Skin microcirculation disturbance assessment device

Abstract

The invention provides a skin microcirculation disturbance evaluation device which comprises an acquisition module used for acquiring to-be-processed information of a target user, and the user information comprises at least one electrical parameter at a target area of the target user; the preprocessing module is used for generating user statistical information of the electrical parameters according to the electrical parameters; and the classification module is used for performing classification processing on the user statistical information by using the microcirculation disturbance evaluation model to obtain a target classification result, and the target classification result represents whether the skin at the target area has circulatory disturbance or not.

Description

Technical Field

[0001] The present disclosure relates to the technical field of medical equipment, and more specifically, to a skin microcirculation disorder assessment device, an electronic device, a computer-readable storage medium, and a computer program product. Background Art

[0002] Skin microcirculation disorder refers to a clinical disease involving changes in microvascular morphology, structure and function. It is an important pathological manifestation of many diseases, such as peripheral arterial occlusion, diabetic foot, hypertension, etc. As the disease progresses, it can lead to a series of serious problems such as tissue necrosis and non-traumatic amputation. Evaluation of skin microcirculation disorder can help early detection of the disease and implementation of surgical intervention, thereby improving the course of the disease.

[0003] In the process of implementing the concept of the present disclosure, it was found that the accuracy of the related art in identifying skin microcirculation disorders was poor. Summary of the invention

[0004] In view of this, the present disclosure provides a skin microcirculation disorder assessment device, an electronic device, a computer-readable storage medium, and a computer program product.

[0005] One aspect of the present disclosure provides a skin microcirculation disorder assessment device, comprising:

[0006] A collection module, used for collecting information to be processed of a target user, wherein the user information includes at least one electrical parameter at a target area of ​​the target user;

[0007] A preprocessing module, used to generate user statistical information of the electrical parameters according to the electrical parameters;

[0008] The classification module is used to classify the above user statistical information using a microcirculation disorder assessment model to obtain a target classification result, wherein the above target classification result represents whether there is a circulation disorder in the skin of the above target area.

[0009] According to an embodiment of the present disclosure, the microcirculation disorder assessment model is obtained by training using a training device, and the training device includes:

[0010] An acquisition module, used to acquire a plurality of training information corresponding to different training users, wherein the training information includes training statistical information at the training area of ​​the training user and an evaluation label corresponding to the training area, wherein the evaluation label indicates whether there is a circulation disorder in the skin at the training area;

[0011] A processing module, for each of the training information, inputting the training statistics into an initial classification model and outputting a predicted classification result;

[0012] The training module is used to train the initial classification model according to the predicted classification result and the evaluation label corresponding to the training information to obtain the trained microcirculation disorder evaluation model.

[0013] According to an embodiment of the present disclosure, the training module includes:

[0014] A first computing unit, configured to generate a target loss value according to the predicted classification result and the evaluation label corresponding to the training information;

[0015] The adjustment unit is used to iteratively adjust the network parameters of the initial classification model according to the target loss value to obtain the trained microcirculation disorder assessment model.

[0016] According to an embodiment of the present disclosure, the above-mentioned electrical parameters include at least one of skin resistance data, skin capacitance data, skin conductance data and skin impedance data.

[0017] According to an embodiment of the present disclosure, the preprocessing module includes:

[0018] A drawing unit, for drawing a data scatter plot according to the skin data for any skin data in the electrical parameters;

[0019] A determination unit is used to determine the user statistical information according to the data scatter plot, wherein the user statistical information includes a data average and a data slope corresponding to the skin data.

[0020] According to an embodiment of the present disclosure, the user statistical information includes a data average and a data slope corresponding to the skin data.

[0021] According to an embodiment of the present disclosure, the classification module includes:

[0022] A first determination unit, configured to determine the average value of the data based on an average threshold value to obtain a first determination result when there is only one electrical parameter;

[0023] A second determination unit is configured to determine the slope of the data based on a slope threshold to obtain a second determination result when the first determination result indicates that the average value of the data is a first classification mark;

[0024] The first generating unit is used to generate a first classification result indicating that there is circulatory disorder in the skin of the target area when the second determination result indicates that the data slope is a second classification mark, wherein the target classification result includes the first classification result.

[0025] According to an embodiment of the present disclosure, the classification module further includes:

[0026] The second generating unit is used to generate a second classification result representing that there is no circulatory disorder in the skin of the target area when the first judgment result represents that the average value of the data is a third classification mark or the second judgment result represents that the slope of the data is a fourth classification mark, wherein the target classification result also includes the second classification result.

[0027] According to an embodiment of the present disclosure, the classification module includes:

[0028] A sorting unit, used for sorting the plurality of electrical parameters in terms of importance when there are a plurality of electrical parameters, to obtain a sorting result;

[0029] A third determination unit, configured to perform threshold determination on each electrical parameter in the sorting result in turn based on the sorting result to obtain a third determination result;

[0030] The third generating unit is used for generating the target classification result indicating that there is a circulation disorder in the skin of the target area when the third determination result indicates that the user information is a fifth classification mark.

[0031] According to an embodiment of the present disclosure, the classification module further includes:

[0032] A second calculation unit, used for calculating, for any of the electrical parameters, a first distance between an average value of data in the electrical parameter and an average threshold value;

[0033] A third calculation unit, used for calculating a second distance between a data slope and a slope threshold in the electrical parameter;

[0034] The fourth generating unit is used to generate a circulatory disorder score according to at least one of the first distances and at least one of the second distances.

[0035] According to an embodiment of the present disclosure, the skin microcirculation disorder assessment device further includes:

[0036] A generating module, for generating an evaluation grade of the skin at the target area according to the circulatory disorder score based on a preset grade classification table;

[0037] The first display module is used to display the above evaluation level to the above target users.

[0038] According to an embodiment of the present disclosure, the skin microcirculation disorder assessment device further includes:

[0039] An extraction module, used for extracting health suggestions corresponding to the above evaluation levels from a preset suggestion list;

[0040] The second display module is used to display the above-mentioned evaluation level and the above-mentioned health recommendations in association with each other.

[0041] Another aspect of the present disclosure provides an electronic device, comprising:

[0042] one or more processors;

[0043] a memory for storing one or more programs,

[0044] Wherein, when the one or more programs are executed by the one or more processors, the one or more processors implement the data processing process of the skin microcirculation disorder assessment device.

[0045] Another aspect of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, which, when executed, are used to implement a data processing process of a skin microcirculation disorder assessment device.

[0046] Another aspect of the present disclosure provides a computer program product, which includes computer executable instructions, and when the instructions are executed, are used to implement a data processing process of a skin microcirculation disorder assessment device.

[0047] According to the embodiment of the present disclosure, the target user's information to be processed is collected by the collection module, and the user's statistical information of the electrical parameters is generated by the preprocessing module according to the electrical parameters. Thereafter, the user's statistical information is classified and processed by the microcirculation disorder assessment model in the classification module to obtain a target classification result characterizing whether the skin in the target area has a circulation disorder. The skin microcirculation disorder assessment device disclosed in the present disclosure realizes the identification of circulation disorders based on electrical parameters and the microcirculation disorder assessment model, thereby improving the identification accuracy and efficiency of skin microcirculation disorders. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The above and other objects, features and advantages of the present disclosure will become more apparent through the following description of the embodiments of the present disclosure with reference to the accompanying drawings, in which:

[0049] Figure 1 Schematically shows a block diagram of a skin microcirculation disorder assessment device according to an embodiment of the present disclosure;

[0050] Figure 2 A block diagram of a training device according to an embodiment of the present disclosure is schematically shown;

[0051] Figure 3 Schematically showing a bar graph of the conductivity values ​​of the affected and non-affected parts of the microcirculatory disorder before and after surgery according to the present disclosure;

[0052] Figure 4 The data fitting diagram according to the embodiment of the present disclosure is schematically shown;

[0053] Figure 5 Schematically shows an asymmetric angle diagram of the affected and non-affected areas of microcirculatory disorder according to an embodiment of the present disclosure;

[0054] Figure 6 A schematic diagram schematically shows a structure of a decision model according to an embodiment of the present disclosure; and

[0055] Figure 7 The block diagram schematically shows an electronic device suitable for implementing the data processing process of the skin microcirculation disorder assessment device described above according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0056] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0057] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0058] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0059] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0060] In the embodiments of the present disclosure, the collection, updating, analysis, processing, use, transmission, provision, disclosure, storage, etc. of the data involved (for example, including but not limited to user personal information) are in compliance with the provisions of relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. In particular, necessary measures are taken for user personal information to prevent illegal access to user personal information data and maintain the security of user personal information and network security.

[0061] In the embodiments of the present disclosure, the user's authorization or consent is obtained before obtaining or collecting the user's personal information.

[0062] Figure 1 A block diagram of a skin microcirculation disorder assessment device according to an embodiment of the present disclosure is schematically shown.

[0063] like Figure 1 As shown, the skin microcirculation disorder assessment device 100 comprises:

[0064] A collection module 110, configured to collect information to be processed of a target user, wherein the user information includes at least one electrical parameter at a target area of ​​the target user;

[0065] A preprocessing module 120, configured to generate user statistical information of the electrical parameters according to the electrical parameters;

[0066] The classification module 130 is used to classify the user statistical information using a microcirculation disorder assessment model to obtain a target classification result, wherein the target classification result indicates whether there is a circulation disorder in the skin of the target area.

[0067] According to an embodiment of the present disclosure, the target user may be a patient seeking medical treatment, and the target area may be a diseased limb. The user statistical information may be information calculated using a mathematical statistical method.

[0068] According to the embodiments of the present disclosure, electrical parameters can be measured by voltage excitation at a certain frequency, using methods such as the dual-electrode method, etc. to measure parameter values ​​of target users under different conditions. For example, a multi-channel electrode array can be used for electrical impedance tomography, and combined with the changes in time and frequency, more accurate and comprehensive parameter information can be obtained.

[0069] According to an embodiment of the present disclosure, after the acquisition module acquires the information to be processed, the preprocessing module can be used to calculate the user statistical information of the electrical parameters, and the user statistical information can be input into the classification module, thereby using the microcirculation disorder assessment model to classify the user statistical information to obtain a target classification result, from which it can be seen whether there is skin microcirculation disorder in the target area of ​​the target user.

[0070] According to the embodiment of the present disclosure, the target user's information to be processed is collected by the collection module, and the user's statistical information of the electrical parameters is generated by the preprocessing module according to the electrical parameters. Thereafter, the user's statistical information is classified and processed by the microcirculation disorder assessment model in the classification module to obtain a target classification result characterizing whether the skin in the target area has a circulation disorder. The skin microcirculation disorder assessment device disclosed in the present disclosure realizes the identification of circulation disorders based on electrical parameters and the microcirculation disorder assessment model, thereby improving the identification accuracy and efficiency of skin microcirculation disorders.

[0071] Figure 2 A block diagram of a training device according to an embodiment of the present disclosure is schematically shown.

[0072] like Figure 2 As shown, the microcirculation disorder assessment model is obtained by training using a training device 200, and the training device 200 includes:

[0073] An acquisition module 210 is used to acquire a plurality of training information corresponding to different training users, wherein the training information includes training statistical information at a training area of ​​the training user and an evaluation label corresponding to the training area, wherein the evaluation label indicates whether there is a circulation disorder on the skin at the training area;

[0074] A processing module 220 is used for inputting the training statistical information into an initial classification model for each of the training information, and outputting a predicted classification result;

[0075] The training module 230 is used to train the initial classification model according to the predicted classification result and the evaluation label corresponding to the training information to obtain the trained microcirculation disorder evaluation model.

[0076] According to an embodiment of the present disclosure, the training area is the same as the target area. The initial classification model can be any type of binary classification network, such as a decision tree model.

[0077] According to an embodiment of the present disclosure, during training, the electrical parameters of the training user are first obtained, and the corresponding training statistical information is calculated based on the electrical parameters. The training statistical information is input into the initial classification model for classification prediction to obtain the predicted classification result, and the initial classification model is iteratively adjusted according to the evaluation label of the training statistical information and the predicted classification result, so as to obtain the trained microcirculation disorder evaluation model.

[0078] According to an embodiment of the present disclosure, the training module 230 includes:

[0079] A first computing unit, configured to generate a target loss value according to the predicted classification result and the evaluation label corresponding to the training information;

[0080] An adjustment unit is used to iteratively adjust the network parameters of the initial classification model according to the target loss value to obtain the trained microcirculation disorder assessment model.

[0081] According to an embodiment of the present disclosure, the target loss value can be calculated by a binary classification loss function, wherein the binary classification loss function can be a binary cross entropy loss, hinge loss, square hinge loss, Sigmoid loss function, BCELoss and other functions.

[0082] Figure 3 The bar graph schematically shows the conductivity values ​​of the affected and non-affected areas of microcirculatory disorders before and after surgery according to the present disclosure. Figure 4 The data fitting diagram according to the embodiment of the present disclosure is schematically shown. Figure 5 The asymmetric angle diagram of the affected area and the non-affected area of ​​microcirculation disorder according to an embodiment of the present disclosure is schematically shown.

[0083] According to an embodiment of the present disclosure, the electrical parameter includes at least one of skin resistance data, skin capacitance data, skin conductance data and skin impedance data.

[0084] According to an embodiment of the present disclosure, the preprocessing module 120 includes:

[0085] A drawing unit, for drawing a data scatter plot according to any skin data in the electrical parameters;

[0086] A determination unit is used to determine the user statistical information according to the data scatter plot, wherein the user statistical information includes a data average and a data slope corresponding to the skin data.

[0087] In a specific embodiment, the conductivity value of the target area (i.e., skin conductance data) is repeatedly measured, wherein the conductivity values ​​of the healthy and diseased limbs are different before and after surgical intervention, and with or without wound surface conditions, such as Figure 3 After obtaining the conductivity values, they are arranged in ascending order as the horizontal and vertical coordinates in the data scatter plot. The data average is calculated based on the data scatter plot, and a linear fit is performed on it to obtain the following: Figure 4 The slope of the data is shown.

[0088] According to an embodiment of the present disclosure, the data slope can be calculated using least squares linear fitting, wherein diseased (i.e., circulatory disorders exist) locations and healthy (i.e., no circulatory disorders exist) locations can be distinguished by comparing the slopes, such as Figure 5 The differences in the angular distribution between the healthy and diseased groups are shown.

[0089] Figure 6 The structural diagram of the decision model according to the embodiment of the present disclosure is schematically shown.

[0090] According to an embodiment of the present disclosure, the user statistical information includes a data average and a data slope corresponding to the skin data.

[0091] According to an embodiment of the present disclosure, the classification module 130 includes:

[0092] A first determination unit, configured to determine the data average value based on an average threshold value to obtain a first determination result when there is only one electrical parameter;

[0093] A second determination unit, configured to determine the data slope based on a slope threshold to obtain a second determination result when the first determination result indicates that the data average value is a first classification mark;

[0094] The first generating unit is configured to generate a first classification result indicating that there is a circulation disorder in the skin of the target area when the second determination result indicates that the data slope is a second classification mark, wherein the target classification result includes the first classification result.

[0095] According to the embodiments of the present disclosure, the average threshold and the slope threshold can be set according to user needs and data types. For example, for certain data, the data average value can be set to 50, and the slope threshold can be 2. Figure 6 shown.

[0096] According to an embodiment of the present disclosure, the first classification mark may refer to "circulatory disorder may exist", and the second classification mark may refer to "circulatory disorder exists".

[0097] According to an embodiment of the present disclosure, the data average value is first classified based on the average threshold at the root node to obtain a first judgment result. If the result determines that it belongs to "possible circulatory disorder", the data slope is further judged based on the slope threshold to obtain a second judgment result. If the result determines that it belongs to "circulatory disorder exists", it can be determined that there is circulatory disorder in the skin of the target area of ​​the target user.

[0098] It should be noted that the method of first determining the data average value and then determining the data slope described in the embodiments of the present disclosure may also be reversed in order.

[0099] According to an embodiment of the present disclosure, the classification module 130 further includes:

[0100] A second generating unit is configured to generate a second classification result indicating that there is no circulatory disorder in the skin of the target area when the first determination result indicates that the data average value is a third classification mark or the second determination result indicates that the data slope is a fourth classification mark, wherein the target classification result also includes the second classification result.

[0101] According to an embodiment of the present disclosure, both the third classification mark and the fourth classification mark may refer to “no circulation disorder exists”.

[0102] According to an embodiment of the present disclosure, in the process of determining the data average value or the data slope, as long as any one of the determination results shows that it belongs to "no circulatory disorder exists", the second classification result can be generated.

[0103] According to an embodiment of the present disclosure, the classification module 130 includes:

[0104] A sorting unit, used for sorting the plurality of electrical parameters in order of importance when there are multiple electrical parameters, to obtain a sorting result;

[0105] A third determination unit, configured to perform threshold determination on each electrical parameter in the sorting result in turn based on the sorting result to obtain a third determination result;

[0106] The third generating unit is configured to generate the target classification result indicating that a circulation disorder exists in the skin of the target area when the third determination result indicates that the user information is a fifth classification mark.

[0107] According to an embodiment of the present disclosure, the importance of the parameters can be set by the staff, for example, the importance is ranked as follows: skin resistance data, skin capacitance data, skin conductance data and skin impedance data. The fifth classification mark can also refer to "circulatory disorder exists".

[0108] According to an embodiment of the present disclosure, when there are multiple electrical parameters, they can be classified according to each type (i.e., the determination process of the data average or data slope recorded above) until a third determination result is obtained, unless the determination process of any type of parameter shows that "there is no circulation obstruction".

[0109] According to an embodiment of the present disclosure, the classification module 130 further includes:

[0110] A second calculation unit, configured to calculate, for any of the electrical parameters, a first distance between an average value of data in the electrical parameter and an average threshold value;

[0111] a third calculation unit, configured to calculate a second distance between a slope of the data in the electrical parameter and a slope threshold;

[0112] The fourth generating unit is configured to generate a circulatory disorder score according to at least one of the first distances and at least one of the second distances.

[0113] According to an embodiment of the present disclosure, both the first distance and the second distance may be Euclidean distances.

[0114] According to an embodiment of the present disclosure, a circulatory disorder score may be calculated based on weights among different electrical parameters, data averages, and data slopes, wherein a larger circulatory disorder score indicates a healthier or more severe condition.

[0115] According to an embodiment of the present disclosure, the skin microcirculation disorder assessment device 100 further includes:

[0116] A generating module, for generating an evaluation grade of the skin at the target area according to the circulatory disorder score based on a preset grade classification table;

[0117] The first display module is used to display the evaluation level to the target user.

[0118] According to an embodiment of the present disclosure, the preset grade classification table includes a plurality of different scoring intervals, each scoring interval corresponds to an evaluation grade, for example, the scoring interval 80-100 corresponds to the evaluation grade "severe circulatory disorder". After determining the evaluation grade, the first display module (eg, display) can be used for display.

[0119] According to an embodiment of the present disclosure, the skin microcirculation disorder assessment device 100 further includes:

[0120] An extraction module, used for extracting health advice corresponding to the evaluation level from a preset advice list;

[0121] The second display module is used to display the evaluation level and the health advice in an associated manner.

[0122] According to an embodiment of the present disclosure, the preset suggestion list includes health suggestions corresponding to different evaluation levels, which may be given by professional physicians.

[0123] According to the embodiments of the present invention, any multiple of the modules and units, or at least part of the functions of any multiple of them, can be implemented in one module. According to the embodiments of the present invention, any one or more of the modules and units can be split into multiple modules for implementation. According to the embodiments of the present invention, any one or more of the modules and units can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application-specific integrated circuit (ASIC), or can be implemented by hardware or firmware in any other reasonable way of integrating or packaging the circuit, or in any one of the three implementation methods of software, hardware and firmware, or in any appropriate combination of any of them. Alternatively, according to the embodiments of the present invention, one or more of the modules and units can be at least partially implemented as a computer program module, and when the computer program module is run, the corresponding function can be executed.

[0124] For example, any of the acquisition module 110, the preprocessing module 120, the classification module 130, or the acquisition module 210, the processing module 220, and the training module 230 can be combined in one module / unit for implementation, or any of the modules / units can be split into multiple modules / units. Alternatively, at least part of the functions of one or more of these modules / units can be combined with at least part of the functions of other modules / units and implemented in one module / unit. According to an embodiment of the present disclosure, at least one of the acquisition module 110, the preprocessing module 120, the classification module 130, or the acquisition module 210, the processing module 220, and the training module 230 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or by any one of the three implementation methods of software, hardware, and firmware, or by a suitable combination of any of them. Alternatively, the acquisition module 110, the preprocessing module 120, the classification module 130, or at least one of the acquisition module 210, the processing module 220, and the training module 230 can be at least partially implemented as a computer program module, which can perform corresponding functions when executed.

[0125] Figure 7 The block diagram schematically shows an electronic device suitable for implementing the data processing process of the skin microcirculation disorder assessment device described above according to an embodiment of the present disclosure. Figure 7 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0126] like Figure 7 As shown, the electronic device 700 according to an embodiment of the present disclosure includes a processor 701, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 702 or a program loaded from a storage part 708 to a random access memory (RAM) 703. The processor 701 may include, for example, a general-purpose microprocessor (such as a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (for example, an application-specific integrated circuit (ASIC)), etc. The processor 701 may also include an onboard memory for caching purposes. The processor 701 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 disclosure.

[0127] In RAM 703, various programs and data required for the operation of electronic device 700 are stored. Processor 701, ROM 702 and RAM 703 are connected to each other via bus 704. Processor 701 performs various operations of the method flow according to the embodiment of the present disclosure by executing the program in ROM 702 and / or RAM 703. It should be noted that the program can also be stored in one or more memories other than ROM 702 and RAM 703. Processor 701 can also perform various operations of the method flow according to the embodiment of the present disclosure by executing the program stored in the one or more memories.

[0128] According to an embodiment of the present disclosure, the electronic device 700 may further include an input / output (I / O) interface 705, which is also connected to the bus 704. The electronic device 700 may further include one or more of the following components connected to the input / output (I / O) interface 705: an input portion 706 including a keyboard, a mouse, etc.; an output portion 707 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 708 including a hard disk, etc.; and a communication portion 709 including a network interface card such as a LAN card, a modem, etc. The communication portion 709 performs communication processing via a network such as the Internet. A drive 710 is also connected to the input / output (I / O) interface 705 as needed. A removable medium 711, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 710 as needed, so that a computer program read therefrom is installed into the storage portion 708 as needed.

[0129] According to an embodiment of the present disclosure, the data processing process of the skin microcirculation disorder assessment device according to the embodiment of the present disclosure can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program contains a program code for executing the data processing process of the skin microcirculation disorder assessment device. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 709, and / or installed from the removable medium 711. When the computer program is executed by the processor 701, the above-mentioned functions defined in the system of the embodiment of the present disclosure are executed. According to an embodiment of the present disclosure, the systems, devices, means, modules, units, etc. described above can be implemented by computer program modules.

[0130] The present disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiment; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the data processing process of the skin microcirculation disorder assessment device according to the embodiment of the present disclosure is implemented.

[0131] According to an embodiment of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium. For example, it may include, but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus, or device.

[0132] For example, according to an embodiment of the present disclosure, the computer-readable storage medium may include the ROM 702 and / or the RAM 703 described above and / or one or more memories other than the ROM 702 and the RAM 703 .

[0133] An embodiment of the present disclosure also includes a computer program product, which includes a computer program, which contains program code for executing the method provided by the embodiment of the present disclosure. When the computer program product is run on an electronic device, the program code is used to enable the electronic device to implement the data processing process of the skin microcirculation disorder assessment device provided by the embodiment of the present disclosure.

[0134] When the computer program is executed by the processor 701, the above functions defined in the system / device of the embodiment of the present disclosure are executed. According to the embodiment of the present disclosure, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0135] In one embodiment, the computer program may rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of signals on a network medium, and downloaded and installed through the communication part 709, and / or installed from the removable medium 711. The program code contained 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.

[0136] According to an embodiment of the present disclosure, the program code for executing the computer program provided by the embodiment of the present disclosure can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely 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 (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect through the Internet).

[0137] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. 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 an order different from that 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 a 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 of the present disclosure can be combined and / or combined in a variety of ways, even if such a combination or combination is not explicitly recorded in the present disclosure. In particular, without departing from the spirit and teaching of the present disclosure, the features described in the various embodiments of the present disclosure 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 disclosure.

[0138] The embodiments of the present disclosure are described above. However, these embodiments are only for illustrative purposes and are not intended to limit the scope of the present disclosure. Although the embodiments are described above, this does not mean that the measures in the various embodiments cannot be used in combination to advantage. Without departing from the scope of the present disclosure, those skilled in the art may make a variety of substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. A skin microcirculation disorder assessment device, characterized in that: include: A collection module, used for collecting information to be processed of a target user, wherein the user information includes at least one electrical parameter at a target area of ​​the target user; A preprocessing module, used for generating user statistical information of the electrical parameters according to the electrical parameters; The classification module is used to classify the user statistical information using a microcirculation disorder assessment model to obtain a target classification result, wherein the target classification result represents whether there is a circulation disorder in the skin of the target area.

2. The device according to claim 1, characterized in that The microcirculation disorder assessment model is obtained by training using a training device, and the training device comprises: An acquisition module, configured to acquire a plurality of training information corresponding to different training users, wherein the training information includes training statistical information at a training area of ​​the training user and an evaluation tag corresponding to the training area, wherein the evaluation tag indicates whether there is a circulation disorder on the skin at the training area; A processing module, for inputting the training statistical information into an initial classification model for each of the training information, and outputting a predicted classification result; A training module is used to train the initial classification model according to the predicted classification result and the evaluation label corresponding to the training information to obtain the trained microcirculation disorder evaluation model.

3. The device according to claim 2, characterized in that The training module includes: A first computing unit, configured to generate a target loss value according to the predicted classification result and the evaluation label corresponding to the training information; An adjustment unit is used to iteratively adjust the network parameters of the initial classification model according to the target loss value to obtain the trained microcirculation disorder assessment model.

4. The device according to claim 3, characterized in that The electrical parameter includes at least one of skin resistance data, skin capacitance data, skin conductance data and skin impedance data; Wherein, the preprocessing module includes: A drawing unit, for drawing a data scatter plot according to any skin data in the electrical parameters; A determination unit is used to determine the user statistical information according to the data scatter plot, wherein the user statistical information includes a data average and a data slope corresponding to the skin data.

5. The device according to claim 1, characterized in that The user statistical information includes a data average and a data slope corresponding to the skin data; Wherein, the classification module includes: A first determination unit, configured to determine the data average value based on an average threshold value to obtain a first determination result when there is only one electrical parameter; A second determination unit, configured to determine the data slope based on a slope threshold to obtain a second determination result when the first determination result indicates that the data average value is a first classification mark; The first generating unit is configured to generate a first classification result indicating that there is a circulation disorder in the skin of the target area when the second determination result indicates that the data slope is a second classification mark, wherein the target classification result includes the first classification result.

6. The device according to claim 5, characterized in that Also includes: A second generating unit is configured to generate a second classification result indicating that there is no circulatory disorder in the skin of the target area when the first determination result indicates that the data average value is a third classification mark or the second determination result indicates that the data slope is a fourth classification mark, wherein the target classification result also includes the second classification result.

7. The device according to claim 1, characterized in that The classification module comprises: A sorting unit, used for sorting the plurality of electrical parameters in order of importance when there are multiple electrical parameters, to obtain a sorting result; A third determination unit, configured to perform threshold determination on each electrical parameter in the sorting result in turn based on the sorting result to obtain a third determination result; The third generating unit is used for generating the target classification result indicating that there is a circulation disorder in the skin of the target area when the third determination result indicates that the user information is a fifth classification mark.

8. The device according to claim 5 or 7, characterized in that The classification module also includes: A second calculation unit, configured to calculate, for any of the electrical parameters, a first distance between an average value of data in the electrical parameter and an average threshold value; a third calculation unit, configured to calculate a second distance between a slope of the data in the electrical parameter and a slope threshold; The fourth generating unit is configured to generate a circulatory disorder score according to at least one of the first distances and at least one of the second distances.

9. The device according to claim 8, characterized in that Also includes: A generating module, for generating an evaluation grade of the skin at the target area according to the circulatory disorder score based on a preset grade classification table; The first display module is used to display the evaluation level to the target user.

10. The device according to claim 9, characterized in that Also includes: An extraction module, used for extracting health advice corresponding to the evaluation level from a preset advice list; The second display module is used to display the evaluation level and the health advice in an associated manner.

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