CN106256312A - Cognitive dysfunction evaluating apparatus - Google Patents
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- CN106256312A CN106256312A CN201510333337.9A CN201510333337A CN106256312A CN 106256312 A CN106256312 A CN 106256312A CN 201510333337 A CN201510333337 A CN 201510333337A CN 106256312 A CN106256312 A CN 106256312A
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Abstract
The invention provides a kind of cognitive dysfunction evaluating apparatus, including test device, test device includes showing the Tip element of the test event evaluating cognitive dysfunction and the eyes of detection testee and the detector unit of finger motion to testee；Control device, control device and include obtaining the described eyes by test device detection and the acquiring unit of data of finger motion, and the evaluation unit of the degree according to the cognitive dysfunction of the data evaluation testee of eyes and finger motion.The cognitive dysfunction evaluating apparatus of the present invention, while carrying out body kinematics detection, collects the eye movement data of measured, judges whether measured suffers from cognitive dysfunction in conjunction with both aggregation of data, thus improves evaluation precision.
Description
Technical field
The present invention relates to a kind of cognitive dysfunction evaluating apparatus.
Background technology
Along with increasingly sharpening of social senilization, cognitive dysfunction, particularly stages alzheimer's disease are that main patient's number is not yet
Disconnected rising.The whole world is administered and is nursed the expense of Cognitive Dysfunction Patients every year and exceedes 604,000,000,000 dollars, provides including for it
Health and the expense of Social Nursing and Cognitive Dysfunction Patients and the revenue losses of care-giver thereof.Early diagnosis goes out cognitive disorder
And treat in time, it has also become an important problem.
The diagnosis of cognitive disorder, initial stage is typically by MMSE (Mini Mental State Examination), FAB
The doctor such as (Frontal Assessment Battery) or MoCA (Montreal Cognitive Assessment) asks
The form examined.These methods are typically all by the way of question and answer, and answer based on the person of being asked is marked.But, ask
During answering, doctor easily produces supervisor and judges, the technical merit of doctor also can produce impact to judged result.
In order to enable low cost, objective early diagnosis goes out cognitive dysfunction, if document 1 is based on the flat board electricity with touch screen
Brief appraisal device on brain or microcomputer is developed.
[document 1]
International application no: PCT/JP2013/074582；
Denomination of invention: disordered brain function evaluation methodology, disordered brain function evaluating apparatus and code thereof
Disordered brain function disclosed in document 1 evaluates system, is to allow measured implement health spy according to the prompting provided in screen
Determine the motion at position, by calculating the data of the body kinematics of measured, analyze the cognitive dysfunction degree of measured.But
It is that measured is slow in action or reason in terms of other limbs due to the nervous and maloperation that causes or due to older
Easily evaluation result is impacted.
Summary of the invention
In view of the above problems, the present invention provides a kind of cognitive disorder evaluating apparatus, while carrying out body kinematics detection, receives
In conjunction with both aggregation of data, the eye movement data of collection measured, judges whether measured suffers from cognitive dysfunction.And draw
Enter weighted analysis, be weighted averagely for the data obtained on screen diverse location, thus improve evaluation precision.
The present invention completes in view of solving above-mentioned the problems of the prior art, according to an aspect of the invention, it is provided
A kind of cognitive dysfunction evaluating apparatus, including
Test device, described test device includes showing the carrying of test event evaluating cognitive dysfunction to described testee
Show unit and detect eyes and the detector unit of finger motion of described testee,
Controlling device, described control device includes obtaining the described eyes by the detection of described test device and the number of finger motion
According to acquiring unit, and the cognitive dysfunction according to testee described in the data evaluation of described eyes and finger motion
The evaluation unit of degree,
Wherein, described test event is with the first predetermined time interval display reminding figure, and indicates described testee to click on
Described prompting figure.
According to another aspect of the present invention, described detector unit farther includes
Ocular movement detector unit, described ocular movement detector unit detects the time series motion of the eyes of described testee
Track；
Finger motion detector unit, described finger motion detector unit detects position and the time that described testee clicks on.
According to another aspect of the present invention, described control device farther includes
Test event signal generating unit, described test event signal generating unit generates described test event and is sent to described test device；
Computing unit, described computing unit calculates the test of described testee according to the data of described eyes and finger motion
Data, described test data include eye-movement velocity, finger motion speed and finger motion accuracy,
Wherein, described ocular movement speed (Mt) it is the eye gaze moment (t to described prompting figure of described testeei)
Moment (the τ occurred with described prompting figurei) time interval；Described finger motion speed (MT) it is described testee point
Hit the moment (T of described prompting figurei) with the moment (t of the eyeball fixes of described testee to described prompting figurei) time
Between be spaced；Described finger motion accuracy (MD) it is the centre bit of position and described prompting figure that described testee clicks on
The deviation put.
According to another aspect of the present invention, described test event signal generating unit generates judgement project, described judgement item further
Mesh judges figure with the second predetermined time interval display and indicates described testee to watch described judgement figure, described evaluation list
Unit evaluates described according to the time series movement locus of the eyes of the described testee of described ocular movement detector unit detection
Testee is if appropriate for the described test event evaluating cognitive dysfunction.
According to another aspect of the present invention, described computing unit by with the described center judging figure as initial point, predetermined length
Border circular areas for radius is set as effective watching area, extracts described tested from the time series movement locus of described eyes
The position of the eye gaze point of examination person, and the position calculating described point of fixation occurs in the ratio in described effective watching area,
And if described ratio is not less than predetermined value, the most described evaluation unit judges that described testee is suitable for described test item
Mesh.
According to another aspect of the present invention, described device farther includes
Memory element, the analytical data of the healthy population that described memory element gathers in advance for storage；
Output unit, described output unit is used for exporting the evaluation result of described evaluation unit,
Wherein, described evaluation unit by the test data of described tester compared with the analytical data of described healthy population thus
Evaluate the degree of the cognitive dysfunction of described testee.
According to another aspect of the present invention, described device farther includes
Communication unit, described communication unit is for uploading onto the server described test data by network.
According to another aspect of the present invention, ocular movement speed described in described computing unit arithmetic average or weighted average calculation
Degree (Mt) and finger motion speed (MT)。
According to another aspect of the present invention, described control device obtains according to described acquiring unit described eyes and finger
First predetermined time interval and described second predetermined time interval described in the data point reuse of motion.
Use the cognitive dysfunction evaluating apparatus of the present invention, can be in conjunction with the eyes of test object and the exercise data of finger
Make judging more accurately whether suffering from cognitive dysfunction.
Accompanying drawing explanation
Fig. 1 is the functional block diagram being monolithically fabricated of the cognitive dysfunction evaluating apparatus of an embodiment of the present invention.
Fig. 2 is the cognitive dysfunction evaluating apparatus of an embodiment of the present invention process chart when testing.
Fig. 3 is a kind of eye that the body kinematics Tip element of the cognitive dysfunction evaluating apparatus of one embodiment of the invention sends
The schematic diagram of motion detection.
Fig. 4 is a kind of health that the body kinematics Tip element of the cognitive dysfunction evaluating apparatus of one embodiment of the invention sends
The schematic diagram of motor task.
Fig. 5 is the process chart of the present invention one change case.
Detailed description of the invention
By instantiation, embodiments of the present invention are described referring to the drawings.
<composition of this evaluation system>
Fig. 1 is the functional block diagram being monolithically fabricated of the evaluating apparatus that one embodiment of the present invention relates to.As it is shown in figure 1, this
Cognitive dysfunction evaluating apparatus 100 involved by invention includes: test cell 1, control unit 2, storage device 3, logical
Letter equipment 4, outut device 5.
Test cell 1 is by body kinematics Tip element 11, body movement measuring unit 12, ocular movement detector unit 13 structure
Become.
Body kinematics Tip element 11 can be made up of display, player etc..Body movement measuring unit 12 is by with touching
Touch the panel computer of screen, intelligent terminal etc. to constitute.Ocular movement detector unit 13 can be by eye tracker, photographic head, infrared
Detection device etc. is constituted.
Control unit 2 is called the system supervisor (OS in internal memory (not shown) by CPU (not representing in figure)
Deng), the mastery routine of this evaluation system, various control programs etc. realize.Generally comprise CPU (central processing unit) and interior
Deposit.It is made up of test instruction signal generating unit 21, test data acquisition unit 22, computing unit 23, analytic unit 24.
Storage device 3 can be made up of storage card, HDD, SSD etc., the storage data such as test condition, test result or program.
Communication equipment 4 can be with connected reference server by connecting network.
Outut device 5 can be printer, it is also possible to be liquid crystal display, can be same with body kinematics Tip element 11
One equipment.
<handling process of this evaluation system>
As in figure 2 it is shown, after initial setting, test event select (S1) to complete, user's login (S2) can be carried out.Tested
Person or test supervisor, by after measured's information registration, are pointed out in picture and [whether are started test？] dialog box (S3).Before
After stating measured or test supervisor pressing [OK] button, test instruction signal generating unit 21 according to aforementioned measured's information,
If aforementioned measured is to utilize this device (S4 is) for the first time, then generates adaptability and judge test event, transported by health
Dynamic Tip element 11 points out the explanation picture (S5) of test to measured.
Test instruction signal generating unit 21 receives the input instruction of aforementioned measured or test supervisor and (such as presses test to start
Button) afterwards (S6 is), generate test content, point out (S7) by body kinematics Tip element 11 to measured.
Test data acquisition unit 22, the eyeball being obtained measured by ocular movement detector unit 13 moves data (such as
Time labelling, eye position, point of fixation coordinate etc.) (S8).Computing unit 23 moves data by analyzing aforementioned eyeball,
Calculate measured if appropriate for continuing with this device to test (S9).
If being suitable for continuing test, test instruction signal generating unit 21 is by pointing out to measured by body kinematics Tip element 11
The explanation picture (S10) of next test.
Test instruction signal generating unit 21 receives the input instruction of aforementioned measured or test supervisor and (such as presses test to start
Button) afterwards (S11 is), generate test content, point out (S12) by body kinematics Tip element 11 to measured.
Test data acquisition unit 22, obtains the body motion data of measured (such as by body movement measuring unit 12
The time of health a certain location contacts sensor, contact position, speed, acceleration etc.), and single by ocular movement detection
The eyeball that unit 13 obtains measured moves data (such as time labelling, eye position, point of fixation coordinate etc.) (S13).Meter
Calculate unit 23 and move data calculating body kinematics accuracy with analytic unit 24 by aforementioned body motion data and aforementioned eyeball,
And compare with the average data of the non-cognitive disease patient of storage in storage device 3, draw the cognitive dysfunction journey of measured
Degree (S14).If measured needs to repeat, can select again to test (S15 is), it is also possible to enter next item
Test (S16 is) until all test terminate (S17 is), preserve test result to storage device 3 or by logical
Letter equipment 4 uploads onto the server (S18).
<embodiment>
<1. the fitness of measured judges>
Fig. 3 is the example that adaptability judges test event.Cross therein can also be the geometrics such as triangle, circle
Or other animation patterns.As long as attention can be attracted eyeball, pattern form is any.Detailed description of the invention is that test instruction generates
Unit 21 is according to fixed ocular movement correction project, in instruction picture 210 (body kinematics Tip element 11) arbitrarily
Position points out (display) cross pattern 211a at random, allows measured watch cross 211a attentively.Through the predetermined distance time
After, while cross 211a disappears, in instruction picture 210, optional position points out (display) new cross 211b at random,
The sight line allowing measured follows the movement of cross, cross 211a move to 211b.So, at the number of times (time) of regulation
In, constantly occur that the sight line of the random cross pattern in position and measured constantly follows the trail of cross.Test data acquisition unit 22
By ocular movement detector unit 13, obtain the eye movement data (such as the coordinate of point of fixation) of measured.
In Fig. 3, with the center of cross 211a as initial point, it is intended that radius (such as 5mm) be the border circular areas of radius be effective district
Territory 212.Occur that computing unit 23 calculates ocular movement detector unit 13 and obtains within the time period disappeared from cross 211a
Eyeball fixes point position coordinates effective coverage 212 in the number of times L that occurs and the outer number of times M occurred in aforementioned effective coverage 212.
If L > M, then it is referred to as effectively watching attentively.Computing unit 23 is effectively watched attentively for the total of cross figure of all promptings (display)
Number of times.Analytic unit 24 compares total effectively fixation times that computing unit 23 calculates and indicates signal generating unit 21 to generate with test
Always point out number of times, if aforementioned total effectively fixation times is less than the half of aforementioned total prompting number of times, then judge that this measured may
Owing to visual problems, certification obstacle degree are crossed high unknown cause and be not suitable for accepting this test.
<the 2. test of measured>
Fig. 4 is an example of test event.Test instruction signal generating unit 21 is according to fixed test event, at instruction picture 210
Prompting (display) figure in (body kinematics Tip element 11), measured quickly clicks when figure occurs.Wherein
Figure can be cross, it is also possible to for the arbitrarily geometrics such as triangle, circle.Detailed description of the invention is test instruction
Signal generating unit 21 shows a figure 221 representing primary position on instruction picture 210, and allows measured pin figure always
Shape 221.Then, test instruction signal generating unit 21 points out (display) one ten in optional position in instruction picture 210 at random
Word 222.Measured's finger after cross 222 occurs leaves primary position, clicks on cross 222 center as early as possible.If measured
Having click or time-out, cross 222 can disappear automatically, and reappears primary position 221.Measured pins the initial stage again
Position, optional position prompting (display) new cross 222 of instruction picture 210.Measured continues to click on new ten
Word.The most repeatedly until reaching pre-set number of repetition.
<3. calculating body kinematics accuracy>
In test process, test data acquisition unit 22 obtains a health part by body movement measuring unit 12, such as hands
Refer to the coordinate when clicking on screen, the data such as click time.Test data acquisition unit 22 is by ocular movement detector unit
The data such as the 13 time series movement locus obtaining eyeball.
In Fig. 4, with the center of cross 222 as initial point, it is intended that radius (such as 5mm) be the border circular areas of radius be effective district
Territory 223.Assuming that the number of times that cross 222 occurs on body kinematics Tip element 11 is n times, the moment of appearance is τi(i=1,
2 ..., N), cross 222 center position coordinates is (xi, yi), before measured's eyeball fixes point position coordinates occurs in first
The moment stating effective coverage 223 is ti, it is T that measured clicks on the moment of crossi, click coordinate is (Xi, Yi)。
In this test, body kinematics accuracy includes ocular movement speed (positioning time), finger motion speed and finger fortune
Dynamic accuracy.Wherein, ocular movement speed MtThe time instant τ being prompted in body kinematics Tip element 11 for prompting figurei
Moment t with measured's eyeball fixes to this figureiConsistent degree.Finger motion speed MTArrive for measured's eyeball fixes
The moment t of aforementioned prompting figureiWith the moment T that measured clicks on this figureiConsistent degree.Finger motion accuracy MDFor
The consistent degree of the position that is prompted in body kinematics Tip element 11 of prompting figure and measured's click location.
Body kinematics accuracy can have following method to calculate.
A. simply each difference is carried out arithmetic average, calculate ocular movement speed M respectively by formula (1)-formula (3)t、
Finger motion speed MTAnd finger motion accuracy MD。
(1)Mt=∑ (ti-τi)/N
(2)MT=∑ (Ti-ti)/N
(3)
B. for whole screen, in general have distance primary position the nearest, search for, the click time the shortest, distance initial stage position
Put the most remote, search for, feature that the click time is the longest, and when figure occurs in outside strong hand, sight line is easily by stick shift
Living, search time is longer, and non-cognitive disorder crowd is also easy to search for time-out.Therefore, calculate body kinematics accuracy time
Wait, average weighted method can be used.
The calculating of weighting has the various computational methods such as exponential, normal distribution.According to Fitts' Law, destination object the most remote or
If person is the least, the traveling time arriving destination object is the longest.Formula (4) is the formula of Fitts' Law, and wherein, T is for mobile
The required time, D be starting point to object centers distance (in Fig. 3 primary position 221 and cross 222 central point away from
From), W is the width (width of cross 222 in Fig. 3) of destination object.A, b are constant, can be approximated by test data
Draw.It was verified that this rule is all suitable for for various conditions such as hands, foot, the swing of head, sight lines.And logarithm therein
?May be considered the degree of difficulty arriving target, then can set weights
(4)
According to above rule, ocular movement speed M can be calculated respectively by formula (5)-formula (6)tWith calculating finger motion
Speed MT。
(5)
(6)
<the 3. cognitive disorder degree evaluation of measured>
Analytic unit 24 according to aforementioned body kinematics accuracy, in conjunction with data to healthy population sample collection in advance, calculates
The cognitive disorder disease degree of measured.
Such as, allow plural number name non-cognitive dysfunction personnel as measured in advance, obtain the eye of all personnel for same test
Meansigma methods M of ball movement timetj, meansigma methods M of finger motion timeTjMeansigma methods M with position offsetDj(j=1,
2 ..., P:P represents non-cognitive dysfunction measured's number).Calculate aforementioned all non-cognitive dysfunction measured respectively
Meansigma methodsWith standard variance σtj,σTj,σDjAnd deposit in storage device 3.Analytic unit 24 first root
According to following formula (7)-formula (9), measured's data are standardized, obtain standardized data Mtj′,MTj′,MDj′.Then,
According to following formula (10), calculate the cognitive disorder degree S of measured.Calculating cognitive disorder degree S it is also contemplated that each health is transported
The importance degree of dynamic accuracy, is multiplied by different weights.
(7)
(8)
(9)
(10) S=Mtj′+MTj′+MDj′
<the 4. change case of embodiment>
In test way, this device can be according to the practical situation of measured, Automatic Optimal testing setup.Fig. 5 is this change
The flow chart explanation of example.Computing unit 23 first passes through ocular movement detector unit 13, calculates effective fixation times (S21).
If effectively fixation times is more than fixed number of times (S22 is), then by body movement measuring unit 12, calculate effective
Number of clicks (S23).If effectively number of clicks is less than fixed number of times (S24 is), test data acquisition unit 22 is counted
Calculate ocular movement speed MtWith finger motion speed MT(S25), time-out time is adjusted, as being set to (Mt+MT)
*1.5(S26)。
Above several embodiments of the invention is illustrated, but these embodiments are illustrative only, and do not have
There is the intention limiting invention scope.These embodiments can be implemented by other various forms, without departing from inventive concept
In the range of carry out various omission, replace, change, combine.These embodiments and its deformation are included in invention scope
While in purport, be also contained in the invention described in claims and with in the scope of its equalization.
Claims (9)
1. a cognitive dysfunction evaluating apparatus, it is characterised in that described device includes
Test device, described test device includes showing the carrying of test event evaluating cognitive dysfunction to described testee
Show unit and detect eyes and the detector unit of finger motion of described testee,
Controlling device, described control device includes obtaining the described eyes by the detection of described test device and the number of finger motion
According to acquiring unit, and the cognitive dysfunction according to testee described in the data evaluation of described eyes and finger motion
The evaluation unit of degree,
Wherein, described test event is with the first predetermined time interval display reminding figure, and indicates described testee to click on
Described prompting figure.
2. device as claimed in claim 1, it is characterised in that described detector unit farther includes
Ocular movement detector unit, described ocular movement detector unit detects the time series motion of the eyes of described testee
Track；
Finger motion detector unit, described finger motion detector unit detects position and the time that described testee clicks on.
3. device as claimed in claim 2, it is characterised in that described control device farther includes
Test event signal generating unit, described test event signal generating unit generates described test event and is sent to described test device；
Computing unit, described computing unit calculates the test of described testee according to the data of described eyes and finger motion
Data, described test data include ocular movement speed, finger motion speed and finger motion accuracy,
Wherein, described ocular movement speed (Mt) it is the eye gaze moment (t to described prompting figure of described testeei)
Moment (the τ occurred with described prompting figurei) time interval；Described finger motion speed (MT) it is described testee point
Hit the moment (T of described prompting figurei) with the moment (t of the eyeball fixes of described testee to described prompting figurei) time
Between be spaced；Described finger motion accuracy (MD) it is the centre bit of position and described prompting figure that described testee clicks on
The deviation put.
4. device as claimed in claim 3, it is characterised in that described test event signal generating unit generates judgement further
Project, described judgement project judges figure with the second predetermined time interval display and indicates described testee to watch described judgement
Figure, the time series fortune of the eyes of the described testee that described evaluation unit detects according to described ocular movement detector unit
Dynamic track evaluates described testee if appropriate for the described test event evaluating cognitive dysfunction.
5. device as claimed in claim 4, it is characterised in that described computing unit is by the center with described judgement figure
It is set as effective watching area, from the time series motion rail of described eyes for the border circular areas that initial point, predetermined length are radius
Mark extracts the position of the eye gaze point of described testee, and the position calculating described point of fixation occurs in described effective note
Ratio in viewed area,
And if described ratio is not less than predetermined value, the most described evaluation unit judges that described testee is suitable for described test item
Mesh.
6. device as claimed in claim 3, it is characterised in that described device farther includes
Memory element, the analytical data of the healthy population that described memory element gathers in advance for storage；
Output unit, described output unit is used for exporting the evaluation result of described evaluation unit,
Wherein, described evaluation unit by the test data of described tester compared with the analytical data of described healthy population thus
Evaluate the degree of the cognitive dysfunction of described testee.
7. device as claimed in claim 6, it is characterised in that described device farther includes
Communication unit, described communication unit is for uploading onto the server described test data by network.
8. device as claimed in claim 3, it is characterised in that
Ocular movement speed (M described in described computing unit arithmetic average or weighted average calculationt) and finger motion speed
(MT)。
9. the device as according to any one of claim 1-8, it is characterised in that
Described in described eyes that described control device obtains according to described acquiring unit and the data point reuse of finger motion first
Predetermined time interval and described second predetermined time interval.
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| CN107411762A (en) * | 2017-08-31 | 2017-12-01 | 杭州极智医疗科技有限公司 | Cognitive disorder diagnostic equipment |
| CN107818532A (en) * | 2017-11-23 | 2018-03-20 | 合肥亚慕信息科技有限公司 | One kind perceives educational interaction progress evaluating system |
| CN107811609A (en) * | 2017-09-22 | 2018-03-20 | 中国医学科学院北京协和医院 | A kind of brain aging assessment system |
| CN108634931A (en) * | 2018-04-04 | 2018-10-12 | 中南大学 | Eye motion analyzer suitable for Cognitive Function in Patients with Epilepsy damage test |
| CN111012315A (en) * | 2020-01-02 | 2020-04-17 | 辽宁中晨优智医疗技术有限公司 | Brain health diagnosis equipment based on human cognitive function |
| CN111655163A (en) * | 2018-03-26 | 2020-09-11 | Jvc建伍株式会社 | Evaluation device, evaluation method, and evaluation program |
| CN113951828A (en) * | 2021-10-29 | 2022-01-21 | 上海市同济医院 | MCI screening method and system based on visual work memory task |
| CN115868939A (en) * | 2023-01-13 | 2023-03-31 | 北京中科睿医信息科技有限公司 | Cognitive assessment method, device, equipment, medium and computer program product |
| CN116098587A (en) * | 2023-01-13 | 2023-05-12 | 北京中科睿医信息科技有限公司 | Cognition assessment method, device, equipment and medium based on eye movement |
| CN116919348A (en) * | 2023-07-28 | 2023-10-24 | 河北医科大学第二医院 | Detection system for detecting effect of oxiracetam drug on treatment of cognitive dysfunction |
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| CN107411762A (en) * | 2017-08-31 | 2017-12-01 | 杭州极智医疗科技有限公司 | Cognitive disorder diagnostic equipment |
| CN107811609A (en) * | 2017-09-22 | 2018-03-20 | 中国医学科学院北京协和医院 | A kind of brain aging assessment system |
| CN107811609B (en) * | 2017-09-22 | 2020-06-09 | 中国医学科学院北京协和医院 | Brain aging assessment system |
| CN107818532A (en) * | 2017-11-23 | 2018-03-20 | 合肥亚慕信息科技有限公司 | One kind perceives educational interaction progress evaluating system |
| CN111655163A (en) * | 2018-03-26 | 2020-09-11 | Jvc建伍株式会社 | Evaluation device, evaluation method, and evaluation program |
| CN111655163B (en) * | 2018-03-26 | 2024-03-29 | Jvc建伍株式会社 | Evaluation device, evaluation method, and storage medium |
| CN108634931A (en) * | 2018-04-04 | 2018-10-12 | 中南大学 | Eye motion analyzer suitable for Cognitive Function in Patients with Epilepsy damage test |
| CN111012315A (en) * | 2020-01-02 | 2020-04-17 | 辽宁中晨优智医疗技术有限公司 | Brain health diagnosis equipment based on human cognitive function |
| CN113951828A (en) * | 2021-10-29 | 2022-01-21 | 上海市同济医院 | MCI screening method and system based on visual work memory task |
| CN115868939A (en) * | 2023-01-13 | 2023-03-31 | 北京中科睿医信息科技有限公司 | Cognitive assessment method, device, equipment, medium and computer program product |
| CN116098587A (en) * | 2023-01-13 | 2023-05-12 | 北京中科睿医信息科技有限公司 | Cognition assessment method, device, equipment and medium based on eye movement |
| CN116098587B (en) * | 2023-01-13 | 2023-10-10 | 北京中科睿医信息科技有限公司 | Cognition assessment method, device, equipment and medium based on eye movement |
| CN116919348A (en) * | 2023-07-28 | 2023-10-24 | 河北医科大学第二医院 | Detection system for detecting effect of oxiracetam drug on treatment of cognitive dysfunction |
| CN116919348B (en) * | 2023-07-28 | 2024-04-16 | 河北医科大学第二医院 | Detection system for detecting effect of oxiracetam drug on treatment of cognitive dysfunction |
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| CN106256312B (en) | 2021-07-23 |
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