A device and method for evaluating cognitive ability using near-infrared brain function imaging

Abstract

The present invention relates to a cognitive ability evaluation device using near-infrared brain function imaging, characterized in that it at least comprises: a near-infrared brain function imaging monitoring component (10) for collecting a cerebral cortex near-infrared spectrum image associated with a first time of a test subject during a test process; a testing component (20) for receiving feedback information associated with a second time of the test subject during the test process; a processor (30) for aligning the cerebral cortex near-infrared image information associated with the first time and the feedback information associated with the second time on a time axis, and judging a first cognitive ability based on the cerebral cortex near-infrared spectrum image within the same time period, judging a second cognitive ability based on the feedback information, and comprehensively judging the total cognitive ability of the test subject based on the first cognitive ability and the second cognitive ability. Compared with traditional testing methods, the present invention can collect more realistic response information and accurately identify the level of the first cognitive ability associated with intelligence.

Description

Technical Field

[0001] The present invention relates to the technical field of cognitive ability assessment, and in particular to a cognitive ability assessment device and method. Background Art

[0002] Functional near-infrared spectroscopy (fNIRS) is an optical imaging technique that uses near-infrared light (650-950 nm) to target specific brain regions. A receiving photode captures the near-infrared light that is diffused back by the muscle tissue of the cerebral cortex. Near-infrared light can penetrate 20-30 nm of intracranial cerebral cortical tissue. Protein cells within the cerebral cortex that absorb near-infrared light include oxyhemoglobin and deoxyhemoglobin. Oxyhemoglobin and deoxyhemoglobin have different light absorption properties: the absorption coefficient of oxyhemoglobin is higher at wavelengths greater than 805 nm, while the absorption coefficient of deoxyhemoglobin is higher at wavelengths less than 805 nm. Therefore, when the characteristics of near-infrared light absorbed by oxyhemoglobin and deoxyhemoglobin differ, the spectrum of the received near-infrared light can be estimated and constructed into different spectral images. When the amount of oxygenated hemoglobin and deoxygenated hemoglobin changes, the amount of near-infrared light absorbed by different parts of the cerebral cortex will also change, and the reflected near-infrared light will also change, allowing the near-infrared spectral image of the cerebral cortex to form a dynamically changing image.

[0003] Since the near-infrared spectral image of the cerebral cortex is related to the concentrations of oxyhemoglobin and deoxyhemoglobin in the cerebral cortex, the changes in the near-infrared spectral image can be used to understand the active areas of the cerebral cortex, the time of change of the active areas, and the oxygen consumption value of the cerebral cortex.

[0004] Traditional cognitive impairment analysis cannot monitor the subject's true brain responses. Therefore, even if the subject provides the correct cognitive response, it is impossible to distinguish between true cognition and guesswork. Therefore, due to the shortcomings of traditional cognitive impairment assessment, modern near-infrared brain function spectroscopy is being used to assess cognitive and motor abilities.

[0005] For example, Chinese patent CN105078481B discloses a nanosecond-level feedback data collection and statistical analysis method, which is characterized by comprising: generating stimulus information to a tester; collecting feedback information including feedback actions and times issued by the tester in response to the stimulus information, wherein the feedback actions include at least a mouse action as a first feedback action and an eye movement as a second feedback action; using a CPU bottom-level counter to record the first feedback time and the second feedback time accurately to the nanosecond, and calibrating the first feedback time according to the second feedback time; wherein the first feedback time is the time data of the tester clicking the mouse; the second feedback time is the reaction time of the tester's eye movement; the feedback information is statistically stored and classified according to the type of feedback action, and the feedback information is mapped and matched with pre-stored standard data to analyze the tester's reaction speed. Although this patent can achieve nanosecond-level feedback collection, it is still the result of the test subject's feedback, and it is impossible to know whether the test subject's result is their own true cognitive feedback or guessed feedback. According to such test results, it is inevitable that cognitive analysis bias will still be caused, resulting in an incorrect assessment of the test subject. Therefore, how to eliminate the interference data of the test subject's guess feedback is a technical problem that has not been solved by the current existing technology.

[0006] In particular, for cognitive tests used to screen for gifted cognition, accurately identifying gifted test subjects is subject to numerous interference factors, particularly the interference of guesswork in obtaining correct cognition. Therefore, how to eliminate the interference of guesswork with the aid of near-infrared brain functional imaging is a technical challenge that has not yet been addressed in current cognitive impairment analysis.

[0007] For example, Chinese patent publication number CN114767114A discloses a cognitive function assessment method based on the Stroop color-word test and near-infrared brain functional imaging. Its technical features are: obtaining light intensity data of the bilateral prefrontal lobe brain tissue and the Stroop color-word test results of the subject during the Stroop color-word test through a functional near-infrared imaging system; converting the subject's light intensity data into brain physiological information data and calculating the intensity of the bifrontal region; testing subjects with cognitive decline or poor cognitive status who are unable to cooperate well with traditional neuropsychological scale assessments according to the above method; comparing the Stroop color-word test results and bifrontal region intensity of the above subjects with those of normal subjects, and analyzing their correlation with MoCA scores. Although this test uses near-infrared brain functional imaging to assist in cognitive testing and assessment, it only focuses on near-infrared light intensity data and does not pay attention to the test subject's actual response to each instruction. Therefore, there is a certain deviation in the assessment of the test subject's true cognition.

[0008] In addition, on the one hand, there are differences in understanding among those skilled in the art; on the other hand, the applicant studied a large number of documents and patents when making the present invention, but due to space limitations, not all details and contents are listed in detail. However, this does not mean that the present invention does not have the characteristics of these prior arts. On the contrary, the present invention already has all the characteristics of the prior art, and the applicant reserves the right to add relevant prior art to the background technology. Summary of the Invention

[0009] In traditional cognitive tests, the cognitive ability of the test subject is analyzed only based on the feedback information of the test subject, thereby ignoring the test subject's actual cerebral cortex response information. Feedback time is the combined result of the test subject's brain activity response and motor response, and it is impossible to effectively distinguish whether the test subject has a fast brain reaction or a fast motor reaction. For tests that screen for high cognitive ability or high motor ability, there are huge differences in the screening purpose, but the screening results cannot match the screening purpose. Based on this defect, the existing technology often conducts multiple tests on the test subject, repeatedly adjusting the stimulus information used in the test and the order of stimulus information compilation, in order to screen out the required talents.

[0010] Therefore, how to monitor the real reactions of the human brain and obtain accurate judgments of cognitive abilities by reducing the number of tests is a currently unresolved technical problem.

[0011] In response to the deficiencies of the prior art, the present invention provides a cognitive ability evaluation device using near-infrared brain function imaging, which comprises at least: a near-infrared brain function imaging monitoring component, used to collect near-infrared spectral images of the cerebral cortex of a test subject associated with a first time during a test; a testing component, used to receive feedback information associated with a second time during a test from the test subject; a processor, used to align the time axis of the near-infrared image information of the cerebral cortex associated with the first time and the feedback information associated with the second time, and to judge the first cognitive ability based on the near-infrared spectral images of the cerebral cortex within the same time period, to judge the second cognitive ability based on the feedback information, and to comprehensively judge the total cognitive ability of the test subject based on the first cognitive ability and the second cognitive ability.

[0012] The processor of the present invention is a dedicated integrated chip or CPU capable of executing the cognitive ability assessment method using near-infrared brain function imaging of the present invention. The processor includes at least one transmission port for transmitting data.

[0013] The present invention uses traditional testing methods to obtain the test subject's real reaction time and cerebral cortex activity area by collecting near-infrared brain function spectrum images, thereby accurately judging the test subject's first cognitive ability of the brain and the second cognitive ability related to the limbs, and effectively distinguishing the test subject's brain thinking ability from the motor ability. While reducing the number of tests, it can also obtain the test subject's accurate cognitive ability.

[0014] Preferably, the test component includes a motion test component, an eye movement test component and / or a mouse test component. When the test subject is stimulated by stimulus information, the motion test component collects the test subject's motion feedback and its feedback time; the eye movement test component collects the test subject's eye movement and its feedback time; and the mouse test component collects the test subject's mouse movement and its feedback time.

[0015] Preferably, the processor is further configured to: align the first time, the second time and the third time of the stimulation information test, and divide the stimulation time by taking the stimulation time point of the stimulation information as a cutting point.

[0016] Preferably, the processor is further configured as follows: the shorter the real reaction time, the higher the overlap of the active areas of the cerebral cortex, and the stronger the ability of the first cognition; the longer the real reaction time, the lower the overlap of the active areas of the cerebral cortex, and the worse the ability of the first cognition.

[0017] When the overlap of active areas of the cerebral cortex is similar, the light absorption parameter value is inversely related to the first cognitive ability.

[0018] The present invention also relates to a method for evaluating cognitive ability using near-infrared brain function imaging, the method comprising at least: collecting a near-infrared spectral image of the cerebral cortex of a test subject associated with a first time during a test, and receiving feedback information associated with a second time during a test; aligning the near-infrared image information of the cerebral cortex associated with the first time and the feedback information associated with the second time on a time axis, and judging the first cognitive ability based on the near-infrared spectral image of the cerebral cortex within the same time period, judging the second cognitive ability based on the feedback information, and comprehensively judging the total cognitive ability of the test subject based on the first cognitive ability and the second cognitive ability.

[0019] Preferably, the method further comprises: aligning the first time, the second time and the third time of the stimulation information test, and dividing the stimulation time by taking the stimulation time point of the stimulation information as a cutting point.

[0020] Preferably, the method further comprises: determining a cognitive level of the first cognitive ability of the test subject based on the real reaction time, the overlap of the active areas of the cerebral cortex and / or the light absorption parameter.

[0021] The cognitive ability evaluation method using near-infrared brain functional imaging of the present invention processes relatively little data by the processor. It only needs to align the time data and divide it based on the stimulus information to obtain the near-infrared spectral image of the cerebral cortex and the motion feedback information corresponding to the stimulus information. The real brain activity area, oxygen consumption intensity and real reaction time of the test subject can be determined based on the near-infrared spectral image, thereby effectively distinguishing the brain cognitive ability of the test subject from the motor reaction cognitive ability of the limbs and obtaining real test results, and accurately evaluating the brain cognition and motor cognition of the test subject. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a simplified schematic diagram of module connections in a cognitive ability evaluation device according to a preferred embodiment of the present invention;

[0023] Figure 2 This is a simplified schematic diagram of module connection relationships of a cognitive ability evaluation device according to a preferred embodiment of the present invention.

[0024] Reference Signs List

[0025] 10: Near-infrared brain functional imaging monitoring component; 20: Testing component; 30: Processor; 40: Action cognition monitoring component. DETAILED DESCRIPTION

[0026] The following is a detailed description with reference to the accompanying drawings.

[0027] In the prior art, the analysis of cognitive impairment generally focuses on two aspects:

[0028] First, the compilation of test content. By scientifically arranging the test content and its order, the test subject is encouraged to provide true cognitive information and / or action responses. However, the feedback information obtained by the test system may be true feedback from the test subject, feedback given by the test subject through subjective inverse reasoning, or false feedback given by the test subject in a casual manner. These three situations are indistinguishable, and the test system can only scientifically eliminate false information through reasoning based on relevant psychological information at a later stage. However, since reasoning based on psychological information cannot achieve 100% accuracy, the test results obtained are always biased.

[0029] Second, improve the time it takes to receive information. For example, existing systems for collecting and analyzing feedback data at the nanosecond level reduce the time it takes for testers to think about the information. However, this approach still doesn't prevent test subjects from providing feedback in a haphazard manner.

[0030] Therefore, the present invention aims to solve the technical problem of intuitively capturing the subject's true brain response from the time they receive stimulus information to the time they provide feedback. This invention aims to analyze and eliminate inauthentic feedback information using auxiliary information from near-infrared brain functional images.

[0031] Furthermore, for stimulus information involving cognition, the present invention also hopes to improve the accuracy of cognitive tests related to talent by judging the differences in the test subject's reaction time to the same stimulus information through changes in near-infrared brain functional images.

[0032] For example, for cognitive tests related to talent, the traditional approach is to present compiled cognitive information and then analyze it based on the feedback received. However, for the same feedback information, the speed of reaction in the cerebral cortex varies during the test subject's thinking process. Some test subjects have high intelligence and can easily get the correct answer in a short time; some test subjects have average intelligence and need a lot of training and a long time to think before they can get the correct answer. Obviously, without being able to observe brain activity, existing intelligence tests or cognitive tests cannot accurately distinguish between test subjects with truly high intelligence and will give the same cognitive level score to these two types of test subjects.

[0033] Therefore, the present invention proposes to incorporate near-infrared brain function images into the test dimension to analyze the actual brain activity and actual feedback of the test subjects, thereby improving the accuracy of cognitive assessment and enabling test subjects with differences in brain activity to be distinguished.

[0034] The present invention provides a cognitive ability evaluation device using near-infrared brain function imaging, such as Figures 1 and 2 As shown, the system at least comprises: a near-infrared brain function imaging monitoring component 10, a testing component 20 and a processor 30. The near-infrared brain function imaging monitoring component 10 and the testing component 20 are respectively connected to the processor 30 in a wired or wireless manner.

[0035] The near-infrared brain function imaging monitoring component 10 is used to collect a near-infrared spectral image of the cerebral cortex of the test subject associated with a first time during the test process. The testing component 20 is used to receive feedback information from the test subject associated with a second time during the test process. The processor 30 is used to align the time axis of the near-infrared image information of the cerebral cortex associated with the first time and the feedback information associated with the second time, and to determine the first cognitive ability based on the near-infrared spectral image of the cerebral cortex within the same time period, determine the second cognitive ability based on the feedback information, and then determine the total cognitive ability of the test subject based on the first cognitive ability and the second cognitive ability.

[0036] The present invention uses traditional testing methods to obtain the test subject's real reaction time and cerebral cortex activity area by collecting near-infrared brain function spectrum images, thereby accurately judging the test subject's first cognitive ability of the brain and the second cognitive ability related to the limbs, and effectively distinguishing the test subject's brain thinking ability from the motor ability. While reducing the number of tests, it can also obtain the test subject's accurate cognitive ability.

[0037] The cognitive level in the present invention can be expressed using numerical values ​​or levels.

[0038] Preferably, the processor is further configured to: align the first time, the second time and the third time of the stimulation information test, and divide the stimulation time by taking the stimulation time point of the stimulation information as a cutting point.

[0039] Specifically, a near-infrared spectral image of the cerebral cortex of the test subject is marked and collected using a first time axis. The near-infrared spectral image is a dynamic video, and changes in the near-infrared brain function image of the cerebral cortex can be observed.

[0040] The second time axis is used to mark and collect the test subject's action feedback information, including mouse movements and eye movements.

[0041] The stimulus information is labeled and displayed using a third time axis.

[0042] Preferably, the time on the first time axis, the second time axis and the third time axis is the same regional time, for example, all are displayed as Eastern Time Zone 8.

[0043] After the test of the test object is completed, the first time axis, the second time axis and the third time axis are aligned from the same time point as the starting point to achieve alignment of the first time, the second time and the third time.

[0044] After the three time axes are aligned, the time point at which the stimulation information is displayed is used as the cutting point to divide the cerebral cortical spectral image and action feedback information corresponding to the stimulation time.

[0045] By aligning the first time, the second time and the third time, the present invention can accurately monitor the near-infrared spectral image of the cerebral cortex during the process of receiving stimulation information and the final feedback information, so that the near-infrared spectral image of the cerebral cortex can correspond to the stimulation information and the feedback result, thereby improving the accuracy of determining the real reaction time of the brain.

[0046] Near-infrared brain function image information contains the active area of ​​the cerebral cortex, light absorption parameters, and the time when the light absorption parameters change significantly. Because people think based on stimulus information, the oxygen consumption value in the corresponding area of ​​the cerebral cortex changes, resulting in changes in the absorption of the near-infrared spectrum. Therefore, the real reaction time of the cerebral cortex refers to the time period when the oxygen consumption fluctuates significantly. During the real reaction time period, by analyzing the near-infrared spectral image, the active area of ​​the cerebral cortex, the oxygen consumption value calculated by the light absorption parameters, and the real reaction time can be directly obtained. The oxygen consumption value can be directly calculated based on the change in the light absorption parameters. For example, the Lambert-Beer law can be used to calculate the oxygenated hemoglobin value and the oxygen-free hemoglobin value:

[0047]

[0048] Where A is the attenuation value of the near-infrared light after entering the muscle tissue, I0 is the input light intensity, I is the reflected light intensity, C0+C1λ is the attenuation excluding hemoglobin and water, L is the distance from the near-infrared light transmitting end to the near-infrared light receiving end (for example, the near-infrared light receiving electrode is set within a range of 10mm to 20mm from the near-infrared light transmitting electrode), and C hhb 、C hb0 They are the density of oxygen-free hemoglobin (also called oxygen-free hemoglobin value) and the density of oxygenated hemoglobin (also called oxygenated hemoglobin value), ε hhb , ε hb0 are the extinction coefficients of oxygen-free hemoglobin and oxygen-free hemoglobin to near-infrared light, respectively.

[0049] For example, the processor can calculate the near-infrared attenuation value A based on the emission current of the near-infrared LED lamp and the reflected current IPD formed by the reflected light received by the near-infrared receiving photoelectrode. However, the present disclosure is not limited thereto, and the near-infrared attenuation value A can also be calculated using other methods known in the art.

[0050] The extinction coefficient ε of the above-mentioned oxygenated hemoglobin and oxygen-free hemoglobin to near infrared light can be determined by the wavelength of the near infrared light emitted by the near infrared light emitting electrode. hhb , ε hb0 The processor obtains the oxygen-free hemoglobin density C by solving the optimal value based on the above formula using a nonlinear optimization method according to the attenuation of at least four different wavelengths. hhb and oxygenated hemoglobin density Chb0 .

[0051] After obtaining the oxygenated hemoglobin density and the oxygen-free hemoglobin density, the processor can calculate the oxygen consumption based on the oxygenated hemoglobin density and the oxygen-free hemoglobin density. For example, the processing module 130 can calculate the oxygen consumption value S of the cerebral cortex according to the following formula: m O 2 .

[0052]

[0053] Preferably, the near-infrared emitting optode in the near-infrared head cover worn by the test subject is configured to emit near-infrared rays with wavelengths of 660 nm, 730 nm, 810, 850 nm and 940 nm.

[0054] Preferably, the processor can also calculate the oxygen consumption value S of the cerebral cortex by the following formula: m O 2 .

[0055] S m O 2 =Δ(C hb0 +O 2 Mb-(C hhb +HMb)).

[0056] Among them, C hhb is the density of oxygen-free hemoglobin, C hb0 is the oxygenated hemoglobin density, O 2 Mb is the density of aerobic myoglobin, and HMb is the density of anaerobic myoglobin.

[0057] Aerobic myoglobin density O 2 Mb and oxygen-free myoglobin density HMb can be obtained, for example, based on oxygenated hemoglobin density and oxygen-free hemoglobin density using any method in the prior art. Specific methods for obtaining HMb are well known in the art and will not be described in detail here.

[0058] Preferably, the processor is further configured to: determine the active area of ​​the cerebral cortex and the light absorption parameters based on the near-infrared spectral image of the cerebral cortex fed back by the stimulation information, determine the real reaction time based on the near-infrared spectral image of the cerebral cortex during the stimulation time, and determine the cognitive level of the first cognitive ability of the test subject based on the real reaction time, the overlap of the active area of ​​the cerebral cortex and / or the light absorption parameters.

[0059] Preferably, due to different people's cognition, the activity area of ​​the cerebral cortex corresponding to the cognition is different. Therefore, by monitoring the activity area of ​​the cerebral cortex, it is possible to find out whether the test subject has performed corresponding thinking and action feedback. If the test subject receives the stimulus information but does not perform corresponding cognitive thinking, then the activity area of ​​the cerebral cortex will be different from the area that should be active. Therefore, based on the activity area of ​​the cerebral cortex, it is possible to judge whether the test subject has performed corresponding cognitive feedback.

[0060] Preferably, the device of the present invention further comprises a storage module. The processor and the storage module are connected in a wired or wireless manner. The storage module can also be replaced by a remote database. The storage module is used to store test data related to the test subject, brain activity sample areas corresponding to the stimulation information, and other information.

[0061] After the processor determines the cortical activity area based on the near-infrared spectral image, it compares the cortical activity area with the brain activity sample area and calculates the degree of overlap. When the overlap is greater than the overlap threshold, it is confirmed that the test subject's brain has performed the corresponding cognitive activity. If the overlap is less than the overlap threshold and the user's cognitive activity is confirmed based on the cortical activity area, such as activity in the cognitive area corresponding to lying, the cognitive and action information reported by the test subject can be confirmed to be invalid.

[0062] Preferably, the invalid conclusion can also be confirmed by combining the test subject's eye movement information. Similarly, if the cerebral cortical activity area given by the test subject is valid, this valid conclusion can also be confirmed by combining the test subject's eye movement information.

[0063] The spectral changes reflect changes in oxygen consumption and activity areas in the cerebral cortex, without any false responses. The processor's judgment is based on the test subject's true response, which cannot be altered, resulting in accurate authenticity judgments.

[0064] By aligning the first time, the second time and the third time, the present invention can accurately monitor the near-infrared spectral image of the cerebral cortex during the process of receiving stimulation information and the final feedback information, so that the near-infrared spectral image of the cerebral cortex can correspond to the stimulation information and the feedback result, thereby improving the accuracy of determining the real reaction time of the brain.

[0065] Human cognition is related to the activity areas of the cerebral cortex. Different cognitions involve different brain activity areas, and different responses require different amounts of oxygen consumption. This results in different near-infrared brain function spectral images displaying brain activity areas and light absorption parameters that can reflect the test subject's true reaction time and brain activity level. The higher the oxygen consumption, the higher the brain activity level. Therefore, the brain activity area can be determined based on the spectral changes in the test subject's cerebral cortex. Based on the brain activity area, it can be determined whether the test subject is thinking seriously and the brain activity area is correct, or whether the test subject is giving feedback without thinking, and the brain activity area does not match the predicted activity area. These situations can be determined using near-infrared brain function spectral images, and then the test subject's true reaction time and light absorption parameters can be determined, determining the primary cognitive ability that can be related to the user's intelligence.

[0066] Preferably, the processor is further configured to: determine the active area of ​​the cerebral cortex and the light absorption parameters based on the near-infrared spectral image of the cerebral cortex fed back by the stimulation information, determine the real reaction time based on the near-infrared spectral image of the cerebral cortex during the stimulation time, and determine the cognitive level of the first cognitive ability of the test subject based on the real reaction time, the overlap of the active area of ​​the cerebral cortex and / or the light absorption parameters.

[0067] The changes in the spectrum reflect the changes in oxygen consumption and activity areas of the cerebral cortex, and there is no false reaction information. The present invention can determine the level of the first cognitive ability of the test subject based on the real reaction data.

[0068] Preferably, the processor is further configured as follows: the shorter the real reaction time, the higher the overlap of the active areas of the cerebral cortex, and the stronger the ability of the first cognition; the longer the real reaction time, the lower the overlap of the active areas of the cerebral cortex, and the worse the ability of the first cognition.

[0069] After a large number of sample tests, it is possible to scientifically determine the brain activity areas of the cerebral cortex corresponding to different human thinking reactions. Therefore, the brain activity areas corresponding to the real reactions to the stimulus information can be predicted. When the overlap between the active areas of the cerebral cortex and the predicted brain activity areas is relatively high, it means that the test subject is thinking seriously based on the stimulus information and has effectively received the stimulus information. When the overlap between the active areas of the cerebral cortex and the predicted brain activity areas is relatively low, it means that the test subject has not thought accordingly based on the stimulus information, the effectiveness of receiving the stimulus information is poor, and no real cognitive feedback is given. Therefore, the processor is also configured so that: when the overlap between the active areas of the cerebral cortex is similar, the light absorption parameter value is inversely related to the first cognitive ability. This setting can effectively identify whether the feedback given by the test subject is true. Compared with the traditional use of psychologically related test questions to identify false feedback from users, the present invention can identify false feedback with higher accuracy.

[0070] Preferably, when the overlap of the cerebral cortical activity areas is high and the feedback information is correct, the lower the oxygen consumption value is, the stronger the cognition of the test subject is, and the higher the first cognitive ability level is.

[0071] Preferably, the test component 20 includes a motion test component, an eye movement test component and / or a mouse test component. When the test subject is stimulated by stimulus information, the motion test component collects the test subject's motion feedback and its feedback time; the eye movement test component collects the test subject's eye movement and its feedback time; and the mouse test component collects the test subject's mouse movement and its feedback time.

[0072] Preferably, the processor is further configured to determine the first cognitive ability level and the second cognitive ability level based on a ratio of the actual reaction time to the complete feedback time of the test subject to the stimulus object.

[0073] As described above, the present invention, by using near-infrared brain function spectroscopy images for cognitive testing, can further screen test subjects for cognitively relevant factors, accurately distinguish between true responses and false feedback, and further determine whether the test subject's brain reaction or motor reaction is faster. The present invention's cognitive ability assessment device and method using near-infrared brain function imaging is more accurate and convenient than traditional cognitive ability assessment methods.

[0074] In the present invention, the second cognitive ability level mainly focuses on the ability of action feedback. Human talent includes not only intellectual cognition, but also motor cognition.

[0075] The present invention distinguishes between the real reaction time and the motor feedback time when the brain issues action feedback in the entire feedback time, and can clearly judge the second cognitive ability level of the test subject, thereby screening out people with higher intelligence and better motor ability.

[0076] Based on the same principle, the cognitive ability evaluation device of the present invention is applied to patients and can also evaluate the first cognitive ability and the second cognitive ability of the patients respectively, so as to provide appropriate rehabilitation treatment plans.

[0077] Preferably, the processor is further configured to determine the level of the first cognitive ability based on a ratio of the actual reaction time to the complete feedback time of the test subject to the stimulus object.

[0078] Preferably, the processor 30 of the present invention can also establish an information transmission relationship with at least one motion cognition monitoring component 40 in a wired or wireless manner.

[0079] The motion recognition monitoring component 40 can collect the test subject's body motion data in real time. The motion recognition monitoring component 40 can be, for example, a smart handgrip dynamometer, a foot dynamometer, or other motion device, and can send the handgrip data with the fourth time information to the processor 30 via a data line or a wireless communication signal.

[0080] Preferably, the motion cognition monitoring component 40 records the grip strength data using the fourth time axis and sends the data to the processor 30 .

[0081] Preferably, after the test object test is completed, the processor 30 aligns the first time axis, the second time axis, the third time axis and the fourth time axis from the same time point as the starting point to achieve alignment of the first time, the second time, the third time and the fourth time.

[0082] After the four time axes are aligned, the time point when the stimulation information is displayed is used as the cutting point to divide the cerebral cortical spectral image, action feedback information and action cognitive information corresponding to the stimulation time.

[0083] By aligning the first time, the second time, the third time and the fourth time, the present invention can accurately monitor the near-infrared spectral image of the cerebral cortex during the process of receiving stimulation information and the final feedback information, so that the near-infrared spectral image of the cerebral cortex can correspond to the stimulation information and the feedback result, thereby improving the accuracy of determining the real reaction time of the brain.

[0084] The processor can calculate the action recognition reaction time required to achieve the required action recognition based on the fourth time axis. Action recognition reaction time refers to the time it takes for the action to reach the specified requirement or standard at the end of the actual reaction time. For a handgrip dynamometer, action recognition reaction time refers to the time it takes for the action to reach the required grip force range at the end of the actual reaction time.

[0085] Preferably, the processor determines the level of the second cognitive ability based on a ratio of the real reaction time, the action cognitive reaction time, and the complete feedback time of the test subject to the stimulus object.

[0086] Under the same feedback information, the shorter the actual reaction time and the lower the oxygen consumption value, the stronger the corresponding first cognitive ability of the test subject.

[0087] In the entire feedback time, the actual reaction time is followed by the action feedback time or action cognitive reaction time. Action feedback also has corresponding cerebral cortical activity areas.

[0088] The processor can determine the level of the test subject's second cognitive ability based on the migration of the cerebral cortical activity area, the action feedback time or the action cognitive reaction time, the oxygen consumption value of the migration area, and the time required for the action cognition to reach the requirements.

[0089] Similarly, the shorter the action feedback time or action cognitive reaction time, the lower the oxygen consumption value in the migration area, and the more correct the action feedback, then the stronger the test subject's secondary cognitive ability.

[0090] It should be noted that the above-mentioned specific embodiments are exemplary, and those skilled in the art can come up with various solutions inspired by the disclosure of the present invention, and these solutions also fall within the scope of the disclosure of the present invention and fall within the scope of protection of the present invention. Those skilled in the art should understand that the present invention specification and its drawings are illustrative and do not constitute a limitation on the claims. The scope of protection of the present invention is defined by the claims and their equivalents. The present invention specification contains multiple inventive concepts, such as "preferably", "according to a preferred embodiment" or "optionally", which means that the corresponding paragraph discloses an independent concept, and the applicant reserves the right to file a divisional application based on each inventive concept.

Claims

1. A cognitive ability evaluation device using near-infrared brain function imaging, characterized in that: At least: The near-infrared brain function imaging monitoring component (10) is used to collect the near-infrared spectral image of the cerebral cortex of the test subject related to the first time during the test process, A test component (20) is used to receive feedback information related to a second time from a test subject during a test process; A processor (30) is configured to align the time axis of the cerebral cortex near-infrared image information associated with the first time and the feedback information associated with the second time, and to determine the first cognitive ability based on the cerebral cortex near-infrared spectrum image within the same time period, determine the second cognitive ability based on the feedback information, and determine the total cognitive ability of the test subject based on the first cognitive ability and the second cognitive ability; The processor is further configured to: The first time and the second time are aligned with the third time of the stimulation information test, and the stimulation time is divided with the stimulation time point of the stimulation information as the cutting point; the active area of ​​the cerebral cortex and the light absorption parameter are determined based on the near-infrared spectrum image of the cerebral cortex fed back by the stimulation information, Determine the real reaction time based on the near-infrared spectral image of the cerebral cortex during the stimulation time. A cognitive level of the first cognitive ability of the test subject is determined based on the real reaction time, the overlap of the active areas of the cerebral cortex and / or the light absorption parameter.

2. The cognitive ability evaluation device using near-infrared brain function imaging according to claim 1, characterized in that: The processor is further configured to: The shorter the actual reaction time, the higher the overlap of the active areas of the cerebral cortex, and the stronger the ability of the first cognition; The longer the actual reaction time is, the lower the overlap of the active areas of the cerebral cortex is, and the worse the ability of the first cognition is.

3. The cognitive ability evaluation device using near-infrared brain function imaging according to claim 2, characterized in that: The processor is further configured to: When the overlap of active areas of the cerebral cortex is similar, the light absorption parameter value is inversely related to the first cognitive ability.

4. The cognitive ability evaluation device using near-infrared brain function imaging according to claim 3, characterized in that: The test component (20) includes a motion test component, an eye movement test component and / or a mouse test component, During the process of applying stimulation information to the test subject, the motion testing component collects the test subject's motion feedback and its feedback time; The eye movement test component collects the eye movements of the test subject and the feedback time thereof; The mouse test component collects the mouse movements of the test subject and their feedback time.

5. The cognitive ability evaluation device using near-infrared brain function imaging according to claim 4, characterized in that: The processor is further configured to: The processor determines the level of the first cognitive ability based on a ratio of the actual reaction time to the complete feedback time of the test subject to the stimulus object.

6. A method for evaluating cognitive ability using near-infrared brain function imaging, characterized in that: The method at least comprises: collecting a near-infrared spectrum image of the cerebral cortex of the test subject during the test process and related to the first time; receiving feedback information related to the second time from the test subject during the test; Aligning the cerebral cortex near-infrared image information associated with the first time and the feedback information associated with the second time on a time axis, and determining a first cognitive ability based on the cerebral cortex near-infrared spectral image within the same time period, determining a second cognitive ability based on the feedback information, and determining the total cognitive ability of the test subject based on a combination of the first and second cognitive abilities; aligning the first time, the second time and the third time of the stimulation information test, and dividing the stimulation time by taking the stimulation time point of the stimulation information as a cutting point; A cognitive level of the first cognitive ability of the test subject is determined based on the real reaction time, the coincidence of active areas of the cerebral cortex, and / or the light absorption parameter.

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