CN113658705A - Cognitive function regulation and control device, system and method, application of cognitive function regulation and control device in cognitive function deficiency, storage medium and terminal - Google Patents

Cognitive function regulation and control device, system and method, application of cognitive function regulation and control device in cognitive function deficiency, storage medium and terminal Download PDF

Info

Publication number
CN113658705A
CN113658705A CN202111222946.9A CN202111222946A CN113658705A CN 113658705 A CN113658705 A CN 113658705A CN 202111222946 A CN202111222946 A CN 202111222946A CN 113658705 A CN113658705 A CN 113658705A
Authority
CN
China
Prior art keywords
cognitive function
user
data
cognitive
regulation
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202111222946.9A
Other languages
Chinese (zh)
Other versions
CN113658705B (en
Inventor
不公告发明人
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Weiming Brain Technology Co ltd
Original Assignee
Beijing Weiming Brain Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from CN202011337209.9A external-priority patent/CN112465139A/en
Application filed by Beijing Weiming Brain Technology Co ltd filed Critical Beijing Weiming Brain Technology Co ltd
Priority to CN202111316100.1A priority Critical patent/CN113948212A/en
Publication of CN113658705A publication Critical patent/CN113658705A/en
Priority to PCT/CN2021/133253 priority patent/WO2022111597A1/en
Application granted granted Critical
Publication of CN113658705B publication Critical patent/CN113658705B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/16Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/165Evaluating the state of mind, e.g. depression, anxiety
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/40Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4076Diagnosing or monitoring particular conditions of the nervous system
    • A61B5/4082Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/40Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4076Diagnosing or monitoring particular conditions of the nervous system
    • A61B5/4088Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records

Abstract

The application discloses a device, a system and a method for regulating and controlling cognitive functions, application of the device to cognitive function deficiency, a storage medium and a terminal. The cognitive function regulation device comprises: the data receiving function module is used for receiving existing data and/or cognitive function evaluation data from at least one user; the data identification/evaluation functional module is used for judging the cognitive function level of the user according to the data received by the data receiving functional module; and the data analysis function module is used for selecting at least one cognitive function regulation and control tool from a regulation and control tool database of the regulation and control device according to at least one cognitive function object to be regulated and controlled of the user, which is reflected by the data received by the data receiving function module and/or the judgment result of the data identification/evaluation function module, so as to correspondingly form an individualized cognitive function regulation and control scheme aiming at the user.

Description

Cognitive function regulation and control device, system and method, application of cognitive function regulation and control device in cognitive function deficiency, storage medium and terminal
Technical Field
The present application relates to the field of technical interventions for cognitive function, more specifically to personalized regulation schemes for cognitive function.
Background
Cognition is the process in which the human brain receives external information, processes it, converts it into intrinsic psychological activities, and governs human behavior, including feeling, perception, memory, thinking, imagination, and language.
The human brain is the basis for cognitive function in humans. Generally, the cognitive function of the human brain deteriorates to some extent as the elderly progress. In some cases, it may be due to trauma, genetic factors, etc., that a certain impairment or even a relatively serious disorder or defect of human cognitive function occurs, resulting in a decrease or at least a certain loss of the patient's ability to speak, think, socialize, act, etc., and thus presenting a neuropsychological abnormal situation. Generally, cognitive deficits mainly include: sensory deficit, memory deficit, thought deficit, and the like, such as but not limited to: attention Deficit and Hyperactivity Disorder (ADHD), Traumatic Brain Injury (TBI), prion disease dementia, Parkinson's disease, cerebral amyloid angiopathy, Huntington's disease or other neurodegenerative disorders, autism spectrum impairment (ASD), Sensory Processing Deficits (SPD), Mild Cognitive Impairment (MCI), Alzheimer's Disease (AD), schizophrenia, depression, anxiety, learning or memory deficits, adult attention deficits, aphasia, agnosia, and the like.
With the development of human society, many countries have entered or are entering the elderly society. Therefore, the incidence of cognitive deficiency diseases is higher and the population suffering from the diseases is larger, which has become a great threat to human health.
The traditional treatment method for cognitive function deficiency mainly comprises the following steps: 1) drugs, such as drugs for improving cerebral blood flow, cerebral oxygen supply, neurotrophic drugs, and the like; 2) surgery, surgical treatment of certain diseased areas of the brain; 3) acupuncture and moxibustion massage; and 4) physical therapy, such as electromagnetic stimulation therapy, and the like. These traditional therapies do not provide good results. For example, in order to develop a medicine for such cognitive deficit diseases, excellent scientists worldwide have invested enormous time, effort and money, but good results have not been obtained until now.
However, in recent years, the situation of frustration has been improved, and with the increase of medical level, in combination with the rapid development of interdisciplines such as biological information detection technology, artificial intelligence technology, mobile internet technology, communication technology and the like, people have opened up a new path in addition to the traditional chemical medicine research and development path: "digital medicine" or "digital therapy". So-called "digital medicine" or "digital therapy" is generally based on technical devices such as medical treatment, mobile internet, high-speed telecommunication network, wearable devices and intelligent software, and is used for measuring, evaluating and/or intervening human health according to clinical information data.
In the field of cognitive deficit disorders, new types of "digital drugs" or "digital therapies" are developed as a result of lack of effective treatment methods and often long-term and unrelenting persistence is required to gradually achieve a certain therapeutic effect. At present, with intensive research on brain science, neuropsychology and the like, people have begun to use the technical intervention means of the above-mentioned "digital medicine" or "digital therapy" to try to regulate and control the cognitive function deficiency of human (including but not limited to screening, evaluation, training, improvement or promotion), the field is around the world and researchers in various countries have been actively developing and primarily achieving favorable results. The applicant and the research and development team of the present application are the prior people who focus on the regulation and control of the cognitive function by the technical intervention means in order to improve the cognitive function to a certain extent in China, and therefore a series of patent applications including the present application are proposed to provide a series of solutions for regulating and controlling the cognitive function by the technical intervention means.
Disclosure of Invention
The application provides a cognitive function regulation and control scheme, which can regulate and control the cognitive function by using a technical intervention means, so that the cognitive function level is improved or improved to at least a certain extent.
According to an aspect of the present application, there is provided a regulatory device of cognitive function, the regulatory device comprising: the data receiving function module is used for receiving existing data and/or cognitive function evaluation data from at least one user; the data identification/evaluation functional module is used for judging the cognitive function level of the user according to the data received by the data receiving functional module; and the data analysis function module is used for selecting at least one cognitive function regulation and control tool from a regulation and control tool database of the regulation and control device according to at least one cognitive function object to be regulated and controlled of the user, which is reflected by the data received by the data receiving function module and/or the judgment result of the data identification/evaluation function module, so as to correspondingly form an individualized cognitive function regulation and control scheme aiming at the user.
Preferably, the personalized cognitive function modulation scheme comprises at least one of the following features: the type of the cognitive function regulating tools, the number of the cognitive function regulating tools, the execution sequence of the cognitive function regulating tools, the use strength of the cognitive function regulating tools and the use proportion of the cognitive function training tools.
Preferably, the data recognition/evaluation function module determines a cognitive function status of the user.
Preferably, the data analysis function module sets an individualized numerical analysis model of the plurality of cognitive function objects to be controlled according to the plurality of cognitive function objects to be controlled of the user, and correspondingly forms an individualized cognitive function control scheme according to the individualized numerical analysis model of the plurality of cognitive function objects to be controlled of the user, and the logical organization relations of the plurality of cognitive function control tools of the individualized cognitive function control scheme are matched with the individualized numerical analysis models of the plurality of cognitive function objects to be controlled.
Preferably, the personalized numerical analysis model of the plurality of cognitive function objects to be modulated is set up by considering at least one of the following factors: according to at least one of the defect type and the severity of the cognitive function object to be controlled by the user and the condition of the user in the process of regulating and controlling the cognitive function.
Preferably, the existing data from the at least one user comprises at least one of:
the background data of the user, the background data comprises identity information, age, gender, native language, education condition and family condition;
physiological or clinical data of the user, the physiological or clinical data including height, weight, body fat rate, heart rate, body shape, medical history, physical examination information;
historical or raw cognitive function assessment information for the user;
the brain scan or monitoring data of the user, the brain scan or monitoring data being static and/or dynamic data about the user's brain obtained in an invasive and/or non-invasive manner.
Preferably, the regulation and control device is an iterative working mode for the working mode of the same user, the data receiving function module is configured to receive existing data and/or updated cognitive function evaluation data from the user, the data identifying/evaluating function module is configured to re-determine the cognitive function level of the user, and the data analyzing function module is configured to correspondingly form an updated personalized cognitive function regulation and control scheme for the user according to the updated data received by the data receiving function module and/or the updated at least one cognitive function object to be regulated and controlled of the user reflected by the update determination result of the data identifying/evaluating function module.
Preferably, the regulatory device is used for assessment and/or training of cognitive function.
Preferably, the data analysis function module comprises an engine, and the engine adaptively formulates a personalized cognitive function regulation and control scheme which is matched with the personalized numerical analysis model of a plurality of cognitive function objects to be regulated and controlled of the user and has a plurality of cognitive function regulation and control tools; the engine is preferably a smart engine.
Preferably, the cognitive function object includes at least one of memory, attention, learning, emotion, decision and perception, the cognitive function object includes a basic cognitive function object and specific cognitive function objects covered by the basic cognitive function object, the specific cognitive function objects covered by different basic cognitive function objects have intersection or mutual independence, and the regulation and control tool database includes a primary cognitive function regulation and control tool corresponding to the basic cognitive function object and a secondary cognitive function regulation and control tool corresponding to the specific cognitive function object covered by the basic cognitive function object.
Preferably, the engine includes: the main engine is used for adaptively formulating an individualized cognitive function regulation and control scheme which is matched with the main engine and is provided with a plurality of primary cognitive function regulation and control tools according to the individualized numerical analysis model of a plurality of basic cognitive function objects to be regulated and controlled of the user; preferably, the engine further comprises a slave engine, and the slave engine is used for adaptively making a personalized cognitive function regulation scheme matched with the personalized cognitive function regulation scheme with a plurality of secondary cognitive function regulation tools according to the personalized numerical analysis model of the specific cognitive function object covered by the plurality of basic cognitive function objects to be regulated of the user.
Preferably, the cognitive function control tool scheme comprises a plurality of tasks, and parameters of at least one task are adaptively matched with personalized numerical analysis models of a plurality of cognitive function objects to be controlled of the user.
According to another aspect of the present application, a system for regulating cognitive functions is also provided, the system comprising: a cognitive function regulating device, wherein the cognitive function regulating device is the cognitive function regulating device; and the interactive terminal receives the personalized cognitive function regulation and control scheme from the regulation and control device and provides the personalized cognitive function regulation and control scheme for at least one user to interactively execute.
Preferably, the interactive terminal sends the data of the at least one user executing the personalized cognitive function regulation and control scheme to the data receiving function module; and/or the regulation and control system comprises a data acquisition terminal, and the data acquisition terminal acquires data of at least one user executing the personalized cognitive function regulation and control scheme and sends the acquired data to the data receiving function module.
Preferably, at least two of the interactive terminal, the data acquisition terminal and the cognitive function regulation and control device are integrally arranged; or the interactive terminal, the data acquisition terminal and the cognitive function regulation and control device are respectively and independently arranged.
Preferably, the interactive terminal comprises a smart phone, a tablet computer, a notebook computer, a desktop computer, an earphone with an interactive function, a display, glasses, augmented reality equipment and virtual reality equipment; or the data acquisition terminal comprises a gyroscope, an accelerometer, a speedometer, a motion sensor, a pressure sensor, an optical sensor, an audio acquisition device, a video acquisition device, an auditory sensor, a vibration sensor and a brain scanning or monitoring instrument.
According to still another aspect of the present application, there is provided a method for controlling cognitive function, the method comprising: receiving existing data and/or cognitive function assessment data from at least one user; judging the cognitive function level of the user according to the data received by the data receiving function module; and selecting at least one cognitive function regulation and control tool according to the data received by the data receiving function module and/or at least one cognitive function object to be regulated and controlled of the user reflected by the judgment result of the data identification/evaluation function module so as to correspondingly form a personalized cognitive function regulation and control scheme aiming at the user.
Preferably, the personalized cognitive function modulation scheme comprises at least one of the following features: the type of the cognitive function regulating tools, the number of the cognitive function regulating tools, the execution sequence of the cognitive function regulating tools, the use strength of the cognitive function regulating tools and the use proportion of the cognitive function training tools.
Preferably, determining the cognitive function status or level of the user comprises determining whether the user has a cognitive function level and/or whether the cognitive function level is within an acceptable range.
Preferably, an individualized numerical analysis model of the plurality of cognitive function objects to be controlled is set according to the plurality of cognitive function objects to be controlled of the user, an individualized cognitive function control scheme is correspondingly formed according to the individualized numerical analysis model of the plurality of cognitive function objects to be controlled of the user, and the logical organization relationship of a plurality of cognitive function control tools of the individualized cognitive function control scheme is matched with the individualized numerical analysis model of the plurality of cognitive function objects to be controlled.
Preferably, the personalized numerical analysis model of the plurality of cognitive function objects to be modulated is set up by considering at least one of the following factors: according to at least one of the defect type and the severity of the cognitive function object to be controlled by the user and the condition of the user in the process of regulating and controlling the cognitive function.
Preferably, the existing data from the at least one user comprises at least one of:
the background data of the user, the background data comprises identity information, age, gender, native language, education condition and family condition;
physiological or clinical data of the user, the physiological or clinical data including height, weight, body fat rate, heart rate, body shape, medical history, physical examination information;
historical or raw cognitive function assessment information for the user;
the brain scan or monitoring data of the user, the brain scan or monitoring data being static and/or dynamic data about the user's brain obtained in an invasive and/or non-invasive manner.
Preferably, the regulation and control method is an iterative operation mode for the operation mode of the same user, and the regulation and control method further includes: and receiving the existing data and/or updated cognitive function evaluation data from the user, re-judging the cognitive function level of the user, and correspondingly forming an updated personalized cognitive function regulation and control scheme aiming at the user according to at least one updated cognitive function object to be regulated and controlled of the user reflected by the updated data and/or the updated cognitive function level judgment result.
Preferably, the modulation method is used for assessment and/or training of cognitive function.
Preferably, the regulation and control method further comprises the step of adaptively making a personalized cognitive function regulation and control scheme which is matched with the personalized numerical analysis model of the plurality of cognitive function objects to be regulated and controlled of the user and is provided with a plurality of cognitive function regulation and control tools.
Preferably, the cognitive function object includes at least one of memory, attention, learning, emotion, decision and perception, the cognitive function object includes a basic cognitive function object and specific cognitive function objects covered by the basic cognitive function object, the specific cognitive function objects covered by different basic cognitive function objects have intersection or mutual independence, and the cognitive function control tool includes a primary cognitive function control tool corresponding to the basic cognitive function object and a secondary cognitive function control tool corresponding to the specific cognitive function object covered by the basic cognitive function object.
Preferably, the regulation method comprises: adaptively formulating an individualized cognitive function regulation and control scheme which is matched with the individualized numerical analysis model of a plurality of basic cognitive function objects to be regulated and controlled of the user and is provided with a plurality of primary cognitive function regulation and control tools; preferably, the regulation and control method further comprises adaptively formulating a personalized cognitive function regulation and control scheme having a plurality of secondary cognitive function regulation and control tools, which is matched with the personalized numerical analysis model of the specific cognitive function object covered by the plurality of basic cognitive function objects to be regulated and controlled of the user.
Preferably, the cognitive function control tool scheme comprises a plurality of tasks, and parameters of at least one task are adaptively matched with personalized numerical analysis models of a plurality of cognitive function objects to be controlled of the user.
The present application further provides a storage medium, which includes a processor and a memory, and is used for executing the method for regulating the cognitive function of the present application when the storage medium runs.
The application also provides a terminal, which is an interactive terminal or a data acquisition terminal, wherein the interactive terminal or the data acquisition terminal is in communication with a regulation and control device with cognitive function, wherein the regulation and control device with cognitive function is the regulation and control device provided by the application, and the interactive terminal or the data acquisition terminal is preferably in one of the following forms: data processing equipment, computer keyboards, mice (computer peripherals), electronic publications, downloadable computer programs, downloadable music files, portable computers, downloadable computer application software, interactive touch screen terminals, human-based robots with artificial intelligence, downloadable electronic music scores, Personal Digital Assistants (PDAs), thin client computers, recorded or downloadable computer screen saver software, wearable computers, data gloves, downloadable computer game software, smart eyes (data processing), smart watches (data processing), downloadable mobile phone application software, video phones, Global Positioning System (GPS) devices, wearable action trackers, smart phone cases, communication devices in the form of jewelry, non-medical monitoring devices, headphones, virtual reality headsets, earphones, non-medical diagnostic equipment, stroboscopes, online bracelets (measuring instruments), medical instruments and instruments, medical analytical instruments, medical test instruments, medical diagnostic equipment, medical health recovery instruments.
In addition, the application also provides an application of a regulation and control device, a regulation and control system or a regulation and control method of cognitive function in cognitive function deficiency (deficiency), wherein the regulation and control device of cognitive function is the regulation and control device provided by the application, the regulation and control system of cognitive function is the regulation and control system provided by the application, and the regulation and control method of cognitive function is the regulation and control method provided by the application.
Preferably, the cognitive function deficit comprises: at least one of a perception defect, a memory defect, and a thought defect.
Preferably, the cognitive function deficit is: attention Deficit and Hyperactivity Disorder (ADHD), Traumatic Brain Injury (TBI), prion disease dementia, Parkinson's disease, cerebral amyloid angiopathy, Huntington's disease or other neurodegenerative disease, autism spectrum impairment (ASD), Sensory Processing Deficiency (SPD), Mild Cognitive Impairment (MCI), Alzheimer's Disease (AD), schizophrenia, depression, anxiety, learning or memory deficiency, adult attention deficit, loss of speech, or loss of cognition.
According to the technical scheme, the personalized cognitive function regulation and control scheme can be provided for the user corresponding to the specific situation of the cognitive function of the user, so that the cognitive function of the user can be specifically screened, identified, evaluated, trained or intervened, and the like.
Additional features and advantages of the present application will be described in detail in the detailed description which follows.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate an embodiment of the invention and, together with the description, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of the basic architecture of a regulatory system for cognitive function provided in the present application;
FIG. 2 is a schematic diagram illustrating the operation of the cognitive function control device provided herein;
FIG. 3 is a schematic diagram illustrating the operation of another embodiment of a cognitive function control device provided herein;
FIG. 4 is a schematic diagram illustrating the operation of a cognitive function control device according to a preferred embodiment of the present invention;
FIG. 5 is a schematic diagram of the correspondence between cognitive function objects and cognitive function modulating tools according to a preferred embodiment of the present application;
FIG. 6 is a schematic diagram of the deployment principle of a master engine and a slave engine according to the preferred embodiment of the present application;
fig. 7 and 8 are schematic flow charts of a method for regulating cognitive function according to a preferred embodiment of the present application;
fig. 9 to 11 are schematic diagrams illustrating the operation principle of different embodiments of a cognitive function training (regulation) system as a presentation system of attention stimulation according to the cognitive function regulation scheme of the present application;
fig. 12 and 13 are exemplary flowcharts of a cognitive function training (regulation) method as a demonstration method of attention stimulation of a cognitive function regulation scheme according to the present application;
fig. 14 to 27 are schematic diagrams illustrating states of a cognitive function control scheme on a cognitive task interaction device in a display system according to the present application.
Detailed Description
The technical solutions of the present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments. The descriptions or explanations of the technical solutions and the technical features thereof in the present application are exemplary or explanatory, and are not intended to limit the scope of the present application. It will be appreciated by those skilled in the art that aspects of the present invention may be practiced in the same or similar manner as that described herein, and is not limited to the embodiments specifically described herein.
Definition of terms
In the present application, the definition of the related terms is as follows.
"attention stimulation" is that during the regulation (such as training), the system uses some form of "cognitive task stimulation" (such as icon or sound) to make corresponding cognitive judgment for the user. To enhance the training effect, an "attention stimulus" appears shortly before the cognitive task stimulus. The time interval for the attention and cognitive task stimuli may be 0-5 seconds, and the time interval may be random, or adaptively adjusted, depending on the scenario. When a cognitive task stimulus appears, the attention stimulus may persist, fade away, or disappear immediately.
By "user" is meant a person who uses or experiences at least some of the features of the technical solutions of the present application, including but not limited to: a person with a deficit in cognitive function, a person with normal or substantially normal cognitive function, a person who experiences or attempts at least a portion of the features of the technical solution of the present application in a relatively short time, a person who assesses, trains, improves cognitive function in a relatively long time, and the like.
The "cognitive function object" refers to an object for evaluating the cognitive function of a user from different dimensions, and may include, but is not limited to: memory: long-term memory, working memory, transient memory (or short-term memory); note that; learning: reasoning, computing, problem solving, understanding, language; emotion: facial expression, emotion control; and (3) decision making: making a decision, judging and evaluating; perception: eye movement and navigation; and so on.
By "modulating", it is meant that at least one of the user's cognitive function objects (preferably a plurality of cognitive function objects) is screened, identified, evaluated, trained, improved or promoted by means of technical intervention.
Other terms referred to in the present application will be explained below according to the description.
In a conventional scheme for processing cognitive functions by using technical intervention means, generally, a user is first tested and evaluated for cognitive functions by using an evaluation scale (e.g., an abbreviated intelligent test (AMT) or a simple intelligent mental state scale (MMSE)), and then a professional selects an appropriate technical intervention means (e.g., a relevant interaction task is shown to the user and the user is allowed to perform) according to the user's test result and his own experience, so as to regulate and control the user, e.g., perform cognitive function training, and the like. However, the conventional solution has drawbacks in that: although the conventional scheme selects a technical intervention scheme according to the test result of the user because the cognitive functions of different users are greatly different, the conventional scheme mostly provides the user with a training task for a single cognitive function object by mainly depending on the personal experience of professionals (for example, if the inhibition of the user needs training and strengthening, the task of providing the inhibition, namely the cognitive function object, is performed by the user.
However, the inventors of the present application have long studied and found that users with cognitive deficits or even cognitive dysfunction often have problems with cognitive function not only in one cognitive function object or dimension, but in a plurality of different objects of cognitive function. Furthermore, even if different persons visually perceive the cognitive function deficiency or the disorder symptoms to be substantially the same or similar, the cognitive function object in which the problem occurs differs. Even if the same user (or subject) is in different time steps or in different scenes, the situation of the cognitive function object is different. Based on this, it is necessary to provide a personalized cognitive function control method for different users to accurately and reliably control according to the personalized status of the cognitive function of the user.
In the present application, the applicant's research and development team firstly realized the existence of the above technical defects, which has been greatly improved compared with the conventional technical solutions, but the present application is not limited to the above technical defects, and on the basis of the technical defects, a regulation scheme of cognitive functions by technical intervention means is correspondingly proposed. Hereinafter, the technical solution of the present application will be described in detail by way of example.
Control system for cognitive function
As shown in fig. 1, the present application provides a cognitive function control system, including: the cognitive function regulating and controlling device is used for providing an individualized cognitive function regulating and controlling scheme according to the cognitive function specific situation of at least one user; and the interactive terminal receives the personalized cognitive function regulation and control scheme from the regulation and control device and provides the personalized cognitive function regulation and control scheme for at least one user to interactively execute.
The regulatory device regarding cognitive function will be described in detail below. In the regulation and control system for cognitive functions, the core scheme is to provide an individualized cognitive function regulation and control scheme for a user by utilizing a regulation and control device so as to realize the regulation and control treatment such as screening, identification, evaluation, training or intervention on the cognitive functions of the user in a targeted manner.
In the technical solution of the present application, the application may be performed for one user, but the present application is not limited thereto, and the application may also be performed for a plurality of users (even a plurality of users) simultaneously and/or respectively, so that each user can be provided with a personalized cognitive function control scheme for the user.
The regulation and control device for cognitive function can have various physical forms, for example, the regulation and control device can be a localized device with information processing function, such as a desktop computer, a notebook computer, a server, a workstation, a smart phone, a tablet computer and the like; or as an alternative, the regulating device may be a cloud server. In the present application, the regulation and control device for cognitive function is provided with a program for realizing the functions described in the present application.
After the cognitive function control device issues the personalized cognitive function control scheme, the interactive terminal can receive the personalized cognitive function control scheme from the cognitive function control device for at least one user to interactively execute. Preferably, the interactive terminal may send the situation or parameters or data of the user executing the personalized cognitive function control scheme to the cognitive function control device, so that the cognitive function control device adjusts the original cognitive function control scheme to generate an updated cognitive function control scheme (this point will be explained in detail when the cognitive function control device is described in detail). The form of the interactive terminal is various, including but not limited to smart phones, tablet computers, notebook computers, desktop computers, earphones with interactive functions, displays, glasses, augmented reality devices, and virtual reality devices.
Preferably, as shown in fig. 1, the control system may further include a data acquisition terminal, where the data acquisition terminal acquires a situation or parameter or data of at least one user executing a personalized cognitive function control scheme, and sends the acquired data to the cognitive function control device, so that the control device adjusts the original cognitive function control scheme, thereby generating an updated cognitive function control scheme. The data acquisition terminal can be in various forms, including but not limited to a gyroscope, an accelerometer, a velocimeter, a motion sensor, a pressure sensor, an optical sensor, an audio acquisition device, a video acquisition device, an auditory sensor, a vibration sensor, a brain scanning or monitoring instrument.
As described above, the cognitive function control system of the present application may have a localized form or a cloud form. Therefore, the data acquisition terminal, the interactive terminal and the regulation and control device can be combined in different forms according to different physical forms.
For example, at least two of the interaction terminal, the data acquisition terminal and the cognitive function control device are integrally arranged. For example, the interactive terminal and the data acquisition terminal may be integrated and implemented by using the data acquisition function of the interactive terminal. For example, when the tablet pc is used as the interactive terminal, the tablet pc can be used as a data acquisition terminal, and the data of the user during executing the cognitive function regulation and control scheme can be acquired by acquiring the operation information of the user on the tablet pc. For another example, the interactive terminal and the cognitive function control device may be integrally configured, and the tablet computer may be provided with the cognitive function control device by setting a corresponding application program. Or as an alternative implementation mode, the interactive terminal, the data acquisition terminal and the cognitive function regulation and control device are respectively and independently arranged. For example, the interactive terminal is a smart phone, the data acquisition terminal is a camera for monitoring a user when the user uses the smart phone, the cognitive function regulation and control device is a cloud server, and the three are communicated with each other through a network.
The "terminal" can be understood as various embodiments according to different application scenarios. For example, the interactive terminal may be a physical terminal, such as a smart phone, a computer, etc., as described above; or may also be understood as a software terminal, such as an APP installed on the smart phone or the tablet computer, or an application installed on the desktop computer; or a combination of physical and software terminals. In the present application, the interactive terminal and/or the data acquisition terminal used in cooperation with the control device in the cognitive function control system may also be regarded as a separate subject and fall within the scope of protection of the present application. Therefore, the application also provides a terminal which is an interactive terminal or a data acquisition terminal, wherein the interactive terminal or the data acquisition terminal is respectively communicated with the regulation and control device with the cognitive function, and the regulation and control device with the cognitive function is the regulation and control device provided by the application.
In the technical solution of the present application, the regulation and control device, the system and various involved hardware terminals and/or software terminals (such as an upper interaction terminal or a data acquisition terminal) may cover but are not limited to: data processing equipment, computer keyboards, mice (computer peripherals), electronic publications, downloadable computer programs, downloadable music files, portable computers, downloadable computer application software, interactive touch screen terminals, human-based robots with artificial intelligence, downloadable electronic music scores, Personal Digital Assistants (PDAs), thin client computers, recorded or downloadable computer screen saver software, wearable computers, data gloves, downloadable computer game software, smart eyes (data processing), smart watches (data processing), downloadable mobile phone application software, video phones, Global Positioning System (GPS) devices, wearable action trackers, smart phone cases, communication devices in the form of jewelry, non-medical monitoring devices, headphones, virtual reality headsets, earphones, non-medical diagnostic equipment, stroboscopes, online bracelets (measuring instruments), medical instruments and instruments, medical analytical instruments, medical test instruments, medical diagnostic equipment, medical body rehabilitation instruments, and the like.
As described above, in the present application, the core solution is to provide a personalized cognitive function control solution to a user by using a cognitive function control device. The regulation device and the regulation method of cognitive function provided in the present application will be described in detail below.
Third, regulation and control device and regulation and control method of cognitive function
As shown in fig. 2, the device for regulating cognitive function provided by the present application comprises:
the data receiving function module is used for receiving existing data and/or cognitive function evaluation data from at least one user;
the data identification/evaluation functional module is used for judging the cognitive function level of the user according to the data received by the data receiving functional module;
and the data analysis function module is used for selecting at least one cognitive function regulation and control tool from a regulation and control tool database of the regulation and control device according to at least one cognitive function object to be regulated and controlled of the user, which is reflected by the data received by the data receiving function module and/or the judgment result of the data identification/evaluation function module, so as to correspondingly form an individualized cognitive function regulation and control scheme aiming at the user.
If the user firstly performs the regulation and control intervention treatment of the cognitive function, the data receiving function module can receive the existing data from the user. For example, first-use users may obtain such pre-existing data through physical examination, inquiry, clinical data, abbreviated intelligent test (AMT), simple intelligent mental state scale (MMSE), and the like. If the user does not perform the regulation and control intervention processing of the cognitive function for the first time, for example, the same or similar regulation and control intervention processing of the cognitive function has been performed before, the data receiving function module may receive the cognitive function evaluation data obtained in the regulation and control intervention processing process; existing data as described above or updated may also be received. The data receiving function module can receive the data in various ways, for example, it can be realized by manual input, two-dimensional code scanning, OCR recognition scanning, signal transmission, etc.
According to different application scenarios, the existing data includes, but is not limited to, at least one of the following data: the background data of the user, the background data comprises identity information, age, gender, native language, education condition and family condition; physiological or clinical data of the user, the physiological or clinical data including height, weight, body fat rate, heart rate, body shape, medical history, physical examination information; historical or raw cognitive function assessment information for the user; the brain scan or monitoring data of the user, the brain scan or monitoring data being static and/or dynamic data about the user's brain obtained in an invasive and/or non-invasive manner. According to different application scenarios of the application, the data received by the data receiving function module can reflect the situation level of the cognitive function of the user, for example, which cognitive function object or objects thereof need to be regulated.
The data recognition/evaluation function module is in communication with the data reception function module to receive the data from the data reception function module to determine the cognitive function level or condition of the user based on the data received by the data reception function module, including determining whether the user has a cognitive function level and/or whether the cognitive function level is within an acceptable range.
The data identification/evaluation functional module can directly judge the overall cognitive function condition or level or grade of the user according to the data received by the data receiving functional module; preferably, the cognitive function status or level of the user can be judged by comparing according to the cognitive function norm (the reference standard of the normal state of the cognitive function). According to different application scenarios, the data identification/evaluation function module can implement at least one of the following functions: identifying which one or more of the user's cognitive function objects are at a normal level, below the normal level or above the normal level, thereby assessing the overall level of cognitive function of the user.
Therefore, it can be known from the above description that the data received by the data receiving function module and/or the determination result of the data identification/evaluation function module can reflect which cognitive function object or objects of the user are to be controlled. Further, in the data analysis function module in communication with the data recognition/evaluation function module, at least one cognitive function control tool can be selected from the control tool database of the control device according to the data received by the data reception function module and/or at least one cognitive function object to be controlled of the user reflected by the determination result of the data recognition/evaluation function module, so as to form a personalized cognitive function control scheme corresponding to the user, as shown in fig. 3 and 4.
The modulation device is provided with a modulation tool database comprising a plurality of cognitive function modulation tools, wherein each cognitive function modulation tool is for modulating one or more cognitive function objects, typically each cognitive function modulation tool comprises a plurality of tasks (or task groups). Preferably, the cognitive function modulating tools for different cognitive function subjects typically comprise different tasks (or groups of tasks). After determining the at least one cognitive function object to be modulated by the user, the cognitive function object or objects to be modulated can be used as a target point for cognitive function modulation, so that a corresponding cognitive function modulation tool can be selected according to the target point.
For example, as shown in the following table, if it is determined that the cognitive function object to be modulated includes attention, working memory and inhibition, the data analysis function module may select a cognitive function modulation tool (task group based on GNG, N-back and stroop) for attention, working memory and inhibition, respectively, from the modulation tool database, thereby constituting a personalized cognitive function modulation scheme for the user.
Figure 353787DEST_PATH_IMAGE001
By means of the technical scheme, different personalized cognitive function regulation and control schemes can be formulated for different users respectively, and therefore good technical intervention regulation and control effects are achieved. Furthermore, preferably, as shown in fig. 3, the personalized cognitive function modulation scheme comprises at least one of the following features: the type of the cognitive function regulating tools, the number of the cognitive function regulating tools, the execution sequence of the cognitive function regulating tools, the use strength of the cognitive function regulating tools and the use proportion of the cognitive function training tools. These characteristics as parameter variables can also be adjusted according to the cognitive function object to be controlled by the user.
In order to more thoroughly evaluate and technically intervene in the cognitive function of the user, a plurality of cognitive function objects to be controlled by the user can be preferably used. In this case, as shown in fig. 5, the data analysis function module sets up an individualized numerical analysis model of the plurality of cognitive function objects to be controlled according to the plurality of cognitive function objects to be controlled of the user, and correspondingly forms an individualized cognitive function control scheme according to the individualized numerical analysis model of the plurality of cognitive function objects to be controlled of the user (for example, cognitive function object 1 to cognitive function object n in fig. 5, where n is a natural number greater than or equal to 2), and a logical organization relationship of a plurality of cognitive function control tools (for example, cognitive function control tool 1 to cognitive function control tool n in fig. 5, where n is a natural number greater than or equal to 2) of the individualized cognitive function control scheme matches the individualized numerical analysis model of the plurality of cognitive function objects to be controlled. Therefore, under the optimal condition, the personalized numerical analysis model of the cognitive function objects to be controlled is set for the plurality of cognitive function objects to be controlled of the user, so that the plurality of cognitive function objects to be controlled are analyzed more objectively and in a mode, the data analysis function module can organize the corresponding cognitive function control tools more pertinently, the logical organization relation of the plurality of cognitive function control tools is matched with the personalized numerical analysis model of the plurality of cognitive function objects to be controlled, and the personalized cognitive function control processing is performed on the user more pertinently.
The personalized numerical analysis model of the plurality of cognitive function objects to be regulated is set up by considering the following factors: according to at least one of the defect type and the severity of the cognitive function object to be controlled by the user and the condition of the user in the process of regulating and controlling the cognitive function.
Specifically, the type and severity of the defect of the cognitive function object to be controlled by the user and/or the external expression degree of the user can be determined according to the existing data of the user (including but not limited to the medical scale diagnostic data, the digital tool diagnostic data and the brain electromagnetic scanning data of the user), different weights are set for the cognitive function object to be controlled according to the type and/or severity of the defect, so that the matched cognitive function control tools are correspondingly selected according to the weight conditions, and the type, the use sequence, the duration, the intensity, the proportional relation among different tools and the like of various cognitive function control tools are determined according to different severity.
Alternatively, the order of use, duration of use, intensity of the various cognitive function control tools to be used, and the proportional relationship between the various cognitive function control tools are dynamically adjusted according to historical data and/or real-time data (including but not limited to cognitive characterization data values using the cognitive function control tools, dynamic change amplitude and change speed of the data values, etc.) of the user during cognitive control using different cognitive function control tools. Cognitive characterization data includes, but is not limited to, speed, accuracy, speed and magnitude of change in accuracy using cognitive tools.
For example, after determining a plurality of cognitive function objects to be controlled by a user, weights of different cognitive function objects can be set according to the severity of the cognitive function objects to set up an individualized numerical analysis model of the cognitive function objects, and then a corresponding cognitive function control tool is selected from a control tool library, and a logical organization relationship among the plurality of cognitive function control tools is matched with the individualized numerical analysis model of the weights. For example, as shown in the following table, the cognitive function objects to be controlled may include attention, working memory and inhibition, and the personalized numerical analysis models established based on the severity are respectively 60%, 30% and 10% in weight ratio, and further the weight ratios of the cognitive function control tools GNG, N-back and stroop are also designed to be 60%, 30% and 10% in a matching manner.
Figure 849357DEST_PATH_IMAGE002
When the regulation and control intervention treatment is performed on the cognitive function of the user, the regulation and control device preferably performs an iterative operation mode (as shown in fig. 2 and 4) on the operation mode of the same user, especially in a scene of training the cognitive function of the user. Specifically, the data receiving function module is used for receiving existing data and/or updated cognitive function evaluation data from the user; the data identification/evaluation function module is used for judging the cognitive function level of the user again; the data analysis function module is used for correspondingly forming an updated personalized cognitive function regulation and control scheme aiming at the user according to the updated data received by the data receiving function module and/or at least one to-be-regulated cognitive function object updated by the user and reflected by the updating judgment result of the data identification/evaluation function module.
That is, after the data analysis function module generates the personalized cognitive function regulation and control scheme, the personalized cognitive function regulation and control scheme may be sent to the interactive terminal, and the user executes tasks in each cognitive function regulation and control tool in the personalized cognitive function regulation and control scheme, so that the data receiving function module receives updated cognitive function evaluation data, the data identification/evaluation function module re-determines the cognitive function level of the user, and the data analysis function module correspondingly forms the updated personalized cognitive function regulation and control scheme according to the updated cognitive function object to be regulated and controlled of the user. This is because, after the adjustment and control processing by technical intervention, the cognitive function condition of the user changes accordingly, and it is necessary to adjust the cognitive function adjustment and control scheme for the user in response to the change in the cognitive function of the user before the next round of the cognitive function adjustment and control processing. In the iteration process, the condition for exiting iteration can be designed according to different conditions, for example, if the cognitive function regulation and control scheme is executed (for example, the execution times reach the preset times), the iteration can be exited; or if the data recognition/evaluation function determines that the user's cognitive function level meets a predetermined expectation (e.g., cognitive function is improved to a level at which no further conditioning is required), the iteration can be exited. In addition, in the technical scheme of the application, by using the iterative working mode, an updated regulation and control scheme of the cognitive function regulation and control tool can be correspondingly provided according to the updated personalized numerical analysis model of the cognitive function object to be regulated and controlled.
As described above, in the present application, the control device for cognitive function is provided with a program for realizing the functions described in the present application. Preferably, as shown in fig. 5, the data analysis function module includes an engine, and the engine adaptively makes a personalized cognitive function control scheme having a plurality of cognitive function control tools according to a personalized numerical analysis model of a plurality of cognitive function objects to be controlled of the user. The (analysis) engine as the data analysis function module of the calculation processing unit may be realized by various techniques, and for example, an intelligent engine such as an artificial intelligence AI-based engine, a machine learning-based engine, a deep learning-based engine, or the like may be preferable. For example, computational approaches including, but not limited to, linear/logistic regression, generalized linear mixture models, random decision forests, artificial neural networks, and the like may be employed.
Furthermore, although in the above description, personalized cognitive function control schemes are provided mainly for different users, it can be understood that the present application is not limited to the application for the same user by using the technical scheme of the present application, especially by using (the engine of) the cognitive function control device. As described above, the technical scheme of the application can provide intervention processing of cognitive function regulation and control for a plurality of or a plurality of users at the same time, and after a large number of data samples (such as hundreds, thousands or even tens of thousands, millions and the like) are accumulated, a personalized regulation and control scheme based on a big data analysis technology can be extended by using an engine. For another example, the boundary between different users can be broken, and the cognitive regulation condition of one user is referred to for guiding the personalized cognitive regulation scheme of another user.
In order to more thoroughly and deeply regulate the cognitive function of the user, the cognitive function objects may be preferably classified as follows. Specifically, the cognitive function object includes at least one of memory, attention, learning, emotion, decision and perception, the cognitive function object includes a basic cognitive function object and a specific cognitive function object covered by the basic cognitive function object, and the specific cognitive function objects covered by different basic cognitive function objects are intersected or independent from each other, as shown in fig. 6. By such division, a three-dimensional description image system can be established for the cognitive function object, so that the cognitive function condition of the user can be more accurately and comprehensively described. Although the above description includes the basic cognitive function object and the specific cognitive function object, the application is not limited thereto, and the basic cognitive function object may be further divided based on the specific cognitive function object.
Accordingly, after performing the above exemplary secondary partition on a cognitive function object, the regulatory tool database may include a primary cognitive function regulatory tool corresponding to the basic cognitive function object and a secondary cognitive function regulatory tool corresponding to a specific cognitive function object covered by the basic cognitive function object. Similarly, the secondary cognitive function control tools covered by different primary cognitive function control tools have intersection or mutual independence.
For example, as shown in fig. 6, memory is used as a basic cognitive function object, and the basic cognitive function object may cover a plurality of specific cognitive function objects, including but not limited to long-term memory, working memory, transient memory (or short-term memory), and the like. Learning as another basic cognitive function object, then the basic cognitive function object may cover a plurality of specific cognitive function objects including, but not limited to, reasoning, computing, problem solving, understanding, language, and the like. Or in certain preferred embodiments, learning and memory are combined into one basic cognitive function object. Accordingly, a primary cognitive function control tool for each basic cognitive function object can be included in the cognitive function control tool library; meanwhile, a corresponding secondary cognitive function regulation tool can be designed aiming at the specific cognitive function object of the basic cognitive function object. For example, a corresponding primary regulation and control tool is designed for memory, and a corresponding secondary regulation and control tool is respectively designed for specific cognitive function objects covered by memory, such as long-term memory, working memory, transient memory and the like.
Accordingly, on this basis, as shown in fig. 6, the engine includes: the main engine is used for adaptively formulating an individualized cognitive function regulation and control scheme which is matched with the basic cognitive function objects to be regulated and controlled and/or a certain basic cognitive function object according to the individualized numerical analysis model of the basic cognitive function objects to be regulated and controlled of the user. That is, the main engine is used for adaptively matching the primary cognitive function regulation and control tool according to the personalized numerical analysis model of the basic cognitive function object on the basic cognitive function object level. In some application scenarios, the need for user cognitive function regulation may already be met. In a scenario where more precise regulation and control of cognitive functions are required, the engine preferably further includes a slave engine, and the slave engine is configured to adaptively make a personalized cognitive function regulation and control scheme with a plurality of secondary cognitive function regulation and control tools, which is matched with the slave engine, according to a specific cognitive function object covered by a plurality of basic cognitive function objects to be regulated and controlled by the user and/or a personalized numerical analysis model of a certain basic cognitive function object. Therefore, in this preferred case, in addition to performing matching scheduling on the primary cognitive function control tool at the basic cognitive function object level, the secondary cognitive function control tool may also be adaptively matched and scheduled at the specific cognitive function object level.
As described above, in the technical solution of the present application, a cognitive function regulation and control scheme including a cognitive function regulation and control tool, which is matched with the personalized numerical analysis model, may be composed for the personalized numerical analysis model of the cognitive function object. However, the coverage of the present application is not limited thereto, and besides the cognitive function adjustment and control tools can be adaptively matched, a plurality of tasks and parameters thereof of each cognitive function adjustment and control tool can also be adaptively matched according to the personalized numerical analysis model of the cognitive function object, so as to achieve more accurate and comprehensive cognitive function adjustment and control intervention processing. For example, parameters of at least one task in the cognitive function control tool can be adaptively matched with personalized numerical analysis models of a plurality of cognitive function objects to be controlled of the user, such as sequence, duration, speed of display and the like of the task.
The control system and the control device for cognitive function provided in the present application are described in detail above. As shown in fig. 7, the present application further provides a method for controlling cognitive functions, including: receiving existing data and/or cognitive function assessment data from at least one user; judging the cognitive function level of the user according to the data received by the data receiving function module; and selecting at least one cognitive function regulation and control tool according to the data received by the data receiving function module and/or at least one cognitive function object to be regulated and controlled of the user reflected by the judgment result of the data identification/evaluation function module so as to correspondingly form a personalized cognitive function regulation and control scheme aiming at the user. Although the control method is not described in detail individually, the control method for cognitive functions is naturally also explained fully indirectly through the above detailed description of the control system and the control device, so that the preferred technical features of the cognitive control system and the device can be combined into the basic scheme of the control method shown in fig. 7, thereby forming the preferred control method for cognitive functions, as shown in fig. 8. The method variant shown in fig. 8 is not described in detail here.
The cognitive function regulation and control device can specifically make an individual cognitive function regulation and control scheme according to the individual cognitive function condition of a user, the cognitive function regulation and control scheme comprises a plurality of cognitive function regulation and control tools for different cognitive function objects, and each cognitive function regulation and control tool can comprise a plurality of tasks. The parameters of the control task can also be individually selected and designed, and will be explained in connection with the application of attention stimulation.
Fourth, the application of the regulation and control system, device and method of cognitive function
As described above, the technical solutions of the present application can be regarded as the technical field of "digital medicine", and therefore the scope of protection of the present application covers not only the technical solutions themselves but also the uses of the technical solutions. In particular, the application of the cognitive function regulating and controlling device in cognitive function deficiency; the application of the cognitive function regulation and control system in recognizing functional defects; the method for regulating and controlling the cognitive function is applied to cognitive function deficiency.
The cognitive function deficiencies include: at least one of a perception defect, a memory defect, and a thought defect. For example, the cognitive function deficit may be: attention Deficit and Hyperactivity Disorder (ADHD), Traumatic Brain Injury (TBI), prion disease dementia, Parkinson's disease, cerebral amyloid angiopathy, Huntington's disease or other neurodegenerative disease, autism spectrum impairment (ASD), Sensory Processing Deficiency (SPD), Mild Cognitive Impairment (MCI), Alzheimer's Disease (AD), schizophrenia, depression, anxiety, learning or memory deficiency, adult attention deficit, loss of speech, or loss of cognition.
In the technical solution of the present application, cognitive function deficiency generally means that cognitive function is deviated from a normal pattern in a certain subject, and if the deviation is too large to be serious, it can be regarded that cognitive dysfunction exists. Here, the "normal" of the cognitive function may refer to a reference standard in a normal state for a certain cognitive function object, or may refer to a normal execution parameter, such as accuracy and speed, when a certain task is executed in a cognitive function tool.
According to the technical scheme of the application, when the regulation and control system with cognitive function is used for carrying out regulation and control intervention treatment on a user, the method is mainly suitable for the following operation processes:
first, a (primary) screening test is performed on the user. The method is used for judging whether the user has cognitive function defects or even cognitive dysfunction, particularly judging which type or subtype of cognitive function defects exist, namely which cognitive function objects of the user have problems, thereby providing a basis for selecting which cognitive function regulating tools for a subsequent personalized cognitive function regulating scheme.
And then, providing an individualized cognitive function regulation and control scheme for the user according to the individualized numerical analysis model of the cognitive function object to be regulated and controlled. According to the result of the screening test, the specific conditions of the individual numerical analysis model of the cognitive function objects corresponding to the cognitive function defects of the user are known, so that the data analysis function module can organize the cognitive function tool combination matched with the individual numerical analysis model of the cognitive function objects. For example, personalized cognitive function regulation schemes may be provided according to adaptive algorithms (and/or based on big data analysis models, predictive models, etc.) supported by machine learning algorithms, deep learning algorithms, or other artificial intelligence techniques. It is equivalent to providing the user with a personalized stimulation training 'prescription' according with the specific cognitive function condition of the user.
Then, the personalized cognitive function regulation and control scheme is provided for the user to execute, and a stimulation training stage is started. At this stage, the user may execute a plurality of tasks or task groups of the cognitive function control tool through the task interaction terminal receiving the personalized cognitive function control scheme. After the stimulation training is completed, the cognitive function of the user may be evaluated or tested again (iterative mode of operation).
And then entering an evaluation stage. At this stage, the cognitive function of the user is evaluated by using the cognitive regulation and control device provided by the application, so as to judge whether the cognitive function (or the previously regulated cognitive function object) of the user is improved or not through data. The evaluation phase can be realized by adopting technical means or technical schemes similar to those in the screening test phase.
As can be seen from the above description, the cognitive function control scheme provided by the present application can screen (screen) a user on multiple objects of cognitive functions (and their internal logical organization relationships), provide an individualized cognitive function processing scheme, perform stimulation training, and evaluate the effects of stimulation training, thereby forming a closed-loop feedback logical loop, and providing an individualized cognitive function technical intervention scheme and means at any time or in real time according to the current actual cognitive function condition of the user.
The following will focus on explaining another important subject provided by the present application: attention stimulation of cognitive function regulation and display method thereof. The attention stimulus and the display method thereof are combined with the regulation task in the cognitive function regulation scheme, so that a better regulation effect is obtained. The regulation scheme is preferably a cognitive function regulation method provided by the cognitive function regulation device or system of the present application, but the present application is not limited thereto, and may also be a regulation task in a cognitive function regulation scheme provided by other means. The features of the regulatory devices, systems and methods relating to cognitive function described above may preferably be combined directly with the technical solutions of attention stimulation and its presentation in the cognitive function regulation protocols described below. Therefore, the same or similar technical features as those of the above-mentioned regulation method will be briefly described, and the related features related to the attention stimulation will be specifically described and illustrated in detail.
Fifth, attention stimulation display system and display method of cognitive function regulation scheme
The present application provides a display system of attention stimulation of a cognitive function regulation scheme, wherein the display system comprises: and the cognitive task interaction device receives and displays the cognitive function regulation and control scheme, the cognitive regulation and control scheme comprises a cognitive function regulation and control tool with a plurality of regulation and control tasks, and the attention stimulus is set in the regulation and control tasks. Here, "regulation" covers the screening, identification, training and assessment of cognitive function, although explained in the following and related figures as a training phase, the application is not limited to a training phase.
Preferably, the display system is used as a cognitive function control system, as shown in fig. 9, the display system of attention stimulation of the cognitive function control scheme may be used as a cognitive function training system in a training phase, and includes:
a cognitive function training (regulating) device comprising:
the cognitive function evaluation module is used for judging the cognitive function level of the user according to the existing data and/or cognitive function evaluation data of at least one user;
the cognitive function analysis module selects a plurality of cognitive function training (regulating) tools from a training (regulating) tool database according to a plurality of cognitive function objects to be trained of the user, which are reflected by the judgment result of the cognitive function evaluation module, so as to correspondingly form an individualized cognitive function training (regulating) scheme aiming at the user; and
and the cognitive task interaction device or the cognitive task interaction module is used for receiving and displaying the personalized cognitive function training (regulating) scheme for the user to interactively execute.
As described above, although the cognitive function modulation scheme is preferably provided by the above-described cognitive function modulation system or device provided herein, the present application is not limited thereto, and the above-described attention stimuli may be applied to the modulation tasks of various suitable cognitive function modulation schemes.
In the cognitive function training (regulation) system and the training (regulation) method thereof of the present application (as described above, as the above display system and the display method), the above cognitive function training (regulation) device is used to formulate an individualized cognitive function training (regulation) scheme that matches the cognitive function object to be trained (regulated) by the user, and a plurality of cognitive function training (regulation) tools of the individualized cognitive function training scheme match or correspond to the cognitive function object to be trained (regulated), so as to obtain a good pertinence and expect a good training (regulation) effect. Preferably, as shown in fig. 10 and 11, the cognitive function analysis module sets up an individualized numerical analysis model of the plurality of cognitive function objects to be trained (regulated) according to the plurality of cognitive function objects to be trained (regulated) by the user, and correspondingly forms an individualized cognitive training scheme according to the individualized numerical analysis model of the plurality of cognitive function objects to be trained (regulated) by the user, where a logical organization relationship of a plurality of cognitive function training (regulation) tools of the individualized cognitive training scheme matches the individualized numerical analysis model of the plurality of cognitive function objects to be trained (regulated). The protocol and process may be described in detail with reference to the above-described regulatory devices of cognitive function. Preferably, a training (regulatory) data receiving module is also included for receiving existing data and/or cognitive function assessment or previous training (regulatory) data from at least one user.
And the cognitive task interaction device or the cognitive task interaction module receives and displays the personalized cognitive function training (regulating) scheme for the user to interactively execute, or is only used for providing the stimulation task in the cognitive function training (regulating) scheme for the user. The cognitive task interaction device or the cognitive task interaction module may have various forms, similar to the above interaction terminal, for example, may be but not limited to a smart phone, a tablet computer, a notebook computer, a desktop computer, an earphone with an interaction function, a display, glasses, an augmented reality device, and a virtual reality device. In addition, the cognitive task interaction device or the cognitive task interaction module may be in the form of the physical terminal, or may be in the form of a software terminal, such as an APP or an application program.
In the training phase, it is more important to show or output a personalized cognitive function training (control) scheme to the user. Since the personalized cognitive function training (regulating) scheme includes at least one cognitive function training (regulating) tool, and the cognitive function training (regulating) tool generally includes a plurality of training (regulating) tasks, the combination of the training (regulating) tasks and various parameters thereof (such as display sequence, intensity, execution difficulty, stimulation time, interval time, display speed, and the like) are important. In the technical scheme of the application, the logical organization relationship of the cognitive function training (regulating) tool and the numerical analysis model of the cognitive function object to be trained of the user have a corresponding matching relationship, so that a personalized training (regulating) scheme with strong pertinence is provided for the user. On this basis, the plurality of training (control) tasks and the logical organization relationship of each cognitive function training (control) tool preferably have a corresponding matching relationship with the numerical analysis model of the cognitive function object to be trained (controlled) of the user, so that the matching and pertinence are further obtained.
Fig. 12 is a schematic diagram illustrating an exemplary process of training (regulating) by the training (regulating) system. As shown in the figure, according to the existing data and/or cognitive function evaluation data of the trainer, the cognitive function level or condition of the user or the trainer can be judged, and a plurality of cognitive function objects to be trained (regulated) are determined, so that a plurality of cognitive function training (regulating) tools can be selected in a targeted manner to form a personalized cognitive function training scheme aiming at the user or the trainer. When the cognitive task interaction device or the cognitive task interaction module presents the training scheme to the user, the training data acquisition device may be used to acquire and count the execution data of the training (regulation) task, so as to serve as the input data (such as updated cognitive function evaluation data) in the next iteration operation.
Preferably, as shown in fig. 13, the cognitive function training (regulatory) tool of the cognitive function training (regulatory) scheme includes a plurality of training (regulatory) tasks with attention stimulus (CUE). In other words, the attention stimulus is set in the regulatory task; in presentation, the attentive stimuli are placed in the regulatory task for presentation. The attention stimulus means a stimulus signal additionally displayed or outputted to the user for asking the user to pay attention during the user's training (control) task of the cognitive function training tool.
In the technical solution of the present application, the training (regulation) task of the cognitive function training tool may include: and the cognitive task interaction device displays the parallel tasks and/or the cognitive training tasks according to a preset flow sequence or simultaneously, as shown in figures 12 and 13.
The cognitive training task is a training (control) task in which a user can train a cognitive function object corresponding to the user when the user executes the cognitive training task. The parallel task is not mainly directed to the cognitive function object of the user, but can be arranged in the same cognitive function training tool or cognitive function training scheme with the cognitive training task, and is used in cooperation with the cognitive training task for the user to execute so as to provide support for training of the preset cognitive function object.
The cognitive training tasks in the cognitive training tool may be of various types, such as cognitive training tasks based on cognitive training tools like GNG, Flanker, Simon, Stroop, Stop signal, NBack, etc. Parameters of training tasks of the cognitive training tools are adjustable, and the parameters of the cognitive training tasks comprise at least one of names, types, targeted cognitive function objects, execution sequence, interval time, execution duration and execution intensity of the cognitive training tasks. The parameters of the training (regulating) task of the cognitive training tool are designed to be adjustable, so that the corresponding matching relation between the cognitive training scheme and the cognitive function object to be trained of the user can be realized, and a good cognitive function training effect is obtained.
The parallel mission may be of various types, for example, including at least one of racing, stilling, obstacle avoidance, and chasing a target. The parameters of the parallel tasks are preferably adjustable, so that the corresponding matching relationship between the cognitive training scheme and the cognitive function object to be trained by the user can be realized. According to different types of parallel tasks, the parameters of the parallel tasks can comprise accuracy, execution speed, difficulty degree, driving speed, gravity acceleration, the number of obstacles, the arrangement positions of the obstacles, the number of targets, the distance of the targets, the appearance intervals of the targets and the time from appearance to disappearance of the targets.
The training (conditioning) tasks described above, including parallel tasks and/or cognitive training tasks, preferably include stimuli or stimulus signals. The stimulus or stimulation signal is a stimulation signal that is sensed by the sensory system of the user and acts on the brain, and includes at least one of visual stimulation, auditory stimulation, audio-visual stimulation, tactile stimulation, gustatory stimulation, olfactory stimulation, skin stimulation, temperature stimulation, fluid stimulation, vibration stimulation, and blur stimulation. The parameters of the stimulus include: at least one of duration, interval time, shape, sensitivity, intensity. Preferably, the parameters of the stimulation are adjustable, so that the corresponding matching relationship between the cognitive training scheme and the cognitive function object to be trained by the user can be realized.
In the technical solution of the present application, the attention stimuli is designed in the training (regulation) task because: in the execution process of the training (regulation) task, the brain of the user always needs certain process and time from receiving the training (regulation) task to analyzing the training task and then to starting to execute the training task; outputting the attention stimulus to the user or trainer before the training task begins or before certain parameters change during the training task, the user's brain is activated in advance, so that the user is aware of the subsequent training (control) task and maintains the activation of the prefrontal cortex during the subsequent training (control) task. The cognitive control process from top to bottom can enable the brain network to be in an activated state from the perspective of stimulation training, strengthen the processing capacity of subsequent stimulation training and be beneficial to improving the cognitive function of a user.
Note that the stimulus may have a variety of forms, and may include, for example, at least one of a visual stimulus signal, an auditory stimulus signal, an audiovisual stimulus signal, a tactile stimulus signal, a gustatory stimulus signal, an olfactory stimulus signal, a skin stimulus signal, a temperature stimulus signal, a fluid stimulus signal, a vibration stimulus signal, a blur stimulus signal, an electrical stimulus signal. The selected combination mode of the attention stimulation and/or the parameter of the attention stimulation are adjustable, so that the attention stimulation is adaptive to the personalized numerical analysis model of a plurality of cognitive function objects to be trained of the user. Note that the parameters of the stimulus may include at least one of signal type, presentation order, presentation location, presentation time, presentation shape, presentation size, presentation color, presentation collateral information.
In the preferred cognitive training scheme of the present application, the cognitive task interaction device or the cognitive task interaction module displays training tasks (including parallel tasks and/or cognitive training tasks) simultaneously or sequentially according to a predetermined program, and according to different application scenarios, the attention stimuli may be arranged at different display positions relative to the training (regulatory) tasks. The attention stimulus appears before the regulatory task (very short time interval), the time interval between the attention stimulus and the regulatory task is random or adaptively adjustable, the time interval is 0-5 seconds, and the attention stimulus is continued to exist, gradually disappears or disappears immediately when the regulatory task appears.
For example, as shown in fig. 13, the attention stimulus may be shown in the leading position of the training task. That is, the attention stimulus is presented first, and then the training task is presented, so that the user's brain is made aware of the training (conditioning) task to be performed later in advance. As another example, the attention stimuli may be presented at spaced locations between different ones of the training (regulatory) tasks. That is, in the training (control) task execution process, after the execution of one task is completed, the attention stimulus is presented before the preparation for the execution of another task, so that the brain of the user is made aware of the transition of the training (control) task in advance. As another example, the attention stimulus may be shown at spaced locations in the training (regulatory) task before and after the same task but with at least one parameter thereof changed. That is, during the execution of the same one of the training (conditioning) tasks, the attention stimuli are presented before their parameters are adjusted, so that the user's brain is made aware in advance that the parameters of the task are to be adjusted.
It should be noted that the cognitive function training tool of the cognitive function training scheme may include a plurality of attention stimuli, and the display position and parameters of each attention stimulus may be the same or different. Moreover, as described above, the training (regulatory) tasks of the cognitive function training tool and their attention stimuli may be updated or adjusted during the iterative run.
The application also provides a display method of attention stimulation of the cognitive function regulation scheme, the cognitive function regulation scheme comprises a cognitive function regulation tool with a plurality of regulation tasks, and the display method comprises the step of setting the attention stimulation in the regulation tasks for display.
Preferably, as shown in fig. 12 and 13, the cognitive function modulation scheme is provided by: judging the cognitive function level of at least one user according to the existing data and/or cognitive function evaluation data of the user; selecting a plurality of cognitive function training tools according to a plurality of cognitive function objects to be trained of the user, which are reflected by the judgment result of the cognitive function evaluation module, so as to correspondingly form an individualized cognitive function training scheme aiming at the user; and receiving and displaying the personalized cognitive function training scheme for the user to interactively execute, wherein a cognitive function training tool of the cognitive function training scheme comprises a plurality of training tasks with attention stimulation. Preferably, the method for providing a cognitive function modulation scheme comprises: and setting an individualized numerical analysis model of the plurality of cognitive function objects to be regulated according to the plurality of cognitive function objects to be regulated of the user, correspondingly forming an individualized cognitive regulation scheme according to the individualized numerical analysis model of the plurality of cognitive function objects to be regulated of the user, wherein the logical organization relations of a plurality of cognitive function regulation tools of the individualized cognitive regulation scheme are matched with the individualized numerical analysis models of the plurality of cognitive function objects to be regulated.
As shown in fig. 13, when a training (control) task is displayed in the cognitive task interaction device or the cognitive task interaction module, the training (control) task may include a parallel task and a cognitive training task, and meanwhile, different application scenarios may display attention stimuli at appropriate time or position. When a user or a trainer performs a training (control) task, data of the training (control) task execution, such as a correct rate, an error rate, a used time and the like, can be collected and analyzed, and can be used for input data of the next iteration, so that an updated cognitive function training (control) scheme is formed. The training may also be ended if the end of training condition is satisfied.
Sixthly, examples
Examples of the cognitive function regulating device and system in regulating are exemplarily shown below with reference to fig. 14 to 27, and also serve to illustrate the above-mentioned attention stimulation display.
As shown in fig. 14, a personalized cognitive function training (control) scheme for a user may be presented to the user on a cognitive task interaction module (or interaction terminal, cognitive task interaction device), and the scheme includes a plurality of cognitive function training tools, such as a racing vehicle training tool and an animal recognition training tool.
First, a plurality of training tasks of the racing training tool are entered, as shown in fig. 15 and 16, after the countdown is completed, for example, from 3 to 1, and a "GO" command is issued, the training (control) tasks of the racing training tool are started.
As shown in fig. 17 to 22, in the racing training tool, the movement of the racing car is controlled to be parallel, and the virtual circle shape displayed in the road is required to be collided with the circle shape as much as possible.
Meanwhile, the user also needs to execute a cognitive training task for managing the electric quantity of the racing car, and no matter how the electric quantity of the racing car is, when the cognitive training task is displayed, for example, when a green battery icon appears, the user needs to touch any position of the screen so as to acquire the green battery, and when batteries with other colors (for example, orange) appear, the user cannot touch the screen. This can be used to train the user's attention to cognitive function objects as well as suppressed cognitive function objects. In the process of executing each task, statistics may be performed in real time on the condition or data of executing the task, such as the number of times of colliding a virtual circle shape (as shown in fig. 17), the number of times of acquiring a battery (equivalent to charging), the speed of racing a car, the reaction speed of a user, and the like, and real-time analysis is performed based on the statistical data, so as to adaptively adjust the frequency and the number of times of occurrence of each parameter, for example, the speed of racing a car is slowed down or accelerated, green batteries are densely or sparsely appeared, and the arrangement positions of the circles are regular or irregular.
As shown in FIG. 19, a pattern, such as a circle, at the front end of the game, i.e., a notice stimulus, is used to alert the user to the subsequent appearance of a new training session or change thereto.
As shown in fig. 22. In addition, in various embodiments, the number of tracks may be increased, the number of competitors for a race car may be increased, etc., to adjust the corresponding parameters of the mission.
As shown in fig. 23, a countdown may also be displayed when another cognitive function training tool is replaced.
As shown in fig. 23 to 25, the animal recognition training tool is mainly directed to cognitive function objects of working memory. The voice can be sent out to inform the user of the animal needing to be identified, and then the corresponding animal image is selected from the displayed plurality of animal images by the user.
After the tasks in each tool of the cognitive function training scheme in one iteration are completed, the technical scheme of the application reevaluates the cognitive function of the user according to the training condition, and then provides an updated cognitive function training scheme in the next iteration, as shown in fig. 26 and 27, an updated or different cognitive function training tool can be selected, or the parameters of a certain cognitive function training tool can be adjusted.
The attention stimulation is not necessary, and by comparing the execution conditions of the cognitive function training scheme designed with the attention stimulation type with the execution conditions of the cognitive function training scheme without the attention stimulation type, it can be found that the attention stimulation is combined in the cognitive function training scheme, so that the reaction time of the user can be reduced, the reaction speed can be increased, and the inhibition capability of the user can be remarkably improved.
Seventh, application of attention stimulation display system and method of cognitive function regulation scheme in cognitive function deficiency
Similar to the application of the cognitive function control device to cognitive function deficiency, the application of the attention stimulation and the display method of the cognitive function control scheme provided by the application to cognitive function deficiency is also included in the scope of the application. The cognitive function deficiencies include: at least one of a perception defect, a memory defect, and a thought defect. For example, the cognitive function deficit may be: ADHD, Traumatic Brain Injury (TBI), prion disease dementia, Parkinson's disease, cerebral amyloid angiopathy, Huntington's disease or other neurodegenerative diseases, Autism Spectrum Deficiency (ASD), Sensory Processing Deficiency (SPD), Mild Cognitive Impairment (MCI), Alzheimer's Disease (AD), schizophrenia, depression, anxiety, learning or memory deficiency, adult attention deficit, loss of speech, or loss of cognition.
Eight, storage medium
The present application also provides the subject matter of a storage medium comprising a processor and a memory for performing the above-described method of regulation of cognitive functions and/or method of presentation of attention stimuli when run.
The preferred embodiments of the present application have been described in detail above, but the present application is not limited to the specific details of the above embodiments, and various simple modifications can be made to the technical solution of the present application within the technical idea of the present application, and these simple modifications all belong to the protection scope of the present application.
It should be noted that, in the foregoing embodiments, various features described in the above embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, various possible combinations are not described in the present application.
In addition, any combination of the various embodiments of the present application is also possible, and the same should be considered as disclosed in the present application as long as it does not depart from the idea of the present application.

Claims (31)

1. A regulatory device of cognitive function, the regulatory device comprising:
the data receiving function module is used for receiving existing data and/or cognitive function evaluation data from at least one user;
the data identification/evaluation functional module is used for judging the cognitive function level of the user according to the data received by the data receiving functional module;
and the data analysis function module is used for selecting at least one cognitive function regulation and control tool from a regulation and control tool database of the regulation and control device according to at least one cognitive function object to be regulated and controlled of the user, which is reflected by the data received by the data receiving function module and/or the judgment result of the data identification/evaluation function module, so as to correspondingly form an individualized cognitive function regulation and control scheme aiming at the user.
2. The regulatory device of claim 1, wherein the personalized cognitive function regulatory regimen comprises at least one of the following features: the type of the cognitive function regulating tools, the number of the cognitive function regulating tools, the execution sequence of the cognitive function regulating tools, the use strength of the cognitive function regulating tools and the use proportion of the cognitive function training tools.
3. The apparatus for controlling cognitive functions according to claim 1, wherein the data analysis function module sets up an individualized numerical analysis model of the plurality of cognitive function objects to be controlled according to the plurality of cognitive function objects to be controlled of the user, and correspondingly forms an individualized cognitive function control scheme according to the individualized numerical analysis model of the plurality of cognitive function objects to be controlled of the user, and the logical organization relationship of the plurality of cognitive function control tools of the individualized cognitive function control scheme is matched with the individualized numerical analysis model of the plurality of cognitive function objects to be controlled.
4. The cognitive function control device according to claim 3, wherein the personalized numerical analysis model of the plurality of cognitive function objects to be controlled is established by considering at least one of the following factors: according to at least one of the defect type and the severity of the cognitive function object to be controlled by the user and the condition of the user in the process of regulating and controlling the cognitive function.
5. The cognitive function regulating device according to claim 1, wherein the existing data from the at least one user comprises at least one of:
the background data of the user, the background data comprises identity information, age, gender, native language, education condition and family condition;
physiological or clinical data of the user, the physiological or clinical data including height, weight, body fat rate, heart rate, body shape, medical history, physical examination information;
historical or raw cognitive function assessment information for the user;
the brain scan or monitoring data of the user, the brain scan or monitoring data being static and/or dynamic data about the user's brain obtained in an invasive and/or non-invasive manner.
6. The cognitive function control device according to claim 1, wherein the control device is configured to operate in an iterative manner for the same user,
the data receiving function module is used for receiving the existing data and/or updated cognitive function evaluation data from the user,
the data identification/evaluation function module is used for judging the cognitive function level of the user again,
the data analysis function module is used for correspondingly forming an updated personalized cognitive function regulation and control scheme aiming at the user according to the updated data received by the data receiving function module and/or at least one to-be-regulated cognitive function object updated by the user and reflected by the updating judgment result of the data identification/evaluation function module.
7. The device for regulating and controlling cognitive functions according to claim 3, wherein the data analysis function module comprises an engine, and the engine adaptively makes a personalized cognitive function regulating and controlling scheme with a plurality of cognitive function regulating and controlling tools according to a personalized numerical analysis model of a plurality of cognitive function objects to be regulated and controlled of the user.
8. The regulation and control device of cognitive function according to claim 7, wherein the cognitive function objects comprise at least one of memory, attention, learning, emotion, decision and perception, the cognitive function objects comprise basic cognitive function objects and specific cognitive function objects covered by the basic cognitive function objects, and the specific cognitive function objects covered by different basic cognitive function objects are intersected or independent,
the regulatory tool database includes primary cognitive function regulatory tools corresponding to the basic cognitive function objects and secondary cognitive function regulatory tools corresponding to specific cognitive function objects covered by the basic cognitive function objects.
9. The cognitive function regulating device according to claim 8, wherein the engine comprises: the main engine is used for adaptively formulating an individualized cognitive function regulation and control scheme which is matched with the main engine and is provided with a plurality of primary cognitive function regulation and control tools according to the individualized numerical analysis model of a plurality of basic cognitive function objects to be regulated and controlled of the user.
10. The apparatus for conditioning cognitive functions according to claim 9, wherein the engine further comprises a slave engine for adaptively making a customized cognitive function conditioning scheme having a plurality of secondary cognitive function conditioning tools according to a customized numerical analysis model of a specific cognitive function object covered by a plurality of basic cognitive function objects to be conditioned of the user.
11. A device for modulating cognitive function as defined in claim 3, wherein the cognitive function modulating tool protocol comprises a plurality of tasks, at least one task having parameters adaptively matched to a personalized numerical analysis model of a plurality of cognitive function objects of the user to be modulated.
12. The regulation and control system of cognitive function, this regulation and control system of cognitive function includes:
a regulatory device of cognitive function, the regulatory device of any one of claims 1-11;
and the interactive terminal receives the personalized cognitive function regulation and control scheme from the regulation and control device and provides the personalized cognitive function regulation and control scheme for at least one user to interactively execute.
13. The system for controlling cognitive functions according to claim 12, wherein the interactive terminal transmits data of the at least one user performing his/her personalized cognitive function control scheme to the data receiving function module; and/or
The regulation and control system comprises a data acquisition terminal, wherein the data acquisition terminal acquires data of at least one user executing an individualized cognitive function regulation and control scheme and sends the acquired data to the data receiving function module.
14. The system for regulating and controlling cognitive functions according to claim 13, wherein at least two of the interactive terminal, the data acquisition terminal and the cognitive function regulating and controlling device are integrally arranged; or
The interactive terminal, the data acquisition terminal and the cognitive function regulation and control device are respectively and independently arranged.
15. The system for controlling cognitive function according to claim 13, wherein,
the interactive terminal comprises a smart phone, a tablet personal computer, a notebook computer, a desktop computer, an earphone with an interactive function, a display, glasses, augmented reality equipment and virtual reality equipment; or
The data acquisition terminal comprises a gyroscope, an accelerometer, a speedometer, a motion sensor, a pressure sensor, an optical sensor, an audio acquisition device, a video acquisition device, an auditory sensor, a vibration sensor and a brain scanning or monitoring instrument.
16. A method of modulating cognitive function, the method comprising:
receiving existing data and/or cognitive function assessment data from at least one user;
judging the cognitive function level of the user according to the data received by the data receiving function module;
and selecting at least one cognitive function regulation and control tool according to the data received by the data receiving function module and/or at least one cognitive function object to be regulated and controlled of the user reflected by the judgment result of the data identification/evaluation function module so as to correspondingly form a personalized cognitive function regulation and control scheme aiming at the user.
17. The method of modulating cognitive function of claim 16, wherein the personalized cognitive function modulation scheme comprises at least one of the following features: the type of the cognitive function regulating tools, the number of the cognitive function regulating tools, the execution sequence of the cognitive function regulating tools, the use strength of the cognitive function regulating tools and the use proportion of the cognitive function training tools.
18. The method of claim 16, wherein an individualized model for analyzing the cognitive functions of the user is established according to the cognitive functions of the user, and an individualized cognitive function control scheme is correspondingly composed according to the individualized model for analyzing the cognitive functions of the user, and the logical organization relationship of the cognitive function control tools of the individualized cognitive function control scheme is matched with the individualized model for analyzing the cognitive functions of the user.
19. The method of controlling cognitive function according to claim 18, wherein the personalized numerical analysis model of the plurality of cognitive function objects to be controlled is set up by considering at least one of the following factors: according to at least one of the defect type and the severity of the cognitive function object to be controlled by the user and the condition of the user in the process of regulating and controlling the cognitive function.
20. The method of claim 16, wherein the operation mode of the same user is an iterative operation mode,
the regulation and control method further comprises the following steps:
receiving existing data and/or updated cognitive function assessment data from the user,
re-determining the cognitive function level of the user,
and correspondingly forming an updated personalized cognitive function regulation and control scheme aiming at the user according to the updated at least one cognitive function object to be regulated and controlled of the user reflected by the updated data and/or the updated cognitive function level judgment result.
21. The method of claim 18, further comprising adaptively formulating a customized cognitive function control scheme having a plurality of cognitive function control tools according to the customized numerical analysis model of the user's cognitive function objects to be controlled.
22. The method of regulating cognitive function according to claim 21, wherein,
the cognitive function objects comprise at least one of memory, attention, learning, emotion, decision and perception, the cognitive function objects comprise basic cognitive function objects and specific cognitive function objects covered by the basic cognitive function objects, the specific cognitive function objects covered by different basic cognitive function objects have intersection or are mutually independent,
the cognitive function regulation tools include a primary cognitive function regulation tool corresponding to the basic cognitive function object and a secondary cognitive function regulation tool corresponding to a specific cognitive function object covered by the basic cognitive function object.
23. The method of claim 22, wherein the method comprises: and adaptively formulating an individualized cognitive function regulation and control scheme which is matched with the individualized numerical analysis model of the basic cognitive function objects to be regulated and controlled of the user and has a plurality of primary cognitive function regulation and control tools.
24. The method of claim 23, wherein the method further comprises adaptively formulating a customized cognitive function control scheme with a plurality of secondary cognitive function control tools according to a customized numerical analysis model of a specific cognitive function object covered by a plurality of basic cognitive function objects to be controlled of the user.
25. The method of claim 18, wherein the cognitive function modification tool solution comprises a plurality of tasks, and parameters of at least one task are adaptively matched to a personalized numerical analysis model of a plurality of cognitive function objects of the user to be modified.
26. Storage medium comprising a processor and a memory for performing, when running, the method of regulating cognitive functions of any one of claims 16-25.
27. A terminal, which is an interactive terminal or a data acquisition terminal, wherein the interactive terminal or the data acquisition terminal is in communication with a regulation and control device of cognitive function, wherein the regulation and control device of cognitive function is the regulation and control device of any one of claims 1 to 11.
28. The terminal of claim 27, wherein the interactive terminal or data collection terminal is in one of the following forms: data processing apparatus, computer keyboard, mouse, electronic publication, downloadable computer program, downloadable music file, portable computer, downloadable computer application software, interactive touch screen terminal, human-based robot with artificial intelligence, downloadable electronic music book, personal digital assistant, thin client computer, recorded or downloadable computer screen saver software, wearable computer, data glove, downloadable computer game software, smart eye, smart watch, smart ring, downloadable cell phone application software, video phone, global positioning system device, wearable action tracker, smart phone case, jewelry-type communication device, non-medical monitoring device, headset, head-mounted virtual reality device, earphone, non-medical diagnostic device, strobe, the system comprises an online bracelet, medical instruments and instruments, a medical analysis instrument, a medical tester, medical diagnostic equipment and a medical body rehabilitation instrument.
29. Use of a device, system or method for controlling cognitive function in the management of a deficit in cognitive function, wherein the device, system or method for controlling cognitive function is a device for controlling cognitive function according to any one of claims 1 to 11, the system for controlling cognitive function is a system for controlling cognitive function according to any one of claims 12 to 15, and the method for controlling cognitive function is a method for controlling cognitive function according to any one of claims 16 to 25.
30. Use of a cognitive function regulating device, regulating system or regulating method according to claim 29 in a cognitive function deficit, wherein the cognitive function deficit comprises: at least one of a perception defect, a memory defect, and a thought defect.
31. Use of a cognitive function regulating device, regulating system or regulating method according to claim 30 in a cognitive function deficit, wherein the cognitive function deficit is: attention deficit and hyperactivity disorder, traumatic brain injury, prion disease dementia, parkinson's disease, cerebral amyloid angiopathy, huntington's disease or other neurodegenerative disease, autism spectrum deficit, sensory processing deficit, mild cognitive impairment, alzheimer's disease, schizophrenia, depression, anxiety, learning or memory deficit, adult attention deficit, loss of speech, or loss of cognition.
CN202111222946.9A 2020-11-25 2021-10-20 Cognitive function regulation and control device, system and method, storage medium and terminal Active CN113658705B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202111316100.1A CN113948212A (en) 2020-11-25 2021-10-20 Cognitive function training system and method
PCT/CN2021/133253 WO2022111597A1 (en) 2020-11-25 2021-11-25 Cognitive function regulation device, system, and method, application thereof in cognitive function deficits, storage medium, terminal, and cognitive function training system and method

Applications Claiming Priority (6)

Application Number Priority Date Filing Date Title
CN2020113372099 2020-11-25
CN202011337209.9A CN112465139A (en) 2020-11-25 2020-11-25 Cognitive training method, system and storage medium
CN2021110097569 2021-08-31
CN202111009748 2021-08-31
CN202111009756 2021-08-31
CN2021110097484 2021-08-31

Related Child Applications (1)

Application Number Title Priority Date Filing Date
CN202111316100.1A Division CN113948212A (en) 2020-11-25 2021-10-20 Cognitive function training system and method

Publications (2)

Publication Number Publication Date
CN113658705A true CN113658705A (en) 2021-11-16
CN113658705B CN113658705B (en) 2022-08-02

Family

ID=78484313

Family Applications (3)

Application Number Title Priority Date Filing Date
CN202111222946.9A Active CN113658705B (en) 2020-11-25 2021-10-20 Cognitive function regulation and control device, system and method, storage medium and terminal
CN202111316100.1A Pending CN113948212A (en) 2020-11-25 2021-10-20 Cognitive function training system and method
CN202111295477.3A Active CN113712572B (en) 2020-11-25 2021-11-03 System and method for assessing cognitive function

Family Applications After (2)

Application Number Title Priority Date Filing Date
CN202111316100.1A Pending CN113948212A (en) 2020-11-25 2021-10-20 Cognitive function training system and method
CN202111295477.3A Active CN113712572B (en) 2020-11-25 2021-11-03 System and method for assessing cognitive function

Country Status (2)

Country Link
CN (3) CN113658705B (en)
WO (1) WO2022111597A1 (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113871015A (en) * 2021-12-02 2021-12-31 北京智精灵科技有限公司 Man-machine interaction scheme pushing method and system for improving cognition
CN114190954A (en) * 2021-12-23 2022-03-18 宁波大学医学院附属医院 Patient cognitive function assessment method and system
WO2022111597A1 (en) * 2020-11-25 2022-06-02 北京未名脑脑科技有限公司 Cognitive function regulation device, system, and method, application thereof in cognitive function deficits, storage medium, terminal, and cognitive function training system and method
US20230063681A1 (en) * 2021-08-25 2023-03-02 Sony Interactive Entertainment Inc. Dynamic augmentation of stimuli based on profile of user

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114469136B (en) * 2022-02-14 2023-09-22 中南大学 Thermal comfort evaluation method, system and storable medium
CN114822855B (en) * 2022-06-28 2022-09-20 北京智精灵科技有限公司 Cognitive training task pushing method, system and construction method based on FTRL model
CN114864051B (en) * 2022-07-06 2022-10-04 北京智精灵科技有限公司 Cognitive improvement method and system based on neural network
CN115363585B (en) * 2022-09-04 2023-05-23 北京中科心研科技有限公司 Standardized group depression risk screening system and method based on habit removal and film watching tasks
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
CN115295153B (en) * 2022-09-30 2023-01-20 北京智精灵科技有限公司 Cognitive assessment method and cognitive task pushing method based on deep learning
CN115607800B (en) * 2022-10-18 2024-01-23 北京中科心研科技有限公司 Standardized multi-mode psychological stress inducing device and method
CN116530938B (en) * 2023-05-09 2024-03-08 中国人民解放军军事科学院系统工程研究院 Cognitive enhancement training system and method

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106599582A (en) * 2016-10-27 2017-04-26 中国科学院心理研究所 Intelligent mobile device-based foresight cognitive function evaluation system and method
CN109524085A (en) * 2018-10-25 2019-03-26 广州市和声信息技术有限公司 It is a kind of based on interactive cognitive analysis method and system
CN109524086A (en) * 2018-11-30 2019-03-26 北京京师脑力科技有限公司 A kind of cognitive training method and system improving sensory perception
CN109671486A (en) * 2018-12-14 2019-04-23 上海市精神卫生中心(上海市心理咨询培训中心) For synthesizing the cognitive rehabilitative training system of class drug addiction

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5331969A (en) * 1985-07-30 1994-07-26 Swinburne Limited Equipment for testing or measuring brain activity
US20050159671A1 (en) * 2003-12-18 2005-07-21 Sneddo & Associates Inc. Method for diagnosing, detecting, and monitoring brain function including neurological disease and disorders
US10617351B2 (en) * 2012-04-23 2020-04-14 Sackett Solutions & Innovations Llc Cognitive biometric systems to monitor emotions and stress
US20150269341A1 (en) * 2014-03-20 2015-09-24 Home Care Assistance, Inc. Method and system for intervention management
US20170352283A1 (en) * 2016-06-07 2017-12-07 Cerekinetic, Inc. Self-administered evaluation and training method to improve mental state
US10888241B2 (en) * 2017-01-12 2021-01-12 Ronald Siwoff Device and method to determine objectively visual memory of images
WO2018215575A1 (en) * 2017-05-26 2018-11-29 Jamzone B.V. System or device allowing emotion recognition with actuator response induction useful in training and psychotherapy
CN107239670A (en) * 2017-06-21 2017-10-10 江苏肯尼森健康科技有限公司 It is a kind of to be used for the system of cognitive disorder examination and individual training
CN109394209B (en) * 2018-10-15 2021-07-06 汕头大学 Personalized emotion adjusting system and method for pregnant woman music treatment
CN112465139A (en) * 2020-11-25 2021-03-09 北京未名脑脑科技有限公司 Cognitive training method, system and storage medium
CN113658705B (en) * 2020-11-25 2022-08-02 北京未名脑脑科技有限公司 Cognitive function regulation and control device, system and method, storage medium and terminal

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106599582A (en) * 2016-10-27 2017-04-26 中国科学院心理研究所 Intelligent mobile device-based foresight cognitive function evaluation system and method
CN109524085A (en) * 2018-10-25 2019-03-26 广州市和声信息技术有限公司 It is a kind of based on interactive cognitive analysis method and system
CN109524086A (en) * 2018-11-30 2019-03-26 北京京师脑力科技有限公司 A kind of cognitive training method and system improving sensory perception
CN109671486A (en) * 2018-12-14 2019-04-23 上海市精神卫生中心(上海市心理咨询培训中心) For synthesizing the cognitive rehabilitative training system of class drug addiction

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022111597A1 (en) * 2020-11-25 2022-06-02 北京未名脑脑科技有限公司 Cognitive function regulation device, system, and method, application thereof in cognitive function deficits, storage medium, terminal, and cognitive function training system and method
US20230063681A1 (en) * 2021-08-25 2023-03-02 Sony Interactive Entertainment Inc. Dynamic augmentation of stimuli based on profile of user
CN113871015A (en) * 2021-12-02 2021-12-31 北京智精灵科技有限公司 Man-machine interaction scheme pushing method and system for improving cognition
CN113871015B (en) * 2021-12-02 2022-03-04 北京智精灵科技有限公司 Man-machine interaction scheme pushing method and system for improving cognition
CN114190954A (en) * 2021-12-23 2022-03-18 宁波大学医学院附属医院 Patient cognitive function assessment method and system

Also Published As

Publication number Publication date
CN113658705B (en) 2022-08-02
CN113712572B (en) 2022-02-22
CN113948212A (en) 2022-01-18
CN113712572A (en) 2021-11-30
WO2022111597A1 (en) 2022-06-02

Similar Documents

Publication Publication Date Title
CN113658705B (en) Cognitive function regulation and control device, system and method, storage medium and terminal
US11617559B2 (en) Augmented reality systems and methods for user health analysis
EP3472828B1 (en) Augmented reality display system for evaluation and modification of neurological conditions, including visual processing and perception conditions
KR102477327B1 (en) Processor-implemented systems and methods for measuring cognitive ability
CA2816910C (en) Enhancing cognition in the presence of distraction and/or interruption
JP2022117988A (en) Cognitive platform coupled with physiological component
CN111587086A (en) Systems and methods for visual field analysis
US20050216243A1 (en) Computer-simulated virtual reality environments for evaluation of neurobehavioral performance
CN110024014A (en) Arouse the cognition platform of element including computerization
JP2020531096A (en) Cognitive platform with computer control elements
TW201944429A (en) Cognitive screens, monitor and cognitive treatments targeting immune-mediated and neuro-degenerative disorders
Riva et al. Virtual environments in the diagnosis, prevention, and intervention of age-related diseases: A review of VR scenarios proposed in the EC VETERAN project
Ćosić et al. New tools and methods in selection of air traffic controllers based on multimodal psychophysiological measurements
Lee et al. ADHD assessment and testing system design based on virtual reality
US20230306860A1 (en) Training system with interaction assist feature, training arrangement and training
Chernykh et al. The development of an intelligent simulator system for psychophysiological diagnostics of trainees on the basis of virtual reality
Abdessalem et al. Toward Personalizing Alzheimer's Disease Therapy Using an Intelligent Cognitive Control System.
Grant Behavioural and neurophysiological measures of haptic feedback during a drilling simulation
Marucci Towards real world neuroscience: the impact of virtual and augmented reality techniques on the study of human performance and sense of presence.
BEng Machine Learning and Electroencephalography for Enhanced Learning in Human-Computer Interaction
Templeton Towards a Comprehensive Mobile-Based Neurocognitive Digital Health Assessment System (NDHAS)
Zarour Attention, concentration, and distraction measure using EEG and eye tracking in virtual reality
Buchem et al. BewARe–Wearable-and Augmented-Reality-Enhanced Movement and Mobility Training for Promoting Health and Wellbeing of Senior Patients.
Parsons et al. Of Virtual Reality Measures for Assessment of Executive Function
Collura et al. Technical Foundations of Neurofeedback Principles and Processes for an Emerging Clinical Science of Brain and Mind

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant