Skin microcirculation disorder assessment device

Abstract

The present disclosure provides a skin microcirculation disorder assessment device, which includes an acquisition module for acquiring information to be processed of a target user, where the user information includes at least one electrical parameter at a target area of the target user; a preprocessing module for generating user statistical information of the electrical parameter according to the electrical parameter; and a classification module for classifying the user statistical information by using a microcirculation disorder assessment model to obtain a target classification result, where the target classification result indicates whether there is a circulation disorder in the skin at the target area.

Description

Technical Field

[0001] The present disclosure relates to the technical field of medical devices, and more particularly, 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 class of clinical diseases involving changes in the morphology, structure, and function of microvessels, and is an important pathological manifestation of many diseases, such as peripheral artery occlusion, diabetic foot, hypertension, etc. As the disease progresses, it will lead to a series of serious problems such as tissue necrosis and non-traumatic amputation. Evaluating skin microcirculation disorder helps in the early detection of diseases and the implementation of surgical intervention to improve the disease process.

[0003] In the process of implementing the concept of the present disclosure, it is found that in the related art, the accuracy of identifying skin microcirculation disorder is 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, including:

[0006] An acquisition module, configured to acquire information to be processed of a target user, where the user information includes at least one electrical parameter at a target area of the target user;

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

[0008] A classification module, configured to perform classification processing on the user statistical information by using a microcirculation disorder assessment model to obtain a target classification result, where the target classification result represents whether there is a circulation disorder in the skin at the 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, configured to acquire a plurality of training information corresponding to different training users, where the training information includes training statistical information at a training area of the training user and an evaluation label corresponding to the training area, and the evaluation label represents whether there is a circulation disorder in the skin at the training area;

[0011] A processing module, configured to, for each of the training information, input the training statistical information into an initial classification model and output a predicted classification result;

[0012] A training module for training the initial classification model according to the above prediction classification results and the above evaluation labels corresponding to the above training information to obtain the trained microcirculation disorder evaluation model.

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

[0014] A first calculation unit for generating a target loss value according to the above prediction classification results and the above evaluation labels corresponding to the above training information;

[0015] An adjustment unit for iteratively adjusting the network parameters of the above initial classification model according to the above target loss value to obtain the trained microcirculation disorder evaluation model.

[0016] According to an embodiment of the present disclosure, the above 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 above preprocessing module includes:

[0018] A plotting unit for plotting a data scatter diagram according to any one of the above skin data in the above electrical parameters;

[0019] A determination unit for determining the above user statistical information according to the above data scatter diagram, where the above user statistical information includes a data average value and a data slope corresponding to the above skin data.

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

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

[0022] A first determination unit for making a determination on the above data average value based on an average threshold to obtain a first determination result when the above electrical parameter is only one kind;

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

[0024] A first generation unit for generating a first classification result indicating that there is a circulatory disorder in the skin at the above target area when the above second determination result indicates that the above data slope is a second classification mark, where the above target classification result includes the above first classification result.

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

[0026] A second generation unit, configured to generate a second classification result indicating that there is no circulatory disorder in the skin at 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 further includes the second classification result.

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

[0028] A sorting unit, configured to sort the importance of a plurality of the electrical parameters when there are multiple electrical parameters, to obtain a sorting result;

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

[0030] A third generation unit, configured to generate the target classification result indicating that there is a circulatory disorder in the skin at 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, configured to calculate a first distance between the data average value and an average threshold in the electrical parameter for any one of the electrical parameters;

[0033] A third calculation unit, configured to calculate a second distance between the data slope and a slope threshold in the electrical parameter;

[0034] A fourth generation unit, configured 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 evaluation device further includes:

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

[0037] A first display module, configured to display the evaluation grade to the target user.

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

[0039] An extraction module, configured to extract health suggestions corresponding to the evaluation grade from a preset suggestion list;

[0040] A second display module, configured to associatively display the evaluation grade and the health suggestions.

[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 are caused to implement the data processing process of the skin microcirculation disorder evaluation device.

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

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

[0047] According to an embodiment of the present disclosure, the to-be-processed information of the target user is collected by the collection module, and the user statistical information of the electrical parameters is generated by the preprocessing module according to the electrical parameters. Thereafter, the user statistical information is classified by the microcirculation disorder evaluation model in the classification module to obtain a target classification result indicating whether there is a circulatory disorder in the skin at the target area. The skin microcirculation disorder evaluation device of the present disclosure realizes the identification of circulatory disorders based on electrical parameters and the microcirculation disorder evaluation model, improving the identification accuracy and efficiency of skin microcirculation disorders. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Through the following description of the embodiments of the present disclosure with reference to the drawings, the above and other objects, features and advantages of the present disclosure will become clearer. In the drawings:

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

[0050] Figure 2 Schematically shows a block diagram of a training device according to an embodiment of the present disclosure;

[0051] Figure 3 Schematically shows a bar graph of conductance values before and after surgery for affected and non-affected areas of microcirculation disorders according to the present disclosure;

[0052] Figure 4 Schematically shows a data fitting diagram according to an embodiment of the present disclosure;

[0053] Figure 5 Schematically shows an asymmetry angle diagram of the affected area and non - affected area of microcirculation disorders according to an embodiment of the present disclosure;

[0054] Figure 6 Schematically shows a structural schematic diagram of a decision - making model according to an embodiment of the present disclosure; and

[0055] Figure 7 Schematically shows a block diagram of an electronic device suitable for implementing the data processing process of the skin microcirculation disorder evaluation device described above according to an embodiment of the present disclosure. Detailed implementation manners

[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 merely exemplary and are not intended to limit the scope of the present disclosure. In the following detailed description, for the sake of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, obviously, one or more embodiments can also be implemented without these specific details. In addition, in the following description, descriptions of well - known structures and technologies are omitted to avoid unnecessarily confusing 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 "including", "comprising", etc. used herein indicate the presence of the described features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0058] All terms used herein (including technical and scientific terms) 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] In the case of using expressions such as "at least one of A, B, and C, etc.", generally, it should be interpreted according to the meaning commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include, but not be limited to, a system having only A, only B, only C, having A and B, having A and C, having B and C, and / or having A, B, and C, etc.).

[0060] In the embodiments of the present disclosure, in aspects such as the collection, update, analysis, processing, use, transmission, provision, disclosure, storage, etc. of the involved data (for example, including but not limited to user personal information), it complies with the provisions of relevant laws and regulations, is used for legal purposes, and does not violate public order and good customs. In particular, necessary measures are taken for user personal information to prevent illegal access to user personal information data and to safeguard user personal information security and network security.

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

[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] As Figure 1 shown, the skin microcirculation disorder assessment device 100 includes:

[0064] An acquisition module 110, configured to acquire information to be processed of a target user, where 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 parameter according to the electrical parameter;

[0066] A classification module 130, configured to perform classification processing on the user statistical information by using a microcirculation disorder assessment model to obtain a target classification result, where the target classification result indicates whether there is a circulation disorder in the skin at the target area.

[0067] According to an embodiment of the present disclosure, the target user may be a medical patient, and the target area may be the affected limb. The user statistical information may be information calculated by mathematical statistical methods.

[0068] According to an embodiment of the present disclosure, the electrical parameter may use a voltage excitation of a certain frequency, and methods such as the two-electrode method are used to measure the parameter values of the target user under different conditions. For example, a multi-channel electrode array may be selected 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 may calculate the user statistical information of the electrical parameter, input the user statistical information into the classification module, and thus the classification module may perform classification processing on the user statistical information by using the microcirculation disorder assessment model to obtain a target classification result, and it can be seen from the target classification result whether there is a skin microcirculation disorder at the target area of the target user.

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

[0071] Figure 2 Schematically shows a block diagram of a training device according to an embodiment of the present disclosure.

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

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

[0074] A processing module 220, configured to input the training statistical information into the initial classification model for each piece of training information, and output a predicted classification result;

[0075] A training module 230, configured 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, first, the electrical parameters of the training user are acquired, 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 a predicted classification result, and the initial classification model is iteratively adjusted according to the evaluation label and the predicted classification result of the training statistical information, 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 calculation 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 configured to iteratively adjust network parameters of the initial classification model according to the target loss value, so as to obtain the trained microcirculation disorder evaluation model.

[0081] According to an embodiment of the present disclosure, the target loss value can be calculated by a binary classification loss function, where the binary classification loss function can be functions such as binary cross-entropy loss, hinge loss, squared hinge loss, Sigmoid loss function, BCELoss, etc.

[0082] Figure 3 Schematically shows a bar graph of conductance values before and after surgery for the affected and non-affected areas of microcirculation disorders according to the present disclosure. Figure 4 Schematically shows a data fitting schematic diagram according to an embodiment of the present disclosure. Figure 5 Schematically shows an asymmetry angle graph of the affected and non-affected areas of microcirculation disorders according to an embodiment of the present disclosure.

[0083] According to an embodiment of the present disclosure, the electrical parameters include 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 plotting unit is configured to plot a data scatter plot for any skin data among the electrical parameters according to the skin data;

[0086] A determining unit is configured to determine the user statistical information according to the data scatter plot, where the user statistical information includes a data average value and a data slope corresponding to the skin data.

[0087] In a specific embodiment, the conductance value (i.e., skin conductance data) of the target area is repeatedly measured. Among them, the conductance values of the healthy and diseased limbs before and after surgical intervention, and under the conditions of with or without wounds are different, as Figure 3 shown. After obtaining the conductance values, they are sorted in ascending order to be used as the horizontal and vertical coordinates in the data scatter plot. Based on this data scatter plot, the data average value is calculated, and at the same time, linear fitting is performed on it to obtain a data slope as shown in Figure 4 shown.

[0088] According to an embodiment of the present disclosure, the data slope can be calculated by least squares linear fitting. Among them, by comparing the slopes, the diseased (i.e., there is a circulatory disorder) position and the healthy (i.e., there is no circulatory disorder) position can be distinguished, as Figure 5 shows the angular distribution differences between the healthy and diseased groups.

[0089] Figure 6 Schematically shows a structural schematic diagram of a decision model according to an embodiment of the present disclosure.

[0090] According to an embodiment of the present disclosure, the user statistical information includes a data average value 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 when there is only one type of electrical parameter, so as to obtain a first determination result;

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

[0094] A first generation unit, configured to generate a first classification result indicating that there is a circulatory disorder in the skin at the target area when the second determination result indicates that the data slope is a second classification mark, where the target classification result includes the first classification result.

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

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

[0097] According to an embodiment of the present disclosure, first, the data average value is classified based on the average threshold at the root node, thereby obtaining a first determination result. If the result determines that it belongs to "possibly having a circulatory disorder", the data slope is continuously determined based on the slope threshold, thereby obtaining a second determination result. If the result determines that it belongs to "having a circulatory disorder", it can be determined that there is a circulatory disorder in the skin at the target area of the target user.

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

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

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

[0101] According to an embodiment of the present disclosure, both the third classification marker and the fourth classification marker may refer to "no circulatory disorder".

[0102] According to an embodiment of the present disclosure, during the determination process of 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", 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, configured to sort the importance of a plurality of the electrical parameters when there are multiple types of the electrical parameters, to obtain a sorting result;

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

[0106] A third generation unit, configured to generate the target classification result indicating that there is a circulatory disorder in the skin at the target area when the third determination result indicates that the user information is a fifth classification marker.

[0107] According to an embodiment of the present disclosure, the importance of the parameters can be set by the staff. For example, the importance sorting is: skin resistance data, skin capacitance data, skin conductance data, and skin impedance data. The fifth classification marker may also refer to "there is a circulatory disorder".

[0108] According to an embodiment of the present disclosure, when there are multiple types of electrical parameters, classification can be performed according to each type (i.e., the determination process of the data average value or the data slope described above) until the third determination result is obtained, unless it shows that it belongs to "no circulatory disorder" during the determination process of any type of parameter.

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

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

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

[0112] A fourth generation unit, 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, the circulatory disorder score may be calculated based on the weights among different electrical parameters, data averages, and data slopes. Among them, the larger the circulatory disorder score, the healthier or more severe it indicates.

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

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

[0117] A first display module, configured to display the evaluation grade to the target user.

[0118] According to an embodiment of the present disclosure, the preset grade classification table includes a plurality of different score intervals, and each score interval corresponds to an evaluation grade. For example, the score interval 80-100 corresponds to the evaluation grade "severe circulatory disorder". After determining the evaluation grade, it can be displayed using the first display module (such as a display).

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

[0120] An extraction module, configured to extract health suggestions corresponding to the evaluation grade from a preset suggestion list;

[0121] A second display module, configured to display the evaluation grade and the health suggestions in association.

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

[0123] Any of the modules and units according to the embodiments of the present disclosure, or at least part of the functions of any of them, may be implemented in one module. Any one or more of the modules and units according to the embodiments of the present disclosure may be split into multiple modules for implementation. Any one or more of the modules and units according to the embodiments of the present disclosure may 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 may be implemented by any other reasonable way of integrating or packaging circuits, or in any one of the three implementation manners of software, hardware, and firmware, or in an appropriate combination of any several of them. Alternatively, one or more of the modules and units according to the embodiments of the present disclosure may be at least partially implemented as a computer program module, and when the computer program module is run, the corresponding functions may 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, the training module 230 may be combined and implemented in one module / unit, or any one of the modules / units may be split into multiple modules / units. Alternatively, at least part of the functions of one or more of these modules / units may be combined with at least part of the functions of other modules / units and implemented in one module / unit. According to the embodiments 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, the training module 230 may 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 may be implemented by any other reasonable way of integrating or packaging circuits, or in any one of the three implementation manners of software, hardware, and firmware, or in an appropriate combination of any several of them. Alternatively, 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, the training module 230 may be at least partially implemented as a computer program module, and when the computer program module is run, the corresponding functions may be executed.

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

[0126] As shown Figure 7 As shown in FIG. Figure 7 , 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 section 708 into a random access memory (RAM) 703. The processor 701 may include, for example, a general-purpose microprocessor (e.g., CPU), an instruction set processor, and / or a related chipset, and / or a dedicated microprocessor (e.g., an application-specific integrated circuit (ASIC)), and so on. The processor 701 may also include on-board 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 the RAM 703, various programs and data required for the operation of the electronic device 700 are stored. The processor 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. The processor 701 performs various operations of the method flow according to an embodiment of the present disclosure by executing the program in the ROM 702 and / or the RAM 703. It should be noted that the program may also be stored in one or more memories other than the ROM 702 and the RAM 703. The processor 701 may also perform various operations of the method flow according to an 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, and the input / output (I / O) interface 705 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 section 706 including a keyboard, a mouse, etc.; an output section 707 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 708 including a hard disk, etc.; and a communication section 709 including a network interface card such as a LAN card, a modem, etc. The communication section 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 from it can be installed into the storage section 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 embodiments of the present disclosure can be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product that includes a computer program carried on a computer-readable storage medium, and the computer program includes 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 a network through a communication part 709, and / or installed from a removable medium 711. When the computer program is executed by a processor 701, the above-described functions defined in the system of the embodiments of the present disclosure are executed. According to an embodiment of the present disclosure, the above-described systems, devices, apparatuses, modules, units, etc. can be implemented by computer program modules.

[0130] The present disclosure also provides a computer-readable storage medium, which can be included in the device / apparatus / system described in the above embodiments; or can exist alone 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 embodiments of the present disclosure is implemented.

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

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

[0133] Embodiments of the present disclosure also include a computer program product that includes a computer program, and the computer program includes program code for executing the method provided by the embodiments of the present disclosure. When the computer program product runs on an electronic device, the program code is used to cause the electronic device to implement the data processing process of the skin microcirculation disorder assessment device provided by the embodiments of the present disclosure.

[0134] When the computer program is executed by the processor 701, the above functions defined in the system / apparatus of the embodiments of the present disclosure are executed. According to the embodiments of the present disclosure, the above-described systems, apparatuses, modules, units, etc. can be implemented by computer program modules.

[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 be downloaded and installed through the communication part 709, and / or be installed from the removable medium 711. The program code included in the computer program can be transmitted by any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0136] According to the embodiments of the present disclosure, the program code for executing the computer program provided by the embodiments 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 procedures and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages include but are not limited to, such as Java, C++, python, the "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 a remote computing device, or entirely on a 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 (e.g., by connecting through an Internet service provider via the Internet).

[0137] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a portion of code that contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions noted in the blocks may occur in a different order than noted in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram or flowchart, and combinations of blocks in the block diagram or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or by a combination of dedicated hardware and computer instructions. Those skilled in the art will appreciate that the features described in the various embodiments of the present disclosure can be combined and / or combined in a variety of ways, even if such combinations or combinations are not explicitly described in the present disclosure. In particular, without departing from the spirit and teachings of the present disclosure, the features described in the various embodiments of the present disclosure can be combined and / or combined in a variety of ways. All such combinations and / or combinations fall within the scope of the present disclosure.

[0138] The embodiments of the present disclosure have been described above. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments have been described separately above, this does not mean that the measures in each embodiment cannot be used advantageously in combination. Without departing from the scope of the present disclosure, those skilled in the art can make various substitutions and modifications, and all such substitutions and modifications should 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 information to be processed includes at least one electrical parameter at a target area of ​​the target user, and the electrical parameter includes at least one of skin resistance data, skin capacitance data, skin conductance data and skin impedance data; A preprocessing module, configured to generate user statistical information of the electrical parameters according to the electrical parameters, wherein the user statistical information includes a data average value and a data slope corresponding to the skin data; A classification module, 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; 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.

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 preprocessing module comprises: 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 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.

6. The device according to claim 1, characterized in that The classification module also includes: 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 information to be processed is a fifth classification mark.

7. The device according to claim 1 or 6, 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.

8. The device according to claim 7, 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.

9. The device according to claim 8, 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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