A method, device, equipment and medium for determining a brain target point of cognitive impairment

Abstract

The embodiment of the specification discloses a cognitive impairment brain target determination method, device, equipment and medium, comprising: acquiring each segmentation region corresponding to a brain heat region image determined in advance; acquiring temperature data and electroencephalogram signal data in each segmentation region during a pre-set cognitive impairment training process of a subject, the temperature data comprising temperature values of each measurement point in each segmentation region, and the electroencephalogram signal data comprising electroencephalogram signal values of each measurement point in each segmentation region; determining a first correlation coefficient between the temperature data and the electroencephalogram signal data in each segmentation region; setting a segmentation region with a first correlation coefficient greater than a first preset value as a cognitive impairment brain target region; determining a second correlation coefficient between the temperature values and the electroencephalogram signal values of each measurement point in the cognitive impairment brain target region; and setting a measurement point with a second correlation coefficient greater than a second preset value as a cognitive impairment brain target point.

Description

Technical Field

[0001] This specification relates to the field of computer technology, specifically to the field of smart healthcare technology, particularly to the field of cognitive impairment, and especially to a method, apparatus, device, and medium for determining brain targets in cognitive impairment. Background Technology

[0002] Transcranial microcurrent stimulation therapy is a treatment method completely different from traditional drug therapy and electroconvulsive therapy. It uses low-intensity microcurrents to stimulate the brain, change the abnormal brain waves of the patient, and promote the secretion of a series of neurotransmitters and hormones that are closely related to cognitive impairment, thereby achieving the treatment of cognitive impairment.

[0003] Currently, when transcranial microcurrent stimulation therapy is used in clinical practice, it mainly stimulates large areas, such as the frontotemporal region, without precisely locating the lesion, and therefore cannot provide precise treatment for cognitive impairment. Summary of the Invention

[0004] This specification provides one or more embodiments of a method, apparatus, device, and medium for determining brain targets in cognitive impairment, to address the technical problems raised in the background art.

[0005] One or more embodiments of this specification employ the following technical solutions:

[0006] This specification provides a method for identifying brain targets in cognitive impairment according to one or more embodiments, comprising:

[0007] Obtain the segmented regions corresponding to the pre-determined brain thermal zone image;

[0008] During the pre-set cognitive impairment training process, temperature data and EEG signal data are acquired in each segmented region. The temperature data includes the temperature value of each measurement point in each segmented region, and the EEG signal data includes the EEG signal value of each measurement point in each segmented region.

[0009] Determine the first correlation coefficient between temperature data and EEG signal data in each segmented region;

[0010] The segmented regions with a first correlation coefficient greater than a first preset value are set as brain target areas for cognitive impairment;

[0011] In the brain target area of ​​the cognitive impairment, a second correlation coefficient between the temperature value and the EEG signal value at each measurement point was determined;

[0012] Measurement points with a second correlation coefficient greater than a second preset value are set as brain targets for cognitive impairment.

[0013] Optionally, during the pre-set cognitive impairment training process for the test subject, acquiring temperature data and electroencephalogram (EEG) signal data in each segmented region includes:

[0014] During the cognitive impairment training conducted by the subject wearing virtual reality equipment, EEG signal data at different times in each segmented region were acquired using an EEG device, and temperature data at different times in each segmented region were acquired using a brain thermal imaging device; wherein...

[0015] The virtual reality device displays content related to cognitive impairment training to the test subject through an optical lens, a data processing chip, and a microphone.

[0016] The EEG device collects the EEG signal data of the subject through multi-channel electrodes;

[0017] The brain thermal imaging device collects the subject's temperature data using an infrared sensor.

[0018] Optionally, after setting the measurement points with the second correlation coefficient greater than the second preset value as brain target points for cognitive impairment, the method further includes:

[0019] Obtain cognitive impairment results from pre-determined test subjects;

[0020] Based on the cognitive impairment results, a cognitive impairment training program is determined, along with electrical stimulation of preset frequency and intensity.

[0021] During the cognitive impairment training program, electrical stimulation is applied to the target brain points.

[0022] Optionally, the electrical stimulation of the brain target includes:

[0023] The brain target is electrically stimulated by an electroencephalogram (EEG) device, wherein the EEG device releases electrical stimulation through electrodes.

[0024] Optionally, determining the first correlation coefficient between the temperature data and the EEG signal data in each segmented region includes:

[0025] Based on the changes in temperature data and EEG signal data at different times in each segmented region, a first correlation coefficient between temperature data and EEG signal data at different times in each segmented region is determined.

[0026] Optionally, determining the second correlation coefficient between the temperature values ​​and EEG signal values ​​at each measurement point in the brain target area of ​​the cognitive impairment includes:

[0027] In the brain target area of ​​the cognitive impairment, a second correlation coefficient between the temperature value and the EEG signal value at each measurement point is determined based on the changes in temperature value and EEG signal value at each measurement point.

[0028] Optionally, before acquiring the segmented regions corresponding to the predetermined brain heat zone image, the method further includes:

[0029] The brain heat region image is segmented using a graph clustering algorithm to obtain the corresponding segmented regions.

[0030] This specification provides one or more embodiments of a brain target identification device for cognitive impairment, the device comprising:

[0031] The segmentation region acquisition unit acquires each segmentation region corresponding to a pre-determined brain heat zone image;

[0032] The data acquisition unit acquires temperature data and electroencephalogram (EEG) signal data in each segmented region during the subject's pre-set cognitive impairment training process. The temperature data includes the temperature values ​​of each measurement point in each segmented region, and the EEG signal data includes the EEG signal values ​​of each measurement point in each segmented region.

[0033] The region correlation coefficient determination unit determines the first correlation coefficient between temperature data and EEG signal data in each segmented region;

[0034] The target area setting unit sets the segmented region with a first correlation coefficient greater than a first preset value as the brain target area of ​​cognitive impairment;

[0035] The measurement point correlation coefficient determination unit determines the second correlation coefficient between the temperature value and the EEG signal value at each measurement point in the brain target area of ​​the cognitive impairment.

[0036] The target setting unit sets measurement points with a second correlation coefficient greater than a second preset value as brain targets for cognitive impairment.

[0037] This specification provides one or more embodiments of a brain target identification device for cognitive impairment, comprising:

[0038] At least one processor; and,

[0039] A memory communicatively connected to the at least one processor; wherein,

[0040] The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enable the at least one processor to:

[0041] Obtain the segmented regions corresponding to the pre-determined brain thermal zone image;

[0042] During the pre-set cognitive impairment training process, temperature data and EEG signal data are acquired in each segmented region. The temperature data includes the temperature value of each measurement point in each segmented region, and the EEG signal data includes the EEG signal value of each measurement point in each segmented region.

[0043] Determine the first correlation coefficient between temperature data and EEG signal data in each segmented region;

[0044] The segmented regions with a first correlation coefficient greater than a first preset value are set as brain target areas for cognitive impairment;

[0045] In the brain target area of ​​the cognitive impairment, a second correlation coefficient between the temperature value and the EEG signal value at each measurement point was determined;

[0046] Measurement points with a second correlation coefficient greater than a second preset value are set as brain targets for cognitive impairment.

[0047] This specification provides one or more embodiments of a non-volatile computer storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured as follows:

[0048] Obtain the segmented regions corresponding to the pre-determined brain thermal zone image;

[0049] During the pre-set cognitive impairment training process, temperature data and EEG signal data are acquired in each segmented region. The temperature data includes the temperature value of each measurement point in each segmented region, and the EEG signal data includes the EEG signal value of each measurement point in each segmented region.

[0050] Determine the first correlation coefficient between temperature data and EEG signal data in each segmented region;

[0051] The segmented regions with a first correlation coefficient greater than a first preset value are set as brain target areas for cognitive impairment;

[0052] In the brain target area of ​​the cognitive impairment, a second correlation coefficient between the temperature value and the EEG signal value at each measurement point was determined;

[0053] Measurement points with a second correlation coefficient greater than a second preset value are set as brain targets for cognitive impairment.

[0054] The above-described at least one technical solution adopted in the embodiments of this specification can achieve the following beneficial effects:

[0055] During cognitive impairment training, the target area of ​​the subject's brain is determined by the first correlation coefficient between the acquired temperature data and EEG signal data. Temperature values ​​and EEG signals are acquired at each measurement point in the target area, and the target point of the brain is determined by the second correlation coefficient between the temperature value and EEG signal at each measurement point, so as to provide better data for subsequent treatment. Attached Figure Description

[0056] To more clearly illustrate the technical solutions in the embodiments or prior art of this specification, the drawings used in the description of the embodiments or prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings:

[0057] Figure 1 A flowchart illustrating a method for identifying brain targets in cognitive impairment, provided for one or more embodiments of this specification;

[0058] Figure 2 This is a schematic diagram of the location distribution of electroencephalogram (EEG) signal data provided in one or more embodiments of this specification;

[0059] Figure 3 A real-world interactive diagram illustrating brain stimulation for cognitive impairment provided in one or more embodiments of this specification;

[0060] Figure 4 A schematic diagram of a brain target determination device for cognitive impairment provided in one or more embodiments of this specification;

[0061] Figure 5 This is a schematic diagram of a brain target determination device for cognitive impairment provided for one or more embodiments of this specification. Detailed Implementation

[0062] This specification provides a method, apparatus, device, and medium for determining brain targets in cognitive impairment.

[0063] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0064] Figure 1This diagram illustrates a flowchart of a method for identifying brain targets in cognitive impairment, provided for one or more embodiments of this specification. This process can be executed by a system for identifying brain targets in cognitive impairment. Certain input parameters or intermediate results in the process can be manually adjusted to help improve accuracy.

[0065] The method flow steps of the embodiments in this specification are as follows:

[0066] S102, acquire each segmented region corresponding to the pre-determined brain heat zone image.

[0067] In the embodiments of this specification, the brain heat zone image can be segmented according to the graph clustering algorithm to obtain each segmented region corresponding to each time.

[0068] Among these methods, brain thermal imaging can be achieved by using a brain thermal imaging device and an infrared sensor to capture images of the subject's brain temperature. A graph clustering algorithm processes the brain temperature images captured by the brain thermal imaging device at different times to obtain segmented regions related to temperature changes.

[0069] It should be noted that each segmented region can correspond to a brain functional area, which may include the visual area, motor function area, auditory area, emotional area, etc. In addition, the embodiments of this specification can also directly use the pre-divided brain functional areas to determine the segmented regions corresponding to the brain heat area image.

[0070] S104, during the subject's pre-set cognitive impairment training, acquire temperature data and EEG signal data in each segmented region. The temperature data includes the temperature value of each measurement point in each segmented region, and the EEG signal data includes the EEG signal value of each measurement point in each segmented region.

[0071] In the embodiments of this specification, during the cognitive impairment training process when the subject wears a virtual reality device, EEG signal data at different times in each segmented region can be obtained through an EEG device, and temperature data at different times in each segmented region can be obtained through a brain thermal imaging device.

[0072] The virtual reality device can display content related to the cognitive impairment training to the subject through optical lenses, data processing chips, and microphones. The electroencephalogram (EEG) device can collect the subject's electroencephalogram (EEG) signal data through multi-channel electrodes. The brain thermal imaging device can collect the subject's temperature data through an infrared sensor.

[0073] It should be noted that the number of measurement points in each segmented area can be obtained according to preset requirements.

[0074] S106, determine the first correlation coefficient between the temperature data and EEG signal data in each segmented region.

[0075] In the embodiments of this specification, a first correlation coefficient between the temperature data and EEG signal data at different times in each segmented region can be determined based on the changes in temperature data and EEG signal data at different times in each segmented region. For example, if the temperature data and EEG signal data at different times in each segmented region show an increasing or decreasing trend, the first correlation coefficient between the temperature data and EEG signal data at different times in each segmented region can be determined.

[0076] It should be noted that when determining the first correlation coefficient between temperature data and EEG signal data at different times in each segmented region, existing correlation coefficient calculation formulas can be used.

[0077] S108, the segmented region with a first correlation coefficient greater than a first preset value is set as the brain target region of cognitive impairment.

[0078] In the embodiments of this specification, based on experimental experience with brain activity levels, temperature, and electroencephalogram (EEG) signals, brain temperature data and EEG signal data are collected simultaneously, and a first correlation coefficient analysis is performed on the two sets of data. The first preset value is 0.6 (the first correlation coefficient is 0.6), and the selected brain target area can be identified as an effective area for stimulation targeting cognitive impairment.

[0079] S110, determine a second correlation coefficient between the temperature value and the EEG signal value at each measurement point in the brain target area of ​​the cognitive impairment.

[0080] In the embodiments of this specification, after identifying the brain target area, it is necessary to further identify the brain target points within the brain target area. This allows for better electrical stimulation during subsequent transcranial microcurrent stimulation therapy, resulting in better treatment outcomes. Before identifying the brain target points, a second correlation coefficient between the temperature values ​​and EEG signal values ​​at each measurement point can be determined within the brain target area of ​​the cognitive impairment, based on the changes in temperature values ​​and EEG signal values ​​at each measurement point.

[0081] Furthermore, a second correlation coefficient can be determined between the temperature values ​​and EEG signal values ​​at different measurement points at different times based on the changes in these values. For example, if the temperature values ​​and EEG signal values ​​at different measurement points show an increasing or decreasing trend, the second correlation coefficient between the temperature values ​​and EEG signal values ​​at different measurement points at different times can be determined.

[0082] S112, the measurement points with a second correlation coefficient greater than the second preset value are set as brain targets of cognitive impairment.

[0083] In the embodiments of this specification, brain targets can be applied to transcranial microcurrent stimulation therapy, resulting in better therapeutic effects of transcranial microcurrent stimulation therapy.

[0084] In the embodiments of this specification, after the brain target is set, the cognitive impairment results of the subject can be obtained in advance; a cognitive impairment training program and an electrical stimulation with a preset frequency and intensity can be determined based on the cognitive impairment results; and the electrical stimulation is applied to the brain target when the subject performs the cognitive impairment training program.

[0085] In the embodiments of this specification, the brain target can be electrically stimulated by an electroencephalography (EEG) device. The EEG device releases electrical stimulation through electrodes to inhibit the electrical impulses of neurons that are overexcited due to a reduction in dopaminergic neurons, thereby reducing their overexcitation state and alleviating the symptoms of cognitive impairment, such as Parkinson's disease symptoms.

[0086] Furthermore, the implementation process of the embodiments in this specification can be as follows:

[0087] 1) The test subject wears a cognitive impairment brain stimulation system. The test subject can be a patient receiving treatment, including: virtual reality equipment, EEG equipment (collecting electrical signals), brain thermal imaging equipment (displaying the temperature of each area), and EEG stimulation equipment.

[0088] Virtual reality devices: Virtual reality devices use optical lenses, data processing chips, and microphones to display 3D images and sound effects to the test subject.

[0089] EEG parameter acquisition equipment (i.e., EEG device): acquires the subject's EEG signals through multi-channel electrodes and displays the subject's EEG. Figure 2 This is a schematic diagram showing the location distribution of EEG signal data.

[0090] Brain thermal imaging equipment: It uses infrared sensors to collect data on the temperature changes of the subject.

[0091] Electroencephalography (EEG) devices: Through electrodes, high-frequency electrical stimulation is released to inhibit the electrical impulses of neurons that are overexcited due to a reduction in dopaminergic neurons, thereby reducing their overexcitation state and alleviating Parkinson's disease symptoms.

[0092] 2) After the doctor makes a preliminary diagnosis of the test subject, the parameters and functions of the cognitive impairment brain stimulation system are adjusted. After adjustment, the test subject will wear the cognitive impairment brain stimulation system for testing and training adaptation.

[0093] Parameters: video demonstration training difficulty (easy, medium, hard), video demonstration training duration (2 minutes - 2 hours), EEG signal (chart), brain thermal imaging parameters (temperature value), EEG stimulation location, stimulation intensity, stimulation frequency.

[0094] Functions: Video demonstration training, parameter acquisition (EEG signal data, brain thermal zones), brain stimulation.

[0095] 3) See Figure 3 The diagram illustrates a real-world interactive brain stimulation system for cognitive impairment. In this system, the subject imitates pre-programmed 3D training movements. Simultaneously, the system collects EEG signal data and temperature data via an EEG parameter acquisition device and a brain thermal imaging device. The system uses a graph clustering algorithm (SCAN) to segment the brain thermal image, calculate the temperature value of each segment, and compare the temperature value with the electrical signals collected by the EEG device. If both sets of data show a linear increase or decrease, the region is identified as the target area. Alternatively, the brain thermal imaging data and EEG signal data are combined for analysis. Data from the brain thermal area and the corresponding brain regions on the EEG electrodes are compared. The comparison method is to check the first correlation coefficient between the two sets of data. If the first correlation coefficient is greater than or equal to 0.6 (range 0-1), the region is identified as the target area.

[0096] Then, the target site is determined within the target area. The rule for determining the target site is: once the target area is determined, if the second correlation coefficient of the continuous monitoring parameter between the electrode and the temperature value in the target area is greater than or equal to 0.8 (range 0-1), that point is determined as the target site. After the system determines the target site, it executes the system operation according to the stimulation frequency and intensity manually input by the doctor, applying current to the target site. The subject imitates the training movements and electrical stimulation of the target site through the current application, initiating the effect of cognitive rehabilitation. After the doctor observes the fit, the subject can take the cognitive impairment brain stimulation system home for training.

[0097] 4) The test subject returns home and trains according to the parameters and cycle adjusted by the doctor. After the periodic training is completed, the test subject goes to the doctor for a follow-up examination.

[0098] Figure 4 This is a schematic diagram of a brain target determination device for cognitive impairment provided in one or more embodiments of this specification. The device includes: a segmentation region acquisition unit 402, a data acquisition unit 404, a region correlation coefficient determination unit 406, a target area setting unit 408, a measurement point correlation coefficient determination unit 410, and a target point setting unit 412.

[0099] The segmentation region acquisition unit 402 acquires each segmentation region corresponding to the pre-determined brain heat zone image;

[0100] The data acquisition unit 404 acquires temperature data and electroencephalogram (EEG) signal data in each segmented region during the subject's pre-set cognitive impairment training process. The temperature data includes the temperature value of each measurement point in each segmented region, and the EEG signal data includes the EEG signal value of each measurement point in each segmented region.

[0101] The region correlation coefficient determination unit 406 determines the first correlation coefficient between temperature data and EEG signal data in each segmented region;

[0102] The target area setting unit 408 sets the segmented region with a first correlation coefficient greater than a first preset value as the brain target area of ​​cognitive impairment;

[0103] The measurement point correlation coefficient determination unit 410 determines the second correlation coefficient between the temperature value and the EEG signal value at each measurement point in the brain target area of ​​the cognitive impairment.

[0104] The target setting unit 412 sets measurement points with a second correlation coefficient greater than a second preset value as brain targets for cognitive impairment.

[0105] Figure 5 A schematic diagram of a brain target identification device for cognitive impairment provided for one or more embodiments of this specification, comprising:

[0106] At least one processor; and,

[0107] A memory communicatively connected to the at least one processor; wherein,

[0108] The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enable the at least one processor to:

[0109] Obtain the segmented regions corresponding to the pre-determined brain thermal zone image;

[0110] During the pre-set cognitive impairment training process, temperature data and EEG signal data are acquired in each segmented region. The temperature data includes the temperature value of each measurement point in each segmented region, and the EEG signal data includes the EEG signal value of each measurement point in each segmented region.

[0111] Determine the first correlation coefficient between temperature data and EEG signal data in each segmented region;

[0112] The segmented regions with a first correlation coefficient greater than a first preset value are set as brain target areas for cognitive impairment;

[0113] In the brain target area of ​​the cognitive impairment, a second correlation coefficient between the temperature value and the EEG signal value at each measurement point was determined;

[0114] Measurement points with a second correlation coefficient greater than a second preset value are set as brain targets for cognitive impairment.

[0115] This specification provides one or more embodiments of a non-volatile computer storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured as follows:

[0116] Obtain the segmented regions corresponding to the pre-determined brain thermal zone image;

[0117] During the pre-set cognitive impairment training process, temperature data and EEG signal data are acquired in each segmented region. The temperature data includes the temperature value of each measurement point in each segmented region, and the EEG signal data includes the EEG signal value of each measurement point in each segmented region.

[0118] Determine the first correlation coefficient between temperature data and EEG signal data in each segmented region;

[0119] The segmented regions with a first correlation coefficient greater than a first preset value are set as brain target areas for cognitive impairment;

[0120] In the brain target area of ​​the cognitive impairment, a second correlation coefficient between the temperature value and the EEG signal value at each measurement point was determined;

[0121] Measurement points with a second correlation coefficient greater than a second preset value are set as brain targets for cognitive impairment.

[0122] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0123] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0124] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A method for identifying brain targets in cognitive impairment, characterized in that, The method includes: Obtain the segmented regions corresponding to the pre-determined brain thermal zone image; During the pre-set cognitive impairment training process, temperature data and EEG signal data are acquired in each segmented region. The temperature data includes the temperature value of each measurement point in each segmented region, and the EEG signal data includes the EEG signal value of each measurement point in each segmented region. Determine the first correlation coefficient between temperature data and EEG signal data in each segmented region; The segmented region with the first correlation coefficient greater than the first preset value is set as the brain target area for cognitive impairment; In the brain target area of ​​the cognitive impairment, a second correlation coefficient between the temperature value and the EEG signal value at each measurement point was determined; Measurement points with a second correlation coefficient greater than a second preset value are set as brain targets for cognitive impairment.

2. The method according to claim 1, characterized in that, During the pre-set cognitive impairment training process for the test subject, temperature data and electroencephalogram (EEG) signal data are acquired in each segmented region, including: During the cognitive impairment training conducted by the subject wearing virtual reality equipment, EEG signal data at different times in each segmented region were acquired using an EEG device, and temperature data at different times in each segmented region were acquired using a brain thermal imaging device; wherein... The virtual reality device displays content related to cognitive impairment training to the test subject through an optical lens, a data processing chip, and a microphone. The EEG device collects the EEG signal data of the subject through multi-channel electrodes; The brain thermal imaging device collects the subject's temperature data using an infrared sensor.

3. The method according to claim 1, characterized in that, After setting the measurement points with the second correlation coefficient greater than the second preset value as brain target points for cognitive impairment, the method further includes: Obtain cognitive impairment results from pre-determined test subjects; Based on the cognitive impairment results, a cognitive impairment training program is determined, along with electrical stimulation of preset frequency and intensity. During the cognitive impairment training program, electrical stimulation is applied to the target brain points.

4. The method according to claim 3, characterized in that, The electrical stimulation of the brain target site includes: The brain target is electrically stimulated by an electroencephalogram (EEG) device, wherein the EEG device releases electrical stimulation through electrodes.

5. The method according to claim 1, characterized in that, Determining the first correlation coefficient between the temperature data and EEG signal data in each segmented region includes: Based on the changes in temperature data and EEG signal data at different times in each segmented region, a first correlation coefficient between temperature data and EEG signal data at different times in each segmented region is determined.

6. The method according to claim 1, characterized in that, The determination of the second correlation coefficient between temperature values ​​and EEG signal values ​​at each measurement point in the target brain region of the cognitive impairment includes: In the brain target area of ​​the cognitive impairment, a second correlation coefficient between the temperature value and the EEG signal value at each measurement point is determined based on the changes in temperature value and EEG signal value at each measurement point.

7. The method according to claim 1, characterized in that, Before acquiring the segmented regions corresponding to the pre-determined brain heat zone image, the method further includes: The brain heat region image is segmented using a graph clustering algorithm to obtain the corresponding segmented regions.

8. A device for identifying brain targets in cognitive impairment, characterized in that, The device includes: The segmentation region acquisition unit acquires each segmentation region corresponding to a pre-determined brain heat zone image; The data acquisition unit acquires temperature data and electroencephalogram (EEG) signal data in each segmented region during the subject's pre-set cognitive impairment training process. The temperature data includes the temperature values ​​of each measurement point in each segmented region, and the EEG signal data includes the EEG signal values ​​of each measurement point in each segmented region. The region correlation coefficient determination unit determines the first correlation coefficient between temperature data and EEG signal data in each segmented region; The target region setting unit sets the segmented region with the first correlation coefficient greater than the first preset value as the brain target region of cognitive impairment; The measurement point correlation coefficient determination unit determines the second correlation coefficient between the temperature value and the EEG signal value at each measurement point in the brain target area of ​​the cognitive impairment. The target setting unit sets the measurement points with the second correlation coefficient greater than the second preset value as brain targets for cognitive impairment.

9. A device for identifying brain targets in cognitive impairment, characterized in that, include: At least one processor; as well as, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enable the at least one processor to: Obtain the segmented regions corresponding to the pre-determined brain thermal zone image; During the pre-set cognitive impairment training process, temperature data and EEG signal data are acquired in each segmented region. The temperature data includes the temperature value of each measurement point in each segmented region, and the EEG signal data includes the EEG signal value of each measurement point in each segmented region. Determine the first correlation coefficient between temperature data and EEG signal data in each segmented region; The segmented regions with a first correlation coefficient greater than a first preset value are set as brain target areas for cognitive impairment; In the brain target area of ​​the cognitive impairment, a second correlation coefficient between the temperature value and the EEG signal value at each measurement point was determined; Measurement points with a second correlation coefficient greater than a second preset value are set as brain targets for cognitive impairment.

10. A non-volatile computer storage medium, characterized in that, The computer-executable instructions are stored thereon and are configured as follows: Obtain the segmented regions corresponding to the pre-determined brain thermal zone image; During the pre-set cognitive impairment training process, temperature data and EEG signal data are acquired in each segmented region. The temperature data includes the temperature value of each measurement point in each segmented region, and the EEG signal data includes the EEG signal value of each measurement point in each segmented region. Determine the first correlation coefficient between temperature data and EEG signal data in each segmented region; The segmented regions with a first correlation coefficient greater than a first preset value are set as brain target areas for cognitive impairment; In the brain target area of ​​the cognitive impairment, a second correlation coefficient between the temperature value and the EEG signal value at each measurement point was determined; Measurement points with a second correlation coefficient greater than a second preset value are set as brain targets for cognitive impairment.

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