Alzheimer's disease detection method, device, medium, product and system

Abstract

The invention discloses an Alzheimer's disease detection method, device, medium, product and system, and relates to the technical field of medical treatment, the method comprises the following steps: when an Alzheimer's disease detection instruction is received, acquiring the ambient light attribute of the environment where the detection system is located; when the ambient light attribute does not meet the detection condition, adjusting the ambient light, and obtaining the ambient light attribute again until the ambient light attribute meets the detection condition; for each basic color, a color difference grade threshold value which can be identified by the detected person is determined, and the color difference grade threshold value is a color difference grade which can be identified by the detected person; and inputting the ambient light attribute, the personal information of the detected person and the chromatic aberration grade threshold value of the detected person into an Alzheimer's disease risk assessment model, so that the risk assessment model determines the Alzheimer's disease suffering degree. According to the invention, the Alzheimer's disease detection precision is improved.

Description

Technical Field

[0001] The present application relates to the field of medical technology, and in particular to an Alzheimer's disease detection method, device, medium, product and system. Background Art

[0002] With the continuous development of science and technology, it is now possible to use brain imaging, such as magnetic resonance imaging, computerized tomography, etc., to check whether the person being tested has Alzheimer's disease, but the cost of brain imaging is relatively expensive. Furthermore, when doctors use brain imaging to determine whether the person being tested has Alzheimer's disease, they mostly combine their own medical experience to diagnose Alzheimer's disease, and it is difficult for doctors with less medical experience to accurately diagnose Alzheimer's disease.

[0003] In addition, neuropsychological tests can be used to test patients' thinking and memory for a more comprehensive assessment. However, the test usually takes several hours to complete and requires doctors to have extremely high medical qualifications. The test takes a long time and is expensive. It is not suitable for large-scale screening of elderly people with potential Alzheimer's disease. There is also the problem of inaccurate diagnostic results due to human factors.

[0004] From the above content, it can be seen that the existing technology uses brain imaging or psychological testing, which has the problems of high cost, time-consuming, and easy to cause diagnostic errors due to human factors, and is not suitable for large-scale screening. Summary of the invention

[0005] The purpose of this application is to provide an Alzheimer's disease detection method, device, medium, product and system to solve the problems described in the background technology.

[0006] To achieve the above objectives, this application provides the following solutions:

[0007] In a first aspect, the present application provides a method for detecting Alzheimer's disease, comprising:

[0008] When an Alzheimer's disease detection command is received, the ambient light attribute of the environment where the detection system is located is obtained;

[0009] When the ambient light attribute does not meet the detection condition, adjusting the ambient light, and reacquiring the ambient light attribute until the ambient light attribute meets the detection condition;

[0010] For each basic color, determining a color difference level threshold that can be recognized by the subject, wherein the color difference level threshold is a color difference level that can be recognized by the subject;

[0011] The ambient light attributes, the personal information of the subject and the color difference level threshold of the subject are input into an Alzheimer's disease risk assessment model so that the risk assessment model determines the extent to which the subject suffers from Alzheimer's disease.

[0012] Optionally, the ambient light attributes include brightness and spectrum, and the brightness and spectrum are obtained by the following method:

[0013] The brightness property of the environment is detected by a brightness meter and sent to a computer device;

[0014] The spectral properties of the environment are detected by a spectrometer and sent to a computer device.

[0015] Optionally, for any basic color, determining a color difference level threshold recognizable to the subject includes:

[0016] Generate a heterochromatic axis corresponding to a basic color, wherein the basic color is any one of the colors to which Alzheimer's patients are insensitive, and the heterochromatic axis is formed by gradually increasing a blue chromaticity component or a red chromaticity component in a Ycbcr value of the basic color according to a predetermined chromaticity component;

[0017] Calculating Ycbcr values ​​of different colors based on the color difference level, the basic color and the different color axis;

[0018] Based on the YCbcr value of the basic color and the YCbcr value of the different color, the basic color and the different color are filled in a predetermined pattern according to a predetermined arrangement rule to obtain a pattern to be identified, so that the subject can identify the position of the different color in the pattern to be identified;

[0019] When the heterochromatic position is incorrect, the color difference level is increased, and the steps of "based on the color difference level" to "increase the color difference level" are repeatedly executed until the correct heterochromatic position is received, and the color difference level at this time is recorded as the color difference level threshold that can be recognized by the subject.

[0020] Optionally, the computer device obtains the heterochromatic position determined by the subject by the following method:

[0021] Sending the to-be-recognized pattern to a display, so that the display displays the to-be-recognized pattern, thereby allowing the subject to recognize the heterochromatic position through the display;

[0022] The heterochromatic position recognized by the detected person and sent by the human-computer interaction device is received.

[0023] Optionally, after receiving the heterochromatic position recognized by the detected person and sent by the human-computer interaction device, the method further includes:

[0024] Receiving a different color position refresh instruction sent by an operator through a human-computer interaction device;

[0025] In response to the different color position refresh instruction, the position of the different color in the predetermined pattern is changed according to a predetermined different color position change rule to obtain a new pattern to be identified;

[0026] Sending the new pattern to be identified to the display so that the subject can identify the position of the heterochromatic color;

[0027] Receiving a new heterochromatic position sent by an operator through a human-computer interaction device, and determining the correctness of the new heterochromatic position;

[0028] Repeat the steps of "receiving a heterochromatic position refresh instruction sent by an operator through a human-computer interaction device" to "determining the correctness of the new heterochromatic position". When the person being tested gives a correct answer to the heterochromatic position for a predetermined number of consecutive times, it is determined that the heterochromatic position is correctly identified; otherwise, it is determined that the heterochromatic position is incorrectly identified.

[0029] Optionally, for any basic color, the heterochromatic axis is determined by the following method:

[0030] Get the Ycbcr value of the basic color;

[0031] The Ycbcr value of the basic color and the ambient light attribute are sent to a color calculation model, so that the color calculation model outputs a heterochromatic axis of the basic color in a Ycbcr color space.

[0032] In a second aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of any one of the methods described in the first aspect.

[0033] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any one of the methods described in the first aspect.

[0034] In a fourth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of any one of the methods in the first aspect.

[0035] In a fifth aspect, the present application provides an Alzheimer's disease detection system, comprising: a computer device, an ambient light property detection device, a display, a console, an ambient light source, an adjustable light source, and an adjustable shading plate;

[0036] The environmental light source is installed in the system environment where the detection system is placed, and is used to provide light for the system environment;

[0037] The adjustable light source is installed near the display to provide light for the display;

[0038] The ambient light property detection device is communicatively connected to the computer device, is located near the display, and is used to detect the ambient light property of the environment where the display is located, and send the detected ambient light property to the computer device;

[0039] The computer device is used to receive the ambient light attribute and determine whether the ambient light attribute meets the detection condition for detecting Alzheimer's disease; and when the ambient light attribute does not meet the detection condition, send a movement instruction to the adjustable sunshade;

[0040] The adjustable shading plate is in communication with the computer device, and is used to receive the movement instruction and move in response to the movement instruction, thereby changing the light irradiated by the adjustable light source onto the display, and further changing the ambient light property of the display, until the ambient light property meets the detection condition;

[0041] The computer device is also used to determine the basic color and the different colors, and fill the basic color and the different colors into the predetermined graphics, so as to obtain the graphics to be recognized; and send the graphics to be recognized to the display;

[0042] The display is in communication connection with the computer device, and is used to receive and display the to-be-recognized graphic, so that the subject can recognize the different colors in the to-be-recognized graphic through the display, thereby determining the color difference level threshold of the subject;

[0043] The console is communicatively connected with the computer device for performing human-computer interaction and sending the contents input by the operator through the console to the computer device.

[0044] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0045] The present application provides a method, device, medium, product and system for detecting Alzheimer's disease, wherein the method first adjusts the ambient light properties of the environment in which the detection system is located until the ambient light properties meet the detection conditions; when the ambient light properties meet the detection conditions, the color difference level threshold of the person being detected is tested; finally, the ambient light properties, the color difference level threshold and the personal information of the person being detected are sent to a pre-trained Alzheimer's disease detection model to detect the degree of Alzheimer's disease of the person being detected through the model. As for the existing technology, brain imaging is used in combination with neuropsychological testing to detect Alzheimer's disease, but the cost of brain imaging is high, neuropsychological testing takes several hours, and requires doctors to have extremely high medical qualifications. Therefore, the existing technology is costly and time-consuming, and is not suitable for large-scale screening of Alzheimer's disease. Moreover, due to human participation, it is easy for human factors to cause inaccurate test results. The embodiment of the present application takes into account the fact that Alzheimer's patients have decreased color sensitivity. The detection of Alzheimer's disease by the color difference level threshold method is not only low-cost, but also fast, with less human involvement, reducing the problem of low accuracy due to human factors, improving detection accuracy, and being suitable for large-scale screening. Furthermore, in the embodiment of the present application, when using the Alzheimer's disease detection model for detection, the data input to the model includes not only the color difference level threshold and personal information, but also ambient light attributes. Therefore, the present application also takes into account the impact of ambient light on detection accuracy, reduces the impact of ambient light attributes on the detection results, and thus improves detection accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0047] Figure 1 This is a schematic diagram of an Alzheimer's disease detection system in one embodiment of the present application;

[0048] Figure 2 A schematic diagram of a flow chart of a method for detecting Alzheimer's disease provided in one embodiment of the present application;

[0049] Figure 3 A flowchart of a method for determining a color difference level threshold of a subject provided in one embodiment of the present application;

[0050] Figure 4 A schematic diagram of a process of forming a heterochromatic axis provided in one embodiment of the present application;

[0051] Figure 5A schematic diagram of a flow chart of a method for determining heterochromatic Ycbcr provided in an embodiment of the present application;

[0052] Figure 6 A schematic diagram of a heterochromatic axis provided in one embodiment of the present application;

[0053] Figure 7 A schematic diagram of a graphic to be identified provided in another embodiment of the present application;

[0054] Figure 8 A schematic flow chart of a method for receiving a heterochromatic position identified by a subject by a computer device provided in one embodiment of the present application;

[0055] Fig. 9 A schematic diagram of a process for determining whether heterochromatic position recognition is correct or not provided in an embodiment of the present application;

[0056] Fig.10 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0057] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0058] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0059] The present application embodiment provides an Alzheimer's disease detection system, such as Figure 1 As shown, the detection system includes: a computer device, an ambient light property detection device, a display, a console, an ambient light source, an adjustable light source and an adjustable shading plate.

[0060] The environmental light source is installed in the system environment where the detection system is placed, and is used to provide light for the system environment.

[0061] The adjustable light source is installed near the display to provide light for the display.

[0062] The ambient light property detection device is communicatively connected to the computer device, is located near the display, and is used to detect the ambient light properties of the environment where the display is located, and send the detected ambient light properties to the computer device.

[0063] The computer device is used to receive the ambient light attribute and determine whether the ambient light attribute meets the detection condition for detecting Alzheimer's disease; and when the ambient light attribute does not meet the detection condition, send a movement instruction to the adjustable sunshade.

[0064] The adjustable shading plate is communicatively connected to the computer device for receiving the movement instruction and moving in response to the movement instruction, thereby changing the light irradiated by the adjustable light source onto the display, and further changing the ambient light properties of the display until the ambient light properties meet the detection conditions.

[0065] The computer device is also used to determine the basic color and the different colors, and fill the basic color and the different colors into a predetermined graphic to obtain a graphic to be recognized; and send the graphic to be recognized to the display.

[0066] The display is communicatively connected to the computer device, and is used to receive and display the graphics to be identified, so that the subject can identify the different colors in the graphics to be identified through the display, thereby determining the color difference level threshold of the subject.

[0067] The console is communicatively connected with the computer device for performing human-computer interaction and sending the contents input by the operator through the console to the computer device.

[0068] The computer device is also used to determine the degree of Alzheimer's disease of the subject based on the ambient light properties, the personal information of the subject, and the color difference level threshold of the subject.

[0069] Further, see Figure 1 The computer device includes: an ambient light control module, a central processing unit, a data storage module, a data transmission module, a color calculation model and a color difference calculation model.

[0070] The above-mentioned ambient light attribute detection device can send the detected ambient light attributes to the central processor through the data transmission module, so that the central processor determines whether the ambient light attributes meet the detection conditions; and when the ambient light attributes do not meet the detection conditions, the central processor sends an ambient light change instruction to the ambient light control module; the ambient light control module sends a movement instruction to the adjustable shading plate to change the position of the adjustable shading plate, thereby changing the ambient light attributes until the ambient light attributes meet the detection conditions.

[0071] The color calculation module is used to calculate the heterochromatic axis, which is a color axis formed by gradually increasing the blue chromaticity component and the red chromaticity component in the Ycbcr value of any insensitive color according to the predetermined chromaticity component. The insensitive color in this application includes the insensitive color of Alzheimer's patients.

[0072] The color difference calculation module is used to calculate the YCbcr value of the different color based on the different color axis, the basic color and the color difference level.

[0073] The central processing unit is also used to receive control instructions input by the user through the console, such as instructions for adding or subtracting color difference levels and instructions for refreshing different color positions.

[0074] It should be noted here that when the ambient light properties of the environment where the display is located need to be changed, it is achieved by changing the position of the adjustable shading plate, thereby changing the light irradiated by the adjustable light source onto the display, without changing the ambient light source. The ambient light source is a light source that can illuminate the environment where the entire detection system is located, such as indoor ceiling lighting and outdoor sunlight.

[0075] In addition, the adjustable sunshade includes a sunshade body and a moving device. The sunshade body is installed on the moving device to drive the sunshade body to move through the moving device. Therefore, when the computer device sends a movement instruction to the adjustable sunshade, it actually sends it to the mobile device. When the mobile device receives the movement instruction, it executes the movement operation, thereby driving the sunshade body to move.

[0076] Among them, regarding the installation structure or installation method of the ambient light source and the adjustable light source, reference can be made to the installation structure or installation method of the light source in the prior art. The embodiments of the present application do not impose any limitation or detailed description, as long as they can be installed.

[0077] The devices included in the detection system are connected to each other in communication as needed, which may include wired or wireless connections to exchange data.

[0078] Furthermore, the display includes a main display and a sub-display, the main display is used to receive the graphics to be identified sent by the computer device and display them so that medical staff can view the graphics to be identified through the main display; the sub-display is used to receive the graphics to be identified sent by the computer device and display them so that the person being tested can view the graphics to be identified through the sub-display.

[0079] The graphics to be identified are displayed together on the main display and the sub-display, so that medical workers and the subjects can view the graphics to be identified conveniently.

[0080] Furthermore, the ambient light property detection device includes a brightness meter and a spectrometer; the brightness meter is communicatively connected to the computer device to send the detected brightness value to the computer device; the spectrometer is communicatively connected to the computer device to send the detected spectrum value to the computer device.

[0081] Since brightness and spectrum can best reflect the characteristics of light and have a greater impact on the display effect of the display, the present application uses brightness and spectrum as the attributes of ambient light.

[0082] In addition, the computer device may be a terminal device or a server.

[0083] The terminals may be, but are not limited to, various desktop computers, laptops, smart phones, tablet computers, IoT devices and portable wearable devices. IoT devices may be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. Portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. The server may be implemented as an independent server or a server cluster consisting of multiple servers, or a cloud server.

[0084] For more detailed information about the functions and usage of each device in the detection system, please refer to the relevant description in the following method, which will not be described in detail in this application.

[0085] Before introducing the method embodiments of the present application, the relationship between Alzheimer's disease and color is briefly introduced. Alzheimer's patients will experience abnormal changes such as a decrease in the number of ganglion cells, thinning of the nerve fiber layer thickness, reduction in macular volume, and reduction in retinal vascular density, which will manifest as visual field defects, decreased contrast sensitivity to colors, weakened color perception and other symptoms, and neurodegenerative changes will occur. This visual impairment further aggravates the patient's social avoidance and cognitive impairment. On the one hand, visual perception disorders affect the patient's daily living ability and require clinical intervention; on the other hand, visual perception is impaired in the early stages of Alzheimer's disease, so detecting Alzheimer's disease through color difference level thresholds can be used as an early diagnostic indicator for Alzheimer's disease.

[0086] In an exemplary embodiment, Figure 2 As shown, a method for detecting Alzheimer's disease is provided. Figure 1 The computer device in the embodiment of the present invention performs the steps including the following steps 201 to 204:

[0087] Step 201, when an Alzheimer's disease detection instruction is received, the ambient light properties of the environment where the detection system is located are obtained.

[0088] The Alzheimer's disease detection instruction may be input to the computer device by an operator through a user interface. For example, a medical staff or the person being detected may input the instruction to the computer device through a user interface. When the computer device receives the Alzheimer's disease detection instruction, it obtains the ambient light attribute from a predetermined storage location. The user interface here may be the console mentioned below.

[0089] The ambient light attribute can be detected by an ambient light detection device and then sent to a computer device, and the computer device stores it in a predetermined location so that the computer can obtain it in time when receiving an Alzheimer's disease detection instruction.

[0090] It should be noted here that the detection system includes all the equipment required for detection, such as computer equipment, brightness meter, spectrometer, display, adjustable shading plate and adjustable light source. However, during the detection process, the influence of ambient light on the computer, brightness meter, spectrometer, adjustable shading plate, adjustable light source and ambient light source is very small, and the display is used to display graphics for medical staff and the person being tested to view, in order to make the displayed graphics as consistent as possible visually with the theory, the ambient light properties here are mainly to reduce the influence of ambient light on the graphics displayed on the display. Therefore, the ambient light detection equipment is placed close to the display to improve the accuracy of detecting ambient light properties, thereby also improving the accuracy of detecting Alzheimer's.

[0091] After the ambient light attribute is obtained, it is determined whether the ambient light attribute meets the preset detection condition. When the ambient light attribute does not meet the detection condition, step 202 is executed, and when the ambient light attribute meets the detection condition, step 203 is executed.

[0092] In addition, the preset detection conditions are determined in advance through multiple experiments.

[0093] Step 202: When the ambient light attribute does not meet the detection condition, adjust the adjustable light source and the adjustable shading plate to change the ambient light, and reacquire the ambient light attribute until the ambient light attribute meets the detection condition.

[0094] The adjustable light source is a light source with adjustable brightness, which is installed near the display to provide light source for the display.

[0095] Among them, the adjustable shading plate is located near the adjustable light source and is communicatively connected to the computer device, and is used to receive the movement instruction and move in response to the movement instruction, thereby changing the light irradiated by the adjustable light source to the display, and then changing the ambient light properties of the display until the ambient light properties meet the detection conditions.

[0096] Ambient light that meets the detection conditions can improve the detection accuracy, so before each detection, it is necessary to ensure that the ambient light properties meet the detection conditions.

[0097] Step 203: for each basic color, determine a color difference level threshold that can be recognized by the subject, where the color difference level threshold is the color difference level that can be recognized by the subject.

[0098] The color difference level is the level corresponding to the color of different Ycbcr values ​​determined in advance according to the heterochromatic axis.

[0099] The basic color is a color to which Alzheimer's patients are insensitive, and can also be recorded as an insensitive color. There are generally multiple insensitive colors. Since there are multiple basic colors, there are also multiple color difference level thresholds.

[0100] Step 204, inputting the ambient light attribute, the personal information of the subject and the color difference level threshold of the subject into an Alzheimer's disease risk assessment model, so that the risk assessment model determines the degree to which the subject suffers from Alzheimer's disease.

[0101] Even when the ambient light properties meet the detection requirements, they will still affect the detection results. Therefore, the input of the evaluation model includes not only personal information and color difference level threshold, but also ambient light properties to improve the detection accuracy.

[0102] Due to individual differences, such as gender, age, occupation, etc., there will also be differences in color recognition. For example, when the age is older than the predetermined age, the older the age, the weaker the ability to distinguish colors. Therefore, when determining the person to be tested, personal information is also input into the risk assessment model to improve the detection accuracy.

[0103] Among them, the Alzheimer's disease risk assessment model is pre-trained through a deep learning model until the model can accurately assess the degree of Alzheimer's disease. The training of this model is the same as the process of training models in the prior art. For example, the correspondence between the ambient light attributes, the personal information of the person being tested, and the color difference level threshold and the Alzheimer's disease program is collected; the correspondence is then divided into a training set and a test set; the model is trained through the training set to converge the model; the accuracy of the converged model is then tested using the test set; when the accuracy reaches the predetermined requirements, the trained model can be used to detect the degree of Alzheimer's disease; if the accuracy does not meet the requirements, the training is continued until the model accuracy meets the requirements.

[0104] The present application provides a method for detecting Alzheimer's disease through the above-mentioned embodiments. First, the ambient light properties of the environment where the detection system is located are adjusted until the ambient light properties meet the detection conditions; when the ambient light properties meet the detection conditions, the color difference level threshold of the person being detected is tested; finally, the ambient light properties, the color difference level threshold and the personal information of the person being detected are sent to a pre-trained Alzheimer's disease detection model to detect the degree of Alzheimer's disease of the person being detected through the model. As for the prior art, brain imaging is used to detect Alzheimer's disease in combination with neuropsychological testing, but the cost of brain imaging is high, neuropsychological testing takes several hours, and requires doctors to have extremely high medical quality. Therefore, the prior art is costly and time-consuming, and is not suitable for large-scale screening of Alzheimer's disease. Moreover, due to human participation, it is easy for human factors to cause inaccurate test results. The embodiment of the present application takes into account the situation that Alzheimer's patients have decreased color sensitivity. The method of detecting Alzheimer's disease through the color difference level threshold is not only low in cost, but also fast in detection speed, less human participation, and reduces the problem of low accuracy caused by human factors, improves detection accuracy, and is suitable for large-scale screening. Furthermore, in the embodiments of the present application, when using the Alzheimer's disease detection model for detection, the data input to the model includes not only the color difference level threshold and personal information, but also the ambient light attributes. Therefore, the present application also takes into account the influence of ambient light on the detection accuracy, reduces the influence of ambient light attributes on the detection results, and thus improves the detection accuracy.

[0105] In addition, in addition to the methods described in the background technology, the commonly used methods for measuring the degree of Alzheimer's disease in clinical practice include binaural listening and noise speech perception test. However, Alzheimer's patients have cognitive impairments, and the accuracy of auditory perception disorder measurement and noise speech perception test is often affected by the patients' decreased executive ability and poor task coordination. Recently, new methods for measuring the degree of Alzheimer's disease have focused on reducing the impact of patients' executive ability on task performance, but these methods require complex equipment and high-standard acoustic measurement environments, and are not suitable for large-scale screening.

[0106] In the face of today's aging population, the prevalence of Alzheimer's disease is increasing rapidly, so Alzheimer's disease requires a clinically appropriate, simpler detection method that has looser requirements for the measurement environment.

[0107] Through psychological and physical methods, the ability of the visual center to maintain, compare and identify color information can be measured relatively specifically. We chose to measure the key visual perception processing ability in visual scene analysis - color information processing; through neuroelectrophysiological methods, it was proved that the threshold information processing measured by the color difference level threshold is a visual perception processing process, and its measurement is not affected by experience or executive function, and can be used for large-scale screening. The above factors improve the accuracy of visual perception measurement. In addition, it can also be known from experimental data that the color difference level threshold method can measure the decline in color information processing ability caused by aging. Therefore, for the accelerated aging of the human brain caused by cognitive impairment, the color difference level threshold method has the potential to measure the damage to visual perception caused by Alzheimer's disease.

[0108] In addition, the embodiments of the present application can be used alone to conduct a wide range of Alzheimer's disease examinations, or can be used as an auxiliary examination for other examinations to improve the accuracy of Alzheimer's disease degree detection together with other examinations.

[0109] Optionally, in another embodiment of the present application, the ambient light attribute includes brightness and spectrum, and the ambient light attribute is obtained by the following method:

[0110] Step 2011, the brightness attribute of the environment is detected by a brightness meter and sent to a computer device.

[0111] Step 2012: Detect the spectral properties of the environment through a spectrometer and send them to a computer device.

[0112] Since the brightness and spectrum of the environment will affect the display effect of the display, it is necessary to ensure that the brightness and spectrum in the environment meet the detection conditions to improve the detection accuracy.

[0113] After the brightness meter and the spectrometer perform the detection operation, the detection value is sent to the computer device so that the computer device determines whether the ambient light property meets the detection condition.

[0114] Alternatively, see Figure 3 For any basic color, step 203 is implemented by the following steps 2031 to 2034:

[0115] Step 2031: Generate a heterochromatic axis corresponding to a basic color, wherein the basic color is any one of the colors to which Alzheimer's patients are insensitive, and the heterochromatic axis is formed by gradually increasing the blue chromaticity component or the red chromaticity component in the Ycbcr value of the basic color according to a predetermined chromaticity component.

[0116] Among them, the color used to detect the degree of Alzheimer's disease is a color that Alzheimer's patients are insensitive to. In this application, the insensitive color is recorded as an insensitive color, and the insensitive color generally includes multiple colors.

[0117] The insensitive color can be determined through multiple experiments, such as by having a large number of patients with different degrees of Alzheimer's disease recognize all colors for testing, so as to determine the color to which the Alzheimer's disease patients are insensitive. For example, the insensitive color is a color between yellow and green.

[0118] The heterochromatic axis can also be formed by gradually decreasing the blue chromaticity component and the red chromaticity component in the Ycbcr value of the basic color according to the predetermined color difference level, that is, on the heterochromatic axis, the basic color is located at the initial position of the heterochromatic axis. For the convenience of description, this application takes the color difference level reduction and increase as an example. For the situation where the color difference level is gradually reduced, the relevant content of the color difference level gradually increasing can be referred to, and this application will not be described in detail here.

[0119] The predetermined chromaticity component may be determined based on experience. For example, the chromaticity component added between every two adjacent colors on the color axis is 5.

[0120] Each insensitive color corresponds to a heterochromatic axis, the color at the starting position of the color axis is the basic color, and the heterochromatic colors other than the basic color, that is, the more away from the basic color, have a greater chromatic component.

[0121] Therefore, see Figure 4 For a basic color, the heterochromatic axis in step 2031 is determined by the following steps 2031a and 2031b:

[0122] Step 2031a: Get the Ycbcr value of the basic color.

[0123] Step 2031b: Send the Ycbcr value of the basic color and the ambient light attribute to a color calculation model, so that the color calculation model outputs a heterochromatic axis of the basic color in the Ycbcr color space.

[0124] The color calculation model determines the heterochromatic axis through the following process: the Y value remains unchanged; the cb value (or cr value) is gradually increased according to the predetermined blue chromaticity component (or the predetermined red chromaticity component) to obtain the color axis. For a more detailed generation process of the color axis, please refer to the relevant description in the prior art, which will not be described in detail in this application.

[0125] The predetermined blue chromaticity component and the predetermined red chromaticity component are the predetermined chromaticity components mentioned above, which are generally very small so as to determine a color axis with uniform and gradual color change.

[0126] In addition, it should be noted that when determining the color axis, it can be determined only by the predetermined blue chromaticity component or only by the predetermined red chromaticity component, that is, for one basic color, two color axes can be determined, which are respectively recorded as the first color axis and the second color axis. Further, in the present application, when referring to "color axis", it can be one of them, or two in order to improve the detection accuracy of Alzheimer's degree.

[0127] Exemplarily, for step 204 , when there are 8 basic colors, each basic color corresponds to 2 color axes, and the color difference level thresholds in step 204 include 16 in total.

[0128] Step 2032, calculating the Ycbcr value of the heterochromatic color based on the color difference level, the basic color and the heterochromatic color axis.

[0129] Since the basic color is located at the initial position of the heterochromatic axis, the color difference level of the basic color is 0. The color difference level of the heterochromatic color increases in natural numbers starting from 1. The larger the color difference level, the larger the blue chromaticity component or red chromaticity component of the heterochromatic color. For two adjacent color difference levels, multiple predetermined chromaticity components are spanned.

[0130] Among them, when determining the heterochromatic color for the first time, the color difference level is generally selected at a low level, such as level 1 or level 2; if the person being tested cannot recognize the heterochromatic color of the current level, it can be increased step by step or by skipping levels, and the embodiment of the present application does not limit this.

[0131] Among them, when the color difference level is level 1, the color difference between the heterochromatic color and the basic color is the smallest, that is, it is closest to the basic color in visual effect, so it is also the heterochromatic color that is most difficult for the tester to identify. The higher the level, the easier it is to identify.

[0132] In addition, it should be noted that when selecting the color difference level for the first time, you can also start from a high level and gradually decrease the level. The relevant method is similar to selecting a low level first, and will not be described in detail here.

[0133] Alternatively, see Figure 5 , step 2032 is implemented by the following steps 2032a-2032c:

[0134] Step 2032a, obtaining the Ycbcr value of the basic color.

[0135] The Ycbcr value of the basic color is determined in advance by humans, and the Ycbcr value of the basic color is stored in the computer device. Therefore, when the Ycbcr value of the basic color needs to be obtained, it can be directly obtained from the storage location of the computer device.

[0136] Step 2032b, determining the product of the color difference level and the level chromaticity component, and obtaining the level increment value of the chromaticity component between the different color and the basic color, wherein the level chromaticity component is the increment of the chromaticity component between every two adjacent color difference levels.

[0137] The level chromaticity component may also be referred to as a chromaticity component corresponding to a special step distance, where the special step distance is the distance between every two adjacent color difference levels.

[0138] It should be noted that the special step distance can be Euclidean distance, Manhattan distance or cosine distance.

[0139] In addition, for the difference and relationship between the predetermined chromaticity component and the graded chromaticity component on the heterochromatic axis, please refer to Figure 6 , Figure 6 The Arabic numerals in the column indicate the grade.

[0140] Step 2032c, determining the sum of the YCbcr value of the basic color and the level increment value, and obtaining the YCbcr value of the different color.

[0141] It should be noted here that if the computer stores the Ycbcr value of each color difference level, step 2023 can directly obtain the Ycbcr value corresponding to the color difference level from the storage location of the computer device according to the color difference level without recalculating; if the computer device does not store it, execute steps 2032a-step 2032c to calculate the Ycbcr value.

[0142] Step 2033, based on the YCbcr value of the basic color and the YCbcr value of the different color, fill the basic color and the different color in a predetermined pattern according to a predetermined arrangement rule to obtain a pattern to be identified, so that the person being tested can identify the position of the different color in the pattern to be identified.

[0143] The different color position is the position where the different color of the graphic to be identified is located.

[0144] Optionally, the predetermined arrangement rule includes that the number of the base color area blocks is greater than the number of the heterochromatic color area blocks. Further, see Figure 7 The pattern to be identified includes 3 area blocks of the basic color and 1 area block of the different color. Of course, the number of area blocks of the basic color may be less than the number of area blocks of the different color, and this embodiment of the application does not limit this.

[0145] Alternatively, see Figure 8 The computer device obtains the heterochromatic position determined by the subject through the following steps 20331 and 20332:

[0146] Step 20331, sending the pattern to be identified to a display, so that the display displays the pattern to be identified, thereby allowing the person being tested to identify the heterochromatic position through the display.

[0147] After the image to be identified is displayed on the monitor, the person being tested can see the image to be identified through the monitor to determine the position of the heterochromatic color, and send the position of the heterochromatic color to the computer device through a human-computer interaction device, such as a console.

[0148] Optionally, the display includes a main display and a sub-display, and the above step 2034 includes: sending the graphics to be identified to the main display and the sub-display.

[0149] The main display is used for viewing by medical staff, and the secondary display is used for viewing by the person being tested, which improves the convenience of each person using the equipment during the testing process, thereby also improving the testing efficiency.

[0150] Step 20332, receiving the heterochromatic position identified by the detected person sent by the human-computer interaction device.

[0151] When the subject determines which area blocks are heterochromatic areas, the position of the area blocks where the heterochromatic areas are located is sent to the computer device through the human-computer interaction device; the computer device determines whether the recognition result of the subject is correct. When the recognized heterochromatic position is correct, the color difference level at this time is determined to be the recognizable color difference level threshold of the subject on the basic color; when the heterochromatic position is determined to be incorrect, step 2034 is executed.

[0152] Step 2034, when the heterochromatic position is incorrect, increase the color difference level, and repeat the above steps 2032 and 2033 until the correct heterochromatic position is received, and record the color difference level at this time as the color difference level threshold that can be recognized by the subject.

[0153] For each basic color, the corresponding color difference level threshold is calculated according to the method described in steps 2031 to 2034 to obtain the corresponding relationship between the basic color and the color difference level threshold. When executing step 204, all basic colors and the corresponding color difference level thresholds can be sent to the Alzheimer's disease risk assessment model to improve the detection accuracy.

[0154] Alternatively, see Fig. 9 After step 20332, the method further includes steps 20333-20337:

[0155] Step 20333, receiving a different color position refresh instruction sent by the operator through the human-computer interaction device.

[0156] The operator can be a medical staff or the person being tested.

[0157] Step 20334, in response to the different color position refresh instruction, the position of the different color in the predetermined pattern is changed according to a predetermined different color position change rule to obtain a new pattern to be identified.

[0158] Step 20335, sending the new pattern to be identified to the display so that the person being tested can identify the position of the different color.

[0159] After the subject recognizes the position of the heterochromatic color, the position of the heterochromatic color is sent to the computer device again through the human-computer interaction device.

[0160] Step 20336, receiving the new heterochromatic position sent by the operator through the human-computer interaction device, and determining the correctness of the new heterochromatic position.

[0161] Step 20337, repeat the above steps 20333 and 20336. When the subject gives correct answers to the heterochromatic position for a predetermined number of consecutive times, it is determined that the heterochromatic position is correctly identified. Otherwise, it is determined that the heterochromatic position is incorrectly identified.

[0162] For each different color, the above steps 2033 to 2037 can be performed to change the position of the different color multiple times, for example, 3 times, so that the person being tested can determine the position of the different color multiple times to improve the detection accuracy.

[0163] In addition, the embodiments of the present application may also use other color spaces. Since the Ycbcr color space is more suitable for computer device calculations, the present application chooses to use the Ycbcr color space.

[0164] In the Ycbcr color space, the Y value is the brightness channel. In the measurement of the color difference level threshold of the human eye, the heterochromatic color on each heterochromatic axis will gradually change with the test. However, in the process of gradual change of heterochromatic color, the color brightness needs to be controlled to remain unchanged. Therefore, the application uses the Ycbcr color space to facilitate the control of color brightness and prove the difference in human eye perception of color. For the conventional RGB color space, each color channel contains the brightness factor, and it is difficult to control the brightness factor separately.

[0165] In addition, the relevant contents of the method can also be found in the relevant description of the above-mentioned detection system, and this application will not elaborate on it here.

[0166] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Fig.10As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store Alzheimer's disease detection related data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for detecting Alzheimer's disease is implemented.

[0167] Those skilled in the art will understand that Fig.10 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0168] In an exemplary embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0169] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0170] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0171] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0172] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0173] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0174] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0175] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for detecting Alzheimer's disease, characterized in that: Applicable to computer equipment, including: When an Alzheimer's disease detection command is received, the ambient light attribute of the environment where the detection system is located is obtained; When the ambient light attribute does not meet the detection condition, adjusting the ambient light, and reacquiring the ambient light attribute until the ambient light attribute meets the detection condition; For each basic color, determining a color difference level threshold that can be recognized by the subject, wherein the color difference level threshold is a color difference level that can be recognized by the subject; The ambient light attributes, the personal information of the subject and the color difference level threshold of the subject are input into an Alzheimer's disease risk assessment model so that the risk assessment model determines the extent to which the subject suffers from Alzheimer's disease.

2. The method for detecting Alzheimer's disease according to claim 1, characterized in that: The ambient light attributes include brightness and spectrum, and the brightness and spectrum are obtained by the following method: The brightness property of the environment is detected by a brightness meter and sent to a computer device; The spectral properties of the environment are detected by a spectrometer and sent to a computer device.

3. The method for detecting Alzheimer's disease according to claim 1, characterized in that: For any basic color, determining the color difference level threshold that can be recognized by the subject includes: Generate a heterochromatic axis corresponding to a basic color, wherein the basic color is any one of the colors to which Alzheimer's patients are insensitive, and the heterochromatic axis is formed by gradually increasing a blue chromaticity component or a red chromaticity component in a Ycbcr value of the basic color according to a predetermined chromaticity component; Calculating Ycbcr values ​​of different colors based on the color difference level, the basic color and the different color axis; Based on the YCbcr value of the basic color and the YCbcr value of the different color, the basic color and the different color are filled in a predetermined pattern according to a predetermined arrangement rule to obtain a pattern to be identified, so that the subject can identify the position of the different color in the pattern to be identified; When the heterochromatic position is incorrect, the color difference level is increased, and the steps from "based on the color difference level" to "increase the color difference level" are repeated until the correct heterochromatic position is received, and the color difference level at this time is recorded as the color difference level threshold that the subject can recognize.

4. The method for detecting Alzheimer's disease according to claim 3, characterized in that: The computer device obtains the heterochromatic position determined by the subject through the following method: Sending the to-be-recognized pattern to a display, so that the display displays the to-be-recognized pattern, thereby allowing the subject to recognize the heterochromatic position through the display; The heterochromatic position recognized by the detected person and sent by the human-computer interaction device is received.

5. The method for detecting Alzheimer's disease according to claim 4, characterized in that: After receiving the heterochromatic position recognized by the detected person sent by the human-computer interaction device, the method further includes: Receiving a different color position refresh instruction sent by an operator through a human-computer interaction device; In response to the different color position refresh instruction, the position of the different color in the predetermined pattern is changed according to a predetermined different color position change rule to obtain a new pattern to be identified; Sending the new pattern to be identified to the display so that the subject can identify the position of the heterochromatic color; Receiving a new heterochromatic position sent by an operator through a human-computer interaction device, and determining the correctness of the new heterochromatic position; Repeat the steps of "receiving a heterochromatic position refresh instruction sent by the operator through the human-computer interaction device" to "determining the correctness of the new heterochromatic position". When the person being tested gives a correct answer to the heterochromatic position for a predetermined number of consecutive times, it is determined that the heterochromatic position is correctly identified; otherwise, it is determined that the heterochromatic position is incorrectly identified.

6. The method for detecting Alzheimer's disease according to claim 1, characterized in that: For any basic color, the heterochromatic axis is determined as follows: Get the Ycbcr value of the basic color; The Ycbcr value of the basic color and the ambient light attribute are sent to a color calculation model, so that the color calculation model outputs a heterochromatic axis of the basic color in a Ycbcr color space.

7. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the Alzheimer's disease detection method according to any one of claims 1 to 6.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the Alzheimer's disease detection method according to any one of claims 1 to 6 is implemented.

9. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the Alzheimer's disease detection method according to any one of claims 1 to 6 is implemented.

10. An Alzheimer's disease detection system, characterized in that: include: Computer equipment, ambient light property detection equipment, displays, consoles, ambient light sources, adjustable light sources, and adjustable visors; The environmental light source is installed in the system environment where the detection system is placed, and is used to provide light for the system environment; The adjustable light source is installed near the display to provide light for the display; The ambient light property detection device is communicatively connected to the computer device, is located near the display, and is used to detect the ambient light property of the environment where the display is located, and send the detected ambient light property to the computer device; The computer device is used to receive the ambient light attribute and determine whether the ambient light attribute meets the detection condition for detecting Alzheimer's disease; and when the ambient light attribute does not meet the detection condition, sending a movement instruction to the adjustable shading plate; The adjustable shading plate is in communication with the computer device, and is used to receive the movement instruction and move in response to the movement instruction, thereby changing the light irradiated by the adjustable light source onto the display, and further changing the ambient light property of the display, until the ambient light property meets the detection condition; The computer device is also used to determine the basic color and the different colors, and fill the basic color and the different colors into the predetermined graphics, so as to obtain the graphics to be recognized; and send the graphics to be recognized to the display; The display is in communication connection with the computer device, and is used to receive and display the to-be-recognized graphic, so that the subject can recognize the different colors in the to-be-recognized graphic through the display, thereby determining the color difference level threshold of the subject; The console is communicatively connected with the computer device for performing human-computer interaction and sending the contents input by the operator through the console to the computer device.

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