on the regionalized dynamic mapping relationship and the first information, biomechanical response channel data for each anatomical region of the target body type are determined.

2. The biomechanical response mapping method according to claim 1, characterized in that, The construction of regionalized dynamic mapping relationships based on the dominant dynamic mechanism of the impact response includes: Based on the dynamic dominant mechanism of the impact response, the biomechanical response channel data of the source body type is divided into anatomical regions so that different anatomical regions correspond to different dynamic dominant mechanisms, thereby determining the biomechanical response channel data of each anatomical region of the source body type. Based on the aforementioned dynamic dominance mechanism, a regionalized dynamic mapping relationship is constructed.

3. The biomechanical response mapping method according to claim 2, characterized in that, The dominant dynamic mechanism includes at least one of the following: inertia-dominated mechanism, structural stiffness-dominated mechanism, and time-scale-dominated mechanism. The inertial-dominated mechanism corresponds at least to the head region, the structural stiffness-dominated mechanism corresponds at least to the chest region, and the time-scale-dominated mechanism corresponds at least to the abdomen and soft tissue region.

4. The biomechanical response mapping method according to claim 1, characterized in that, The regionalized dynamic mapping relationship is as follows: in, Indicates the target body size in the region Response channel data, Indicates the source body type in the region Response channel data; These are the mass parameters of the source body type. For the target body shape's mass parameters; For the stiffness parameters of the source body, The stiffness parameters of the target body shape; The characteristic length parameter of the source body shape. The characteristic length parameter of the target body shape; For quality parameters in the region The mapping index on, For stiffness parameters in the region The mapping index on, For the feature length parameter in the region The mapping index on; This is the regional time scale adjustment factor.

5. The biomechanical response mapping method according to claim 4, characterized in that, The value in the first region is greater than the value in the non-first region, and the first region is the region corresponding to the inertial-dominated mechanism; The values ​​in the second region are greater than those in the non-second region, and the first region is the region corresponding to the dominant mechanism of structural stiffness.

6. The biomechanical response mapping method according to claim 1, characterized in that, After determining the biomechanical response channel data of each anatomical region of the target body type based on the regionalized dynamic mapping relationship and the first information, the method further includes a step of performing a physical consistency verification on the biomechanical response channel data of each anatomical region of the target body type; the physical consistency verification adopts at least one of the following methods: (1) Peak ratio verification: Verify whether the ratio of the peak value of the target body size response to the peak value of the source body size response conforms to the preset mass-kinetic ratio range; (2) Impulse consistency verification: By integrating the force-time curve, verify whether the impulse change between the target body shape and the source body shape satisfies the momentum theorem; (3) Energy integral relationship verification: Verify whether the energy absorption or conversion ratio in the response process conforms to the law of conservation of energy.

7. The biomechanical response mapping method according to claim 6, characterized in that, Following the physical consistency check, the following steps are also included: If the physical consistency verification result exceeds the preset error range, the process returns to construct a regional dynamic mapping relationship based on the dynamic dominant mechanism of the impact response. During the return execution, the regional dynamic mapping relationship is corrected according to the verification deviation value until the physical consistency verification result is within the preset error range.

8. A biomechanical response mapping device, characterized in that, include: The first information acquisition module is used to acquire first information, which includes: source body shape biomechanical response channel data, source body shape parameters, and target body shape parameters; the body shape parameters include mass parameters, characteristic length parameters, and stiffness parameters. The regional dynamic mapping relationship construction module is used to construct regional dynamic mapping relationships based on the dynamic dominant mechanism of the impact response; the regional dynamic mapping relationship is used to characterize the relationship between the body shape parameters of the source body shape, the body shape parameters of the target body shape, the biomechanical response channels of each anatomical region of the source body shape, and the biomechanical response channels of each anatomical region of the target body shape. The biomechanical response channel data determination module for each anatomical region of the target body type is used to determine the biomechanical response channel data for each anatomical region of the target body type based on the regionalized dynamic mapping relationship and the first information.

9. An electronic device, characterized in that, include: At least one processor, and a memory communicatively connected to at least one of the processors; The memory stores instructions executable by at least one of the processors, which are executed to enable the at least one of the processors to perform the method of any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The medium stores computer instructions for causing the computer to perform the method of any one of claims 1-7.

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