CN116898402A - Cognitive ability evaluation method and device, electronic equipment and storage medium - Google Patents
Cognitive ability evaluation method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN116898402A CN116898402A CN202310902864.1A CN202310902864A CN116898402A CN 116898402 A CN116898402 A CN 116898402A CN 202310902864 A CN202310902864 A CN 202310902864A CN 116898402 A CN116898402 A CN 116898402A
- Authority
- CN
- China
- Prior art keywords
- task
- test
- identifier
- sequence
- standard
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000003930 cognitive ability Effects 0.000 title claims abstract description 86
- 238000011156 evaluation Methods 0.000 title claims description 60
- 238000012360 testing method Methods 0.000 claims abstract description 975
- 238000000034 method Methods 0.000 claims abstract description 79
- 230000004044 response Effects 0.000 claims abstract description 75
- 230000001149 cognitive effect Effects 0.000 claims description 154
- 230000015654 memory Effects 0.000 claims description 55
- 230000008569 process Effects 0.000 claims description 30
- 238000001514 detection method Methods 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 11
- 230000033001 locomotion Effects 0.000 claims description 11
- 238000012545 processing Methods 0.000 claims description 11
- 238000002372 labelling Methods 0.000 claims description 9
- 230000010354 integration Effects 0.000 claims description 8
- 230000007596 spatial working memory Effects 0.000 claims description 5
- 238000010586 diagram Methods 0.000 description 32
- 230000006870 function Effects 0.000 description 13
- 201000010099 disease Diseases 0.000 description 7
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 7
- 238000012549 training Methods 0.000 description 7
- 238000004891 communication Methods 0.000 description 6
- 230000008449 language Effects 0.000 description 6
- 208000024827 Alzheimer disease Diseases 0.000 description 5
- 208000010877 cognitive disease Diseases 0.000 description 5
- 230000000694 effects Effects 0.000 description 5
- 230000003936 working memory Effects 0.000 description 5
- 230000019771 cognition Effects 0.000 description 4
- 208000027061 mild cognitive impairment Diseases 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
- 230000003111 delayed effect Effects 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 3
- 230000006386 memory function Effects 0.000 description 3
- 230000036651 mood Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 238000012216 screening Methods 0.000 description 3
- 238000000926 separation method Methods 0.000 description 3
- 230000001629 suppression Effects 0.000 description 3
- 230000000007 visual effect Effects 0.000 description 3
- 238000013459 approach Methods 0.000 description 2
- 238000012512 characterization method Methods 0.000 description 2
- 230000003920 cognitive function Effects 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
- 239000003550 marker Substances 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 208000019901 Anxiety disease Diseases 0.000 description 1
- 208000027534 Emotional disease Diseases 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000004913 activation Effects 0.000 description 1
- 238000013019 agitation Methods 0.000 description 1
- 230000036506 anxiety Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000006998 cognitive state Effects 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 230000009193 crawling Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000994 depressogenic effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000002996 emotional effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000005764 inhibitory process Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000003557 neuropsychological effect Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
- 230000006403 short-term memory Effects 0.000 description 1
- 238000012030 stroop test Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/40—Detecting, measuring or recording for evaluating the nervous system
- A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
- A61B5/4088—Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
- G06F3/04842—Selection of displayed objects or displayed text elements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0487—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser
- G06F3/0488—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Human Computer Interaction (AREA)
- Public Health (AREA)
- Neurology (AREA)
- Biomedical Technology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Medical Informatics (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Pathology (AREA)
- Physiology (AREA)
- Data Mining & Analysis (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Neurosurgery (AREA)
- Psychology (AREA)
- Veterinary Medicine (AREA)
- Heart & Thoracic Surgery (AREA)
- Databases & Information Systems (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Psychiatry (AREA)
- Hospice & Palliative Care (AREA)
- Developmental Disabilities (AREA)
- Child & Adolescent Psychology (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The disclosure provides a cognitive ability assessment method, a device, an electronic device and a storage medium. The method comprises the following steps: receiving a test task uploading request sent by a testing end; generating a test task identifier corresponding to the test task sequence, and sending the test task identifier to a testing end; responding to a test request which is sent by a tested end and comprises a test task identifier, acquiring a test task sequence corresponding to the test task identifier, sending the test task sequence to the tested end, and carrying out task parameter configuration according to task parameter configuration information in the corresponding test task; responding to a test result uploading request sent by a tested end, and correspondingly storing a subject identifier, a test task identifier and a task test result sequence to a test result set; and in response to receiving the test result acquisition request sent by the testing end, sending a task test result sequence corresponding to the subject identifier and the test task identifier in the test result set to the testing end for presentation.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a cognitive ability assessment method, a device, electronic equipment and a storage medium.
Background
Compared with the traditional mode of paper pen test, computerized cognitive ability assessment can strictly control the presentation of stimulus, accurately measure the response time of a subject, and the subject can perform self-test without the participation of professional neuropsychiatric personnel for complete computerized cognitive ability assessment, so that self-management is realized, the computerized cognitive ability assessment has high objectivity in terms of use and scoring, misoperation and recording deviation caused by subjective factors of a tester are reduced, and the standardization of the test is improved.
The existing computerized cognitive ability assessment system follows the development paths of determining assessment objects, designing assessment dimensions, developing assessment questionnaires, assessing verification, revising and iterating, and because the method needs to be developed according to the assessment objects, independent assessment of single diseases and single problems can be generally realized. For example, computerized cognitive screening for mild cognitive impairment, cognitive screening for depressed individuals, and the like.
However, since various diseases face complex co-diseases and disease continuity problems, for example, a certain individual has depression anxiety mood and occasionally has a hypo-agitation state, and a certain performance defect may exist, for this case, since the existing computerized cognitive ability evaluation system can only perform independent evaluation on single diseases and single problems, the evaluation test difficulty may be too low to accurately describe the cognitive state of the individual, and the difficulty of debugging test according to crowd specificity cannot be realized. Therefore, there is a need to propose a new cognitive ability assessment method to solve at least one of the above technical problems.
Disclosure of Invention
The embodiment of the disclosure provides a cognitive ability assessment method, a device, electronic equipment and a storage medium.
In a first aspect, an embodiment of the present disclosure provides a cognitive ability evaluation method, applied to a server in a cognitive ability evaluation system, where the cognitive ability evaluation system includes a tested end, and a server, where the tested end and the tested end are connected to the server in a network, and the server is configured to store a standard task set, where the standard task corresponds to a standard task identifier and at least one task parameter, and the method includes:
receiving a test task uploading request sent by the testing end, wherein the test task uploading request comprises a test task sequence, and the test task comprises a standard task identifier and corresponding task parameter configuration information;
generating a test task identifier corresponding to the test task sequence, storing the test task identifier and the test task sequence correspondingly, and sending the test task identifier to the testing end;
responding to a test request which is sent by the tested end and comprises the test task identifier, acquiring the test task sequence corresponding to the test task identifier, and sending the test task sequence to the tested end so that the tested end provides corresponding test tasks according to the sequence of the test tasks in the test task sequence, and in the process of providing standard tasks indicated by the standard task identifier in the corresponding test tasks, carrying out task parameter configuration according to task parameter configuration information in the corresponding test tasks;
Responding to a test result uploading request sent by the tested end, wherein the test result uploading request comprises a subject identifier, the test task identifier and a task test result sequence, and correspondingly storing the subject identifier, the test task identifier and the task test result sequence into a test result set;
and responding to the receiving of a test result acquisition request sent by the testing end, wherein the test result acquisition request comprises the subject identifier and the test task identifier, and sending the task test result sequence corresponding to the subject identifier and the test task identifier in the test result set to the testing end for presentation.
In some optional embodiments, the standard task set stored by the server is obtained by:
acquiring a cognitive psychology paradigm set;
for each of the cognitive psychology paradigms, the following document retrieval operations are performed: retrieving documents matching the cognitive psychology paradigm, and determining a number of documents of the retrieved documents that relate to clinical trials as a number of clinical trial documents corresponding to the cognitive psychology paradigm;
determining a candidate set of cognitive psychology norms from the set of cognitive psychology norms based on the total amount of matching documents and the number of clinical trial documents corresponding to each of the cognitive psychology norms;
Determining a set of standard task norms from the set of candidate cognitive psycho-norms according to at least one of the following for each of the candidate cognitive psycho-norms: the electronization degree value, the content effectiveness value and the number of applicable scenes; and
and storing standard task identifications and corresponding task parameters of standard tasks corresponding to each standard task normal form into the standard task set, wherein the standard tasks corresponding to each standard task normal form are designed according to the corresponding labeling task normal form.
In some alternative embodiments, each of the cognitive psychographic paradigms corresponds to one of N specific dimensions; and
the determining a candidate set of cognitive psychology norms in the set of cognitive psychology norms according to the total amount of matching documents and the number of clinical trial documents corresponding to each of the cognitive psychology norms comprises:
for each cognitive psychology model, determining a ratio of the number of clinical trial documents corresponding to the cognitive psychology model divided by the total amount of matching documents as a clinical application value corresponding to the cognitive psychology model;
for each of the particular dimensions, performing the following candidate cognitive psychology paradigm determination operations: adding the cognitive psychology norms corresponding to the matched documents in each cognitive psychology norms corresponding to the specific dimension in the cognitive psychology norms set, wherein the total amount of the matched documents is larger than a preset document total amount threshold value and the clinical application value is larger than a preset clinical application value threshold value;
In response to determining that at least one of a total amount of matching documents or a clinical application value of each of the set of cognitive psychology patterns corresponding to the particular dimension is not greater than the preset document total amount threshold or the preset clinical application value threshold, adding a highest clinically-applicable cognitive psychology pattern of the set of cognitive psychology patterns corresponding to the particular dimension to the set of candidate cognitive psychology patterns.
In some alternative embodiments, the determining a set of standard task norms in the set of candidate cognitive psychology norms according to at least one of: the electronization degree value, the content effectiveness value and the applicable scene number comprise:
for each candidate cognitive psychology paradigm, determining a standard task paradigm score of the candidate cognitive psychology paradigm according to the electronization degree value, the content effectiveness value and the number of applicable scenes of the candidate cognitive psychology paradigm;
and generating a standard task paradigm set by using the candidate cognitive psychology paradigm with the standard task paradigm score larger than a preset labeling task paradigm score threshold in the candidate cognitive psychology paradigm set.
In some alternative embodiments, the task parameters include at least one of: the number and time of exercises before the start of the test task, whether the test task can be redone, the number of executables of the test task, the duration of the test task operation, whether the test task has real-time feedback, and whether the test result of the test task is visible to the subject.
In some alternative embodiments, the standard set of task paradigms includes at least one of: motion control task paradigm, optokinetic integration task paradigm, spatial working memory task paradigm, update add task paradigm, signal stop task paradigm, alternate link task paradigm, continuous operation attention task paradigm, feature binding task paradigm, spatial navigation task paradigm, and face associative memory task paradigm.
In some alternative embodiments, the standard set of tasks includes at least one of: quick key, quick point center, memory block, continuous addition, signal stop, alternate connection, clock judgment, memory binding, spatial navigation and face name association.
In a second aspect, an embodiment of the present disclosure provides a cognitive ability evaluation method applied to a testing end in a cognitive ability evaluation system, where the cognitive ability evaluation system includes a testing end, and a service end, the testing end and the testing end are respectively connected to the service end in a network, the service end is configured to store a standard task set, and the standard task corresponds to a standard task identifier and at least one task parameter, and the method includes:
Responding to detection of a test task uploading operation for a test task sequence input by a target constructor, wherein the test task comprises a standard task identifier and corresponding task parameter configuration information, generating a test task uploading request comprising the test task sequence, and transmitting the test task uploading request to the server;
responding to the test task identification fed back by the server side in response to the test task uploading request, and sending the test task identification to the tested side;
in response to detecting a test result acquisition operation for a subject identifier and a test task identifier input by the target administrator, generating a test result acquisition request including the subject identifier and the test task identifier, and transmitting the test result acquisition request to the server;
and responding to the task test result sequence fed back by the server side in response to the test result acquisition request, and presenting the task test result sequence.
In a third aspect, an embodiment of the present disclosure provides a cognitive ability evaluation method applied to a tested end of a cognitive ability evaluation system, where the cognitive ability evaluation system includes a tested end, and a service end, where the tested end and the tested end are respectively connected to the service end in a network, and the method includes:
Responding to the received test task identification sent by the testing end, and presenting the test task identification;
in response to detecting a start test operation of a subject for the test task identifier, generating a test request comprising the test task identifier, and sending the test request to the server;
responding to a test task sequence fed back by the server in response to the test request, providing corresponding test tasks according to the sequence of the test tasks in the test task sequence, and performing task parameter configuration according to task parameter configuration information in the corresponding test tasks in the process of providing standard tasks indicated by standard task identifiers in the corresponding test tasks;
in response to detecting the ending test operation of the subject aiming at the test task identifier, acquiring a task test result sequence in the process of executing the test task sequence by the subject, generating a test result uploading request comprising the subject identifier, the test task identifier and the task test result sequence, and sending the test result uploading request to the server.
In a fourth aspect, an embodiment of the present disclosure provides a cognitive ability evaluation device, which is applied to a server in a cognitive ability evaluation system, where the cognitive ability evaluation system includes a tested end, and a server, where the tested end and the tested end are connected to the server in a network, and the server is configured to store a standard task set, where the standard task corresponds to a standard task identifier and at least one task parameter, and the device includes:
The test task uploading request receiving unit is used for receiving a test task uploading request sent by the testing end, wherein the test task uploading request comprises a test task sequence, and the test task comprises a standard task identifier and corresponding task parameter configuration information;
the test task identification generation unit is used for generating a test task identification corresponding to the test task sequence;
the test task storage unit is used for correspondingly storing the test task identification and the test task sequence;
the test task identification sending unit is used for sending the test task identification to the testing end;
a test task sequence obtaining unit, configured to obtain the test task sequence corresponding to the test task identifier in response to receiving a test request sent by the test end and including the test task identifier;
the test task sequence sending unit is used for sending the test task sequence to the tested end so that the tested end provides corresponding test tasks according to the sequence of the test tasks in the test task sequence, and task parameter configuration is carried out according to task parameter configuration information in the corresponding test tasks in the process of providing standard tasks indicated by standard task identifiers in the corresponding test tasks;
The test result storage unit is used for responding to a test result uploading request sent by the tested end, wherein the test result uploading request comprises a subject identifier, a test task identifier and a task test result sequence, and correspondingly storing the subject identifier, the test task identifier and the task test result sequence into a test result set;
and the test result sequence sending unit is used for responding to a test result acquisition request sent by the testing end, wherein the test result acquisition request comprises the subject identifier and the test task identifier, and sending the task test result sequence corresponding to the subject identifier and the test task identifier in the test result set to the testing end for presentation.
In a fifth aspect, an embodiment of the present disclosure provides a cognitive ability evaluation device, which is applied to a testing end in a cognitive ability evaluation system, where the cognitive ability evaluation system includes a testing end, and a service end, where the testing end and the testing end are respectively connected to the service end in a network, and the service end is configured to store a standard task set, where the standard task corresponds to a standard task identifier and at least one task parameter, and the device includes:
The test task uploading request generation unit is used for responding to the detection of the test task uploading operation of the test task sequence input by the target constructor, wherein the test task comprises a standard task identifier and corresponding task parameter configuration information, and a test task uploading request comprising the test task sequence is generated;
the test task uploading request sending unit is used for sending the test task uploading request to the server;
the test task identification sending unit is used for responding to the test task identification fed back by the server side in response to the test task uploading request and sending the test task identification to the tested side;
a test result acquisition request generating unit configured to generate a test result acquisition request including a subject identifier and a test task identifier in response to detection of a test result acquisition operation for the subject identifier and the test task identifier input by the target administrator;
the test result acquisition request sending unit is used for sending the test result acquisition request to the server;
and the task test result presentation unit is used for presenting the task test result sequence in response to receiving the task test result sequence fed back by the server in response to the test result acquisition request.
In a sixth aspect, an embodiment of the present disclosure provides a cognitive ability evaluation device applied to a test end of a cognitive ability evaluation system, where the cognitive ability evaluation system includes a test end, and a service end, where the test end and the test end are respectively connected to the service end in a network, and the device includes:
the test task identification presenting unit is used for responding to the received test task identification sent by the testing end and presenting the test task identification;
a test request generation unit for generating a test request including the test task identifier in response to detecting a start test operation of the subject with respect to the test task identifier;
a test request sending unit, configured to send the test request to the server;
the test task processing unit is used for responding to a test task sequence fed back by the server in response to the test request, providing corresponding test tasks according to the sequence of the test tasks in the test task sequence, and carrying out task parameter configuration according to task parameter configuration information in the corresponding test tasks in the process of providing standard tasks indicated by standard task identifiers in the corresponding test tasks;
A task test result sequence obtaining unit, configured to obtain a task test result sequence in a process of executing the test task sequence by the subject in response to detecting an ending test operation of the subject for the test task identifier;
a test result uploading request generating unit, configured to generate a test result uploading request including the subject identifier, the test task identifier and a task test result sequence;
and the test result uploading request sending unit is used for sending the test result uploading request to the server.
In a seventh aspect, embodiments of the present disclosure provide a server, including:
one or more processors;
a storage device having one or more programs stored thereon,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method as described in any of the embodiments of the first aspect of the present disclosure.
In an eighth aspect, embodiments of the present disclosure provide a testing end comprising:
one or more processors;
a storage device having one or more programs stored thereon,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement a method as described in any of the embodiments of the second aspect of the present disclosure.
In a ninth aspect, embodiments of the present disclosure provide a test terminal, including:
one or more processors;
a storage device having one or more programs stored thereon,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement a method as described in any of the embodiments of the third aspect of the present disclosure.
In a tenth aspect, embodiments of the present disclosure provide a computer readable storage medium having a computer program stored thereon, wherein the computer program, when executed by one or more processors, implements a method as described in any of the embodiments of the first aspect, a method as described in any of the embodiments of the second aspect, and/or a method as described in any of the embodiments of the third aspect of the present disclosure.
In an eleventh aspect, an embodiment of the disclosure provides a cognitive ability assessment system, including a service end as described in any embodiment of the seventh aspect, a testing end as described in any embodiment of the eighth aspect, and a test end as described in any embodiment of the ninth aspect.
The embodiment of the disclosure provides a disease cognition evaluation method, a device, an electronic device and a storage medium, wherein a test task uploading request is sent to a server through a test application end, the server generates a test task identifier corresponding to the test task, the test application end sends the test task identifier to the test application end, the test application end receives the test task identifier sent by the test application end, starts a test operation aiming at the test task identifier, generates a test request of the test task identifier and sends the test request to the server, the server receives the test request which is sent by the test application end and comprises the test task identifier, acquires a test task sequence corresponding to the test task identifier, sends the test task sequence to the test application end, provides corresponding test tasks according to the sequence of test tasks in the test application sequence, and performs task parameter configuration according to task parameter configuration information in the corresponding test tasks in the standard task process indicated by the standard task identifier, the test application end detects the test operation of a subject aiming at the test task identifier, acquires a task result sequence in the process of executing the test task by the subject, sends the test result uploading request to the server, and sends the test result showing the received test result to the test application end according to the test application end. According to the application, different testing tasks can be generated for different subjects, task parameters of corresponding tasks can be configured for the subjects in an individualized way according to the conditions of the subjects, and the purposes of individuating and flexibly adjusting the testing tasks according to crowd specificity and adjusting the difficulty of the testing tasks according to the task parameters are achieved.
Drawings
Other features, objects and advantages of the present disclosure will become more apparent upon reading of the detailed description of non-limiting embodiments made with reference to the following drawings. The drawings are only for purposes of illustrating particular embodiments and are not to be construed as limiting the invention. In the drawings:
FIG. 1 is a system architecture diagram of one embodiment of a cognitive ability assessment system according to the present disclosure;
FIG. 2 is a timing diagram of one embodiment of a cognitive ability assessment system according to the present disclosure;
FIG. 3A is a schematic diagram of a standard task speed button according to the present disclosure;
FIG. 3B is a schematic diagram of a standard task quick point center according to the present disclosure;
FIG. 3C is a schematic diagram of a standard task memory block according to the present disclosure;
FIG. 3D is a schematic diagram of standard task continuous addition according to the present disclosure;
FIG. 3E is a schematic diagram of a standard task signal stop according to the present disclosure;
FIG. 3F is a schematic diagram of a standard task alternating link according to the present disclosure;
FIG. 3G is a schematic diagram of a standard task clock judgment according to the present disclosure;
FIG. 3H is a schematic diagram of a standard task memory binding according to the present disclosure;
FIG. 3I is a schematic diagram of standard task space navigation according to the present disclosure;
FIG. 3J is a schematic diagram of standard task face name associations according to the present disclosure;
FIG. 4 is a flow chart of a standard task set acquisition approach stored by a server according to the present disclosure;
FIG. 5 is a flow chart of one embodiment of a cognitive ability assessment method according to the present disclosure;
FIG. 6 is a flow chart of one embodiment of a cognitive ability assessment method according to the present disclosure;
FIG. 7 is a flow chart of one embodiment of a cognitive ability assessment method according to the present disclosure;
FIG. 8 is a schematic diagram of a cognitive ability assessment device provided in accordance with the present disclosure;
FIG. 9 is a schematic diagram of a cognitive ability assessment device provided in accordance with the present disclosure;
FIG. 10 is a schematic diagram of a cognitive ability assessment device provided in accordance with the present disclosure;
fig. 11 is a schematic diagram of a computer system suitable for use in implementing embodiments of the present disclosure.
Detailed Description
The present disclosure is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings.
It should be noted that, without conflict, the embodiments of the present disclosure and features of the embodiments may be combined with each other. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 illustrates an exemplary system architecture 100 to which one embodiment of a cognitive ability assessment system of the present disclosure may be applied.
As shown in fig. 1, a system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is used as a medium to provide communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
The user may interact with the server 105 via the network 104 using the terminal devices 101, 102, 103 to receive or send messages or the like. Various communication client applications, such as a cognitive ability assessment application, a voice interaction class application, a video conference class application, a short video social class application, a web browser application, a shopping class application, a search class application, an instant messaging tool, a mailbox client, social platform software, and the like, may be installed on the terminal devices 101, 102, 103.
The terminal devices 101, 102, 103 may be hardware or software. When the terminal devices 101, 102, 103 are hardware, various electronic devices with microphones and speakers may be used, including but not limited to smart phones, tablet computers, E-book readers, MP3 players (Moving Picture E second alignment result perts Group Audio Layer III, moving Picture E second alignment result perts Group Audio Layer IV), players, portable computers, desktop computers, etc. When the terminal devices 101, 102, 103 are software, they can be installed in the above-listed electronic devices. Which may be implemented as multiple software or software modules (e.g., to provide distributed services), or as a single software or software module. The present invention is not particularly limited herein.
The server 105 may be a server providing various services, such as a background server providing support for cognitive ability assessment applications displayed on the terminal devices 101, 102, 103. The background server can analyze and process the received data such as the test task uploading request and feed back the processing result (such as test task identification) to the terminal device.
The server 105 may be hardware or software. When the server 105 is hardware, it may be implemented as a distributed server cluster formed by a plurality of servers, or as a single server. When the server is software, it may be implemented as a plurality of software or software modules (e.g., to provide distributed services), or as a single software or software module. The present invention is not particularly limited herein.
It should be noted that, the cognitive ability evaluation method applied to the test end and the test end provided in the present disclosure is generally executed by the terminal devices 101, 102, 103, and accordingly, the cognitive ability evaluation device applied to the test end and the test end is generally disposed in the terminal devices 101, 102, 103.
It should be noted that, the cognitive ability evaluation method applied to the server provided by the present disclosure is generally executed by the server 105, and accordingly, the cognitive ability evaluation device applied to the server is generally disposed in the server 105.
It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to fig. 2, a timing diagram 200 of one embodiment of a cognitive ability assessment system according to the present disclosure is shown. The cognitive ability evaluation system in the embodiment of the disclosure can comprise a tested end, a tested end and a service end. The tested end and the tested end are respectively connected with the server end through a network, and the server end is used for storing a standard task set, and the standard task corresponds to a standard task identifier and at least one task parameter.
The sequence 200 includes the steps of:
in step 201, the testing end responds to the detection of the test task uploading operation for the test task sequence input by the target tester, generates a test task uploading request including the test task sequence, and sends the test task uploading request to the server.
In this embodiment, the testing end (for example, the terminal devices 101, 102, 103 shown in fig. 1) may generate a testing task upload request including a testing task sequence and send the testing task upload request to the server in case of detecting a testing task upload operation for the testing task sequence input by the target administrator.
The target applicator may be a researcher, doctor, professional neuropsychological or other professional. The test task sequence is a sequence obtained by sequencing the test tasks according to the sequence of the sequence test.
For example, for the test task composed of three standard tasks of the quick key, the center of the quick key and the memory block, the test task can be { the test task of the quick key center, the test task of the quick key, the test task of the memory block }.
In this embodiment, the test task may include a standard task identifier and corresponding task parameter configuration information.
The standard task identifier is used for uniquely determining the standard task, for example, the standard task identifier may be number information of the standard task, a storage address of the standard task in a database, or a name of the standard task, an instruction sequence address corresponding to the standard task, a program interface for calling an instruction sequence corresponding to the standard task, and the like, which is not limited in detail herein.
For example, the identification of the snap key standard task may be a, the identification of the snap center standard task may be B, and the identification of the memory block standard task may be C.
Each standard task can be corresponding to respective task parameter configuration information, the task parameter configuration information represents task parameters corresponding to the test task and corresponding parameter values, and one standard task is corresponding to at least one task parameter.
In some alternative embodiments, the standard set of tasks may include at least one of: quick key, quick point center, memory block, continuous addition, signal stop, alternate connection, clock judgment, memory binding, spatial navigation and face name association.
Wherein, the rapid key-press requires the subjects to click the reaction area as much as possible in the prescribed time to test the tested key-press flexibility. As shown in fig. 3A, 300 is a schematic diagram of a standard task speed button of the present disclosure.
The rapid center of circle requires the subject to rapidly and accurately click on a random falling circular spike to test the visual motor integration ability of the test. As shown in fig. 3B, 301 is a schematic diagram of a standard task fast point center of the present disclosure.
The memory blocks require the subject to sequentially recall the locations of the blocks, recall the number increasing until two consecutive errors stop, to test the spatial working memory capacity of the subject. As shown in fig. 3C, 302 is a schematic diagram of a standard task memory block of the present disclosure.
Continuous addition requires the subject to continuously add the last two of the continuously presented numbers, searching for and selecting the correct answer as soon as possible to test the subject's cognitive refresh ability. As shown in fig. 3D, 303 is a schematic diagram of the standard task continuous addition of the present disclosure.
The signal stopping requires the test subject to stop the dominant response in real time according to whether the stopping signal appears, the signal stopping test is divided into two stages, the first stage is the basic response stage, the second stage is the stopping signal stage, and the task can test the general response and the response inhibition control capability of the test subject. As shown in fig. 3E, 304 is a schematic diagram of a standard task signal stop of the present disclosure.
Alternate connection requires the subject to rapidly complete alternate clicking from small to large, number first and point second according to the number or point size as soon as possible, so as to test the executive function and comprehensive response capability of the subject. As shown in fig. 3F, 305 is a schematic diagram of a standard task alternating link of the present disclosure.
The clock judgment requires the subject to quickly and accurately judge whether the clock is abnormal or not to walk for seconds so as to test the continuous attention function of the subject. As shown in fig. 3G, 306 is a schematic diagram of the standard task clock judgment of the present disclosure.
Memory binding requires the subject to memorize and retrieve features integrated in the stimulus, e.g., colored shapes or specific color-shape combinations of colored stimuli, for evaluating the feature binding ability in the subject's short-term memory, the task comprising three phases, a basic reaction phase, a single feature phase, and a memory binding phase. As shown in fig. 3H, 307 is a schematic diagram of a standard task memory binding of the present disclosure.
Spatial navigation requires that the subject find a target in the virtual circular environment that appears before but is hidden after spatial rotation and provides different cues at different stages, the spatial navigation is divided into 3 subtasks, namely self + environmental reference navigation, self-reference navigation and environmental reference navigation. As shown in fig. 3I, 308 is a schematic diagram of standard task space navigation of the present disclosure.
The face name association is divided into three stages, namely a face-name-occupation matching learning stage, a reconfirming judging stage and a matching connecting stage. As shown in fig. 3J, 309 is a schematic diagram of standard task face name associations of the present disclosure.
In some alternative embodiments, the standard set of tasks may further comprise at least one of: attention suppression tasks, attention biasing tasks, decision preference tasks, delay discount tasks, and look-ahead memory and mode separation tasks.
Wherein, the attention suppressing task is based on a touch screen task of a Stroop task, and the cognitive conflict of a subject, namely, the conflict of the meaning of color and color vocabulary and the solution thereof are examined. The attention deviation task is based on a touch screen task of the point detection task, and is used for observing attention deviation of a subject after a specific emotional clue, and is particularly suitable for negative attention deviation assessment of an individual with emotional disorder. The decision preference task is based on a touch screen task of the love-bloom risk decision paradigm, and the subject risk decision preference and the implied related addictive properties are examined. The delayed discount task is based on the laboratory delayed discount task, examining the subject's under-laboratory control decisions and heat-suppressing ability and its implication of relevant addictive properties. The task of separating look-ahead memory from patterns refers to the memory of completing a certain activity or activities at a certain moment in the future, and look-ahead memory is more relevant to daily functions than retrospective memory, i.e. remembering what has happened. The old people show what to forget to do, namely the reaction of the prospective memory function. Pattern separation refers to the process of orthogonalizing overlapping input information into different memory characterizations, which may be a sensitive marker of memory function changes, and studies have shown that this task is quite sensitive to early mild cognitive impairment risk prediction. The task skillfully combines the two norms, synchronously surveys forward looking and backtracking memories and characterization similarity in the backtracking memories, and can carefully and sensitively survey the memory function.
In some alternative embodiments, the task parameters include at least one of: the number and time of exercises before the start of the test task, whether the test task can be redone, the number of executables of the test task, the duration of the test task operation, whether the test task has real-time feedback, and whether the test result of the test task is visible to the subject.
The training times and time before the test task is started are used for setting whether training exists before the test task is started, and when training exists, the training times of the test task are several times, and the training time is how long. Whether the test task can be redone is used for setting whether the test task can be redone, and when the test task can be redone, the test task can be redone several times. The executable times of the test tasks are used for setting the times that the test tasks can be done. The test task operation duration is used for setting the operation time and the operation time length of the test task. Whether the test task has real-time feedback is used for setting whether the test task has real-time feedback. Whether the test results of the test task are visible to the subject or whether the feedback report for setting the test task is visible to the subject.
The task parameters and parameter values corresponding to different standard tasks may be the same or different.
For example, the task parameters corresponding to the quick key may be 3 times and 10 minutes respectively before the test task starts, the test task may not be reworked, and the executable time of the test task is 2. The task parameter marked as B of the center of the quick point can be the exercise times and time before the test task starts, which are respectively 2 times and 15 minutes, the test task can be repeated for 3 times, and the test task can be fed back in real time. The task parameter corresponding to the mark C of the memory block can be the training times and time before the test task starts, which are 3 times and 10 minutes respectively, the test task can not be repeated, the test task can be fed back in real time, and the test result of the test task can be visible to the subjects.
Step 202, the server receives a test task uploading request sent by the testing end.
Here, the test task upload request may include a sequence of test tasks.
In this embodiment, the server (e.g. the server 105 shown in fig. 1) receives the test task upload request sent by the testing end, i.e. the test task upload request in step 201.
The test task uploading request comprises a test task sequence, and the test task comprises a standard task identifier and corresponding task parameter configuration information.
The corresponding task parameter configuration information refers to the task parameters and parameter values corresponding to the corresponding standard task, for example, in step 201, the task parameters corresponding to the quick key may be the training times and time before the test task starts are 3 times and 10 minutes, respectively, and the executable times of the test task are 2.
In step 203, the server generates a test task identifier corresponding to the test task sequence, stores the test task identifier and the test task sequence, and sends the test task identifier to the administration end.
In this embodiment, after receiving the test task sequence, the server first generates a test task identifier corresponding to the test task sequence. Wherein the test task identification is used to uniquely determine the test task sequence.
In some alternative embodiments, the test task identifier may be an activation code of the test task, for example, a barcode, a two-dimensional code, a character string, etc., which is not specifically limited herein.
And then, correspondingly storing the test task identification and the test task sequence, and sending the test task identification to the testing end.
For example, for three test tasks of the quick key, the center of the quick key and the memory block, the corresponding test task sequence may be to test the center of the quick key, then test the quick key and finally test the memory block. And generating a two-dimensional code corresponding to the test task sequence for the test task sequence, and then sending the two-dimensional code to the testing end.
In step 204, the testing end sends the testing task identifier to the tested end in response to receiving the testing task identifier fed back by the server end in response to the testing task uploading request.
In this embodiment, after the testing end receives the testing task identifier fed back by the server end in response to the testing task uploading request, the testing task identifier is sent to the tested end.
For example, after the testing end receives the two-dimensional code corresponding to the testing task sequence, the tester directly shares the two-dimensional code to the tested end through the testing end. For example, sharing via bluetooth, mobile applications, etc. Alternatively, the test task identifier may be sent to the test end in other manners.
The two-dimensional code information displayed by the tested end scanning and testing end can be also used for sending the two-dimensional code to the tested end. The present invention is not particularly limited herein.
In step 205, the tested end responds to the received test task identifier sent by the tested end and presents the test task identifier.
In this embodiment, the tested terminal presents the test task identifier on the tested terminal when receiving the test task identifier sent by the tested terminal.
For example, after the application program shares the two-dimensional code to the tested end, the tested end displays the two-dimensional code.
In step 206, the tested end responds to the detection of the test starting operation of the subject aiming at the test task identifier, generates a test request comprising the test task identifier, and sends the test request to the service end.
In this embodiment, the test terminal responds to the test starting operation of the subject for the test task identifier, generates a test request including the test task identifier, and sends the test request to the server terminal.
Here, the start test operation may be, for example, clicking a button for starting a test, or may be an operation for requesting to enter a test task interface, or the like, and is not particularly limited herein.
In step 207, the server obtains the test task sequence corresponding to the test task identifier in response to receiving the test request including the test task identifier sent by the test terminal, and sends the test task sequence to the test terminal.
In this embodiment, the server may obtain a test task sequence corresponding to the test task identifier according to the test task identifier in the test request, and then send the test task sequence to the test end, so that the test end may provide corresponding test tasks according to the sequence in the test task sequence, and perform task parameter configuration according to the task parameter configuration information in the corresponding test task in the process of providing the standard task indicated by the standard task identifier in the corresponding test task.
In step 208, the tested end responds to the test task sequence fed back by the received server end in response to the test request, provides corresponding test tasks according to the sequence of the test tasks in the test task sequence, and performs task parameter configuration according to the task parameter configuration information in the corresponding test tasks.
In this embodiment, when receiving the test task sequence fed back by the server in response to the test request, the test end provides corresponding test tasks according to the sequence of the test tasks in the test task sequence, and performs task parameter configuration according to the task parameter configuration information in the corresponding test tasks in the process of providing the standard tasks indicated by the standard task identifiers in the corresponding test tasks.
For example, for a test task sequence that tests a quick-click circle center, then tests a quick-click button, and finally tests a memory square. And providing corresponding test tasks according to the sequence of testing the center of the quick point, testing the quick key, and testing the memory blocks, and configuring corresponding task parameters and parameter values according to the task parameter configuration information of the center of the quick point when the standard task center of the quick point indicated by the mark B of the center of the quick point is provided. When the standard task quick key indicated by the mark A of the quick key is provided, corresponding task parameters and parameter values are configured according to the task parameter configuration information of the quick key. When providing the standard task memory block indicated by the identification C of the memory block, corresponding task parameters and parameter values are configured according to the task parameter configuration information of the memory block.
In step 209, the tested end responds to the detection of the ending test operation of the tested object aiming at the test task identifier, acquires the task test result sequence in the process of executing the test task sequence by the tested object, generates a test result uploading request, and sends the test result uploading request to the server end.
In this embodiment, the test ending operation of the test task identifier by the subject may be an operation of clicking the test task completion button after the test task is completed, or an operation of completing the last standard task by the subject, which is not limited herein.
When the tested end detects the test ending operation of the test task identifier, the tested end acquires the task test result sequence in the process of executing the test task sequence by the tested end, and generates a test result uploading request.
Specifically, a test result uploading request comprising a subject identifier, a test task identifier and a task test result sequence is generated, and the test result uploading request is sent to the server. The subject identification is used to uniquely determine the subject identity, and may be, for example, ID information or identification card number information representing the subject, or the like.
In step 210, the server responds to the receiving of the test result uploading request sent by the tested end, and correspondingly stores the subject identifier, the test task identifier and the task test result sequence to the test result set.
In this embodiment, after receiving a test result uploading request sent by the test end, the server stores the subject identifier, the test task identifier, and the task test result in correspondence to the test result set, where the test result uploading request includes the subject identifier, the test task identifier, and the task test result sequence.
In step 211, the testing end responds to the detection of the test result acquisition operation for the subject identifier and the test task identifier input by the target administrator, generates a test result acquisition request including the subject identifier and the test task identifier, and sends the test result acquisition request to the server.
In this embodiment, the testing end detects the test result obtaining operation for the subject identifier and the test task identifier input by the target administrator, for example, the operation of clicking the confirm test result obtaining button after the target administrator inputs the subject identifier and the test task identifier in the interface for obtaining the test result by the testing end, in which case, a test result obtaining request including the subject identifier and the test task identifier is generated, and the test result obtaining request is sent to the server.
In step 212, the server side sends the task test result sequence corresponding to the subject identifier and the test task identifier in the test result set to the testing side for presentation in response to receiving the test result acquisition request sent by the testing side.
In this embodiment, when receiving the test result obtaining request in step 211, the server sends the task test result sequence corresponding to the subject identifier and the test task identifier in the test set stored in step 210 to the testing end and presents the task test result sequence at the testing end.
Wherein the test result acquisition request includes a subject identification and a test task identification.
In step 213, the testing end responds to the task testing result sequence fed back by the receiving server end in response to the testing result obtaining request, and presents the task testing result sequence.
In this embodiment, the testing end presents the task test result sequence according to the task test result sequence fed back by the server end in response to the test result acquisition request.
The embodiment of the disclosure provides a disease cognition evaluation method, a device, an electronic device and a storage medium, wherein a test task uploading request is sent to a server through a test application end, the server generates a test task identifier corresponding to the test task, the test application end sends the test task identifier to the test application end, the test application end receives the test task identifier sent by the test application end, starts a test operation aiming at the test task identifier, generates a test request of the test task identifier and sends the test request to the server, the server receives the test request which is sent by the test application end and comprises the test task identifier, acquires a test task sequence corresponding to the test task identifier, sends the test task sequence to the test application end, provides corresponding test tasks according to the sequence of test tasks in the test application sequence, and performs task parameter configuration according to task parameter configuration information in the corresponding test tasks in the standard task process indicated by the standard task identifier, the test application end detects the test operation of a subject aiming at the test task identifier, acquires a task result sequence in the process of executing the test task by the subject, sends the test result uploading request to the server, and sends the test result showing the received test result to the test application end according to the test application end. According to the method and the device, different testing tasks can be generated for different subjects, task parameters of corresponding tasks can be configured for the subjects in an individualized mode according to the conditions of the subjects, and accordingly the purposes of adjusting the testing tasks according to crowd specificity in an individualized and flexible mode and adjusting the difficulty of the testing tasks according to the task parameters are achieved.
With continued reference to FIG. 4, a flow of a standard task set acquisition approach stored by the server is shown.
The following details the acquisition mode of the standard task set stored by the server:
step 401, a set of cognitive psychology paradigms is obtained.
In this embodiment, the set of cognitive psychological norms is obtained, for example, by crawling the cognitive psychological norms in the theoretical dimension domain of the cognitive system according to the research domain standard.
Step 402, for each cognitive psychology paradigm, performing the following document retrieval operations: searching for documents matching the cognitive psychology paradigm, and determining a number of documents related to the clinical trial in the searched documents as a number of clinical trial documents corresponding to the cognitive psychology paradigm.
In this embodiment, specifically, for each cognitive psychology pattern, each task pattern may be searched in a document search website according to the name of the cognitive psychology pattern, a document matching the cognitive psychology pattern is obtained, and then the number of documents related to the clinical trial in the searched documents is determined as the number of clinical trial documents corresponding to the cognitive psychology pattern. The number of documents related to clinical trials may include, among other things, the number of clinical trial documents and the number of clinical randomized controlled trial documents.
Step 403, determining a candidate cognitive psychology paradigm set from the cognitive psychology paradigm sets according to the total amount of matching documents and the number of clinical trial documents corresponding to each cognitive psychology paradigm.
In this embodiment, each cognitive psychology paradigm corresponds to one of N specific dimensions. One particular dimension corresponds to at least one cognitive psychology paradigm.
Wherein the particular dimension includes at least one of: motion control, optokinetic integration, working memory, cognitive refresh, executive function, continuous attention, reaction suppression, cognitive suppression, spatial navigation, face learning, look-ahead memory, situational memory, pattern separation, memory binding, delayed discount, risk decisions, mood bias, and mood control.
In some alternative embodiments, for each cognitive psychology paradigm, the ratio of the number of clinical trial documents corresponding to that cognitive psychology paradigm divided by the total number of matching documents is determined as the clinical application value corresponding to that cognitive psychology paradigm.
For each particular dimension, the following candidate cognitive psychology paradigm determination operations are performed: and adding the cognitive psychology norms with the total amount of the corresponding matched documents being larger than a preset document total amount threshold and the clinical application value being larger than a preset clinical application value threshold in each cognitive psychology norms corresponding to the specific dimension in the cognitive psychology norms set into the candidate cognitive psychology norms set.
For example, the preset document total amount threshold may be 500, and the preset clinical application value threshold may be 0.1, which is not particularly limited herein.
For a particular dimension 1, the corresponding cognitive psychographic paradigms are cognitive psychographic paradigms a, b, and c, respectively.
Assuming that the total amount of matching documents of a is 600, the clinical application value is 0.2.b has a total amount of 400 matching documents and a clinical application value of 0.15.c, determining that the total amount of the matched documents corresponding to the cognitive psychology pattern a is greater than a preset document total amount threshold and the clinical application value is greater than a preset clinical application value threshold when the total amount of the matched documents is 520 and the clinical application value is 0.2, and adding the cognitive psychology pattern a into the candidate cognitive psychology pattern set.
In response to determining that at least one of a total amount of matching documents or a clinical application value of each of the set of cognitive psychology norms corresponding to the particular dimension is not greater than a preset total amount of documents threshold or a preset clinical application value threshold, adding a highest clinically applied value of the respective one of the set of cognitive psychology norms corresponding to the particular dimension to the set of candidate cognitive psychology norms. So that there is a preservation of the cognitive psychology paradigm in each specific dimension.
For example, for a particular dimension 2, the corresponding cognitive psychographic paradigms are cognitive psychographic paradigms d and e, respectively.
Assuming that the total amount of matching documents of d is 300, the clinical application value is 0.08.b has 600 total matching documents and 0.07 clinical application value.
The cognitive psychology paradigm d with the highest clinical application value corresponding to the cognitive psychology paradigm d and e corresponding to the specific dimension 2 is added to the candidate cognitive psychology paradigm set.
Step 404, determining a standard task paradigm set in the candidate cognitive psychology paradigm set according to at least one of the following of each candidate cognitive psychology paradigm: the level of electronization value, the level of content effectiveness value and the number of applicable scenes, and storing the standard task identification and corresponding task parameters of the standard task corresponding to each standard task paradigm into the standard task set.
In this embodiment, after the candidate cognitive psychology paradigm sets are obtained, for each candidate cognitive psychology paradigm, a standard task paradigm set is determined in the candidate cognitive psychology paradigm set according to at least one of the degree of electronability value, the content efficiency value, and the number of applicable scenarios of each candidate cognitive psychology paradigm, and a standard task identification and corresponding task parameters of a standard task corresponding to each standard task paradigm are stored to the standard task set.
Wherein the level of electronability value refers to whether the psychological paradigm is suitable for computerization and the difficulty of computerization. The content validity value refers to whether the psychological paradigm can reflect corresponding cognitive ability more conveniently, and the applicable scene number refers to whether the psychological paradigm can adapt to various application scenes.
In some alternative embodiments, the set of standard task norms is determined from the set of candidate cognitive psychology norms according to at least one of the following for each candidate cognitive psychology norms: first, for each candidate cognitive psychology paradigm, determining a standard task paradigm score for the candidate cognitive psychology paradigm according to the level of electronization, the level of content effectiveness, and the number of applicable scenarios for the candidate cognitive psychology paradigm.
In some alternative embodiments, the standard task paradigm score for the candidate cognitive psychology paradigm may be determined by calculating weighted scoring values for the level of electronization value, the level of content effectiveness value, and the number of applicable scenes. For example, the weighted proportions of the level of electronization value, the content effectiveness value, and the number of applicable scenes are 0.6,0.3,0.1, respectively. The standard task paradigm score is 1-7 points and is not specifically limited herein.
And then, generating a standard task paradigm set by using the candidate cognitive psychology paradigm with the standard task paradigm score larger than a preset labeling task paradigm score threshold in the candidate cognitive psychology paradigm set.
For example, the preset labeling task paradigm score threshold may be 4 points.
The standard tasks corresponding to each standard task pattern are designed according to the corresponding labeling task pattern.
In some alternative embodiments, the standard set of task paradigms includes at least one of: motion control task paradigm, optokinetic integration task paradigm, spatial working memory task paradigm, update add task paradigm, signal stop task paradigm, alternate link task paradigm, continuous operation attention task paradigm, feature binding task paradigm, spatial navigation task paradigm, and face associative memory task paradigm.
The vision and movement integrating task is used for testing the cognitive processing capacity of the coordination, integration vision and finger actions of the subject, the vision and movement integrating task can well inspect the vision and movement integrating capacity by utilizing a design similar to red packet rain, and the circle center hitting distance is used as a continuous variable, so that the vision and movement integrating task has good measurement significance. The working memory is a memory system with limited capacity for temporarily processing and storing information, is the basis of numerous social functions, is used for measuring the non-language capacity and has self-adaptive difficulty adjustment, and can be used for measuring the working memory function of a subject based on visual space, and is not influenced by education level and individual speech capacity. The update addition task is used for measuring the ability of a subject to continuously update information in a working memory according to a current task, the signal stop task is used for measuring the ability of the subject to inhibit self-reaction in an external situation or in a situation of internal demands, the alternate connection task is used for measuring an execution function, the execution function refers to the ability to flexibly integrate and cooperatively operate different cognitive processes for achieving a specific object, the comprehensive cognitive function is a comprehensive cognitive function, namely, the ability of the subject to flexibly integrate and cooperatively operate different cognitive processes is measured, the continuous operation attention task is used for measuring the ability of the subject to concentrate on task related information for a long time, the feature binding task is used for measuring the formation and temporary holding ability of any feature combination in the subject or the working memory, and the obstacle represented on the task is regarded as a sensitive cognitive or memory marker of Alzheimer's disease, which is helpful for early detection of AD (Alzheimer's disease), and shows high sensitivity and high specificity to AD. The spatial navigation task is used for measuring the capacity of a tester to judge a route based on self and environmental cues when moving among different places, and the spatial navigation capacity is an important cognitive phenotype basis of many cognitive disorder groups and the lost of the old in real life, and is rarely involved in the current cognitive assessment products. The face association memory task is used for measuring the association memory capacity of daily materials of testers, face occupation names are the most important memory materials in daily life and are test contents which can be understood by the old, the face association learning task is incorporated into the MCI (mild cognitive impairment) or the AD risk screening cognitive assessment task consensus in the united states and has related products, and domestic related paradigms and attempts are precedent.
The device comprises a motion control task, a quick key, a visual movement integration task, a quick point center, a spatial work memory task, a memory block, an update addition task, a continuous addition, a signal stop task, a signal stop, an alternate connection task, an alternate connection, a continuous operation attention task, a clock judgment, a characteristic binding task, a memory binding task, a spatial navigation task, a face association memory task and a face name association.
With continued reference to fig. 5, a flow chart 500 of one embodiment of a cognitive ability assessment method according to the present disclosure is shown. The cognitive ability evaluation method is applied to a server side in a cognitive ability evaluation system, the cognitive ability evaluation system comprises a tested side, a testing side and a server side, the tested side and the testing side are respectively connected with a server side network, the server side is used for storing a standard task set, and a standard task corresponds to a standard task identifier and at least one task parameter. The method flow 500 may include the steps of:
step 501, receiving a test task uploading request sent by a testing end, where the test task uploading request includes a test task sequence.
The test task comprises standard task identification and corresponding task parameter configuration information.
Step 502, generating a test task identifier corresponding to the test task sequence, storing the test task identifier and the test task sequence, and sending the test task identifier to the testing end.
In step 503, in response to receiving the test request including the test task identifier sent by the test end, a test task sequence corresponding to the test task identifier is obtained, and the test task sequence is sent to the test end.
The method comprises the steps of responding to a test request which is sent by a tested end and comprises a test task identifier, obtaining a test task sequence corresponding to the test task identifier, sending the test task sequence to the tested end so that the tested end provides corresponding test tasks according to the sequence of the test tasks in the test task sequence, and carrying out task parameter configuration according to task parameter configuration information in corresponding test tasks in the process of providing standard tasks indicated by standard task identifiers in the corresponding test tasks.
Step 504, in response to receiving the test result uploading request sent by the tested end, the subject identifier, the test task identifier and the task test result sequence are correspondingly stored in the test result set.
The test result uploading request comprises a subject identifier, the test task identifier and a task test result sequence.
Step 505, in response to receiving the test result acquisition request sent by the testing end, a task test result sequence corresponding to the subject identifier and the test task identifier in the test result set is sent to the testing end for presentation.
Wherein the test result acquisition request includes a subject identification and a test task identification.
In this embodiment, the specific operations and effects of steps 501, 502, 503, 504 and 505 are substantially the same as those of steps 202, 203, 207, 210 and 212 in the embodiment shown in fig. 2, and are not described herein.
With continued reference to fig. 6, a flow chart 600 of one embodiment of a cognitive ability assessment method according to the present disclosure is shown. The cognitive ability evaluation method is applied to a testing end in a cognitive ability evaluation system, the cognitive ability evaluation system comprises a tested end, a testing end and a service end, the tested end and the testing end are respectively connected with a service end through a network, the service end is used for storing a standard task set, and a standard task corresponds to a standard task identifier and at least one task parameter. The method 600 may include the steps of:
in step 601, in response to detecting the test task uploading operation for the test task sequence input by the target administrator, a test task uploading request including the test task sequence is generated, and the test task uploading request is sent to the server.
The test task comprises a standard task identification and corresponding task parameter configuration information.
Step 602, in response to receiving the test task identifier fed back by the server in response to the test task uploading request, the test task identifier is sent to the tested end.
In step 603, in response to detecting the test result acquisition operation for the subject identifier and the test task identifier input by the target administrator, a test result acquisition request including the subject identifier and the test task identifier is generated, and the test result acquisition request is sent to the server.
Step 604, in response to receiving the task test result sequence fed back by the server in response to the test result acquisition request, presenting the task test result sequence.
In this embodiment, the specific operations and effects of steps 601, 602, 603 and 604 are substantially the same as those of steps 201, 204, 211 and 213 in the embodiment shown in fig. 2, and are not described herein.
With continued reference to fig. 7, a flow chart 700 of one embodiment of a cognitive ability assessment method according to the present disclosure is shown. The cognitive ability evaluation method is applied to a tested end of a cognitive ability evaluation system, wherein the cognitive ability evaluation system comprises the tested end, a testing end and a server end, and the tested end and the testing end are respectively connected with a server end through a network. The method 700 may include the steps of:
In step 701, in response to receiving the test task identifier sent by the testing end, the test task identifier is presented.
In step 702, in response to detecting a start test operation of the subject for the test task identifier, a test request including the test task identifier is generated and sent to the server.
In step 703, in response to receiving the test task sequence fed back by the server in response to the test request, corresponding test tasks are provided according to the sequence of the test tasks in the test task sequence, and task parameter configuration is performed according to the task parameter configuration information in the corresponding test tasks.
Specifically, the tested end performs task parameter configuration according to the task parameter configuration information in the corresponding test task in the process of providing the standard task indicated by the standard task identifier in the corresponding test task.
Step 704, in response to detecting the ending test operation of the subject for the test task identifier, obtaining a task test result sequence in the process of executing the test task sequence by the subject, generating a test result uploading request including the subject identifier, the test task identifier and the task test result sequence, and transmitting the test result uploading request to the server.
In this embodiment, the specific operations and effects of steps 701, 702, 703 and 704 are substantially the same as those of steps 205, 207, 208 and 209 in the embodiment shown in fig. 2, and are not described herein.
With further reference to fig. 8, as an implementation of the method shown in the foregoing figures, the present disclosure provides an embodiment of a cognitive ability assessment apparatus, which corresponds to the steps in the method embodiment shown in fig. 5, and which is particularly applicable to various servers.
As shown in fig. 8, the cognitive ability evaluation device 800 of the present embodiment includes: a test task upload request receiving unit 801, a test task identification generating unit 802, a test task storage unit 803, a test task identification transmitting unit 804, a test task sequence acquiring unit 805, a test task sequence transmitting unit 806, a test result storage unit 807, and a test result sequence transmitting unit 808.
The test task uploading request receiving unit 801 is configured to receive a test task uploading request sent by the testing end, where the test task uploading request includes a test task sequence, and the test task includes a standard task identifier and corresponding task parameter configuration information.
A test task identifier generating unit 802, configured to generate a test task identifier corresponding to a test task sequence;
a test task storage unit 803 for storing a test task identifier and a test task sequence in correspondence;
a test task identifier sending unit 804, configured to send a test task identifier to a testing end;
a test task sequence obtaining unit 805, configured to obtain a test task sequence corresponding to a test task identifier in response to receiving a test request including the test task identifier sent by the test end;
the test task sequence sending unit 806 is configured to send the test task sequence to the tested end, so that the tested end provides corresponding test tasks according to the sequence of the test tasks in the test task sequence, and performs task parameter configuration according to task parameter configuration information in the corresponding test tasks in a process of providing standard tasks indicated by standard task identifiers in the corresponding test tasks;
a test result storage unit 807, configured to, in response to receiving a test result upload request sent by the test terminal, store the subject identifier, the test task identifier, and the task test result sequence in correspondence to a test result set, where the test result upload request includes the subject identifier, the test task identifier, and the task test result sequence;
The test result sequence sending unit 808 is configured to send, to the testing end, a task test result sequence corresponding to the subject identifier and the test task identifier in the test result set to be presented in response to receiving a test result acquisition request sent by the testing end, where the test result acquisition request includes the subject identifier and the test task identifier.
In some alternative embodiments, the standard task set stored by the server is obtained by:
acquiring a cognitive psychology paradigm set;
for each cognitive psychology paradigm, the following document retrieval operations are performed: retrieving documents matching the cognitive psychology paradigm, and determining a number of documents of the retrieved documents that relate to clinical trials as a number of clinical trial documents corresponding to the cognitive psychology paradigm; determining a candidate cognitive psychology paradigm set in the cognitive psychology paradigm set according to the total amount of matching documents and the number of clinical trial documents corresponding to each cognitive psychology paradigm; determining a set of standard task norms in the set of candidate cognitive psycho-norms according to at least one of the following for each candidate cognitive psycho-norms: the electronization degree value, the content effectiveness value and the number of applicable scenes; and storing the standard task identification and the corresponding task parameters of the standard task corresponding to each standard task normal form into a standard task set, wherein the standard task corresponding to each standard task normal form is designed according to the corresponding labeling task normal form.
In some alternative embodiments, each cognitive psychology paradigm corresponds to one of N specific dimensions; determining a candidate cognitive psychology paradigm set in the cognitive psychology paradigm set according to the total amount of matching documents and the number of clinical test documents corresponding to each cognitive psychology paradigm, and determining the ratio of the number of clinical test documents corresponding to the cognitive psychology paradigm to the total amount of matching documents as the clinical application value corresponding to the cognitive psychology paradigm; for each particular dimension, the following candidate cognitive psychology paradigm determination operations are performed: adding the cognitive psychology norms of which the corresponding matched literature total amount is larger than a preset literature total amount threshold value and the clinical application value is larger than a preset clinical application value threshold value in each cognitive psychology norms corresponding to the specific dimension in the cognitive psychology norms set to the candidate cognitive psychology norms set; in response to determining that at least one of a total amount of matching documents or a clinical application value of each of the set of cognitive psychology norms corresponding to the particular dimension is not greater than a preset total amount of documents threshold or a preset clinical application value threshold, adding a highest clinically applied value of the respective one of the set of cognitive psychology norms corresponding to the particular dimension to the set of candidate cognitive psychology norms.
In some alternative embodiments, at least one of the following for each candidate cognitive psychology paradigm, a set of standard task paradigms is determined among the set of candidate cognitive psychology paradigms: the electronization degree value, the content effectiveness value and the applicable scene number comprise: for each candidate cognitive psychology paradigm, determining a standard task paradigm score for the candidate cognitive psychology paradigm according to the level of electronization value, the content effectiveness value, and the number of applicable scenes of the candidate cognitive psychology paradigm; and generating a standard task paradigm set by using the candidate cognitive psychology paradigm with the standard task paradigm score larger than a preset labeling task paradigm score threshold in the candidate cognitive psychology paradigm set.
In some alternative embodiments, the task parameters include at least one of: the number and time of exercises before the start of the test task, whether the test task can be redone, the number of executables of the test task, the duration of the test task operation, whether the test task has real-time feedback, and whether the test result of the test task is visible to the subject.
In some alternative embodiments, the standard set of task paradigms includes at least one of: motion control task paradigm, optokinetic integration task paradigm, spatial working memory task paradigm, update add task paradigm, signal stop task paradigm, alternate link task paradigm, continuous operation attention task paradigm, feature binding task paradigm, spatial navigation task paradigm, and face associative memory task paradigm.
In some alternative embodiments, the standard set of tasks includes at least one of: quick key, quick point center, memory block, continuous addition, signal stop, alternate connection, clock judgment, memory binding, spatial navigation and face name association.
With further reference to fig. 9, as an implementation of the method shown in the foregoing figures, the present disclosure provides an embodiment of a cognitive ability assessment apparatus, where the embodiment of the apparatus corresponds to the steps in the embodiment of the method shown in fig. 6, and the apparatus may be specifically applied in various terminal devices.
As shown in fig. 9, the cognitive ability evaluation device 900 of the present embodiment includes: a test task upload request generation unit 901, a test task upload request transmission unit 902, a test task identification transmission unit 903, a test result acquisition request generation unit 904, a test result acquisition request transmission unit 905, and a task test result presentation unit 906.
The test task uploading request generating unit 901 is configured to generate a test task uploading request including a test task sequence in response to detection of a test task uploading operation for the test task sequence input by a target administrator, where the test task includes a standard task identifier and corresponding task parameter configuration information;
A test task uploading request sending unit 902, configured to send a test task uploading request to a server;
a test task identifier sending unit 903, configured to send a test task identifier to a tested end in response to receiving a test task identifier that is fed back by the server end in response to a test task uploading request;
a test result acquisition request generation unit 904 for generating a test result acquisition request including a subject identifier and a test task identifier in response to detection of a test result acquisition operation for the subject identifier and the test task identifier input by the target administrator;
a test result acquisition request sending unit 905, configured to send a test result acquisition request to a server;
the task test result presenting unit 906 is configured to present a task test result sequence in response to receiving the task test result sequence fed back by the server in response to the test result acquisition request.
With further reference to fig. 10, as an implementation of the method shown in the foregoing figures, the present disclosure provides an embodiment of a cognitive ability assessment apparatus, where the embodiment of the apparatus corresponds to the steps in the embodiment of the method shown in fig. 7, and the apparatus may be specifically applied in various terminal devices.
As shown in fig. 10, the cognitive ability evaluation device 1000 of the present embodiment includes: a test task identification presenting unit 1001, a test request generating unit 1002, a test request transmitting unit 1003, a test task processing unit 1004, a task test result sequence acquiring unit 1005, a test result uploading request generating unit 1006, and a test result uploading request transmitting unit 1007.
Wherein, the test task identifier presenting unit 1001 is configured to respond to receiving a test task identifier sent by the testing end, and present the test task identifier;
a test request generation unit 1002 for generating a test request including a test task identifier in response to detecting a start test operation of the subject for the test task identifier;
a test request sending unit 1003, configured to send a test request to a server;
the test task processing unit 1004 is configured to provide corresponding test tasks according to the sequence of the test tasks in the test task sequence in response to receiving the test task sequence fed back by the server in response to the test request, and perform task parameter configuration according to task parameter configuration information in the corresponding test tasks in the process of providing the standard tasks indicated by the standard task identifiers in the corresponding test tasks;
A task test result sequence obtaining unit 1005, configured to obtain a task test result sequence in a process of executing a test task sequence by a subject in response to detecting an ending test operation of the subject for a test task identifier;
a test result upload request generation unit 1006 for generating a test result upload request comprising a subject identification, a test task identification and a task test result sequence,
the test result uploading request sending unit 1007 is configured to send a test result uploading request to the server.
Referring now to FIG. 11, there is illustrated a schematic diagram of a computer system 1100 suitable for use in implementing the terminal device of the present disclosure. The computer system 1100 illustrated in fig. 11 is merely an example, and should not be construed as limiting the functionality and scope of use of embodiments of the present disclosure.
As shown in fig. 11, the computer system 1100 may include a processing device (e.g., a central processing unit, a graphics processor, etc.) 1101 that may perform various suitable actions and processes in accordance with programs stored in a Read Only Memory (ROM) 1102 or loaded from a storage device 1108 into a Random Access Memory (RAM) 1103. In the RAM 1103, various programs and data required for the operation of the computer system 1100 are also stored. The processing device 1101, ROM 1102, and RAM 1103 are connected to each other by a bus 1104. An input/output (I/O) interface 11011 is also connected to bus 1104.
In general, the following devices may be connected to the I/O interface 11011: input devices 1106 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, and the like; an output device 1107 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 1108, including for example, magnetic tape, hard disk, etc.; and a communication device 1109. The communication means 1109 may allow the computer system 1100 to communicate wirelessly or by wire with other devices to exchange data. While fig. 11 illustrates a computer system 1100 of an electronic device having various means, it should be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via communications device 1109, or from storage device 1108, or from ROM 1102. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by the processing means 1101.
It should be noted that the computer readable medium described in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to implement a cognitive ability assessment method as illustrated in the embodiments and alternative implementations thereof shown in at least one of fig. 5, 6 and 7.
Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments described in the present disclosure may be implemented by means of software, or may be implemented by means of hardware. The name of the unit does not constitute a limitation of the unit itself in some cases, and for example, the test task upload request transmitting unit may also be described as a "transmitting unit".
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this disclosure is not limited to the specific combinations of features described above, but also covers other embodiments which may be formed by any combination of features described above or equivalents thereof without departing from the spirit of the disclosure. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).
Claims (17)
1. The cognitive ability evaluation method is applied to a server side in a cognitive ability evaluation system, the cognitive ability evaluation system comprises a tested side, a tested side and a server side, the tested side and the tested side are respectively connected with the server side through a network, the server side is used for storing a standard task set, and the standard task corresponds to a standard task identifier and at least one task parameter, and the method comprises the following steps:
receiving a test task uploading request sent by the testing end, wherein the test task uploading request comprises a test task sequence, and the test task comprises a standard task identifier and corresponding task parameter configuration information;
Generating a test task identifier corresponding to the test task sequence, storing the test task identifier and the test task sequence correspondingly, and sending the test task identifier to the testing end;
responding to a test request which is sent by the tested end and comprises the test task identifier, acquiring the test task sequence corresponding to the test task identifier, and sending the test task sequence to the tested end so that the tested end provides corresponding test tasks according to the sequence of the test tasks in the test task sequence, and in the process of providing standard tasks indicated by the standard task identifier in the corresponding test tasks, carrying out task parameter configuration according to task parameter configuration information in the corresponding test tasks;
responding to a test result uploading request sent by the tested end, wherein the test result uploading request comprises a subject identifier, the test task identifier and a task test result sequence, and correspondingly storing the subject identifier, the test task identifier and the task test result sequence into a test result set;
and responding to the receiving of a test result acquisition request sent by the testing end, wherein the test result acquisition request comprises the subject identifier and the test task identifier, and sending the task test result sequence corresponding to the subject identifier and the test task identifier in the test result set to the testing end for presentation.
2. The method of claim 1, wherein the standard task set stored by the server is obtained by:
acquiring a cognitive psychology paradigm set;
for each of the cognitive psychology paradigms, the following document retrieval operations are performed: retrieving documents matching the cognitive psychology paradigm, and determining a number of documents of the retrieved documents that relate to clinical trials as a number of clinical trial documents corresponding to the cognitive psychology paradigm;
determining a candidate set of cognitive psychology norms from the set of cognitive psychology norms based on the total amount of matching documents and the number of clinical trial documents corresponding to each of the cognitive psychology norms;
determining a set of standard task norms from the set of candidate cognitive psycho-norms according to at least one of the following for each of the candidate cognitive psycho-norms: the electronization degree value, the content effectiveness value and the number of applicable scenes; and
and storing standard task identifications and corresponding task parameters of standard tasks corresponding to each standard task normal form into the standard task set, wherein the standard tasks corresponding to each standard task normal form are designed according to the corresponding labeling task normal form.
3. The method of claim 2, wherein each of the cognitive psychographic paradigms corresponds to one of N specific dimensions; and
the determining a candidate set of cognitive psychology norms in the set of cognitive psychology norms according to the total amount of matching documents and the number of clinical trial documents corresponding to each of the cognitive psychology norms comprises:
for each cognitive psychology model, determining a ratio of the number of clinical trial documents corresponding to the cognitive psychology model divided by the total amount of matching documents as a clinical application value corresponding to the cognitive psychology model;
for each of the particular dimensions, performing the following candidate cognitive psychology paradigm determination operations: adding the cognitive psychology norms corresponding to the matched documents in each cognitive psychology norms corresponding to the specific dimension in the cognitive psychology norms set, wherein the total amount of the matched documents is larger than a preset document total amount threshold value and the clinical application value is larger than a preset clinical application value threshold value;
in response to determining that at least one of a total amount of matching documents or a clinical application value of each of the set of cognitive psychology patterns corresponding to the particular dimension is not greater than the preset document total amount threshold or the preset clinical application value threshold, adding a highest clinically-applicable cognitive psychology pattern of the set of cognitive psychology patterns corresponding to the particular dimension to the set of candidate cognitive psychology patterns.
4. The method of claim 2, the determining a set of standard task norms in the set of candidate cognitive psycho-norms according to at least one of the following for each of the candidate cognitive psycho-norms: the electronization degree value, the content effectiveness value and the applicable scene number comprise:
for each candidate cognitive psychology paradigm, determining a standard task paradigm score of the candidate cognitive psychology paradigm according to the electronization degree value, the content effectiveness value and the number of applicable scenes of the candidate cognitive psychology paradigm;
and generating a standard task paradigm set by using the candidate cognitive psychology paradigm with the standard task paradigm score larger than a preset labeling task paradigm score threshold in the candidate cognitive psychology paradigm set.
5. The method of claim 1, wherein the task parameters include at least one of: the number and time of exercises before the start of the test task, whether the test task can be redone, the number of executables of the test task, the duration of the test task operation, whether the test task has real-time feedback, and whether the test result of the test task is visible to the subject.
6. The method of claim 4, wherein the set of standard task paradigms comprises at least one of: motion control task paradigm, optokinetic integration task paradigm, spatial working memory task paradigm, update add task paradigm, signal stop task paradigm, alternate link task paradigm, continuous operation attention task paradigm, feature binding task paradigm, spatial navigation task paradigm, and face associative memory task paradigm.
7. The method of claim 6, wherein the standard set of tasks comprises at least one of: quick key, quick point center, memory block, continuous addition, signal stop, alternate connection, clock judgment, memory binding, spatial navigation and face name association.
8. The cognitive ability evaluation method is applied to a testing end in a cognitive ability evaluation system, the cognitive ability evaluation system comprises a tested end, a testing end and a service end, the tested end and the testing end are respectively connected with the service end through a network, the service end is used for storing a standard task set, and the standard task corresponds to a standard task identifier and at least one task parameter, and the method comprises the following steps:
responding to detection of a test task uploading operation for a test task sequence input by a target constructor, wherein the test task comprises a standard task identifier and corresponding task parameter configuration information, generating a test task uploading request comprising the test task sequence, and transmitting the test task uploading request to the server;
responding to the test task identification fed back by the server side in response to the test task uploading request, and sending the test task identification to the tested side;
In response to detecting a test result acquisition operation for a subject identifier and a test task identifier input by the target administrator, generating a test result acquisition request including the subject identifier and the test task identifier, and transmitting the test result acquisition request to the server;
and responding to the task test result sequence fed back by the server side in response to the test result acquisition request, and presenting the task test result sequence.
9. The cognitive ability evaluation method is applied to a tested end of a cognitive ability evaluation system, the cognitive ability evaluation system comprises the tested end, a tested end and a service end, the tested end and the tested end are respectively connected with the service end through a network, and the method comprises the following steps:
responding to the received test task identification sent by the testing end, and presenting the test task identification;
in response to detecting a start test operation of a subject for the test task identifier, generating a test request comprising the test task identifier, and sending the test request to the server;
responding to a test task sequence fed back by the server in response to the test request, providing corresponding test tasks according to the sequence of the test tasks in the test task sequence, and performing task parameter configuration according to task parameter configuration information in the corresponding test tasks in the process of providing standard tasks indicated by standard task identifiers in the corresponding test tasks;
In response to detecting the ending test operation of the subject aiming at the test task identifier, acquiring a task test result sequence in the process of executing the test task sequence by the subject, generating a test result uploading request comprising the subject identifier, the test task identifier and the task test result sequence, and sending the test result uploading request to the server.
10. The utility model provides a cognitive ability evaluation device, is applied to the service end in the cognitive ability evaluation system, cognitive ability evaluation system includes the test end, tests the end and the service end, the test end with test the end respectively with the service end network connection, the service end is used for storing standard task set, standard task corresponds has standard task identification and at least one task parameter, includes:
the test task uploading request receiving unit is used for receiving a test task uploading request sent by the testing end, wherein the test task uploading request comprises a test task sequence, and the test task comprises a standard task identifier and corresponding task parameter configuration information;
the test task identification generation unit is used for generating a test task identification corresponding to the test task sequence;
The test task storage unit is used for correspondingly storing the test task identification and the test task sequence;
the test task identification sending unit is used for sending the test task identification to the testing end;
a test task sequence obtaining unit, configured to obtain the test task sequence corresponding to the test task identifier in response to receiving a test request sent by the test end and including the test task identifier;
the test task sequence sending unit is used for sending the test task sequence to the tested end so that the tested end provides corresponding test tasks according to the sequence of the test tasks in the test task sequence, and task parameter configuration is carried out according to task parameter configuration information in the corresponding test tasks in the process of providing standard tasks indicated by standard task identifiers in the corresponding test tasks;
the test result storage unit is used for responding to a test result uploading request sent by the tested end, wherein the test result uploading request comprises a subject identifier, a test task identifier and a task test result sequence, and correspondingly storing the subject identifier, the test task identifier and the task test result sequence into a test result set;
And the test result sequence sending unit is used for responding to a test result acquisition request sent by the testing end, wherein the test result acquisition request comprises the subject identifier and the test task identifier, and sending the task test result sequence corresponding to the subject identifier and the test task identifier in the test result set to the testing end for presentation.
11. The utility model provides a cognitive ability evaluation device, is applied to the application of test end in the cognitive ability evaluation system, cognitive ability evaluation system includes test end, application of test end and server, the test end with the application of test end respectively with the server network connection, the server is used for storing standard task set, standard task corresponds has standard task identification and at least one task parameter, includes:
the test task uploading request generation unit is used for responding to the detection of the test task uploading operation of the test task sequence input by the target constructor, wherein the test task comprises a standard task identifier and corresponding task parameter configuration information, and a test task uploading request comprising the test task sequence is generated;
the test task uploading request sending unit is used for sending the test task uploading request to the server;
The test task identification sending unit is used for responding to the test task identification fed back by the server side in response to the test task uploading request and sending the test task identification to the tested side;
a test result acquisition request generating unit configured to generate a test result acquisition request including a subject identifier and a test task identifier in response to detection of a test result acquisition operation for the subject identifier and the test task identifier input by the target administrator;
the test result acquisition request sending unit is used for sending the test result acquisition request to the server;
and the task test result presentation unit is used for presenting the task test result sequence in response to receiving the task test result sequence fed back by the server in response to the test result acquisition request.
12. The utility model provides a cognitive ability evaluation device is applied to the test end of cognitive ability evaluation system, cognitive ability evaluation system includes test end, test end and service end, the test end with the test end respectively with the service end network connection includes:
the test task identification presenting unit is used for responding to the received test task identification sent by the testing end and presenting the test task identification;
A test request generation unit for generating a test request including the test task identifier in response to detecting a start test operation of the subject with respect to the test task identifier;
a test request sending unit, configured to send the test request to the server;
the test task processing unit is used for responding to a test task sequence fed back by the server in response to the test request, providing corresponding test tasks according to the sequence of the test tasks in the test task sequence, and carrying out task parameter configuration according to task parameter configuration information in the corresponding test tasks in the process of providing standard tasks indicated by standard task identifiers in the corresponding test tasks;
a task test result sequence obtaining unit, configured to obtain a task test result sequence in a process of executing the test task sequence by the subject in response to detecting an ending test operation of the subject for the test task identifier;
a test result uploading request generating unit, configured to generate a test result uploading request including the subject identifier, the test task identifier, and the task test result sequence;
and the test result uploading request sending unit is used for sending the test result uploading request to the server.
13. A server, comprising:
one or more processors;
a storage device having one or more programs stored thereon,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-7.
14. A testing end comprising:
one or more processors;
a storage device having one or more programs stored thereon,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of claim 8.
15. A test terminal comprising:
one or more processors;
a storage device having one or more programs stored thereon,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of claim 9.
16. A computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by one or more processors implements the method of any of claims 1-7, 8 and/or 9.
17. A cognitive ability assessment system comprising a service end according to claim 13, a testing end according to claim 14 and/or a test end according to claim 15.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310902864.1A CN116898402A (en) | 2023-07-21 | 2023-07-21 | Cognitive ability evaluation method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310902864.1A CN116898402A (en) | 2023-07-21 | 2023-07-21 | Cognitive ability evaluation method and device, electronic equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116898402A true CN116898402A (en) | 2023-10-20 |
Family
ID=88356268
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310902864.1A Pending CN116898402A (en) | 2023-07-21 | 2023-07-21 | Cognitive ability evaluation method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116898402A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2003034919A2 (en) * | 2001-10-24 | 2003-05-01 | Bracco Imaging S.P.A. | Method and apparatus for evaluating the cognitive performance of an individual |
| US20140019059A1 (en) * | 2012-07-13 | 2014-01-16 | Medical Care Corporation | Mapping Cognitive to Functional Ability |
| CA2910871A1 (en) * | 2015-08-18 | 2017-02-18 | Cogniciti Inc. | Systems methods and devices for brain health assessment |
| US20170177826A1 (en) * | 2014-02-10 | 2017-06-22 | Medical Care Corporation | Assessing cognition using item-recall trials with accounting for item position |
| CN110060753A (en) * | 2019-02-22 | 2019-07-26 | 复旦大学 | Cognitive disorder patient's intervention Effects Evaluation system and method |
| CN112699230A (en) * | 2020-12-31 | 2021-04-23 | 北京万方数据股份有限公司 | Malignant tumor diagnosis and treatment knowledge acquisition method and device |
| CN115035974A (en) * | 2022-08-11 | 2022-09-09 | 北京科技大学 | Psychological assessment data management system and method |
| WO2023048548A1 (en) * | 2021-09-27 | 2023-03-30 | (주)이모티브 | Cognitive state evaluating system based on cognitive model for substituting in cognitive test task by using learning-based user-customized cognitive model |
-
2023
- 2023-07-21 CN CN202310902864.1A patent/CN116898402A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2003034919A2 (en) * | 2001-10-24 | 2003-05-01 | Bracco Imaging S.P.A. | Method and apparatus for evaluating the cognitive performance of an individual |
| US20140019059A1 (en) * | 2012-07-13 | 2014-01-16 | Medical Care Corporation | Mapping Cognitive to Functional Ability |
| US20170177826A1 (en) * | 2014-02-10 | 2017-06-22 | Medical Care Corporation | Assessing cognition using item-recall trials with accounting for item position |
| CA2910871A1 (en) * | 2015-08-18 | 2017-02-18 | Cogniciti Inc. | Systems methods and devices for brain health assessment |
| CN110060753A (en) * | 2019-02-22 | 2019-07-26 | 复旦大学 | Cognitive disorder patient's intervention Effects Evaluation system and method |
| CN112699230A (en) * | 2020-12-31 | 2021-04-23 | 北京万方数据股份有限公司 | Malignant tumor diagnosis and treatment knowledge acquisition method and device |
| WO2023048548A1 (en) * | 2021-09-27 | 2023-03-30 | (주)이모티브 | Cognitive state evaluating system based on cognitive model for substituting in cognitive test task by using learning-based user-customized cognitive model |
| CN115035974A (en) * | 2022-08-11 | 2022-09-09 | 北京科技大学 | Psychological assessment data management system and method |
Non-Patent Citations (4)
| Title |
|---|
| DING, ZH; LEE, TL AND CHAN, AS: "Digital Cognitive Biomarker for Mild Cognitive Impairments and Dementia: A Systematic Review", 《JOURNAL OF CLINICAL MEDICINE》, 31 July 2022 (2022-07-31) * |
| 孙静: "基于多媒体的认知功能评估系统之研究", 《中国优秀硕士学位论文全文数据库信息科技辑》, no. 3, 15 March 2017 (2017-03-15), pages 138 - 3934 * |
| 潘东旎;李雪冰;: "工作记忆训练在精神疾病中的应用", 心理科学进展, no. 09, 15 September 2017 (2017-09-15) * |
| 罗芸;魏寿洪;: "自闭症谱系障碍儿童社会沟通研究热点及演变分析――基于CiteSpace分析", 绥化学院学报, no. 04, 5 April 2020 (2020-04-05) * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Chaffin et al. | The promise and perils of wearable sensors in organizational research | |
| Rosa et al. | A multi-temporal context-aware system for competences management | |
| US10733543B2 (en) | Human resource analytics with profile data | |
| US20170116870A1 (en) | Automatic test personalization | |
| Po et al. | Heuristic evaluation and mobile usability: Bridging the realism gap | |
| AU2017279667B2 (en) | Automated data collection and analytics | |
| Dashti et al. | Evaluating the reliability of phones as seismic monitoring instruments | |
| KR101881630B1 (en) | Method and system for providing evaluation information and pattern information using data obtained from user terminal | |
| CN114098730B (en) | Cognitive ability testing and training method, device, equipment and medium based on cognitive map | |
| Kjeldskov et al. | Studying usability in sitro: Simulating real world phenomena in controlled environments | |
| CN109902446A (en) | Method and apparatus for generating information prediction model | |
| US10740382B2 (en) | Sentiment analysis as a quality indicator in usability testing | |
| Bristow et al. | Defining and evaluating context for wearable computing | |
| KR20160109575A (en) | Method and apparatus for job mentoring | |
| Truskinger et al. | Large scale participatory acoustic sensor data analysis: tools and reputation models to enhance effectiveness | |
| US20210390427A1 (en) | Enhanced collection of training data for machine learning to improve worksite safety and operations | |
| WO2013172639A1 (en) | System and method for analyzing experience in real time | |
| CN111553555A (en) | Training method, training device, computer equipment and storage medium | |
| CN116898402A (en) | Cognitive ability evaluation method and device, electronic equipment and storage medium | |
| Mairittha et al. | Crowdsourcing system management for activity data with mobile sensors | |
| Bader et al. | Towards automated detection of mobile usability issues | |
| Gimpel et al. | Life-integrated stress assessment | |
| KR20130040374A (en) | Method and apparatus for predicting pass probability of examination | |
| Ahmad et al. | Towards a Low‐Cost Teacher Orchestration Using Ubiquitous Computing Devices for Detecting Student’s Engagement | |
| Lopes et al. | Context-aware ubiquitous learning: Literature systematic mapping on ubiquitous learning environments |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20240509 Address after: J171, 2f, block g, Zhizao street, Zhongguancun, No. 45, Chengfu Road, Haidian District, Beijing 100083 Applicant after: Beijing Wujiang Naozhi Technology Co.,Ltd. Country or region after: China Address before: Air China Century Building, No. 40 Xiaoyun Road, Chaoyang District, Beijing, 100027 Applicant before: Ningbo Naozhi Digital Technology Co.,Ltd. Country or region before: China |