CN107550500B - Method and system for testing response inhibition capability of high-speed rail dispatcher - Google Patents
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Abstract
The invention provides a method and a system for testing the reaction inhibition capability of a high-speed rail dispatcher, wherein the method comprises the following steps: displaying a test question through a display module, wherein the test question is a Go/Nogo test; acquiring electroencephalogram data of a high-speed rail dispatcher when answering the test questions through an electroencephalogram acquisition module; recording the answer result corresponding to the test question through the recording module; if the test question is a Go test, recording the answering time length corresponding to the test question through the recording module; and determining the test result of the response inhibition capability of the high-speed rail dispatcher based on the electroencephalogram data corresponding to each test question in all the test questions, the response result and the response duration corresponding to each Go test in all the test questions. By applying the embodiment of the invention, the reaction inhibition capability of the high-speed rail dispatcher can be objectively and comprehensively evaluated, the reaction inhibition capability of the high-speed rail dispatcher can be quantitatively displayed, and a reference basis is provided for the selection and performance assessment of the high-speed rail dispatcher.
Description
Technical Field
The invention relates to the technical field of evaluation of reaction inhibition capacity, in particular to a method and a system for testing reaction inhibition capacity of a high-speed rail dispatcher.
Background
Generally, a high-speed rail dispatcher needs to monitor a video of train operation in a screen, and when an emergency situation is faced, the high-speed rail dispatcher needs to make a response judgment of doing or not doing, and the traffic safety is greatly influenced by interruption or delay. The ability of high-speed rail dispatchers to respond to inhibition is therefore one of the important ability assessment items. How to evaluate the reaction inhibition capacity of the high-speed rail dispatcher and quantitatively display the reaction inhibition capacity of the high-speed rail dispatcher becomes a problem which needs to be solved at present.
Disclosure of Invention
In view of this, the present invention provides a method and a system for testing the response inhibition capability of a high-speed rail dispatcher, so as to solve the problem that the response inhibition capability of the high-speed rail dispatcher cannot be evaluated and quantitatively displayed.
In order to achieve the purpose, the invention provides the following technical scheme:
according to a first aspect of the present invention, a method for testing the response inhibition capability of a high-speed rail dispatcher is provided, the method comprising:
displaying a test question through a display module, wherein the test question is a Go/Nogo test;
acquiring electroencephalogram data of a high-speed rail dispatcher when answering the test questions through an electroencephalogram acquisition module;
recording the answer result corresponding to the test question through the recording module;
if the test question is a Go test, recording the answering time length corresponding to the test question through the recording module;
and determining the test result of the response inhibition capability of the high-speed rail dispatcher based on the electroencephalogram data corresponding to each test question in all the test questions, the response result and the response duration corresponding to each Go test in all the test questions.
According to a second aspect of the present invention, a test system for response inhibition capability of a high-speed rail dispatcher is provided, which comprises:
the first display module is used for displaying the test questions through the display module, and the test questions are Go/Nogo tests;
the electroencephalogram data acquisition module is used for acquiring electroencephalogram data of a high-speed rail dispatcher when answering the test questions;
the result recording module is used for recording the answer result corresponding to the test question through the recording module;
the duration recording module is used for recording the answering duration corresponding to the test question through the recording module if the test question is a Go test;
and the test result determining module is used for determining the test result of the response inhibition capability of the high-speed rail dispatcher based on the electroencephalogram data corresponding to each test question in all the test questions, the response result and the response duration corresponding to each Go test in all the test questions.
According to the technical scheme, the terminal device displays the test questions through the display module, the electroencephalogram data of the high-speed rail dispatcher in answering the test questions are collected through the electroencephalogram collection module, the answering results corresponding to the test questions are recorded through the recording module, if the test questions are Go tests, the answering duration corresponding to the test questions is recorded through the recording module, the terminal device determines the test results of the reaction inhibition capacity of the high-speed rail dispatcher based on the electroencephalogram data and the answering results corresponding to each test question in all the test questions and the answering duration corresponding to each Go test in all the test questions, the objective and comprehensive evaluation of the reaction inhibition capacity of the high-speed rail dispatcher is achieved, the quantitative display of the reaction inhibition capacity of the high-speed rail dispatcher can be achieved, and reference bases are provided for the selection and the performance evaluation of the high-speed rail dispatcher.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the invention and together with the description, serve to explain the principles of the invention. In the drawings, like reference numerals are used to indicate like elements. The drawings in the following description are directed to some, but not all embodiments of the invention. For a person skilled in the art, other figures can be derived from these figures without inventive effort.
FIG. 1 is a flow chart that schematically illustrates a method for testing the responsiveness to high-speed rail dispatchers;
fig. 2 is a block diagram illustrating an exemplary configuration of a test system for high-speed rail dispatcher reaction inhibition capability.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. It should be noted that the embodiments and features of the embodiments in the present application may be arbitrarily combined with each other without conflict.
Fig. 1 is a flowchart schematically illustrating a method for testing the responsiveness of a high-speed rail dispatcher, and as shown in fig. 1, the method for testing the responsiveness of the high-speed rail dispatcher comprises the following steps:
step 101: and displaying the test questions through a display module, wherein the test questions are Go/Nogo tests.
Step 102: and acquiring electroencephalogram data of the high-speed rail dispatcher in answering the test questions through an electroencephalogram acquisition module.
Step 103: and recording the answering results corresponding to the test questions through the recording module.
Step 104: if the test question is the Go test, the answering time length corresponding to the test question is recorded through the recording module.
Step 105: and determining the test result of the response inhibition capability of the high-speed rail dispatcher based on the electroencephalogram data corresponding to each test question in all the test questions, the answering result and the answering duration corresponding to each Go test in all the test questions.
In step 101, in an embodiment, the present invention may be applied to a terminal device such as a computer, a smart phone, a tablet computer, and a smart watch, and the display module may be a display interface of the terminal device. The test question may be a Go/Nogo test, specifically, the test is, for example: when a green point corresponding to the Go test appears in the display interface, a high-speed rail dispatcher needs to press a button; when a red dot corresponding to the Nogo test appears in the display interface, the high-speed rail dispatcher does not need to press a button. The red and green dots occur randomly, the interval between occurrences may be 500ms, and the total test duration may be 12 minutes. It will be understood by those skilled in the art that the above test questions are exemplary only and are not intended to limit the present invention.
In step 102, in an embodiment, the electroencephalogram acquisition module may be a device capable of acquiring electroencephalogram data, such as an electroencephalogram cap externally connected to the terminal device. Specifically, the content of the sampling process of the electroencephalogram acquisition module can refer to the related description of the prior art, and is not described herein again.
In step 103, in an embodiment, the terminal device records the answer result corresponding to the test question through the recording module. When a green point appears in the display interface, a high-speed rail dispatcher presses a button to indicate correctness, and the button is not pressed to indicate 'report missing'; when a red dot appears in the display interface, the high-speed rail dispatcher presses a button to indicate false alarm, and the button is not pressed to indicate correct.
In step 104, in an embodiment, for a situation that a green point corresponding to the Go test appears on the display interface, a starting time point of the answering time length is a time point when the test question starts to be displayed on the display interface, and an ending time point of the answering time length is a time point when the terminal device receives a button pressed by a high-speed rail dispatcher.
In step 105, in an embodiment, the test result of the response suppression capability of the high-speed rail dispatcher is determined based on the electroencephalogram data corresponding to each of all the test questions, the response result and the response duration corresponding to each Go test in all the test questions.
Specifically, the step 105 may include:
determining the false alarm rate corresponding to the Go test in all the test questions and the false alarm rate corresponding to the Nogo test in all the test questions based on the answering result corresponding to each test question in all the test questions;
determining the average answering time length based on the answering time length corresponding to each Go test in all the test questions;
determining a first Event Related Potential (ERP) waveform corresponding to a Go test in all the test questions, a second ERP waveform corresponding to a Nogo test in all the test questions and a third ERP waveform corresponding to the Nogo test in all the test questions based on electroencephalogram data corresponding to each test question in all the test questions;
determining a first amplitude value and a first latency value of the first ERP waveform corresponding to the P3 component;
determining a second amplitude value and a second latency value of the second ERP waveform corresponding to the N2 component;
determining a third wave amplitude and a third latency value of the third ERP waveform corresponding to the P3 component;
and determining a test result based on the false alarm rate, the average answering time, the first wave amplitude value, the first latency value, the second wave amplitude value, the second latency value, the third wave amplitude value and the third latency value.
And combining the test questions in the step 101, wherein the rate of missing report is as follows: when a green point corresponding to the Go test appears, the terminal equipment does not receive a button operation instruction of a high-speed rail dispatcher; the false alarm rate is: when the red point corresponding to the NoGo test appears, the terminal equipment receives a button operation instruction of a high-speed rail dispatcher. The average answering time is the average time when the high-speed rail dispatcher answers the Go test, and the time for answering does not need to be recorded in the NoGo test. Determining a first ERP waveform, a second ERP waveform and a third ERP waveform for the terminal device, taking the determining process of the first ERP waveform as an example: and the terminal equipment carries out interference elimination processing on the electroencephalogram data corresponding to the Go test in all the test questions. The interference removing processing includes removing electro-oculogram interference, removing high-frequency information interference, and the like, for example, the electro-oculogram interference in the electroencephalogram data can be removed by software installed on the terminal device, and the high-frequency information interference can be removed by setting 30Hz low-pass filtering. After interference removal processing is carried out on the electroencephalogram data, the terminal equipment takes the showing time of each Go test on the showing interface as a reference 0 point, analyzes and extracts the data waveform within the preset duration of 800ms (-200ms to 600ms), carries out baseline correction with 200ms before showing of the test questions, and takes the data with the amplitude greater than +/-100 μ v within the duration of 800ms as artifact removal, wherein the artifact is large invalid electroencephalogram data generated when a high-speed railway dispatcher kneads eyes and the body swings. And finally, determining a first ERP waveform by superposing the waveform corresponding to each Go test in all the test questions. It will be understood by those skilled in the art that the above-mentioned determining process corresponding to the first ERP waveform is an exemplary illustration and is not intended to limit the present invention. Similarly, the terminal device determines the second ERP waveform and the third ERP waveform by superimposing the waveform corresponding to each NoGo test in all the test questions, and the specific process is similar to the process of determining the first ERP waveform, which is not described herein again. Determining a corresponding first amplitude value x of the P3 component in the first ERP waveform1And a first latency value x2Determining a corresponding second amplitude value x of the N2 component in the second ERP waveform3And a second latency value x4Determining a third wave amplitude x corresponding to the P3 component in the third ERP waveform5And a third latency value x6。
Specifically, determining the test result based on the false alarm rate, the average response time, the first amplitude value, the first latency value, the second amplitude value, the second latency value, the third amplitude value and the third latency value includes:
determining a result cluster based on the false alarm rate, the average answering time, the first wave amplitude value, the first latency value, the second wave amplitude value, the second latency value, the third wave amplitude value and the third latency value;
and classifying the result cluster based on a preset classifier, and determining a test result.
Wherein, the false alarm rate is x7The rate of missing reports is x8Average response time of x9For example, according to the first amplitude value x1First latency value x2Second amplitude x3Second latency value x4Third wave amplitude x5And a third latency value x6False alarm rate x7Rate of missing reports x8Average response time x9Determining the first wave amplitude value x according to the importance degree in the test of the response inhibition capability of the high-speed rail dispatcher1First latency value x2Second amplitude x3Second latency value x4Third wave amplitude x5And a third latency value x6False alarm rate x7Rate of missing reports x8Average response time x9Respectively corresponding first preset weight w1A second predetermined weight w2A third predetermined weight w3Fourth predetermined weight w4A fifth predetermined weight w5Sixth preset weight w6A seventh preset weight w7The eighth preset weight w8Ninth predetermined weight w9. By the formula
A cluster of results is determined. Where h ω, b is the cluster of results, f is the transfer function, xi includes a first amplitude x1First latency value x2Second amplitude x3Second latency value x4Third wave amplitude x5And a third latency value x6False alarm rate x7Rate of missing reports x8Average response time x9(ii) a ω i includes a first preset weight w1A second predetermined weight w2A third predetermined weight w3Fourth predetermined weight w4A fifth predetermined weight w5Sixth preset weight w6A seventh preset weight w7And b is the threshold of the hidden layer.
The preset classifier comprises a Logistic classifier, a softmax classifier and other classifiers. Taking the preset classifier as the Softmax classifier as an example, the terminal device classifies the result cluster by the Softmax classifier to obtain a classification result y (i) belonging to {1,2,3,4 }. According to the preset corresponding relation:
when y (i) is 1, the test result is 90-100 points;
when y (i) is 2, the test result is 80-90 points;
when y (i) is 3, the test result is 70-80 points;
when y (i) is 4, the test result is 60-70 points.
A final test result may be obtained based on the classification result.
In the embodiment of the invention, the terminal equipment displays the test questions through the display module, the electroencephalogram data of the high-speed rail dispatcher in answering the test questions are acquired through the electroencephalogram acquisition module, the answering results of the high-speed rail dispatcher in answering the test questions are recorded through the recording module, if the test questions are Go tests, the answering duration corresponding to the test questions are recorded through the recording module, the terminal equipment determines the test result of the reaction inhibition capacity of the high-speed rail dispatcher based on the electroencephalogram data and the answering result corresponding to each test question in all the test questions and the answering duration corresponding to each Go test in all the test questions, the objective and comprehensive evaluation of the reaction inhibition capacity of the high-speed rail dispatcher is realized, the quantitative display of the reaction inhibition capacity of the high-speed rail dispatcher can be realized, and a reference basis is provided for the selection and the performance evaluation of the high-speed rail dispatcher.
In addition, the method for testing the response inhibition capability of the high-speed rail dispatcher, provided by the invention, further comprises the following steps:
recording the time point when the test questions are displayed through the display module;
and if the time difference between the current time point and the time point is equal to the preset time length and the answer result is not received, displaying the next test question through the display module.
Wherein, the preset duration is the duration of switching the test questions. Specifically, in combination with step 101, for example, the time point when the terminal device displays the test questions through the display module is 00:00, and if the time difference between the current time point and 00:00 is equal to the preset time duration of 500ms, the terminal device displays the next test question through the display module. The difficulty degree of the whole test question can be adjusted by changing the preset duration, so that a user can flexibly adjust the difficulty degree of the test question according to the self requirement.
Fig. 2 is a block diagram schematically illustrating a structure of a system for testing the response inhibition capability of a high-speed rail dispatcher, which is a system corresponding to the embodiment of the method for testing the response inhibition capability of each high-speed rail dispatcher, and the explanation of the embodiment of the method for testing the response inhibition capability of each high-speed rail dispatcher is applicable to this embodiment. As shown in fig. 2, the test system includes:
the first display module 21 is used for displaying the test questions through the display module, wherein the test questions are Go/Nogo tests;
the electroencephalogram data acquisition module 22 is used for acquiring electroencephalogram data of the high-speed rail dispatcher when answering the test questions;
the result recording module 23 is used for recording the answering result corresponding to the test question through the recording module;
the duration recording module 24 is configured to record, through the recording module, the answer duration corresponding to the test question if the test question is a Go test;
and the test result determining module 25 is configured to determine a test result of the response inhibition capability of the high-speed rail dispatcher based on the electroencephalogram data and the response result corresponding to each test question in all the test questions and the response duration corresponding to each Go test in all the test questions.
Preferably, the test result determining module includes:
a first determining sub-module (not shown in the figure) for determining a false alarm rate corresponding to Go test in all the test questions and a false alarm rate corresponding to Nogo test in all the test questions based on an answer result corresponding to each test question in all the test questions;
a second determining submodule (not shown in the figure) for determining an average answering time length based on the answering time length corresponding to each Go test in all the test questions;
a third determining sub-module (not shown in the figure), configured to determine, based on the electroencephalogram data corresponding to each of all the test questions, a first ERP waveform corresponding to a Go test in all the test questions, a second ERP waveform corresponding to a NoGo test in all the test questions, and a third ERP waveform corresponding to a NoGo test in all the test questions;
a fourth determining submodule (not shown in the figure) for determining a first amplitude value and a first latency value of the P3 component corresponding to the first ERP waveform;
a fifth determining submodule (not shown in the figure) for determining a second amplitude value and a second latency value of the second ERP waveform corresponding to the N2 component;
a sixth determining submodule, configured to determine a third wave amplitude and a third latency value of the P3 component corresponding to the third ERP waveform;
a seventh determining sub-module (not shown in the figure) configured to determine a test result based on the false alarm rate, the average response time, the first wave amplitude value, the first latency value, the second wave amplitude value, the second latency value, the third wave amplitude value, and the third latency value.
Preferably, the seventh determination sub-module includes:
a result cluster determining unit (not shown in the figure) configured to determine a result cluster based on the false alarm rate, the average response time, the first wave amplitude value, the first latency value, the second wave amplitude value, the second latency value, the third wave amplitude value, and the third latency value;
and a test result determining unit (not shown in the figure) for classifying the result clusters based on a preset classifier and determining a test result.
Preferably, the test system may further include:
the time point recording module 26 is used for recording the time point when the test questions are displayed through the display module;
and a second display module 27, configured to display a next test question through the display module if the time difference between the current time point and the time point is equal to the preset time length and the answer result is not received.
The working process of the test system for the response inhibition capability of the high-speed rail dispatcher, which is provided by the invention, is briefly described as follows: the terminal device displays the test questions through the display module, the electroencephalogram acquisition module acquires electroencephalogram data of the high-speed rail dispatcher when answering the test questions, the recording module records answering results corresponding to the test questions, if the test questions are Go tests, the recording module records answering duration corresponding to the test questions, and the terminal device determines the test results of the reaction inhibition capability of the high-speed rail dispatcher based on the electroencephalogram data corresponding to each test question in all the test questions, the answering results and the answering duration corresponding to each Go test in all the test questions.
The embodiment of the invention realizes the objective and comprehensive evaluation of the reaction inhibition capability of the high-speed rail dispatcher, can quantitatively display the reaction inhibition capability of the high-speed rail dispatcher, and provides a reference basis for the selection and performance assessment of the high-speed rail dispatcher.
The above-described aspects may be implemented individually or in various combinations, and such variations are within the scope of the present invention.
Finally, it should be noted that: the above examples are only for illustrating the technical solutions of the present invention, and are not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (4)
1. A method for testing the response inhibition ability of a high-speed rail dispatcher, which comprises the following steps:
displaying a test question through a display module, wherein the test question is a Go/Nogo test;
acquiring electroencephalogram data of a high-speed rail dispatcher when answering the test questions through an electroencephalogram acquisition module;
recording the answer result corresponding to the test question through a result recording module;
if the test question is a Go test, recording the answering time length corresponding to the test question through a time length recording module;
determining a false alarm rate corresponding to Go test in all the test questions and a false alarm rate corresponding to Nogo test in all the test questions based on the answering result corresponding to each test question in all the test questions;
determining the average answering time length based on the answering time length corresponding to each Go test in all the test questions;
determining a first ERP waveform corresponding to a Go test in all the test questions, a second ERP waveform corresponding to a Nogo test in all the test questions and a third ERP waveform corresponding to the Nogo test in all the test questions based on the electroencephalogram data corresponding to each test question in all the test questions;
determining a first amplitude value and a first latency value of the first ERP waveform corresponding to the P3 component;
determining a second amplitude value and a second latency value of the second ERP waveform corresponding to the N2 component;
determining a third wave amplitude and a third latency value of the third ERP waveform corresponding to the P3 component;
determining a test result of the response inhibition capability of the high-speed railway dispatcher based on the false alarm rate, the average response time, the first wave amplitude value, the first latency value, the second wave amplitude value, the second latency value, the third wave amplitude value and the third latency value, and specifically comprising the following steps of:
determining a result cluster based on the false positive rate, the false negative rate, the average response time, the first wave amplitude, the first latency value, the second wave amplitude, the second latency value, the third wave amplitude, and the third latency value by the following formula:
wherein h isω,bFor the result cluster, f is the transfer function, xiIncluding a first amplitude x1First latency value x2Second amplitude x3Second latency value x4Third wave amplitude x5Third latency value x6False alarm rate x7Missing report rate x8And average response time x9；ωiIncluding a first preset weight ω1A second predetermined weight ω2A third predetermined weight ω3Fourth predetermined weight ω4A fifth predetermined weight ω5Sixth predetermined weight ω6A seventh predetermined weight ω7The eighth preset weight ω8And a ninth preset weight ω9And b is the threshold of the hidden layer;
classifying the result cluster based on a preset classifier to obtain a classification result y (i) epsilon {1,2,3,4 }; obtaining a test result of the response inhibition capability of the high-speed rail dispatcher based on the classification result through a preset corresponding relation;
wherein, the preset corresponding relation is as follows:
when y (i) =1, the test result is 90-100 points;
when y (i) =2, the test result is 80-90 minutes;
when y (i) =3, the test result is 70-80 minutes;
when y (i) =4, the test result is 60-70 points.
2. The method of claim 1, further comprising:
recording the time point when the test questions are displayed through the display module;
and if the time difference between the current time point and the time point when the test question is displayed is equal to the preset time length and the answer result is not received, displaying the next test question through the display module.
3. A system for testing the responsiveness of a high-speed rail dispatcher for inhibition of responsiveness, the system comprising:
the display module is used for displaying a test question, wherein the test question is a Go/Nogo test;
the electroencephalogram acquisition module is used for acquiring electroencephalogram data when a high-speed rail dispatcher answers the test questions;
the result recording module is used for recording the answering result corresponding to the test question;
the time length recording module is used for recording the answering time length corresponding to the test question if the test question is a Go test;
the first determining submodule is used for determining the false alarm rate corresponding to the Go test in all the test questions and the false alarm rate corresponding to the Nogo test in all the test questions based on the answering result corresponding to each test question in all the test questions;
the second determining submodule is used for determining the average answering time length based on the answering time length corresponding to each Go test in all the test questions;
the third determining submodule is used for determining a first ERP waveform corresponding to a Go test in all the test questions, a second ERP waveform corresponding to a Nogo test in all the test questions and a third ERP waveform corresponding to the Nogo test in all the test questions based on electroencephalogram data corresponding to each test question in all the test questions;
a fourth determining submodule, configured to determine a first amplitude value and a first latency value of the P3 component corresponding to the first ERP waveform;
a fifth determining submodule, configured to determine a second amplitude value and a second latency value of the N2 component corresponding to the second ERP waveform;
a sixth determining submodule, configured to determine a third wave amplitude and a third latency value of the P3 component corresponding to the third ERP waveform;
a seventh determining submodule, configured to determine a test result of the response suppression capability of the high-speed railway dispatcher based on the false alarm rate, the average response time, the first wave amplitude value, the first latency value, the second wave amplitude value, the second latency value, the third wave amplitude value, and the third latency value;
wherein the seventh determination sub-module includes:
a result cluster determining unit, configured to determine a result cluster based on the false alarm rate, the average response time, the first wave amplitude value, the first latency value, the second wave amplitude value, the second latency value, the third wave amplitude value, and the third latency value, and according to the following formula:
wherein h isω,bFor the result cluster, f is the transfer function, xiIncluding a first amplitude x1First latency value x2Second amplitude x3Second latency value x4Third wave amplitude x5Third latency value x6False alarm rate x7Missing report rate x8And average response time x9；ωiIncluding a first preset weight ω1A second predetermined weight ω2A third predetermined weight ω3Fourth predetermined weight ω4A fifth predetermined weight ω5Sixth predetermined weight ω6A seventh predetermined weight ω7The eighth preset weight ω8And a ninth preset weight ω9And b is the threshold of the hidden layer;
the test result determining unit is used for classifying the result cluster based on a preset classifier to obtain a classification result y (i) belonging to {1,2,3,4 }; obtaining a test result of the response inhibition capability of the high-speed rail dispatcher based on the classification result through a preset corresponding relation;
wherein, the preset corresponding relation is as follows:
when y (i) =1, the test result is 90-100 points;
when y (i) =2, the test result is 80-90 minutes;
when y (i) =3, the test result is 70-80 minutes;
when y (i) =4, the test result is 60-70 points.
4. The system of claim 3, further comprising:
the time point recording module is used for recording the time point when the test questions are displayed through the display module;
and if the time difference between the current time point and the time point when the test question is displayed is equal to the preset time length and the answer result is not received, displaying the next test question through the display module.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102906752A (en) * | 2010-01-18 | 2013-01-30 | 艾欧敏达有限公司 | Method and system for weighted analysis of neurophysiological data |
| CN105938562A (en) * | 2016-04-13 | 2016-09-14 | 中国科学院信息工程研究所 | Automatic network application fingerprint extraction method and system |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050273017A1 (en) * | 2004-03-26 | 2005-12-08 | Evian Gordon | Collective brain measurement system and method |
| CN106913351A (en) * | 2015-12-28 | 2017-07-04 | 西南交通大学 | A kind of recognition methods of Mental Workload level |
-
2017
- 2017-08-30 CN CN201710765358.7A patent/CN107550500B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102906752A (en) * | 2010-01-18 | 2013-01-30 | 艾欧敏达有限公司 | Method and system for weighted analysis of neurophysiological data |
| CN105938562A (en) * | 2016-04-13 | 2016-09-14 | 中国科学院信息工程研究所 | Automatic network application fingerprint extraction method and system |
Non-Patent Citations (1)
| Title |
|---|
| Mental Fatigue and Impaired Attention: An Event-Related Potential Study;Xiaoli Fan等;《Journal of Medical Imaging and Health Information》;20170430;第2卷(第7期);第378-387页 * |
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