Attention deficit and hyperactivity disorder auxiliary diagnosis system

Abstract

The invention provides an ADHD (attention deficit and hyperactivity disorder) auxiliary diagnosis system. The system comprises an eye tracker, a neuropsychological test module, an auxiliary diagnosis module, a motion capture camera and / or an inertial measurement unit, wherein the neuropsychological test module is used for obtaining neuropsychological test data of a user; the eye tracker is used for acquiring eye movement data when a user performs a neuropsychological test; the inertial measurement unit is used for acquiring leg movement data when a user performs a neuropsychological test; the auxiliary diagnosis module is used for determining ADHD auxiliary diagnosis information based on the neuropsychological test data, the eye movement data, the head movement data and / or the leg movement data; the ADHD auxiliary diagnosis information comprises at least one of the following items: an ADHD disease result, ADHD type information, ADHD severity information and ADHD co-disease information. According to the system, the efficiency and accuracy of ADHD diagnosis are effectively improved, the objectivity, comprehensiveness and integrity of diagnosis are greatly improved, and the risk that the illness state is further deteriorated due to the fact that illness information of a user is not diagnosed by the system in time and comprehensively is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and in particular to an attention deficit hyperactivity disorder (ADHD) auxiliary diagnosis system. Background Art

[0002] Attention deficit and hyperactivity disorder (ADHD), commonly known as ADHD, is a common functional disorder among children. Clinically, its main manifestations are short attention span, hyperactivity, cognitive impairment, learning difficulties, etc.

[0003] In the related art, the clinical diagnosis of ADHD requires a doctor's interview and observation, which consumes a lot of manpower and material resources and mainly relies on the subjective judgment of medical staff, resulting in low accuracy of ADHD diagnosis. Summary of the invention

[0004] In view of the problems in the prior art, an embodiment of the present invention provides an attention deficit and hyperactivity disorder (ADHD) auxiliary diagnosis system.

[0005] Specifically, the embodiment of the present invention provides the following technical solutions: In a first aspect, an embodiment of the present invention provides an attention deficit and hyperactivity disorder (ADHD) auxiliary diagnosis system, comprising: Eye tracker, neuropsychological test module, auxiliary diagnosis module, motion capture camera and / or inertial measurement unit; the motion capture camera, eye tracker, inertial measurement unit and neuropsychological test module are respectively connected to the auxiliary diagnosis module; wherein,

[0006] The neuropsychological test module is used to perform neuropsychological tests on users and obtain neuropsychological test data of users; Eye trackers are used to obtain eye movement data when users are taking neuropsychological tests; The inertial measurement unit was used to obtain leg movement data while the user was taking neuropsychological tests; Motion capture cameras are used to obtain head movement data when users are taking neuropsychological tests; The auxiliary diagnosis module is used to determine ADHD auxiliary diagnosis information based on neuropsychological test data, eye movement data, head movement data and / or leg movement data; the ADHD auxiliary diagnosis information includes at least one of the following: auxiliary diagnosis of ADHD disease results, auxiliary diagnosis of ADHD type information, auxiliary diagnosis of ADHD severity information and auxiliary diagnosis of ADHD comorbidity information.

[0007] Furthermore, the auxiliary diagnosis module is used to obtain characteristic indicators of the neuropsychological test based on the neuropsychological test data; Based on the eye movement data, obtain eye movement feature indicators; Based on the head movement data, obtain head movement feature indicators; Based on the leg motion data, obtain the leg motion characteristic index; Based on the characteristic indicators of neuropsychological tests, eye movement characteristic indicators, head movement characteristic indicators and / or leg movement characteristic indicators, auxiliary diagnosis information of ADHD is obtained.

[0008] Furthermore, the auxiliary diagnosis module is used to obtain at least one of the following characteristic indicators of neuropsychological tests based on the neuropsychological test data: The number of missed reports indicates the number of times the user did not respond to the target stimulus during the neuropsychological test; Missing report rate: The missing report rate represents the ratio of the number of missing reports to the number of target stimuli. The number of false alarms refers to the number of times the user gave feedback when the target stimulus did not appear. False alarm rate; The false alarm rate represents the ratio of the number of false alarms to the number of non-target stimuli; Reaction time: Reaction time refers to the interval from the appearance of the target stimulus to the user's feedback. Predicted trigger times; the predicted trigger times indicate the number of times the interval from the appearance of the target stimulus to the user's feedback is less than the threshold; Continuous trigger times: The continuous trigger times indicate the number of times the user repeatedly provides feedback during the neuropsychological test.

[0009] Furthermore, the auxiliary diagnosis module is used to obtain at least one of the following eye movement characteristic indicators based on the eye movement data: Gaze range: Gaze range is used to indicate the area where the user is looking during the neuropsychological test. Gaze duration: Gaze duration is used to indicate the total time that the user's gaze point remains on the screen during the neuropsychological test. Regional fixation dwell time ratio: Regional fixation dwell time ratio is used to indicate the proportion of time that the user's gaze point stays in each area of ​​the screen during the neuropsychological test; The number of target fixation switches for a single task is used to indicate the number of times the user's gaze point switches between various areas of the screen in a single set of neuropsychological test tasks.

[0010] Furthermore, the auxiliary diagnosis module is used to obtain at least one of the following leg movement characteristic indicators based on the leg movement data: Leg movement frequency: The movement distance is used to indicate the frequency of the user's leg movement during the neuropsychological test; Leg movement range: The movement distance is used to represent the range of the user's leg movement during the neuropsychological test; Furthermore, the auxiliary diagnosis module is used to obtain at least one of the following head movement characteristic indicators based on the head movement data: Movement distance: Movement distance is used to indicate the total movement distance of the user's head markers during the neuropsychological test; Movement range: The movement distance indicator is used to represent the spatial volume formed by the trajectory of the user's head markers during the neuropsychological test; Movement speed: The movement distance indicator is used to indicate the average speed of the user's head movement during the neuropsychological test; Maximum movement speed; The movement distance indicator is used to indicate the maximum value of the user's head movement speed during the neuropsychological test; Movement number and movement distance indicators are used to indicate the number of times the user's head movement speed exceeds the threshold during the neuropsychological test.

[0011] Furthermore, ADHD comorbidity information includes at least one of the following: tic disorders, autism spectrum disorders, and oppositional defiant disorder; The auxiliary diagnosis module is used to determine whether the ADHD comorbidity information of the auxiliary diagnosis includes tic disorder based on the head movement characteristic index and / or the leg movement characteristic index; The auxiliary diagnosis module is used to determine whether the ADHD comorbidity information for auxiliary diagnosis includes autism spectrum disorder based on eye movement feature indicators; The auxiliary diagnosis module is used to determine whether the ADHD comorbidity information of the auxiliary diagnosis includes oppositional defiant disorder based on eye movement feature indicators, leg movement feature indicators and / or head movement feature indicators.

[0012] Furthermore, the auxiliary diagnosis module is used to determine ADHD type information for auxiliary diagnosis based on characteristic indicators of neuropsychological tests.

[0013] Furthermore, the neuropsychological testing module includes: Test task display unit; the test task display unit is used to display the test tasks of the neuropsychological test to the user based on the user's age and the user's cognitive development level; the test tasks include two types of cold and hot executive function tasks; Test task answering unit; the test task answering unit is used to obtain test data of neuropsychological test in response to the user's operation; the test task display unit is connected to the test task answering unit.

[0014] Furthermore, the test task display unit is fixed in front of the user through a bracket arm connected to the bracket; the eye tracker is fixed to the lower edge of the test task display unit and is arranged forward; and the motion capture camera is fixed to the top of the bracket.

[0015] In a second aspect, an embodiment of the present invention provides an auxiliary diagnosis method for attention deficit hyperactivity disorder (ADHD), comprising: obtaining neuropsychological test data, eye movement data, and / or head movement data of a user while undergoing a neuropsychological test; Based on neuropsychological test data, eye movement data, head movement data and / or leg movement data, determine the user's ADHD auxiliary diagnosis information; the ADHD auxiliary diagnosis information includes at least one of the following: auxiliary diagnosis of ADHD disease results, auxiliary diagnosis of ADHD type information, auxiliary diagnosis of ADHD severity information and auxiliary diagnosis of ADHD comorbidity information.

[0016] In the attention deficit and hyperactivity disorder (ADHD) auxiliary diagnosis system provided by the embodiment of the present invention, when the neuropsychological test module performs neuropsychological testing on the user, the eye tracker, the inertial measurement unit and the motion capture camera synchronously obtain the user's eye movement data, leg movement data and head movement data, and then the auxiliary diagnosis module can analyze the user's neuropsychological test data, the user's head movement data, leg movement data and eye movement data during the neuropsychological test, thereby achieving the effect of effectively improving the sensitivity and specificity of ADHD assessment based on multiple types of data such as psychological tests, eye movement data, leg movement data, head movement data, etc.; and through the ADHD auxiliary diagnosis system, not only the auxiliary diagnosis results of ADHD can be obtained, but also the ADHD type information, ADHD severity information and ADHD comorbidity information can be obtained, thereby achieving a more comprehensive and accurate diagnosis of the user, greatly improving the objectivity, comprehensiveness and completeness of the diagnosis, and reducing the risk of further deterioration of the condition due to the failure of timely and comprehensive diagnosis of the user's disease information. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 is one of the schematic diagrams of the ADHD auxiliary diagnosis system provided by an embodiment of the present invention; Figure 2 This is the second schematic diagram of the ADHD auxiliary diagnosis system provided by an embodiment of the present invention; Figure 3 This is the third schematic diagram of the ADHD auxiliary diagnosis system provided by an embodiment of the present invention; Figure 4is a schematic diagram of a process for ADHD diagnosis provided by an embodiment of the present invention; Figure 5 is a schematic diagram of a head-mounted marker provided by an embodiment of the present invention; Figure 6 Schematic diagram of a neuropsychological test provided by an embodiment of the present invention.

[0019] Figure 7 This is the fourth schematic diagram of the ADHD auxiliary diagnosis system provided by an embodiment of the present invention; Figure 8 This is the fifth schematic diagram of the ADHD auxiliary diagnosis system provided by the embodiment of the present invention; Fig. 9 This is the sixth schematic diagram of the ADHD auxiliary diagnosis system provided by an embodiment of the present invention; Fig.10 This is the seventh schematic diagram of the ADHD auxiliary diagnosis system provided by the embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] The system of the embodiment of the present invention can be applied to the auxiliary diagnosis scenario of ADHD to achieve accurate and efficient auxiliary diagnosis of ADHD.

[0022] In the related art, the clinical diagnosis of ADHD requires a doctor's interview and observation, which consumes a lot of manpower and material resources and mainly relies on the subjective judgment of medical staff, resulting in low accuracy of ADHD diagnosis.

[0023] In the attention deficit and hyperactivity disorder (ADHD) auxiliary diagnosis system of the embodiment of the present invention, during the process of the neuropsychological test on the user by the neuropsychological test module, the eye tracker, inertial measurement unit and motion capture camera synchronously obtain the user's eye movement data, leg movement data and head movement data, and then the auxiliary diagnosis module can analyze the user's neuropsychological test data, the user's head movement data, leg movement data and eye movement data during the neuropsychological test, thereby achieving the effect of effectively improving the sensitivity and specificity of ADHD assessment based on multiple types of data such as psychological tests, eye movement data, leg movement data and head movement data; and through the ADHD auxiliary diagnosis system, not only the auxiliary diagnosis results of ADHD can be obtained, but also the ADHD type information, ADHD severity information and ADHD comorbidity information can be obtained, thereby achieving a more comprehensive and accurate diagnosis of the user, greatly improving the objectivity, comprehensiveness and completeness of the diagnosis, and reducing the risk of further deterioration of the condition due to the failure to timely and comprehensively diagnose the user's disease information.

[0024] Combine the following Figure 1-Figure 6 The technical solution of the present invention is described in detail with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0025] Figure 1 1 is a flow chart of an embodiment of an ADHD auxiliary diagnosis system provided by an embodiment of the present invention. Figure 1 As shown, the system provided in this embodiment includes: Eye tracker 102, neuropsychological test module 101, auxiliary diagnosis module 104, motion capture camera 103 and / or inertial measurement unit 100; wherein,

[0026] The neuropsychological test module 101 is used to perform a neuropsychological test on a user and obtain neuropsychological test data of the user; The inertial measurement unit 100 is used to obtain leg movement data of the user when performing neuropsychological testing; The eye tracker 102 is used to obtain eye movement data of the user when the user is taking a neuropsychological test; The motion capture camera 103 is used to obtain head movement data of the user when performing neuropsychological testing; The auxiliary diagnosis module 104 is used to determine auxiliary diagnosis information of ADHD based on neuropsychological test data, eye movement data, head movement data and / or leg movement data; the auxiliary diagnosis information of ADHD includes at least one of the following: auxiliary diagnosis of ADHD disease results, auxiliary diagnosis of ADHD type information, auxiliary diagnosis of ADHD severity information and auxiliary diagnosis of ADHD comorbidity information.

[0027] Specifically, the clinical diagnosis of ADHD usually requires a doctor's interview and observation, which consumes a lot of manpower and material resources, and mainly relies on the subjective judgment of medical staff, resulting in low accuracy of ADHD diagnosis. In order to solve the above problems, the ADHD auxiliary diagnosis system in the embodiment of the present invention realizes efficient and accurate auxiliary diagnosis of ADHD through the motion capture camera 103, the eye tracker 102, the neuropsychological test module 101 and the auxiliary diagnosis module 104, thereby improving the efficiency and accuracy of ADHD diagnosis.

[0028] Optionally, the ADHD auxiliary diagnosis system includes an eye tracker 102, a neuropsychological test module 101, an auxiliary diagnosis module 104, a motion capture camera 103 and / or an inertial measurement unit 100, wherein the neuropsychological test module 101 is used to perform a neuropsychological test on the user to obtain the user's neuropsychological test data related to the diagnosis of ADHD; optionally, the user can be tested for intelligence and cognition, and the user's performance difference in hot and cold executive function tasks can also be tested, thereby achieving a multi-dimensional and multi-level evaluation of the user; optionally, the eye tracker 102 is used for the user to perform a neuropsychological test when the user is taking the neuropsychological test , the user's eye gaze point data is obtained in real time and synchronously, the inertial measurement unit 100 is used to capture the user's leg movement data in real time when the user is undergoing a neuropsychological test, and the motion capture camera 103 is used to capture the user's head movement data in real time when the user is undergoing a neuropsychological test; that is, during the user's neuropsychological test, the user's eye movement data, leg movement data and head movement data are synchronously obtained, and then the auxiliary diagnosis module 104 can accurately and comprehensively determine the user's ADHD auxiliary diagnosis information by analyzing the user's neuropsychological test data, the user's head movement data and eye movement data during the neuropsychological test. Optionally, the auxiliary diagnosis module 104 can compare and analyze the obtained user's neuropsychological test data, the user's head movement data, leg movement data and eye movement data during the neuropsychological test with the standardized sample test results of normal users in the clinical process to determine the user's ADHD auxiliary diagnosis information. Optionally, after determining the ADHD auxiliary diagnosis information, medical personnel can learn from and refer to the ADHD auxiliary diagnosis information, and make a comprehensive judgment in combination with other information to achieve the purpose of assisting medical personnel in accurately diagnosing ADHD.

[0029] Optionally, the auxiliary diagnosis module 104 in the embodiment of the present application can not only output the ADHD disease result, that is, determine whether the user suffers from ADHD, but also output ADHD type information, ADHD severity information, and ADHD comorbidity information based on the user's neuropsychological test data, the head movement data during the user's neuropsychological test, the leg movement data, and the eye movement data. That is, based on the ADHD auxiliary diagnosis system in the present application, on the one hand, by obtaining multiple types of data such as psychological test data, eye movement data, leg movement data, and / or head movement data, the sensitivity and specificity of ADHD assessment can be effectively improved; on the other hand, through the ADHD auxiliary diagnosis system, not only the auxiliary diagnosis results of ADHD can be obtained, but also the ADHD type information, ADHD severity information, and ADHD comorbidity information can be obtained, which greatly improves the objectivity, comprehensiveness and completeness of the diagnosis, and reduces the risk of further deterioration of the condition due to the failure of timely and comprehensive diagnosis of the user's disease information.

[0030] Optionally, the accuracy of the user's head movement data captured by the motion capture camera in the embodiment of the present invention is greater than a first threshold, the accuracy of the user's eye gaze point data captured by the eye tracker is greater than a second threshold, and the accuracy of the user's leg movement data captured by the inertial measurement unit is greater than a third threshold. That is, through higher-precision eye trackers, inertial measurement units and motion capture cameras, the subject's gaze point position, leg movement position and / or head movement position can be tracked with higher accuracy and higher frame rate, and the subject's tiny movements can be recorded more comprehensively, so that more and more accurate feature indicators can be formulated and obtained, thereby improving the specificity and sensitivity of ADHD auxiliary diagnosis.

[0031] Alternatively, if Figure 2 and Figure 3 As shown, the ADHD auxiliary diagnosis system also includes a database and a printer, wherein the database is connected to the auxiliary diagnosis module so that the user's ADHD auxiliary diagnosis information can be stored in a timely and complete manner; the printer is connected to the auxiliary diagnosis module so that the user's ADHD auxiliary diagnosis information can be printed in a timely manner according to demand.

[0032] For example, Figure 3As shown, the ADHD auxiliary diagnosis system includes an eye movement module (such as an eye tracker), a leg movement module (such as an inertial measurement unit), a motion capture module (such as a motion capture camera), a screen, a PC host, ADHD auxiliary diagnosis software and a printer. The ADHD auxiliary diagnosis software is deployed in the PC host, and mainly includes neuropsychological testing, data processing and analysis, database, characteristic index calculation, diagnosis report generation, report display and printing, etc. Optionally, the eye movement module acquisition front end is fixed at the bottom edge of the screen and then tilted forward to track the eye movement in real time and obtain the position of the subject's gaze point on the screen. The leg movement module acquisition front end is fixed on the subject's leg. The motion capture module acquisition front end is above the interactive screen and then shoots the subject's head from above, tracking the position of the head mark point in real time. The subject's gaze point position on the screen, the subject's head mark point position, and the neuropsychological test data are all transmitted to the data processing and analysis module in the ADHD auxiliary diagnosis software for raw data preprocessing. After data preprocessing, the software calculates the characteristic indicators selected by the clinical study, and then generates the subject's auxiliary diagnosis report based on the norms established by the clinical study. The diagnosis report is displayed to the doctor and the report is printed out through the printer.

[0033] For example, Figure 4 The actual operation process of the ADHD auxiliary diagnosis system shown in the figure. During the actual test, the subject sits in front of the screen with a marker on his head and completes the neuropsychological test task through the screen and trigger (button). After the subject enters the evaluation room, he adjusts his sitting position, and then the doctor logs in to the ADHD auxiliary diagnosis software, enters the patient information, and then selects the corresponding task module. The task module includes neuropsychological testing, eye movement, leg movement and motion capture. Neuropsychological testing is the basic task module, and the rest are optional. When performing neuropsychological testing tasks, the selected eye movement, leg movement and motion capture modules will collect relevant data at the same time and save them synchronously. After the evaluation is completed (the neuropsychological test task is completed), the characteristic indicators selected by the clinical study are calculated through the subject's eye movement data, leg movement data, head movement data and neuropsychological test data, and then an evaluation report is generated according to the norms established by the clinical study. The doctor then issues a clinical diagnosis opinion based on the evaluation report.

[0034] For example, based on Figure 5 The head-mounted markers shown continuously collect the subject's gaze point coordinates and the spatial coordinates of the head-mounted markers, and calculate the eye movement feature indicators.

[0035] Exemplarily, during the process of acquiring neuropsychological test data, the subject holds a keypad and responds to stimulus images as required, for example, Figure 6As shown in the figure, the subjects pressed keys for target stimulus pictures other than the panda. The neuropsychological test lasted 7.5 minutes in total and was divided into 5 blocks. In each block, the stimulus pictures flashed at fixed time intervals in the center of the screen to obtain the neuropsychological test data of the subjects.

[0036] In the system of the above embodiment, during the process of the neuropsychological test on the user by the neuropsychological test module, the eye tracker, inertial measurement unit and / or motion capture camera synchronously obtain the user's eye movement data, leg movement data and head movement data, and then the auxiliary diagnosis module can analyze the user's neuropsychological test data, the user's head movement data, leg movement data and eye movement data during the neuropsychological test, thereby achieving the effect of effectively improving the sensitivity and specificity of ADHD assessment based on multiple types of data such as psychological tests, eye movement data, leg movement data and motion capture data; and through the ADHD auxiliary diagnosis system, not only the auxiliary diagnosis results of ADHD can be obtained, but also the ADHD type information, ADHD severity information, and ADHD comorbidity information can be obtained, thereby achieving a more comprehensive and accurate diagnosis of the user, greatly improving the objectivity, comprehensiveness and completeness of the diagnosis, and reducing the risk of further deterioration of the condition due to the failure to timely and comprehensively diagnose the user's disease information.

[0037] In one embodiment, the auxiliary diagnosis module is used to: The auxiliary diagnosis module is used to obtain characteristic indicators of neuropsychological tests based on neuropsychological test data; Based on the eye movement data, obtain eye movement feature indicators; Based on the leg motion data, leg motion features are obtained; Based on the head movement data, obtain head movement feature indicators; Based on characteristic indicators of neuropsychological tests, eye movement characteristic indicators, leg characteristics and / or head movement characteristic indicators, auxiliary diagnosis information for ADHD is obtained.

[0038] Specifically, the auxiliary diagnosis module is used to generate characteristic indicators of the neuropsychological test, eye movement characteristic indicators, leg movement characteristic indicators and / or head movement characteristic indicators based on the acquired user neuropsychological test data, head movement data, leg movement data and eye movement data during the user's neuropsychological test; and then based on the characteristic indicators of the neuropsychological test, eye movement characteristic indicators, leg movement characteristic indicators and / or head movement characteristic indicators, the user's ADHD auxiliary diagnosis information can be accurately determined; optionally, the characteristic indicators of the neuropsychological test of the tested user, the eye movement characteristic indicators and / or the head movement characteristic indicators can be compared and analyzed with the standardized sample test results of normal users in the clinical process to obtain the user's ADHD auxiliary diagnosis information. ADHD auxiliary diagnosis information; optionally, ADHD characteristic indicators that need to be analyzed and calculated can be constructed based on the analysis of psychological test data, eye movement data, leg movement data, and head movement data of ADHD patients of different types, different ages, different degrees of illness, and various comorbidities. For example, the frequency of head movement, the position of eye gaze points, and attention of ADHD patients during neuropsychological testing are used as ADHD characteristic indicators that need to be analyzed and calculated; and then, according to the calculation results of the user's ADHD characteristic indicators, the user's ADHD severity and other ADHD type auxiliary diagnosis information can be accurately determined. Optionally, the user's ADHD severity and ADHD type auxiliary diagnosis information can be determined according to the size of the user's ADHD characteristic indicator calculation results; optionally, the larger the ADHD characteristic indicator calculation result, the less focused the attention during the neuropsychological test and the greater the ADHD severity.

[0039] The system of the above-mentioned embodiment is based on analyzing the psychological test data, eye movement data, leg movement data and head movement data of ADHD patients of different types, different ages, different degrees of illness and various comorbidities, and constructing ADHD characteristic indicators that need to be analyzed and calculated. Then, based on the calculation results of the user's ADHD characteristic indicators, auxiliary diagnostic information of the user's ADHD severity and ADHD type can be obtained, thereby improving the accuracy of the ADHD diagnosis results.

[0040] In one embodiment, the auxiliary diagnosis module is used to obtain at least one of the following characteristic indicators of neuropsychological tests based on neuropsychological test data: The number of missed reports indicates the number of times the user did not respond to the target stimulus during the neuropsychological test; Missing report rate: The missing report rate represents the ratio of the number of missing reports to the number of target stimuli. The number of false alarms refers to the number of times the user gave feedback when the target stimulus did not appear. False alarm rate; The false alarm rate represents the ratio of the number of false alarms to the number of non-target stimuli; Reaction time: Reaction time refers to the interval from the appearance of the target stimulus to the user's feedback. Predicted trigger times; the predicted trigger times indicate the number of times the interval from the appearance of the target stimulus to the user's feedback is less than the threshold; Continuous trigger times: The continuous trigger times indicate the number of times the user repeatedly provides feedback during the neuropsychological test.

[0041] Specifically, the auxiliary diagnosis module in the embodiment of the present application is used to obtain the characteristic indicators of the neuropsychological test based on the neuropsychological test data, and then based on the characteristic indicators of the neuropsychological test, the user's ADHD auxiliary diagnosis information can be accurately determined; optionally, it can be based on the psychological test data of ADHD patients of different types, different ages, different degrees of illness and various comorbidities that have been diagnosed, and the characteristic indicators of the neuropsychological test that need to be analyzed and calculated can be constructed. Optionally, the characteristic indicators of the neuropsychological test in the embodiment of the present application include at least one of the following: the number of missed reports, the missed report rate, the number of false reports, the false report rate, the reaction time, the number of predicted triggers and the number of continuous triggers; wherein the number of continuous triggers indicates the number of times the user repeatedly gives feedback during the neuropsychological test; the number of missed reports indicates the number of times the user does not give feedback to the target stimulus during the neuropsychological test; the missed report rate indicates the ratio of the number of missed reports to the number of target stimuli; the number of false reports indicates the number of times the user gives feedback when the target stimulus does not appear; the false report rate indicates the ratio of the number of false reports to the number of non-target stimuli; the reaction time indicates the time from the appearance of the target stimulus to the user's response to the target stimulus. The interval time for giving feedback; the predicted trigger times indicate the number of times the interval time from the appearance of the target stimulus to the user giving feedback is less than the threshold; that is, by analyzing the psychological test data of ADHD patients of different types, ages, severity of illness and various comorbidities who have been diagnosed, we can specifically construct the ADHD characteristic indicators such as the number of missed reports, missed report rate, number of false alarms, false alarm rate, reaction time, predicted trigger times and continuous trigger times required in the ADHD diagnosis process, and then according to the constructed various ADHD characteristic indicators, we can also achieve a comprehensive, accurate, effective and more targeted diagnosis of the test users, thereby improving the diagnostic accuracy of ADHD patients.

[0042] The method of the above embodiment, by analyzing the psychological test data of confirmed ADHD patients, thus constructing ADHD characteristic indicators such as the number of missed reports, missed report rate, number of false reports, false report rate, reaction time, number of predicted triggers and number of continuous triggers required in the ADHD diagnosis process. Then, according to the characteristic indicators of various neuropsychological tests of the test users, a comprehensive, accurate, effective and more targeted diagnosis of the test users can be achieved, thereby improving the diagnostic accuracy of ADHD patients.

[0043] In one embodiment, the auxiliary diagnosis module is used to obtain at least one of the following eye movement characteristic indicators based on the eye movement data: Gaze range: Gaze range is used to indicate the area where the user is looking during the neuropsychological test. Gaze duration: Gaze duration is used to indicate the total time that the user's gaze point remains on the screen during the neuropsychological test. Regional fixation dwell time ratio: Regional fixation dwell time ratio is used to indicate the proportion of time that the user's gaze point stays in each area of ​​the screen during the neuropsychological test; The number of target fixation switches for a single task is used to indicate the number of times the user's gaze point switches between various areas of the screen in a single set of neuropsychological test tasks.

[0044] Specifically, the eye movement characteristic index in the embodiment of the present application includes at least one of the following: gaze range, gaze duration, regional gaze dwell time ratio and single group task target gaze switching number; wherein, the single group task target gaze switching number is used to indicate the number of times the user's gaze point switches between various areas of the screen in a single group of neuropsychological test tasks; the gaze range is used to indicate the area of ​​the area where the user gazes during the neuropsychological test; the gaze duration is used to indicate the total time the user's gaze point is maintained in the screen area during the neuropsychological test; the regional gaze dwell time ratio is used to indicate the time ratio of the user's gaze point staying in various areas of the screen during the neuropsychological test. That is, by analyzing the eye movement data of ADHD patients of different types, different ages, different degrees of illness and various comorbidities, the eye movement characteristic indicators such as gaze range, gaze duration, regional gaze dwell time ratio and single group task target gaze switching number required in the ADHD diagnosis process are specifically constructed, and then according to the constructed eye movement characteristic indicators, a comprehensive, accurate, effective and more targeted diagnosis of the test user can be achieved, thereby improving the diagnostic accuracy of ADHD patients.

[0045] The method of the above embodiment, by analyzing the eye movement data of ADHD patients of different types, different ages, different degrees of illness and various comorbidities, specifically constructs eye movement characteristic indicators such as gaze range, gaze duration, proportion of regional gaze dwell time and number of gaze switching times for a single group of task targets required in the ADHD diagnosis process. Then, based on the various eye movement characteristic indicators of the test users, a comprehensive, accurate, effective and more targeted diagnosis of the test users can be achieved, thereby improving the diagnostic accuracy of ADHD patients.

[0046] In one embodiment, the auxiliary diagnosis module is used to obtain at least one of the following leg movement characteristics based on the leg movement data: Leg movement frequency: Leg movement frequency is used to indicate the frequency of the user's leg movements during neuropsychological testing; Leg movement amplitude: Leg movement amplitude is used to indicate the amplitude of the user's leg movement during neuropsychological testing; Specifically, the leg movement characteristics in the embodiments of the present application include at least one of the following: leg movement frequency, leg movement amplitude; wherein the leg movement frequency is used to indicate the frequency of the user's leg movements during the neuropsychological test; the leg movement amplitude is used to indicate the amplitude of the user's leg movements during the neuropsychological test; that is, by analyzing the leg movement data of ADHD patients of different types, different ages, different degrees of illness and various comorbidities who have been diagnosed, the leg movement characteristics such as leg movement frequency and leg movement amplitude required in the ADHD diagnosis process are specifically constructed, and then according to the constructed leg movement characteristics, a comprehensive, accurate, effective and more targeted diagnosis of the test user can be achieved, thereby improving the diagnostic accuracy of ADHD patients.

[0047] The method of the above embodiment, by analyzing the leg movement data of ADHD patients of different types, different ages, different degrees of illness and various comorbidities, specifically constructs the leg movement frequency and leg movement amplitude characteristics required in the ADHD diagnosis process, and then according to the various leg movement characteristics of the test users, a comprehensive, accurate, effective and more targeted diagnosis of the test users can be achieved, thereby improving the diagnostic accuracy of ADHD patients.

[0048] In one embodiment, the auxiliary diagnosis module is used to obtain at least one of the following head movement characteristic indicators based on the head movement data: Movement distance: Movement distance is used to indicate the total movement distance of the user's head markers during the neuropsychological test; Range of motion: The range of motion is used to represent the spatial volume formed by the trajectory of the user's head markers during neuropsychological testing; Movement speed: Movement speed is used to indicate the average speed of the user's head movement during the neuropsychological test; Maximum movement speed: The maximum movement speed is used to indicate the maximum value of the user's head movement speed during the neuropsychological test; Movement count: Movement count is used to indicate the number of times the user's head movement speed exceeds the threshold during the neuropsychological test.

[0049] Specifically, the head movement characteristic indicators in the embodiments of the present application include at least one of the following: movement distance, movement range, movement speed, maximum movement speed and number of movements; wherein the movement number indicator is used to indicate the number of times the user's head movement speed exceeds a threshold during the neuropsychological test; the movement distance is used to indicate the total movement distance of the user's head mark points during the neuropsychological test; the movement range indicator is used to indicate the spatial volume formed by the trajectory of the user's head mark points during the neuropsychological test; the movement speed indicator is used to indicate the average value of the user's head movement speed during the neuropsychological test; the maximum movement speed indicator is used to indicate the maximum value of the user's head movement speed during the neuropsychological test; that is, by analyzing the head movement data of ADHD patients of different types, different ages, different degrees of illness and various comorbidities who have been diagnosed, the head movement characteristic indicators such as movement distance, movement range, movement speed, maximum movement speed and number of movements required in the ADHD diagnosis process are specifically constructed, and then according to the constructed head movement characteristic indicators, a comprehensive, accurate, effective and more targeted diagnosis of the test user can be achieved, thereby improving the diagnostic accuracy of ADHD patients.

[0050] The system of the above-mentioned embodiment analyzes the head movement data of ADHD patients of different types, different ages, different degrees of illness and various comorbidities, so as to construct the head movement characteristic indicators such as movement distance, movement range, movement speed, maximum movement speed and number of movements required in the ADHD diagnosis process. Then, according to the various head movement characteristic indicators of the test users, a comprehensive, accurate, effective and more targeted diagnosis of the test users can be achieved, thereby improving the diagnostic accuracy of ADHD patients.

[0051] In one embodiment, the ADHD comorbidity information includes at least one of the following: tic disorders, autism spectrum disorders, and oppositional defiant disorder; The auxiliary diagnosis module is used to determine whether the ADHD comorbidity information of the auxiliary diagnosis includes tic disorder based on the head movement characteristic index and / or the leg movement characteristic index; The auxiliary diagnosis module is used to determine whether the ADHD comorbidity information for auxiliary diagnosis includes autism spectrum disorder based on eye movement feature indicators; The auxiliary diagnosis module is used to determine whether the ADHD comorbidity information of the auxiliary diagnosis includes oppositional defiant disorder based on eye movement feature indicators, head movement feature indicators and / or leg movement feature indicators.

[0052] Specifically, in the implementation of the present invention, the ADHD auxiliary diagnosis system can not only obtain the auxiliary diagnosis results of ADHD, but also obtain ADHD type information, ADHD severity information, and ADHD comorbidity information, thereby achieving a more comprehensive and accurate diagnosis of the user, greatly improving the objectivity, comprehensiveness and completeness of the diagnosis, and reducing the risk of further deterioration of the condition caused by the user's illness information not being timely and comprehensively diagnosed. Optionally, ADHD comorbidity includes at least one of the following: oppositional defiant disorder, conduct disorder, depressive disorder, anxiety disorder, learning disorder, tic disorder, sleep disorder and autism spectrum disorder. Optionally, the head movement data and leg movement data of the tic disorder patients in the confirmed ADHD comorbidity can be analyzed, so as to construct the head movement characteristic index and / or leg movement characteristic index of the tic disorder patients in the ADHD comorbidity, and then based on the head movement data and leg movement data of the test user, it can be accurately determined whether the test user suffers from ADHD comorbidity. Optionally, the eye movement data of the confirmed patients with autism spectrum disorder in ADHD comorbidity can be analyzed to construct the eye movement characteristic index of the patients with autism spectrum disorder in ADHD comorbidity, and then based on the eye movement data of the test user, it can be accurately determined whether the test user suffers from ADHD comorbidity. Optionally, the eye movement data, leg movement data and head movement data of the confirmed patients with oppositional defiant disorder in ADHD comorbidity can be analyzed to construct the eye movement characteristic index, leg movement characteristic index and / or head movement characteristic index of the patients with oppositional defiant disorder in ADHD comorbidity, and then based on the eye movement data, leg movement data and head movement data of the test user, it can be accurately determined whether the test user suffers from ADHD comorbidity, thereby achieving a more comprehensive and accurate diagnosis of users with ADHD comorbidity, greatly improving the objectivity, comprehensiveness and completeness of the diagnosis, and reducing the risk of further deterioration of the condition due to the failure of timely and comprehensive diagnosis of the user's disease information.

[0053] The system of the above-mentioned embodiment constructs various types of ADHD comorbidity characteristic indicators based on the analysis of the eye movement data, leg movement data and head movement data of confirmed ADHD comorbidity patients, and then accurately determines whether the test user suffers from ADHD comorbidity based on the ADHD comorbidity characteristic indicators corresponding to the test user, thereby achieving a more comprehensive and accurate diagnosis of the test user, greatly improving the objectivity, comprehensiveness and completeness of the diagnosis, and reducing the risk of further deterioration of the condition due to the failure to timely and comprehensively diagnose the user's disease information.

[0054] In one embodiment, the auxiliary diagnosis module is used to determine ADHD type information for auxiliary diagnosis based on characteristic indicators of neuropsychological tests.

[0055] Specifically, in the embodiment of the present application, the psychological test data of the diagnosed ADHD patients of various types are analyzed to construct the psychological test characteristic indicators corresponding to the various types of ADHD patients. Then, based on the psychological test characteristic indicators corresponding to the test users, the ADHD type suffered by the test users can be accurately determined. Then, targeted treatment can be carried out according to the ADHD type suffered by the users, thereby improving the treatment effect of ADHD patients.

[0056] In one embodiment, the test task display unit in the neuropsychological test module is used to display the test tasks of the neuropsychological test to the user based on the user's age and the user's cognitive development level; the test tasks include two types of cold and hot executive function tasks; Test task response unit: The test task response unit is used to obtain test data of neuropsychological test in response to user operation.

[0057] Specifically, in order to solve the problems of misdiagnosis and missed diagnosis in the diagnosis of ADHD and to improve the pertinence and rationality of neuropsychological tests related to ADHD, the neuropsychological test module in the embodiment of the present invention conducts neuropsychological tests on users based on the user's age, the user's cognitive development level and the difference in the user's performance on the hot and cold executive function tasks. That is, in the process of conducting neuropsychological tests related to ADHD, the neuropsychological test tasks are set in a targeted manner according to the age, intelligence and cognitive status of the tested user, and the test of the user on the hot and cold executive function tasks and the analysis of the difference between the user on the hot and cold executive function tasks are added, thereby realizing the testing and evaluation of children from multiple dimensions and levels such as age, cognitive development level, and difference in the development of hot and cold executive functions, thereby improving the pertinence, rationality and comprehensiveness of neuropsychological tests related to ADHD, and then through the analysis of neuropsychological test data related to ADHD, more accurate ADHD auxiliary diagnosis results can be obtained, avoiding misdiagnosis and missed diagnosis of ADHD.

[0058] Optionally, the test task display unit can be an electronic display screen, that is, the user neuropsychological test tasks related to ADHD diagnosis that need to be tested can be displayed to the user through the electronic display screen; optionally, the test task answering unit can be a trigger such as a mouse, so that after the user views the user neuropsychological test tasks related to ADHD diagnosis displayed in the test task display unit, the user can complete the answer to the test task through the test task answering unit, thereby quickly and accurately implementing the neuropsychological test of the user.

[0059] The system of the above-mentioned embodiment sets neuropsychological test tasks in a targeted manner according to the age, intelligence and cognitive status of the tested user, and adds testing of users on two types of executive function tasks, namely hot and cold, and analysis of the differences between users on these two types of executive function tasks, thereby achieving multi-dimensional and multi-level testing and evaluation of children from age, cognitive development level, hot and cold executive function development differences, etc., improving the targetedness, rationality and comprehensiveness of neuropsychological tests related to ADHD, and overcoming the misdiagnosis and missed diagnosis in the diagnosis of ADHD.

[0060] In one embodiment, the test task display unit is fixed in front of the user through a bracket arm connected to the bracket; the eye tracker is fixed to the lower edge of the test task display unit and is arranged forward; the inertial measurement unit is fixed to the user's leg; and the motion capture camera is fixed to the top of the bracket.

[0061] Specifically, the connection relationship between the modules of the ADHD auxiliary diagnosis system can be as follows: Figure 2 As shown, the test task display unit is fixed in front of the user through a bracket arm connected to the bracket, so that the user can easily and clearly view the displayed neuropsychological test tasks and answer them; the eye tracker is fixed on the lower edge of the test task display unit and is arranged forward, so that the user's eye movement data can be accurately captured; the inertial measurement unit is fixed on the user's legs, so that the user's leg movement data can be accurately captured; the motion capture camera is fixed on the top of the bracket, so that the motion capture camera is located above the user and can accurately capture the user's head movement data. Through the connection of the above modules, the user's neuropsychological test data and eye movement data, leg movement data and head movement data can be accurately, quickly and effectively captured and obtained, which improves the efficiency and accuracy of ADHD diagnosis.

[0062] In the system of the above embodiment, the test task display unit is fixed in front of the user by a bracket arm connected to the bracket, the eye tracker is fixed to the lower edge of the test task display unit and is arranged forward, the inertial measurement unit is fixed to the user's legs, and the motion capture camera is fixed to the top of the bracket, so that the user's neuropsychological test data and eye movement data, leg movement data and head movement data can be captured and obtained accurately, quickly and effectively, thereby improving the efficiency and accuracy of ADHD diagnosis.

[0063] In one embodiment, the inertial measurement unit includes a gyroscope; the motion capture camera includes a light-sensitive camera; the eye tracker is fixed to the upper part of the display of the neuropsychological testing module; the light-sensitive camera is fixed to the upper part of the fixed rod connected to the display, and is used to collect motion data of the light-sensitive ball above the user's head; and the gyroscope is fixed to the user's leg.

[0064] Specifically, Figure 7-10As shown, the inertial measurement unit in the embodiment of the present application can be a gyroscope, and the subject wears the gyroscope to record the subject's leg movement or shaking, and analyze the degree of the subject's ADHD. Optionally, the motion capture camera in the implementation of the present application can be a photosensitive camera, which captures the movement of the subject wearing a photosensitive ball on the head, analyzes the movement trajectory of the photosensitive ball, and determines whether the subject suffers from ADHD.

[0065] Exemplarily, before using the ADHD auxiliary diagnosis system to diagnose ADHD, the various components of the device need to be assembled. The device has an assembly rack 7, and the assembly rack may optionally include a fixing rod. Optionally, the computer host 5 can be installed on the rack platform 8 first, and the printer 6 can be fixed on the computer host fixing box 9; the operating table 10 is fixed to the aluminum alloy square tube 11 on the rack platform 8 by screws; in the same way, the display 12 is fixed to the aluminum alloy square tube 11 by screws. The eye tracker 1 is installed on the display 12 and fixed by a card slot; the photosensitive camera 3 is installed on the crossbeam 13 connected to the fixing rod. In order to maintain the overall balance and ensure that the smooth ball head 16 on the photosensitive ball head cover 2 can be accurately captured by the photosensitive camera 3 at different angles, it is necessary to arrange four photosensitive cameras 3 symmetrically, two on each side, for a total of four; finally, the keyboard 14, the mouse 15, and the gyroscope bandage 4 are connected to the computer host; all installations are completed, and the equipment lines are checked to see if they are fully connected, and the installation is completed.

[0066] Exemplarily, the specific process of a user performing ADHD diagnosis is as follows: (1) The subject sits on a chair 17 and puts on a photosensitive ball headgear 2, which has three glossy balls 16.

[0067] (2) The gyroscope bandage 4 is fixed to the subject's leg, such as the thigh or calf, and the fixing method can be through the Velcro on the gyroscope bandage 4.

[0068] (3) Turn on the computer host 6, and the medical staff can select the test CPT program through the computer mouse 15.

[0069] (4) According to the prompt on the computer monitor 12, the subject's seat height is adjusted by 17 degrees.

[0070] (5) By moving the mouse and clicking the camera lens automatic capture device on the display, the light-sensitive camera 3 can capture the glossy ball 16.

[0071] (6) The medical staff clicks the diagnosis main program icon on the computer display 12, and the main program starts running.

[0072] (7) The medical staff uses a computer mouse 15 to open the test questions (or small games, cartoons) prepared for subjects of different ages and allows the subjects to operate (or watch).

[0073] (8) After the test program has been running for 2 minutes, it will officially start recording the parameters of the subject's eyes, legs, and head. The entire program will run for 10 minutes. The computer CPT program will automatically analyze the data and produce a CPT data report for the subject, which will be stored in a designated file on the computer.

[0074] (9) After the diagnosis is completed, the medical staff will remove the subject's photosensitive ball headgear 2 and gyroscope bandage 4 in turn.

[0075] (10) After completing the diagnosis of the subject, the medical staff can click the computer mouse 15 to print the diagnosis results.

[0076] (11) Based on the diagnostic results, it can be determined whether the subject suffers from attention deficit hyperactivity disorder and the severity of the attention deficit hyperactivity disorder.

[0077] In the above embodiment, the device has a simple structure, fast data analysis, strong anti-interference ability, and simple operation. Ordinary medical personnel can quickly master the operation method of the device, and the subject can collect data in a relaxed environment without any sense of oppression when accepting data collection. Through this device, the subject's behavior can be more quickly and conveniently scientifically collected and calculated; it can preliminarily judge whether the subject suffers from attention deficit and hyperactivity disorder, and can provide strong evidence for medical staff to judge, improve the efficiency and accuracy of diagnosis, greatly improve the objectivity, comprehensiveness and integrity of diagnosis, and reduce the risk of medical staff misjudgment of the subject due to the failure of the subject's information to be captured in a timely and comprehensive manner, miss the best treatment period, and cause the condition to further deteriorate. That is, through the device in the embodiment of the present application, the objective performance of patients with attention deficit and hyperactivity disorder can be collected, and scientific data processing technology can be applied to output objective data, which greatly narrows the judgment gap between different medical staff, and the monitoring data of the comprehensive equipment can better make a scientific diagnosis of the patient's condition, which helps medical staff to make a scientific diagnosis and treatment plan for the patient, so that the patient can recover quickly. Exemplarily, an embodiment of the present application provides an attention deficit and hyperactivity disorder (ADHD) auxiliary diagnosis method, which is applied to an ADHD auxiliary diagnosis system and is characterized by comprising: Obtaining neuropsychological test data, eye movement data, head movement data, and / or leg movement data of a user when the user is undergoing a neuropsychological test; Based on neuropsychological test data, eye movement data, head movement data and / or leg movement data, determine the user's ADHD auxiliary diagnosis information; the ADHD auxiliary diagnosis information includes at least one of the following: auxiliary diagnosis of ADHD disease results, auxiliary diagnosis of ADHD type information, auxiliary diagnosis of ADHD severity information and auxiliary diagnosis of ADHD comorbidity information.

[0078] The attention deficit and hyperactivity disorder (ADHD) auxiliary diagnosis method in the embodiment of the present application and the attention deficit and hyperactivity disorder (ADHD) auxiliary diagnosis system described above can refer to each other, and their implementation principles and technical effects are similar, which will not be repeated here.

[0079] The ADHD auxiliary diagnosis system in the embodiment of the present application can achieve high-precision, high-frame-rate tracking of the subject's gaze point position, leg movement position and head movement position based on the eye movement module, leg movement module and motion capture module, and can record the subject's micro-movements more comprehensively. Then, based on the common behavioral characteristics of ADHD and co-morbid patients, combined with clinical research, a large number of multi-dimensional feature indicators that are strongly related to ADHD and co-morbid symptoms can be formulated and screened. The higher the accuracy of the eye movement, leg movement and head movement data, the greater the acquisition frame rate, and the more feature indicators that can be formulated. The common clinical feature indicators calculated based on this can also effectively improve the specificity and sensitivity of the diagnosis. Relevant clinical studies have shown that the auxiliary diagnosis system has a sensitivity and specificity of more than 90% for ADHD, and can effectively distinguish ADHD subtypes and co-morbidities, including tic disorders, autism spectrum disorder (ASD) and oppositional defiant.

[0080] The ADHD auxiliary diagnosis system in the embodiment of the present application can achieve high-precision capture of the subject's head movements based on optical motion capture technology, with an accuracy of sub-millimeter level. The objective characteristic indicators calculated based on high-accuracy and high-precision head movement data can effectively improve the sensitivity and specificity of ADHD, tics, and oppositional defiant auxiliary diagnosis. Optionally, based on eye tracking technology, by continuously acquiring the subject's gaze point position on the interactive screen and calculating relevant objective characteristic indicators, the sensitivity and specificity of ADHD, ASD, and oppositional defiant auxiliary diagnosis can be effectively improved. Optionally, based on acceleration and angular velocity measurement technology, high-precision capture of the subject's leg movements can be achieved, which can effectively improve the sensitivity and specificity of ADHD, tics, and oppositional defiant auxiliary diagnosis. Optionally, based on neuropsychological test tasks divided by age groups, screens and buttons are provided for users to complete interactive tests. Objective characteristic indicators related to CPT are calculated and obtained based on the test results. After inputting the norms established by clinical research, ADHD severity and subtypes can be independently assisted in diagnosis, with a sensitivity and specificity of more than 90%, and the age range of the subjects is 5 to 18 years old and above. The present invention simplifies the data acquisition module, which only includes a neuropsychological test task module, an optical motion capture module, an inertial measurement module, and an eye tracking module, which can effectively improve the sensitivity and specificity of ADHD auxiliary diagnosis, both of which are more than 90%, and the characteristic indicators calculated based on the collected high-precision and high-accuracy data can assist in the diagnosis of tics, ASD, and oppositional defiant.

[0081] The ADHD auxiliary diagnosis system in the embodiment of the present application streamlines the auxiliary diagnosis system components, constructs a screen-button interactive neuropsychological test, high-precision motion capture and eye tracking function hardware platform, obtains high-precision and high-accuracy multimodal data, and then calculates the objective characteristic indicators selected according to clinical research, and finally gives the ADHD assessment model results through the norms established by clinical research. Relevant clinical studies have shown that the auxiliary diagnosis system protected by this patent has a sensitivity and specificity of more than 90% for ADHD, and can effectively distinguish the severity, subtypes and comorbidities of ADHD, including tic disorders, autism spectrum disorder (ASD) and oppositional defiant.

[0082] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0083] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An attention deficit and hyperactivity disorder (ADHD) auxiliary diagnosis system, characterized in that: include: An eye tracker, a neuropsychological test module, an auxiliary diagnosis module, a motion capture camera and / or an inertial measurement unit; the motion capture camera, the eye tracker, the inertial measurement unit, the neuropsychological test module are connected to the auxiliary diagnosis module respectively; wherein, The neuropsychological test module is used to perform a neuropsychological test on the user and obtain the user's neuropsychological test data; The eye tracker is used to obtain eye movement data of the user when performing neuropsychological tests; The inertial measurement unit is used to obtain leg movement data of the user when performing neuropsychological testing; The motion capture camera is used to obtain head movement data of the user when performing neuropsychological testing; The auxiliary diagnosis module is used to determine ADHD auxiliary diagnosis information based on the neuropsychological test data, eye movement data, head movement data and / or leg movement data; the ADHD auxiliary diagnosis information includes at least one of the following: auxiliary diagnosis of ADHD disease results, auxiliary diagnosis of ADHD type information, auxiliary diagnosis of ADHD severity information and auxiliary diagnosis of ADHD comorbidity information.

2. The ADHD auxiliary diagnosis system according to claim 1, characterized in that: The auxiliary diagnosis module is used for: Based on the neuropsychological test data, obtaining characteristic indicators of the neuropsychological test; Based on the eye movement data, obtaining an eye movement feature index; Based on the leg motion data, obtaining a leg motion characteristic index; Based on the head movement data, obtaining a head movement characteristic index; Based on the characteristic index of the neuropsychological test, the eye movement characteristic index, the leg movement characteristic index and / or the head movement characteristic index, the ADHD auxiliary diagnosis information is obtained.

3. The ADHD auxiliary diagnosis system according to claim 1 or 2, characterized in that: The auxiliary diagnosis module is used to obtain at least one of the following characteristic indicators of neuropsychological tests based on the neuropsychological test data: The number of missed reports; the number of missed reports indicates the number of times the user did not respond to the target stimulus during the neuropsychological test; Missing report rate; the missing report rate represents the ratio of the number of missing reports to the number of target stimulations; The number of false alarms refers to the number of times the user gives feedback when the target stimulus does not appear; False alarm rate; the false alarm rate represents the ratio of the number of false alarms to the number of non-target stimuli; Reaction time; the reaction time refers to the interval from the appearance of the target stimulus to the user's feedback; Predicted trigger times; the predicted trigger times represent the number of times the interval from the appearance of the target stimulus to the user's feedback is less than a threshold; Number of consecutive triggers; The number of consecutive triggers indicates the number of times the user repeatedly provides feedback during the neuropsychological test.

4. The ADHD auxiliary diagnosis system according to claim 1 or 2, characterized in that: The auxiliary diagnosis module is used to obtain at least one of the following eye movement characteristic indicators based on the eye movement data: Gaze range; the gaze range is used to represent the area where the user gazes during the neuropsychological test; The duration of fixation is used to indicate the total time that the user's fixation point is maintained in the screen area during the neuropsychological test; Regional fixation dwell time ratio; the regional fixation dwell time ratio is used to indicate the time ratio of the user's fixation point staying in each area of ​​the screen during the neuropsychological test; The number of target fixation switches for a single task is used to indicate the number of times the user's fixation point switches between various areas of the screen in a single neuropsychological test task.

5. The ADHD auxiliary diagnosis system according to claim 1 or 2, characterized in that: The auxiliary diagnosis module is used to obtain at least one of the following leg movement characteristic indicators based on the leg movement data: Leg movement frequency; the leg movement frequency is used to indicate the frequency of the user's leg movements during the neuropsychological test; Leg movement amplitude; the leg movement amplitude is used to indicate the amplitude of the user's leg movement during the neuropsychological test.

6. The ADHD auxiliary diagnosis system according to claim 1 or 2, characterized in that: The auxiliary diagnosis module is used to obtain at least one of the following head movement characteristic indicators based on the head movement data: Movement distance; the movement distance is used to represent the total movement distance of the user's head marker during the neuropsychological test; Movement range; the movement range is used to represent the spatial volume formed by the trajectory of the user's head markers during the neuropsychological test; Movement speed; the movement speed is used to represent the average speed of the user's head movement during the neuropsychological test; Maximum movement speed; the maximum movement speed is used to indicate the maximum value reached by the user's head movement speed during the neuropsychological test; Movement number; the movement number is used to indicate the number of times the user's head movement speed exceeds a threshold during a neuropsychological test.

7. The ADHD auxiliary diagnosis system according to claim 2, characterized in that: The ADHD comorbidity information includes at least one of the following: tic disorders, autism spectrum disorders, and oppositional defiant disorder; The auxiliary diagnosis module is used to determine whether the ADHD comorbidity information of the auxiliary diagnosis includes tic disorder based on the leg movement characteristic index and / or the head movement characteristic index; The auxiliary diagnosis module is used to determine whether the ADHD comorbidity information of the auxiliary diagnosis includes autism spectrum disorder based on the eye movement feature index; The auxiliary diagnosis module is used to determine whether the ADHD comorbidity information of the auxiliary diagnosis includes oppositional defiant disorder based on the eye movement feature index, the leg movement feature index and / or the head movement feature index.

8. The ADHD auxiliary diagnosis system according to claim 2, characterized in that: The auxiliary diagnosis module is used to determine the ADHD type information of the auxiliary diagnosis based on the characteristic indicators of the neuropsychological test.

9. The ADHD auxiliary diagnosis system according to claim 1 or 2, characterized in that: The neuropsychological testing module includes: A test task display unit; the test task display unit is used to display the test tasks of the neuropsychological test to the user based on the user's age and the user's cognitive development level; the test tasks include two types of cold and hot executive function tasks; A test task answering unit; the test task answering unit is used to obtain the test data of the neuropsychological test in response to the user's operation; the test task display unit is connected to the test task answering unit.

10. The ADHD auxiliary diagnosis system according to claim 9, characterized in that: The test task display unit is fixed in front of the user through a bracket arm connected to the bracket; the eye tracker is fixed on the lower edge of the test task display unit and is arranged forward; the motion capture camera is fixed on the top of the bracket.

11. The ADHD auxiliary diagnosis system according to claim 1, characterized in that: The inertial measurement unit includes a gyroscope; the motion capture camera includes a light-sensitive camera; the eye tracker is fixed on the upper part of the display of the neuropsychological test module; the light-sensitive camera is fixed on the upper part of the fixed rod connected to the display, and is used to collect the motion data of the light-sensitive ball on the user's head; The gyroscope is fixed to the user's leg.

12. A method for assisting diagnosis of attention deficit hyperactivity disorder (ADHD), characterized in that: The ADHD auxiliary diagnosis system according to any one of claims 1 to 11, characterized in that it comprises: Obtaining neuropsychological test data, eye movement data, head movement data, and / or leg movement data of a user when the user is undergoing a neuropsychological test; Based on the neuropsychological test data, eye movement data, head movement data and / or leg movement data, the user's ADHD auxiliary diagnosis information is determined; the ADHD auxiliary diagnosis information includes at least one of the following: auxiliary diagnosis of ADHD disease results, auxiliary diagnosis of ADHD type information, auxiliary diagnosis of ADHD severity information and auxiliary diagnosis of ADHD comorbidity information.

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