CN114121220A - Hyperactivity intervention training method and device, terminal equipment and readable storage medium - Google Patents
Hyperactivity intervention training method and device, terminal equipment and readable storage medium Download PDFInfo
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Abstract
The invention discloses a hyperactivity intervention training method, which is applied to terminal equipment, wherein the terminal equipment comprises a wearable brain wave recorder and a training terminal, and the hyperactivity intervention training method comprises the following steps: acquiring brain waves of the brain prefrontal lobe through the wearable brain wave recorder, and determining a brain wave expression score according to the brain waves; acquiring a cognitive task performance score of the training terminal; and adjusting the training scheme of the training terminal according to the brain wave performance score and the cognitive task performance score. The invention also discloses a hyperactivity intervention training device, a terminal device and a computer readable storage medium. The invention improves the scientificity, accuracy and intelligence of ADHD (Attention Deficit Hyperactivity Disorder) treatment.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method and an apparatus for training attention deficit hyperactivity disorder intervention, a terminal device, and a computer-readable storage medium.
Background
ADHD (Attention deficiency/Hyperactivity Disorder) is a common pediatric neurodevelopmental disease, which has the defects of difficulty in Attention, excessive activity, and easiness in impulsion, which are not consistent with the actual age, thereby having great influence on families and society.
At present, the treatment for ADHD is mostly carried out through medicines or doctor guidance, ADHD patients need to bear larger treatment cost for medicine intervention and doctor behavior treatment, and the treatment experience is not good for ADHD patients, so that the treatment enthusiasm is not high, and the treatment effect is poor.
Disclosure of Invention
The invention mainly aims to provide a method, a device, a terminal device and a computer readable storage medium for hyperactivity intervention training, and aims to improve the scientificity, accuracy and intelligence of ADHD treatment.
In order to achieve the above object, the present invention provides a training method for hyperactivity intervention, which is applied to a terminal device, wherein the terminal device comprises a wearable brain wave recorder and a training terminal, and the training method for hyperactivity intervention comprises the following steps:
acquiring brain waves of the brain prefrontal lobe through the wearable brain wave recorder, and determining a brain wave expression score according to the brain waves;
acquiring a cognitive task performance score of the training terminal;
and adjusting the training scheme of the training terminal according to the brain wave performance score and the cognitive task performance score.
Optionally, the determining of the brain wave performance score from the brain waves includes:
preprocessing the brain waves to obtain brain wave data;
analyzing the electroencephalogram data to obtain a concentration numerical value;
and determining a brain wave performance score according to the concentration numerical value.
Optionally, the training terminal includes a multi-task cognitive training application, and the step of obtaining the cognitive task performance score of the training terminal includes:
acquiring the multitask accuracy and/or the multitask reaction speed of the multitask cognitive training application;
and determining a cognitive task performance score according to the multitask accuracy and/or the multitask reaction speed.
Optionally, the training terminal further includes a single task cognitive training application, and the step of determining a cognitive task performance score according to the multitask accuracy and/or the multitask response speed includes:
acquiring the single task accuracy and/or the single task reaction speed of the single task cognitive training application;
and comparing and analyzing the multitask accuracy and/or the multitask reaction speed with the single task accuracy and/or the single task reaction speed to determine a cognitive task performance score.
Optionally, the training terminal includes a cognitive training application, and the step of adjusting the training scheme of the training terminal according to the brain wave performance score and the cognitive task performance score includes:
standardizing the brain wave performance score and the cognitive task performance score;
fusing the brain wave expression score after the standardization processing and the cognitive task expression score after the standardization processing to obtain a comprehensive expression score;
and adjusting the training difficulty of the cognitive training application according to the comprehensive performance score.
Optionally, after the step of adjusting the training difficulty of the cognitive training application according to the composite performance score, the method further includes:
detecting a task success rate of the cognitive training application;
and if the task success rate is not in a preset interval, adjusting the training difficulty of the cognitive training application until the task success rate is in the preset interval.
Optionally, the training terminal includes a gaming cognitive training application, the gaming cognitive training application includes a plurality of game tasks, and the plurality of game tasks are performed simultaneously.
In addition, to achieve the above object, the present invention provides a hyperactivity intervention training device including:
the electric wave acquisition module is used for acquiring brain waves of the brain prefrontal lobe through a wearable brain wave recorder and determining a brain wave expression score according to the brain waves;
the score acquisition module is used for acquiring the cognitive task performance score of the training terminal;
and the training adjusting module is used for adjusting the training scheme of the training terminal according to the brain wave performance score and the cognitive task performance score.
In addition, to achieve the above object, the present invention also provides a terminal device, including: the system comprises a memory, a processor and a hyperactivity intervention training program stored on the memory and operable on the processor, wherein the hyperactivity intervention training program when executed by the processor implements the steps of the hyperactivity intervention training method as described above.
In addition, to achieve the above object, the present invention further provides a computer readable storage medium, which stores thereon a hyperactivity intervention training program, and when the computer readable storage medium is executed by a processor, the computer readable storage medium implements the steps of the hyperactivity intervention training method as described above.
The invention provides a method and a device for intervention training of hyperactivity, terminal equipment and a computer readable storage medium, wherein the method for intervention training of hyperactivity is applied to the terminal equipment, the terminal equipment comprises a wearable brain wave recorder and a training terminal, brain waves of a brain prefrontal lobe are obtained through the wearable brain wave recorder, and a brain wave expression score is determined according to the brain waves; acquiring a cognitive task performance score of a training terminal; and adjusting the training scheme of the training terminal according to the brain wave performance score and the cognitive task performance score. Through the mode, the brain wave performance score is obtained by detecting the brain waves of the forehead of the brain, the cognitive task performance score of the ADHD patient on the training terminal is obtained, and therefore the training scheme of the training terminal is adjusted based on the brain wave performance score and the cognitive task performance, so that the ADHD patient can be treated through the terminal equipment. Meanwhile, a more scientific, accurate and intelligent ADHD treatment scheme can be provided by a digital treatment mode of the terminal equipment, namely treatment is carried out on the basis of brain wave performance scores and cognitive task performance.
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Fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of the training method for attention deficit hyperactivity disorder of the present invention;
FIG. 3 is a schematic flow chart of a training method for attention deficit hyperactivity disorder according to a second embodiment of the present invention;
FIG. 4 is a schematic flow chart of a training method for attention deficit hyperactivity disorder according to a fourth embodiment of the present invention;
fig. 5 is a functional block diagram of the first embodiment of the hyperactivity intervention training device of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention.
The terminal of the embodiment of the invention is a training device for intervention of hyperactivity, and the training device for intervention of hyperactivity can be a mobile phone, a tablet personal computer, a brain wave recorder, a Personal Computer (PC), a microcomputer, a notebook computer, a server and other terminal devices with processing functions.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU (Central Processing Unit), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, memory 1005, which is one type of computer storage medium, may include an operating system, a network communication module, a user interface module, and a hyperactivity intervention training program.
In the terminal shown in fig. 1, where the terminal device further includes a wearable electroencephalograph and training terminal, the processor 1001 may be configured to invoke a hyperkinetic intervention training program stored in the memory 1005, and perform the following operations:
acquiring brain waves of the brain prefrontal lobe through the wearable brain wave recorder, and determining a brain wave expression score according to the brain waves;
acquiring a cognitive task performance score of the training terminal;
and adjusting the training scheme of the training terminal according to the brain wave performance score and the cognitive task performance score.
Further, the processor 1001 may be configured to invoke a hyperactivity intervention training program stored in the memory 1005, and further perform the following operations:
preprocessing the brain waves to obtain brain wave data;
analyzing the electroencephalogram data to obtain a concentration numerical value;
and determining a brain wave performance score according to the concentration numerical value.
Further, the training terminal includes a multitask cognitive training application, and the processor 1001 may be configured to invoke a hyperkinetic intervention training program stored in the memory 1005, and further perform the following operations:
acquiring the multitask accuracy and/or the multitask reaction speed of the multitask cognitive training application;
and determining a cognitive task performance score according to the multitask accuracy and/or the multitask reaction speed.
Further, a single-task cognitive training application is further included in the training terminal, and the processor 1001 may be configured to invoke a hyperactivity intervention training program stored in the memory 1005, and further perform the following operations:
acquiring the single task accuracy and/or the single task reaction speed of the single task cognitive training application;
and comparing and analyzing the multitask accuracy and/or the multitask reaction speed with the single task accuracy and/or the single task reaction speed to determine a cognitive task performance score.
Further, the training terminal includes a cognitive training application, and the processor 1001 may be configured to call a hyperkinetic intervention training program stored in the memory 1005, and further perform the following operations:
standardizing the brain wave performance score and the cognitive task performance score;
fusing the brain wave expression score after the standardization processing and the cognitive task expression score after the standardization processing to obtain a comprehensive expression score;
and adjusting the training difficulty of the cognitive training application according to the comprehensive performance score.
Further, the processor 1001 may be configured to invoke a hyperactivity intervention training program stored in the memory 1005, and further perform the following operations:
detecting a task success rate of the cognitive training application;
and if the task success rate is not in a preset interval, adjusting the training difficulty of the cognitive training application until the task success rate is in the preset interval.
Further, the training terminal comprises a game-oriented cognitive training application, the game-oriented cognitive training application comprises a plurality of game tasks, and the game tasks are performed simultaneously.
Based on the hardware structure, the invention provides various embodiments of the hyperactivity intervention training method.
The invention provides a hyperactivity intervention training method.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the attention training method of hyperactivity disorder of the present invention.
In this embodiment, the training method for intervention of hyperactivity is applied to a terminal device, and includes the following steps S10-S30:
step S10, acquiring brain waves of the brain prefrontal lobes through the wearable brain wave recorder, and determining brain wave expression scores according to the brain waves;
in this embodiment, the terminal device includes a wearable brain wave recorder for detecting brain waves of the brain prefrontal lobe and analyzing the brain waves to obtain specific brain wave signals, and a training terminal, which may be a terminal with a training task such as a mobile phone, a tablet computer, a PC, and a notebook computer, and is used for providing the training task for the ADHD patient to train.
Firstly, the brain waves of the brain prefrontal lobe are acquired through a wearable brain wave recorder, and a brain wave expression score is determined according to the brain waves. The prefrontal lobe of the brain is used for receiving and integrating various information from the inside and outside of the body, which is transmitted by all parts of the brain, and can organize efferent impulses in time. That is, active, directional, purposeful, logical, and creative complex mental activities can be performed through the prefrontal lobe. Therefore, the brain waves of the prefrontal lobe of the brain are detected, and the indicators of the brain such as attention can be analyzed.
The wearable brain wave recorder collects brain waves of the forehead lobe according to a preset frequency, and the preset frequency can be set according to actual needs, for example, 160 times per second, 150 times per second, and the like, and is not limited herein.
The brain waves of the prefrontal lobe can be used for analyzing the memory function, judgment function, analysis function, thinking function, operation function, and the like of the brain. The brain wave is the result of the sum of the post-synaptic potentials of a large number of neurons in the cerebral cortex. Accordingly, the brain wave expression score may be determined by the brain waves.
In one embodiment, the brain wave expression score is a concentration score, i.e., the attention of the brain is analyzed by brain waves, and the brain wave expression score is determined based on a preset rule. The preset rules are set according to actual conditions, and are not described in detail herein. In other embodiments, the brain wave performance score may also consider more performance factors, such as memory, judgment, thinking, analysis, and the like, and is not limited herein.
Step S20, acquiring cognitive task performance scores of the training terminal;
the cognitive task performance score on the training terminal of the terminal device is acquired while the brain wave performance score is acquired. The cognitive task performance score is a performance score obtained by an ADHD patient for a training task in a training terminal, and specifically, the performance score is judged according to a preset judgment standard, which is set according to an actual training task, for example, each game has a unique judgment standard, which is not described herein any more.
The cognitive task performance score of the training terminal is obtained according to a preset frequency, and the preset frequency can be set according to actual needs, for example, once per second, once every two seconds, and the like, which is not limited herein.
In one embodiment, cognitive control is defined by a set of neural processes that allow humans to interact with complex environments in a target-oriented manner. While humans often challenge these control processes when attempting to accomplish multiple goals (multitasking). Therefore, the training terminal comprises the multi-task cognitive training application so as to more accurately acquire the attention and the like of the ADHD patient, and the subsequent interventional training can achieve a better treatment effect. Specifically, the accuracy and the reaction speed of the multi-task cognitive training application are obtained, and the cognitive task performance score is determined according to the accuracy and the reaction speed. The multi-task training application can be applications such as driving obstacle avoidance games, good gift acquisition games, work memory tasks and the like, and is not limited herein. In other embodiments, other evaluation indicators of the multitask cognitive training application may also be obtained, which is not limited herein.
Step S30, adjusting a training scheme of the training terminal according to the brain wave performance score and the cognitive task performance score.
And finally, adjusting the training scheme of the training terminal based on the brain wave performance score and the cognitive task performance score. The training scheme is a training scheme of a cognitive training task and can comprise training difficulty, training time and the like.
In one embodiment, since the brain wave performance score and the cognitive task performance score are different in nature, usually having different dimensions and magnitude, when the levels of the performance scores are very different, if the original performance score is directly used for analysis, it will result in that the training regimen is not accurate enough to adjust afterwards. Therefore, in order to ensure the reliability of the result, it is necessary to perform a normalization process on each expression score, and the normalization process may be implemented by a data normalization algorithm, for example, an extreme value method, a standard deviation method, a three-fold line method, a semi-normal distribution method, and the like, which will not be described herein again. Then, the brain wave performance score and the cognitive task performance score based on the normalization processing, that is, the comprehensive performance score is obtained for different indexes. Finally, the training difficulty of the cognitive training application is adjusted based on the composite performance score, specifically, the higher the composite performance score is, the training difficulty also increases with the performance score, and correspondingly, the lower the composite performance score is, the training difficulty also decreases with the performance score.
In another embodiment, the brain wave performance score may be compared with a preset brain wave performance mapping table, the cognitive task performance score may be compared with a preset cognitive task performance mapping table, and then, based on the comparison result, the training scheme of the training terminal may be adjusted. Specifically, the comparison results may be fused, and then the training scheme may be adjusted based on the fused comparison results, or the training schemes may be adjusted based on the comparison results, respectively.
It should be noted that, as shown by a lot of experiments and researches, the Attention performance of ADHD (Attention Deficit Hyperactivity Disorder) can be improved by using the terminal device 25 minutes a day, 5 days a week, and continuously for four weeks. Of course, the course of treatment and the treatment plan may be determined by the doctor or the provider of the terminal device, and different courses of treatment and treatment plans may be defined for different ADHD patients, for example, a training plan of a training terminal, a training scenario, etc.
Further, the training terminal comprises a game-oriented cognitive training application, the game-oriented cognitive training application comprises a plurality of game tasks, and the game tasks are performed simultaneously.
In this embodiment, the training terminal includes a game-oriented cognitive training application, and the game-oriented cognitive training application is a game, such as a driving obstacle avoidance game, a good gift acquisition game, and the like, and the game is easier to improve the interest and enthusiasm of ADHD patients, so as to improve the treatment enthusiasm of the ADHD patients.
In addition, the game-oriented cognitive training application comprises a plurality of game tasks, for example, a driving task is used as a game task, and a good gift acquisition task is added to the driving task, namely, a plurality of game tasks are simultaneously performed, so that the multi-task cognitive training is realized. Of course, the gaming cognitive training application may include more or fewer game tasks, or other game tasks, and is not limited herein.
The embodiment of the invention provides a hyperkinetic intervention training method which is applied to terminal equipment, wherein the terminal equipment comprises a wearable brain wave recorder and a training terminal, the wearable brain wave recorder is used for acquiring brain waves of a brain prefrontal lobe and determining a brain wave expression score according to the brain waves; acquiring a cognitive task performance score of a training terminal; and adjusting the training scheme of the training terminal according to the brain wave performance score and the cognitive task performance score. Through the manner, the brain wave performance score is obtained by detecting the brain waves of the forehead of the brain, the cognitive task performance score of the ADHD patient on the training terminal is obtained, and therefore the training scheme of the training terminal is adjusted on the basis of the brain wave performance score and the cognitive task performance, so that the ADHD patient can be treated through the terminal equipment. Meanwhile, a more scientific, accurate and intelligent ADHD treatment scheme can be provided by a digital treatment mode of the terminal equipment, namely treatment is carried out on the basis of brain wave performance scores and cognitive task performance.
Further, based on the first embodiment, a second embodiment of the training method for attention deficit hyperactivity disorder of the present invention is provided.
Referring to fig. 3, fig. 3 is a flowchart illustrating a training method for attention deficit hyperactivity disorder according to a second embodiment of the present invention.
In the present embodiment, the determining of the brain wave expression score from the brain waves in the above step S10 includes:
step S11, preprocessing the brain waves to obtain brain wave data;
because the signals of the brain waves are very weak, the signals of the brain waves collected by the wearable brain wave recorder inevitably have large amplitude jitter possibly due to the shaking of the body or the shaking of facial muscles, that is, the signals of the brain waves are doped with a lot of noise, which will affect the determination of the expression score of the subsequent brain waves. Therefore, data preprocessing is required for brain waves to obtain brain wave data.
In an embodiment, the data preprocessing method is denoising, dimension reduction, and the like, which is not described herein in detail. In addition, since the brain wave data acquired by the wearable brain wave recorder is large, which is not beneficial to the subsequent analysis, the brain wave with a large data volume also needs to be preprocessed. In other embodiments, the data preprocessing may be set according to actual needs to meet various needs, and is not limited herein.
Step S12, analyzing the electroencephalogram data to obtain a concentration numerical value;
after data preprocessing, the electroencephalogram data can be analyzed to obtain concentration values. So as to judge the brain wave expression score in the following. The concentration numerical value indicates the concentration degree, and a higher concentration numerical value indicates a higher concentration degree.
It should be noted that, when electroencephalogram data is analyzed, neural networks and machine learning algorithms are used to perform data iteration, data collection, data labeling, data training, and the like on the electroencephalogram data.
In one embodiment, the electroencephalographic data is analyzed, the intensity of the electroencephalographic data can be analyzed, and the concentration value can then be determined from the intensity. In other embodiments, the indicators such as frequency, period, peak value, etc. of the electroencephalogram data may also be analyzed, which is not described herein in detail.
Step S13 is to determine a electroencephalogram expression score based on the concentration value.
Finally, the brain wave performance score is determined from the concentration value. Specifically, the brain wave expression score may be determined according to a mapping relationship between the concentration value and the brain wave expression score. The mapping relation is determined through a series of experiments and researches, and can accurately and fully reflect the mapping relation between the attention value and the brain wave performance score.
In this embodiment, the brain waves are subjected to data preprocessing to eliminate noise and large data volume, so that concentration analysis can be performed more accurately and more rapidly in the following process. Meanwhile, concentration analysis is carried out on the brain waves after data preprocessing, a concentration numerical value can be obtained, and therefore the brain wave expression score is accurately determined through the concentration numerical value, and the follow-up intervention training scheme of the hyperactivity can be adjusted based on the more accurate brain waves.
Further, based on the first embodiment, a third embodiment of the training method for attention deficit hyperactivity disorder of the present invention is provided.
In the present embodiment, the above step S20 includes the following steps a 21-a 22:
a21, acquiring the multitask accuracy and/or multitask reaction speed of the multitask cognitive training application;
step a22, determining cognitive task performance scores according to the multitask accuracy and/or the multitask response speed.
In this embodiment, the training terminal includes a multitask cognitive training application, and the multitask cognitive training application includes a plurality of independent tasks, so that the ADHD patient continuously switches attention based on the multitask cognitive training application, thereby achieving a therapeutic effect.
In one embodiment, the multi-tasking cognitive training application includes two independent cognitive training tasks. For the convenience of understanding, the driving obstacle avoidance task is used as a baseline task, and the interference task is added on the baseline task, so that the multi-task cognitive training is realized. The multi-task cognitive training is that a driving obstacle avoidance task and an interference task are carried out simultaneously, and the driving obstacle avoidance task and the interference task are independent tasks without correlation. In other embodiments, the multitask cognitive training application may also include more tasks, or other cognitive training tasks, and is not limited herein.
In one embodiment, the multitask accuracy of the multitask cognitive training application is obtained, and then the cognitive task performance score is determined according to the multitask accuracy. Specifically, if the multi-task accuracy is greater than or equal to the preset accuracy threshold, the cognitive task performance score is determined according to the preset mapping table, and it can be understood that the cognitive task performance score at this time is higher. And if one multi-task accuracy is smaller than a preset accuracy threshold, determining a cognitive task performance score according to a preset mapping table, wherein the cognitive task performance score is lower at the moment. The preset accuracy threshold may be set according to actual needs, for example, 90%, 80%, and the like, and the preset mapping table may be set according to a large number of experiments and researches, which is not described herein. In other embodiments, the cognitive task performance score may be further fused according to each accuracy of the multiple tasks to obtain a comprehensive accuracy, and then the cognitive task performance score is determined according to the comprehensive accuracy.
In one embodiment, a multitask reaction speed of a multitask cognitive training application is obtained, and then a cognitive task performance score is determined according to the multitask reaction speed. Specifically, if the multitask response speeds are all larger than or equal to the preset response speed threshold value, the cognitive task performance score is determined according to the preset mapping table, and it can be understood that the cognitive task performance score at the moment is higher. And if one multitask response speed is smaller than a preset response speed threshold, determining a cognitive task performance score according to a preset mapping table, wherein the cognitive task performance score is lower at the moment. The preset reaction speed threshold may be set according to actual needs, for example, 2 times per second, 3 times per second, and the like, and in addition, the preset mapping table may be set according to a large number of experiments and researches, which are not described herein. In other embodiments, the cognitive task performance score may be obtained by fusing the respective response speeds of the multiple tasks to obtain a comprehensive response speed, and then determining the cognitive task performance score according to the comprehensive response speed.
In one embodiment, the multitask accuracy and the multitask reaction speed of the multitask cognitive training application are obtained, and then the cognitive task performance score is determined according to the multitask accuracy and the multitask reaction speed. Specifically, if the multitask accuracy is greater than or equal to the preset accuracy threshold, and if the multitask response speed is greater than or equal to the preset response speed threshold, the cognitive task performance score is determined according to the preset mapping table, and it can be understood that the cognitive task performance score at this time is higher. And if the multitask accuracy is smaller than a preset accuracy threshold, or if the multitask response speed is smaller than a preset response speed threshold, determining a cognitive task performance score according to a preset mapping table, wherein the cognitive task performance score is lower at the moment. The preset accuracy threshold may be set according to actual needs, for example, 90% or 80%, the preset reaction speed threshold may be set according to actual needs, for example, 2 times per second or 3 times per second, and the preset mapping table may be set according to a large number of experiments and researches, which is not described herein. In other embodiments, the cognitive task performance score may be obtained by fusing the accuracy rates and the response rates of the multiple tasks to obtain a composite index score, and then determining the cognitive task performance score according to the composite index score.
In another embodiment, the step a22 includes the following steps a221-a 222:
step a221, acquiring the single task accuracy and/or the single task reaction speed of the single task cognitive training application;
step a222, comparing and analyzing the multitask accuracy and/or the multitask reaction speed with the single task accuracy and/or the single task reaction speed to determine a cognitive task performance score.
In this embodiment, in order to fully reflect the performance of the multi-task cognitive training, the training terminal further includes a single-task cognitive training application, and the single-task cognitive training application includes an independent task. Firstly, acquiring the single task accuracy and/or the single task reaction speed of the single task cognitive training application, then, comparing and analyzing the multi-task accuracy and/or the multi-task reaction speed with the single task accuracy and/or the single task reaction speed, and determining the cognitive task performance score.
In one embodiment, a difference in accuracy between the multitask accuracy and the single task accuracy is calculated, and then a cognitive task performance score is determined based on the difference in accuracy. Specifically, if the accuracy difference is greater than or equal to the preset accuracy threshold, the cognitive task performance score is determined according to the preset mapping table, and it can be understood that the cognitive task performance score at this time is higher. And if one of the accuracy rate differences is smaller than a preset accuracy rate threshold value, determining the cognitive task performance score according to a preset mapping table, wherein the cognitive task performance score is lower at the moment. The preset accuracy threshold may be set according to actual needs, for example, 30%, 20%, and the like, and the preset mapping table may be set according to a large number of experiments and researches, which are not described herein. In other embodiments, the cognitive task performance score may be obtained by fusing the accuracy differences of multiple tasks to obtain a comprehensive accuracy difference, and then determining the cognitive task performance score according to the comprehensive accuracy difference.
In one embodiment, a velocity difference between the multitask reaction velocity and the single task reaction velocity is calculated, and then a cognitive task performance score is determined based on the velocity difference. Specifically, if the speed differences are all larger than or equal to a preset speed difference threshold, determining the cognitive task performance score according to a preset mapping table. And if the speed difference is smaller than a preset speed difference threshold value, determining the cognitive task performance score according to a preset mapping table. The preset speed difference can be set according to actual needs, and in addition, the preset mapping table can be set according to a large number of experiments and researches, which are not described herein. In another embodiment, the cognitive task performance score may be obtained by fusing the speed differences of multiple tasks to obtain a comprehensive speed difference, and then determining the cognitive task performance score according to the comprehensive speed difference.
In one embodiment, a difference in accuracy between a multitask accuracy and a single task accuracy is calculated, a speed difference between a multitask response speed and a single task response speed is calculated, and then a cognitive task performance score is determined based on the difference in accuracy and the speed difference. Specifically, if the accuracy difference is greater than or equal to a preset accuracy threshold, and if the speed difference is greater than or equal to a preset speed difference threshold, determining the cognitive task performance score according to a preset mapping table. And if one of the accuracy difference is smaller than a preset accuracy threshold, or if one of the speed differences is smaller than a preset speed difference threshold, determining the cognitive task performance score according to a preset mapping table. The preset accuracy threshold may be set according to actual needs, for example, 30% or 20%, the preset speed difference may be set according to actual needs, and the preset mapping table may be set according to a large number of experiments and researches, which is not described herein. In other embodiments, the cognitive task performance score may be obtained by fusing the accuracy differences and the speed differences of the multiple tasks to obtain a comprehensive speed difference, and then determining the cognitive task performance score according to the comprehensive speed difference.
In this embodiment, the cognitive task performance score is obtained through the multi-task cognitive training application of the training terminal, so that the performance is compared, and a training scheme is better adjusted in the following process, thereby further improving the scientificity and accuracy of the ADHD treatment.
Further, based on the first embodiment, a fourth embodiment of the training method for attention deficit hyperactivity disorder of the present invention is provided.
Referring to fig. 4, fig. 4 is a flowchart illustrating a training method for attention deficit hyperactivity disorder according to a fourth embodiment of the present invention.
In the present embodiment, the above step S30 includes the following steps S31-S33:
step S31 of normalizing the electroencephalogram performance score and the cognitive task performance score;
in this embodiment, the training terminal includes a cognitive training application, and the cognitive training application includes a multi-task cognitive training task or a single-task cognitive training task, so that the ADHD patient performs attention training based on the cognitive training application, thereby achieving a therapeutic effect.
Since brain wave performance scores and cognitive task performance scores are different in nature, usually have different dimensions and magnitudes, when the levels of the performance scores are very different, if the original performance scores are directly used for analysis, the training scheme is not accurate enough to adjust later. Therefore, to ensure the reliability of the result, the electroencephalogram performance score and the cognitive task performance score are first normalized.
It should be noted that the normalization process may be implemented by a data normalization algorithm, for example, an extreme value method, a standard deviation method, a three-fold line method, a semi-normal distribution method, and the like, which is not described herein again.
Step S32, fusing the brain wave expression score after the standardization processing and the cognitive task expression score after the standardization processing to obtain a comprehensive expression score;
in the present embodiment, the normalized brain wave expression score and the normalized cognitive task expression score are fused to obtain a comprehensive expression score, and the individual expression scores are comprehensively considered.
In an embodiment, the brain wave performance score may be compared with a preset brain wave performance mapping table, the cognitive task performance score may be compared with a preset cognitive task performance mapping table, and then, based on the comparison result, the comprehensive performance score may be obtained. Specifically, the comparison results may be fused, and then the training scheme may be adjusted based on the fused comparison results. In other embodiments, the composite performance score may be determined by other fusion methods.
And step S33, adjusting the training difficulty of the cognitive training application according to the comprehensive performance score.
And finally, adjusting the training difficulty of the cognitive training application according to the comprehensive performance score. Specifically, in a preset difficulty mapping table, a training difficulty is determined according to the comprehensive performance score, and then the cognitive training application is adjusted based on the training difficulty. The preset difficulty mapping table can be set according to actual needs.
It should be noted that the higher the composite performance score is, the training difficulty increases with the performance score, and correspondingly, the lower the composite performance score is, the training difficulty decreases with the performance score.
Further, after the step S33, the method further includes:
step A, detecting the task success rate of the cognitive training application;
and B, if the task success rate is not in a preset interval, adjusting the training difficulty of the cognitive training application until the task success rate is in the preset interval.
First, a task success rate of the cognitive training application is detected, where the task success rate is a passing success rate of the ADHD patient using the cognitive training application, for example, if the cognitive training application is a game, the task success rate is a passing success rate of the game. And then, if the task success rate is not in the preset interval, adjusting the training difficulty of the cognitive training application until the task success rate is in the preset interval so as to keep the enthusiasm and the challenge difficulty of the ADHD patients.
The preset interval may be set according to actual needs, for example, 60% to 70%, 50% to 60%, and is not limited herein.
In this embodiment, the brain wave performance score and the cognitive task performance score are standardized so as to adjust the training difficulty of the cognitive training application based on a plurality of performance scores of the same dimension, thereby improving the accuracy of adjusting the training difficulty and further improving the scientificity and accuracy of the ADHD treatment.
The invention also provides a training device for the hyperactivity intervention.
Referring to fig. 5, fig. 5 is a functional block diagram of the training apparatus for attention deficit hyperactivity disorder according to the first embodiment of the present invention.
In this embodiment, the hyperactivity intervention training device includes:
the electric wave acquisition module 10 is used for acquiring brain waves of the brain prefrontal lobe through a wearable brain wave recorder and determining a brain wave expression score according to the brain waves;
a score obtaining module 20, configured to obtain a cognitive task performance score of the training terminal;
and a training adjustment module 30, configured to adjust a training scheme of the training terminal according to the brain wave performance score and the cognitive task performance score.
Wherein, each virtual function module of the hyperactivity intervention training device is stored in the memory 1005 of the hyperactivity intervention training device shown in fig. 1, and is used for realizing all functions of the hyperactivity intervention training program; when executed by the processor 1001, the modules may perform a hyperactivity intervention training function.
Further, the electric wave acquisition module 10 includes:
the data processing unit is used for carrying out data preprocessing on the brain waves to obtain brain electrical data;
the data analysis unit is used for analyzing the electroencephalogram data to obtain a concentration numerical value;
a first score determining unit for determining a brain wave expression score according to the concentration value.
Further, the training terminal includes a multitask cognitive training application, and the score obtaining module 20 includes:
the application acquisition unit is used for acquiring the multitask accuracy and/or the multitask response speed of the multitask cognitive training application;
and the second score determining unit is used for determining the cognitive task performance score according to the multitask accuracy and/or the multitask reaction speed.
Further, the training terminal further includes a single task cognitive training application, and the second score determining unit includes:
the application acquisition subunit is used for acquiring the single-task accuracy and/or the single-task reaction speed of the single-task cognitive training application;
and the score determining subunit is used for comparing and analyzing the multitask accuracy and/or the multitask reaction speed with the single task accuracy and/or the single task reaction speed to determine a cognitive task performance score.
Further, the training terminal includes a cognitive training application, and the training adjustment module 30 includes:
a score processing unit for normalizing the brain wave performance score and the cognitive task performance score;
a score fusion unit for fusing the brain wave performance score after the normalization processing and the cognitive task performance score after the normalization processing to obtain a comprehensive performance score;
and the difficulty adjusting unit is used for adjusting the training difficulty of the cognitive training application according to the comprehensive performance score.
Further, the training adjustment module 30 further includes:
the success rate detection unit is used for detecting the task success rate of the cognitive training application;
and the difficulty adjusting subunit is used for adjusting the training difficulty of the cognitive training application if the task success rate is not within a preset interval until the task success rate is within the preset interval.
Further, the training terminal comprises a game-oriented cognitive training application, the game-oriented cognitive training application comprises a plurality of game tasks, and the game tasks are performed simultaneously.
The function implementation of each module in the hyperactivity intervention training device corresponds to each step in the embodiment of the hyperactivity intervention training method, and the functions and implementation processes are not described in detail herein.
The present invention also provides a terminal device, including: a memory, a processor and a hyperactivity intervention training program stored on the memory and executable on the processor, the hyperactivity intervention training program when executed by the processor implementing the steps of the hyperactivity intervention training method as described in any one of the above embodiments.
The specific embodiment of the terminal device of the present invention is basically the same as the embodiments of the hyperactivity intervention training method, and is not described herein again.
The present invention also provides a computer readable storage medium having stored thereon a hyperactivity intervention training program which, when executed by a processor, implements the steps of the hyperactivity intervention training method as described in any one of the above embodiments.
The specific embodiment of the computer-readable storage medium of the present invention is substantially the same as the embodiments of the aforementioned hyperactivity intervention training method, and is not repeated herein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. The hyperactivity intervention training method is applied to terminal equipment, wherein the terminal equipment comprises a wearable brain wave recorder and a training terminal, and the hyperactivity intervention training method comprises the following steps:
acquiring brain waves of the brain prefrontal lobe through the wearable brain wave recorder, and determining a brain wave expression score according to the brain waves;
acquiring a cognitive task performance score of the training terminal;
and adjusting the training scheme of the training terminal according to the brain wave performance score and the cognitive task performance score.
2. The hyperactivity intervention training method as claimed in claim 1, wherein the step of determining a brain wave performance score from the brain waves comprises:
preprocessing the brain waves to obtain brain wave data;
analyzing the electroencephalogram data to obtain a concentration numerical value;
and determining a brain wave performance score according to the concentration numerical value.
3. The hyperactivity intervention training method of claim 1, wherein the training terminal includes a multitask cognitive training application, and the step of obtaining the cognitive task performance score of the training terminal includes:
acquiring the multitask accuracy and/or the multitask reaction speed of the multitask cognitive training application;
and determining a cognitive task performance score according to the multitask accuracy and/or the multitask reaction speed.
4. The training method of claim 3, wherein the training terminal further comprises a single task cognitive training application, and the step of determining a cognitive task performance score according to the multitask accuracy and/or the multitask response speed comprises:
acquiring the single task accuracy and/or the single task reaction speed of the single task cognitive training application;
and comparing and analyzing the multitask accuracy and/or the multitask reaction speed with the single task accuracy and/or the single task reaction speed to determine a cognitive task performance score.
5. The training method of claim 1, wherein the training terminal comprises a cognitive training application, and the step of adjusting the training scheme of the training terminal according to the brain wave performance score and the cognitive task performance score comprises:
standardizing the brain wave performance score and the cognitive task performance score;
fusing the brain wave expression score after the standardization processing and the cognitive task expression score after the standardization processing to obtain a comprehensive expression score;
and adjusting the training difficulty of the cognitive training application according to the comprehensive performance score.
6. The hyperactivity intervention training method of claim 5, further comprising, after the step of adjusting the difficulty of training of the cognitive training application based on the composite performance score:
detecting a task success rate of the cognitive training application;
and if the task success rate is not in a preset interval, adjusting the training difficulty of the cognitive training application until the task success rate is in the preset interval.
7. The hyperactivity intervention training method of any one of claims 1-6, wherein a gaming cognitive training application is included in the training terminal, the gaming cognitive training application including a plurality of game tasks, the plurality of game tasks being performed simultaneously.
8. A hyperactivity intervention training device, comprising:
the electric wave acquisition module is used for acquiring brain waves of the brain prefrontal lobe through a wearable brain wave recorder and determining a brain wave expression score according to the brain waves;
the score acquisition module is used for acquiring the cognitive task performance score of the training terminal;
and the training adjusting module is used for adjusting the training scheme of the training terminal according to the brain wave performance score and the cognitive task performance score.
9. A terminal device, characterized in that the terminal device further comprises: memory, a processor and a hyperactivity intervention training program stored on the memory and executable on the processor, the hyperactivity intervention training program when executed by the processor implementing the steps of the method of hyperactivity intervention training as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a hyperactivity intervention training program which, when executed by a processor, implements the steps of the hyperactivity intervention training method as claimed in any one of claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115154829A (en) * | 2022-09-07 | 2022-10-11 | 深圳市心流科技有限公司 | Method, device and system for formulating reaction force training scheme and storage medium |
| CN115329901A (en) * | 2022-10-12 | 2022-11-11 | 深圳市心流科技有限公司 | Cognitive training method, device, equipment and storage terminal |
| CN116895367A (en) * | 2023-09-11 | 2023-10-17 | 北京智精灵科技有限公司 | Method and system for pushing hyperkinetic symptom training scheme based on brain function training |
| CN117238451A (en) * | 2023-11-16 | 2023-12-15 | 北京无疆脑智科技有限公司 | Training scheme determining method, device, electronic equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115154829A (en) * | 2022-09-07 | 2022-10-11 | 深圳市心流科技有限公司 | Method, device and system for formulating reaction force training scheme and storage medium |
| CN115329901A (en) * | 2022-10-12 | 2022-11-11 | 深圳市心流科技有限公司 | Cognitive training method, device, equipment and storage terminal |
| CN116895367A (en) * | 2023-09-11 | 2023-10-17 | 北京智精灵科技有限公司 | Method and system for pushing hyperkinetic symptom training scheme based on brain function training |
| CN116895367B (en) * | 2023-09-11 | 2023-12-22 | 北京智精灵科技有限公司 | Method and system for pushing hyperkinetic symptom training scheme based on brain function training |
| CN117238451A (en) * | 2023-11-16 | 2023-12-15 | 北京无疆脑智科技有限公司 | Training scheme determining method, device, electronic equipment and storage medium |
| CN117238451B (en) * | 2023-11-16 | 2024-02-13 | 北京无疆脑智科技有限公司 | Training scheme determining method, device, electronic equipment and storage medium |
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