CN108461125A - A kind of memory training device for the elderly - Google Patents
A kind of memory training device for the elderly Download PDFInfo
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- CN108461125A CN108461125A CN201810217913.7A CN201810217913A CN108461125A CN 108461125 A CN108461125 A CN 108461125A CN 201810217913 A CN201810217913 A CN 201810217913A CN 108461125 A CN108461125 A CN 108461125A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT 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
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/70—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
Abstract
A kind of memory training device for the elderly, based on impression input by user, real-time memory status information and/or external condition complete the analysis and correction of the theoretical memory state variation tendency, foreseeable time point beyond critical value theoretical memory state variation tendency according to impression input by user, the practical memory status information, body signal and external condition mode classification storage associated with each other, wherein, the boundary trigger condition that theoretical memory state variation tendency exceeds critical value is formed based on above-mentioned data information associated with each other, analyze the correlation of the practical memory status information and the boundary trigger condition of user, and early warning is made based on the correlation in advance, it pushes memory training program and/or improves the suggestion of external condition.The present invention is capable of the memory training characteristics of gradual acquistion user, and then effectively manages user's memory state.
Description
Technical field
The present invention relates to artificial intelligence field more particularly to a kind of memory training devices for the elderly.
Background technology
Memory trains the stage for being common in the fast development of the intelligence such as childhood and teenager, is conventionally used to facilitate the development of intelligence
Better intelligent development level is obtained with it.The memory state of the elderly is in the downslide stage or is kept for the stabilization sub stage, therefore,
In daily life, the correlation between memory of the elder state and pathology has been obscured, to often have ignored to the elderly
The importance that memory is trained.For example, the memory slump of disastrous proportions of the elderly can induce senile dementia, clouding of consciousness, smart
The severe complications such as dispirited, the communication difficulty of god, further such that the elderly loses self care ability.
Difference based on the elderly's individual difference and external condition, identical memory training program can not be utmostly
On be suitable for each using individual.Meanwhile compared to childhood or teenager, the memory state of the elderly is easily suffered from
The influence of the factors such as disease, state of weather, emotional state, sleep state, and there is falling tendency in the memory of the elderly
Often there is fulminant index drop feature afterwards, and then it is, for example, senile dementia, clouding of consciousness, abilities to speak to cause a series of
Unclear equal severe complications.At this point, it is day after the fair to carry out memory training to the elderly.Therefore, how to realize that memory is instructed
Experienced is personalized with suitable for the different trend for using individual with shifting to an earlier date and accurate early warning memory of the elder deteriorates
It is urgent problem to carry out memory training in time to improve its memory state.
Invention content
The present invention is originated from such discovery, and none of people being capable of recognizing of bringing of accurate description certain memory state
Know or sensory experience.Although now with the methods of brain wave scanning, characteristic signal detection etc., also there is the algorithm of a large amount of artificial intelligence
If CNN (convolutional neural networks), RNN (Recognition with Recurrent Neural Network), DNN (deep neural network) are used for component memory model,
However specific to individual applicable effect for can only all say it is barely satisfactory.
From the perspective of psychologist, memory state be it is manageable, it is at least guidable.It is this to manage and draw
It leads and needs the method and apparatus of science to assist can be only achieved expected effect.So the object of the present invention is to provide one kind
Demarcated by user of service itself and recorded memory state and its associated impression, and thus targetedly train memory
The device and method of power.Through the invention, on the one hand the training to memory parser can be completed by teaching process,
On the other hand the difference of practical memory state and theoretical memory state can be constantly adjusted by user so that energy of the present invention
The memory training characteristics of enough gradual acquistion users, and then effectively manage user's memory state.
A kind of memory training device for the elderly, include at least respectively with data analysis module according to it is wired and/
Or wireless mode connection for automatic collection and/or by user input practical memory status information data interaction module,
Data acquisition module for acquiring body signal in a manner of cither indirectly or directly contacting user's body and for storing data
The memory module of information.Wherein, the data analysis module is determined corresponding with the body signal using memory parser
Theoretical memory status information.The data analysis module be based on it is input by user impression, real-time memory status information and/
Or external condition completes the analysis and correction of the theoretical memory state variation tendency.At foreseeable time point beyond critical
The theoretical memory state variation tendency of value is believed according to impression input by user, the practical memory status information, body
Number and external condition mode classification storage associated with each other to the memory module.Wherein, the data analysis module is based on
Above-mentioned data information associated with each other forms the boundary trigger condition that theoretical memory state variation tendency exceeds critical value, and divides
The correlation of the practical memory status information and the boundary trigger condition of user is analysed, and is made in advance based on the correlation
Early warning, push memory training program and/or the suggestion for improving external condition.
Due to the elderly's individual difference and the difference of external condition, identical memory training program can not be utmostly
On be suitable for each using individual.In order to realize that memory training is full intellectualized, memory parser is instructed
Practice, the gap for being allowed to constantly reduce between theoretical memory state and practical memory state is necessary.Pass through above-mentioned skill
Art means help so that memory parser grasps the memory training characteristics of active user, so as to carry out personalization
Memory training.Meanwhile determining that the opportunity for carrying out memory training is also particularly important, especially for the elderly.For example, by
The influence of the factors such as illness, state of weather, emotional state, sleep state, the elderly are possible to be not suitable for outside in lasting
The drop of index is presented in memory state in the environment of boundary's condition, and then it is, for example, senile dementia, consciousness to cause a series of
The severe complications such as obscure, speak with a lisp.At this point, it is day after the fair to carry out memory training to the elderly.Therefore, the present invention will
Body signal, impression and the external condition of the elderly is included in monitoring test scope, by analyzing the elderly in different feeling, difference
Correlation under body signal and different external conditions between memory state variation tendency is made with determining boundary trigger condition
Obtain the development opportunity of the invention that can more accurately determine memory training.
According to a preferred embodiment, the memory training device further includes being electrically connected with the data analysis module
Memory test module.Wherein, the memory test module in a manner of text, voice, video and/or figure to user
The test information of the memory status information of user can be obtained by applying.The data interaction module is based on the test information
Feedback result determines the variation tendency of memory state.The data analysis module is based on the boundary trigger condition and/or institute
The variation tendency of memory state is stated to analyze the teaching process of memory training.Wherein, it is determined according to the teaching process
At least two extreme memory status informations are pre-configured with the parameter of memory parser.Determining memory parser
Afterwards, the variation tendency based on boundary trigger condition and memory state accurately analyzes practical memory state, raising pair
The analysis probability of the practical memory state of individual is conducive to formulate personalized memory parser.The extreme note of user
Recalling power state causes the memory loss of user serious, so induce to the having less understanding of periphery things, Individual Consciousness is unintelligible,
Lose the serious consequences such as self care ability.In these cases, demand memory parser has high accuracy with as early as possible
Warning information is provided.
According to a preferred embodiment, the memory test module is with the side of text, voice, video and/or figure
Formula applies the test information that can obtain the memory status information of user to user.And the data interaction module is adopted automatically
Collection test feedback information corresponding with the test information.The data collecting module collected user's is anti-with the test simultaneously
The corresponding body signal of feedforward information, impression input by user and/or external condition.The data analysis module is based on the test
Feedback information, the external condition, the impression input by user and/or the body signal are analyzed to be pre-configured with memory
The parameter of algorithm, and correcting theory memory status information.
According to a preferred embodiment, the data analysis module is based on continuously qualitatively and/or quantitatively adjusting
The whole theoretical memory status information generates and the relevant user's memory configuration file of active user.And it is based on the boundary
Trigger condition, the variation tendency of the memory state and/or user's memory configuration file are trained to analyze memory
Teaching process.
According to a preferred embodiment, the data analysis module record causes the outer of the practical memory state of user
Boundary's condition simultaneously stores in the form of with corresponding practical memory state relation to the memory module, will be input by user current
Memory status information is stored in a manner of associated with each other with the external condition to the memory module.And to user spy
After the correlation of fixed memory state and the external condition is analyzed, based on the correlation to the certain memory power
The initiation of state carries out push memory training program.
According to a preferred embodiment, the data analysis module is determined therewith based on the body signal of acquisition to analyze
Corresponding theory memory state.And it is described to change that stimulus information is exported in the form of text, voice, video and/or figure
External condition and/or directly provide a user memory training to improve the current memory state of user.
According to a preferred embodiment, current memory status information input by user and with practical memory state believe
Relevant external condition is ceased to be stored in a manner of associated with each other to the memory module.User passes through the data interaction mould
Block retrieves the practical memory status information according to the relevant mode of external condition.
According to a preferred embodiment, the data analysis module is corrected according to the practical memory status information
Based on the determining theoretical memory state of the body signal analysis of acquisition, the memory being made of the theoretical memory state after correcting
Power management configuration file is stored in the way of it can be retrieved according to body signal to the memory module.
According to a preferred embodiment, the data analysis module is based at least one extraneous item to each moment
Part, body signal and/or the iterative analysis of impression record practical memory state and theoretical memory state.And the number
Show that change of external conditions, body signal variation, impression become in a manner of showing with the mark of mapping association according to interactive module
Change the variation tendency with practical memory state, the practical memory of user is reminded in a manner of color change, sound and/or vibration
The extreme variation trend of state, and/or display change the suggestion of practical memory state.
The present invention also provides a kind of memory training methods for the elderly, include at least：Automatic collection and/or by with
Family inputs practical memory status information.Body signal is acquired in a manner of cither indirectly or directly contacting user's body.Based on pre-
If data base manipulation memory parser determine theory memory status information corresponding with the body signal.Wherein,
The theoretical memory state change is completed based on impression, real-time memory status information and/or external condition input by user
The analysis and correction of trend.Foreseeable time point beyond critical value theoretical memory state variation tendency according to user
The experiencing of input, the mode classification storage that the practical memory status information, body signal and external condition are associated with each other.
Wherein, boundary of the theoretical memory state variation tendency beyond critical value is formed based on above-mentioned data information associated with each other to trigger
Condition.The correlation of the practical memory status information and the boundary trigger condition of user is analyzed, and is based on the correlation
Early warning, push memory training program and/or the suggestion for improving external condition are made in advance.
The advantageous effects of the present invention：
The present invention is allowed to constantly reduce theoretical memory state and reality by the continuous training to memory parser
Gap between memory state, simultaneously so that the memory training characteristics of memory parser acquistion active user, to
Personalized memory training can be carried out.Further, the present invention receives the body signal of the elderly, impression and external condition
Enter to monitor test scope, by analyze the elderly under different feeling, different body signal and different external conditions with memory
Correlation between state variation tendency is to determine boundary trigger condition so that the present invention can more accurately determine that memory is instructed
Experienced development opportunity avoids the elderly from being presented under index in the lasting memory state in the environment of external condition that is not suitable for
Fall, so cause it is a series of be, for example, senile dementias, it is clouding of consciousness, the severe complications such as speak with a lisp.
Description of the drawings
Fig. 1 is the connection relationship diagram of each module of the present invention；
Fig. 2 is the logical construction schematic diagram of the present invention；With
Fig. 3 is the display schematic diagram of the data interaction module of the present invention.
Reference numerals list
10：Data interaction module 20：Data acquisition module
30：Data analysis module 31：Database
40：Memory module 50：Memory test module
Specific implementation mode
It is described in detail below in conjunction with the accompanying drawings.
Embodiment 1
As shown in Figure 1, data analysis module according to wiredly and/or wirelessly mode respectively with for automatic collection and/or by
User inputs the data interaction module of practical memory status information, in a manner of cither indirectly or directly contacting user's body
The data acquisition module of acquisition body signal, the memory module of information is connected with memory test module for storing data.It is excellent
Choosing, the data interaction module can be mobile terminal.The data acquisition module can be detector.The data analysis mould
Block can be cloud server.The memory test module can be memory span tester, be equipped with memory software
Intelligent terminal etc..The memory module can be storage chip, hard disk, storage server etc..
Preferably, the data analysis module includes at least three bidirectional interfaces, several Data Input Interfaces and at least
One data output interface.Wherein, the data interaction module, the memory module and the database pass through different two-way
Interface is connect with the data analysis module carries out two-way communication.The data acquisition module and the memory test module are logical
Different Data Input Interfaces is crossed to connect with the data analysis module.Preferably, the data output interface is used for and higher level
Or subordinate equipment is attached communication with will be in the data transmission in memory training device to the higher level or subordinate equipment.Institute
Data output interface is stated to configure to avoid the data in the memory power apparatus with the one-way communication of data only export but no import
The risk that information is stolen.
As shown in Figure 1, Figure 2 and Figure 3, the present invention provides a kind of device for memory of the elder training.The present invention's
Memory training device includes at least data interaction module 10, data acquisition module 20 and data analysis module 30.Data interaction
Module 10 inputs practical memory status information for automatic collection and/or by user.Preferably, data interaction module 10 includes
Image collecting device, video acquisition device.Data interaction module can be intelligent terminal, such as notebook, mobile phone, intelligent hand
The mobile devices such as ring, smartwatch can also be photographic device.Preferably, photographic device includes common photographic device and ight
Photographic device.Preferably, automatic collection is the talk record of normal interpersonal conversation's occasion of automatic collection user, user to specific
Description state of event etc..Alternatively, by user by the memory state input data interactive module with verbal description of oneself.
Preferably, memory test module is connected to data interaction module by way of wiredly and/or wirelessly.Memory
Training module exports stimulus information to change the external condition and/or straight in the form of text, voice, video and/or figure
It connects and provides a user training stimulus to improve the current memory state of user.Memory test module is with text, voice, video
And/or the mode of figure applies the test information that can obtain the memory status information of user, and automatic collection to user
Test feedback information corresponding with the test information.Data analysis module based on during teaching test feedback information and/
Or body signal is pre-configured with the parameter of memory parser, and correct theory memory shape corresponding with body signal
State information.Preferably, memory test module can be the VR equipment that user wears.VR equipment includes at least sensing unit.Sense
Information related with the cerebration of user and life can be acquired in carrying out memory test or memory training process by surveying unit
At output signal.Output signal can wirelessly and/or be wiredly sent to data interaction module.
The data acquisition module of the present invention in a manner of cither indirectly or directly contacting user's body for acquiring body signal.
Data acquisition module includes the module of a variety of acquisition physiology signals.The detecting module of data acquisition module includes at least pulse
Sensor, heartbeat sensor, blood pressure sensor, respiratory frequen, sound acquisition module, hand vibration module and step frequency
One or more of rate sensor.Preferably, the detecting module in data acquisition module can also increase microwave according to demand
Signal transducer, the variation for detecting brain wave.Detecting module in data acquisition module can also increase according to demand to be set
Set the electrode on head.Preferably, the body signal that data acquisition module 20 acquires is sent via the data interaction module 10
To data analysis module 30.
The data analysis module 30 of the present invention is used for based on the determination of preset data base manipulation memory parser and body
The corresponding theoretical memory status information of body signal.Preferably, data analysis module 30 includes storing several memory analyses to calculate
The database 31 of method.The body signal that the data analysis module 30 is acquired according to data acquisition module 20 come analyze and determine with
Corresponding theoretical memory state and feed back to data interaction module 10.Preferably, memory parser includes Bayes
The machine learning such as sorting algorithm, neural network, support vector machines, decision tree, the study of case similarity assessment, correlation rule study
Algorithm.
For example, the memory parser of data analysis module is as described below.
Using minimum degree of membership fuzzy support vector machine or average degree of membership fuzzy support vector machine to note in the present embodiment
Recall power state to classify.Can be e.g. health status, memory sub-health state and memory by memory state demarcation
Power slump of disastrous proportions state.Specifically, the classifying step of memory parser includes：
A1：Ambiguity in definition membership function
In order to avoid generate can not subregion, introduce fuzzy membership function, definition：
A2：Define degree of membership function
Degree of membership function can there are two types of the methods of definition：Minimum degree of membership and average degree of membership.
Minimum degree of membership：mi=Min (mij(x)), j=1,2 ... k, j ≠ i.
Average degree of membership：
A3：Classification
Obtain k miAfterwards, x is included into miMaximum one kind：arg{max(mi(x)) }, i=1,2 ... k.
Preferably, data analysis module 30 completes to the data operation of the data interaction module 10 based on user
The teaching process of analysis module 30.Preferably, data analysis module includes at least CPU, processor, microprocessor, server, clothes
One or more of device group of being engaged in.First, data analysis module 30 needs user's cooperation to complete teaching process.In the present invention
Teaching refers to the programming of exemplary artificial intelligence.
For example, during user uses the teaching of apparatus of the present invention, need to input mood sense by data interaction module
By, feeling of sleep by and current memory status information.During user uses apparatus of the present invention, data interaction module 10
Actively acquire the current external condition of user.External condition includes weather condition, noise figure, the current state of mind of user etc.
Deng.Preferably, user inputs current mood impression and feeling of sleep by and at the appointed time in range interval, user is defeated again
Enter the current emotional impression after mitigating and adjusting and feeling of sleep enters teaching process by after.During teaching, data analysis
External condition, feeling of sleep of the module based on user are matched by with mood impression and the formation of memory state variation tendency with user
Memory parser.Correcting theory memory state simultaneously.
Such as：The method and step of teaching process includes：
S1：Start teaching pattern；
S2：User selects：This teaching object is selected according to user name, if the object of this teaching is data memory module
In typing user, then directly selected；If the object of this teaching is the user of not yet typing, handed over by data
The memory status information of its user of mutual module typing selects again, and user's memory information includes user name and use
Family facial photo, user's sample memory and external condition associated with it and impression；
S3：Sample is chosen：If the sample memory content and teaching matching content of this teaching have stored in the user
Under one's name, then stored sample memory content and teaching matching content are directly chosen；If in the sample memory of this teaching
Hold and teaching matching content is not comprised under the user name, then the teaching for reading in this teaching by data interaction module matches
Content, and the sample memory content of this teaching and teaching matching content are stored under the user name, then choose deposit
Sample memory content and teaching matching content；
S4：Memory state transformation：The memory state of different time sections, user is not identical.At least adopt
It is anti-to collect the body signal of user in a month period, external condition, the memory test after repeated multiple times memory training
Feedback result simultaneously carries out theoretical memory state analysis.It is multiple to be formed by the variation of the memory state in the different time period
Memory state sample；
S5：Recruitment evaluation：Data analysis module is according to the memory state and teaching process of theoretical memory state analysis
User's memory status information of middle typing is corrected memory parser by comparison, and is recorded and the memory state
Associated external condition and impression.
Preferably, the sample memory of user is that user carried out being formed in multiple memory test within certain time
With body signal, external condition, mood impression and feeling of sleep by associated and with video, audio, text and/or picture shape
The optimal memory status information that formula preserves.
Preferably, when practical memory state, body signal and the external condition of user are stored in the form of associated
When in data analysis module, data analysis module 30 is by teaching process by practical memory state, body signal and the external world
In incidence relation and memory parser the write-in memory of condition, the personalized memory analysis formed for user is calculated
Method.User is more by the teaching number of data interaction module 10 with data analysis module 30, then the note of data analysis module 30
It is more accurate to recall power parser.For example, the sample information repeatedly inputted according to user and the weight parameter for adjusting various information, make
The theoretical memory state of memory parser as possible with the practical memory state consistency of user or approximate.
Wherein, the data analysis module 30 is believed according at least two extreme memory states that the teaching process determines
It ceases to be pre-configured with the parameter of memory parser.
Preferably, during teaching, the data interaction module 10 applies to user can cause memory state
Stimulus information, and automatic collection and/or corresponding with the stimulus information practical memory status information is inputted by user.Together
Shi Suoshu data acquisition modules 20 acquire the body signal corresponding with the stimulus information of user.The data analysis module base
At least two practical memory status informations, the body signal during teaching are analyzed to be pre-configured with memory
The parameter of algorithm.Preferably, data analysis module 30 corrects theory corresponding with body signal based on practical memory state
Memory status information.
Preferably, stimulus information includes the letter that video, picture, text information and sound etc. can cause user's anamnestic reaction
Breath.Stimulus information causes the memory of user by the particular event of its carrying, special scenes, memory training topic etc. information
Reaction.For example, the continuous recall info that video information recording user occurs certain part event and terminate within certain time.
After data interaction module shows a certain segment therein, it is entire to judge that can user obtain according to the segment by way of enquirement
The detail information of event, or the performance level based on whole event memory divide the grade of user's memory state.
Preferably, variation tendency of the data analysis module 30 also based on the practical memory state during teaching forms a
The memory state change curve of property.For example, memory state change is：Clouding of consciousness → discontinuity Consciousness → consciousness
It is normal but be only capable of memory simple event → complicated event part details can be remembered → whole business full details can be remembered.Just
In the case of often, user will not be transferred to memory normal condition from confusional state moment.
By the theoretical memory state of sustainable analysis active user, memory training device of the invention being capable of profit
The variation tendency of memory state is determined with data analysis module 30.Preferably, data analysis module or data interaction module
Variation based on practical memory state described in body signal, practical memory status information and/or external condition information analysis
Trend.For example, the practical memory current to user by carrying out the memory test module of real-time Communication for Power with data analysis module
Power state is tested.Test can divide period and frequency to carry out, and carry out within e.g. one month four sampling tests.Test process
Middle memory test module exports test information to test object in a manner of picture, video, audio and/or word and receives survey
Try the result of object feedback.By in period certain time multiple test result carry out Macro or mass analysis obtain user this when
Between memory state variation tendency in the period.Preferably, test that memory state just occur very poor for the first time in test object
In the case of, data analysis module and/or data interaction module carry out test object current emotional, physical qualification and sleep quality
Test and simultaneously the mood and sleep quality of test object be adjusted according to testing result, or to the memory of test object into
Row training.The mood of test object is adjusted can be for example, by being that the voice system of Siri is talked with the elderly
Mode alleviates its feeling of lonely.
Preferably, in the data interaction module 10 for the practical memory shape at least one section continuous time interval
State information analysis confirms that the variation tendency of the practical memory state of active user will exceed critical value at foreseeable time point
In the case of, and/or being analyzed to identify in the data analysis module variation tendency of the theoretical memory state of active user will
In the case where exceeding critical value at foreseeable time point, the data analysis module is by the data interaction module to current
User sends out early warning.Specifically, the practical memory of data interaction module 10 or data analysis module 30 to active user
The variation tendency of state is analyzed, and confirms that the variation tendency of practical memory state will be at foreseeable time point beyond critical
Value.At this point, data analysis module 30 is issued the user with by data interaction module 10, vibration, sound, color change etc. are a variety of to be carried
Show, to remind user that abnormal conditions occurs in memory state, and starts to carry out memory training to it.
Preferably, the data interaction module 10 inputs user in a manner of text, voice, video and/or figure
Impression is stored or is provided to the data analysis module in the form of associated with the practical memory state of corresponding automatic collection
30.Alternatively, the data interaction module 10 record cause user practical memory state external condition and with it is corresponding
The form of practical memory state relation stores or is provided to the data analysis module 30.The data analysis module 30 to
Correlation between the certain memory power state at family and the extraneous relationship is analyzed, and based on the correlation to described
The initiation of certain memory power state carries out early warning.Preferably, external condition is, for example, that weather condition, noise figure, user are current
State of mind etc..
For example, the weather of a run of wet weather, user are in strange and noisy living environment geographical location, the practical note of user
Current emotional states and/or dormant influence of the power state by user are recalled so that its memory state is presented less than it just
The flat state of ordinary water, at this time data acquisition module acquire the body signal of user in real time.Data interaction module 10 or data analysis
The external condition of synchronization, body signal and practical memory state are associated storage by module 30, and to practical note
Recall the memory state change in the memory state variation tendency and latter limiting time in the previous limiting time of power state
Trend is recorded.Data analysis module 30 is to the very poor memory state of user and the external condition, emotional state and sleeps
Correlation between dormancy state is analyzed, and is carried out in advance to the initiation of very poor memory state based on the correlation
It is alert.
Preferably, the data analysis module 30 is by current memory status information input by user and the data interaction
What module 10 provided is stored with the practical relevant external condition of memory status information in a manner of associated with each other, is contributed to
The retrieval of information.The data interaction module 10 is arranged to be stored according to retrieving with the relevant mode of external condition by user
The practical memory status information of the data analysis module 30 and/or the data interaction module 10.
Preferably, in theoretical memory state variation tendency of the foreseeable time point beyond critical value according to defeated with user
Enter experience, mode classification storage that the practical memory status information, body signal and external condition are associated with each other extremely
The database of data analysis module, wherein the data analysis module is formed based on the above-mentioned associated data information in database
Theoretical memory state variation tendency exceeds the boundary trigger condition of critical value, and the data analysis module is arranged to analysis and uses
The correlation of the practical memory status information and the boundary trigger condition at family, and made in advance based on the correlation pre-
Operating mode that is alert, improving external condition and/or memory training program.For example, the classified calculating result of memory can be drawn
It is divided into health status, memory sub-health state and memory slump of disastrous proportions state.Wherein, memory sub-health state and memory
Power slump of disastrous proportions state can be divided into the scope that memory state variation tendency exceeds critical value.Data analysis module record note
Recall power sub-health state or body signal, external condition, impression input by user and reality under memory slump of disastrous proportions state
Memory status information.For example, based on the multiple monitoring in period certain time, when monitoring for the first time, fine, weather warms up
It is total forgetting article of going out with poor sleeping quality, mood agitation, practical memory state, for the second time when monitoring, fine,
Weather is warm, sleep quality is good, mood is irritated, practical memory state is that thinking clearly reacts quick, is both at memory
Under conditions of power sub-health state, it can be confirmed that mood agitation and poor sleeping quality are to cause memory state variation tendency to exceed
One of boundary trigger condition of critical value.Data analysis module analysis obtains practical memory state under these conditions and sleep
Quality and emotional state have Close relation to a greater extent.Data analysis module is based on above-mentioned correlation, for user
Situation can provide e.g. improvement living environment, adjustment daily schedule, appropriate exercise, participation community activity etc. and build at this stage
View.Based on aforesaid way, the device of the invention is capable of the memory state adjustment feature of acquistion user, and then using simple and effective
Mode guide user's memory state in advance, avoid its trend development to state deteriorating.
Memory status retrieval is an important means in memory training process.User triggers certain not by retrieving
The body signal of good memory state can retrieve the practical memory status information for being stored in data analysis module.It is preferred that
, practical memory status information can be that user is experienced with certain heart that text, picture and/or video mode record,
Can be sound, video or the image information acquired by data interaction module 10.User can determine influence oneself by retrieval
The external condition of memory state, the historical variations record of emotional state, sleep state and practical memory state, to help
Memory training is carried out to it in user or caregiver.
Preferably, the data interaction module 10 includes by the step of user's input practical memory state：User is with point
The mode of choosing selects current outside condition, the type of mood and rank, sleep pattern and rank, memory rank, and/or
The practical memory state change that user is inputted in a manner of text, voice, video or figure in itself time period becomes
Gesture.
Preferably, the step of practical memory state of 10 automatic collection user of the data interaction module includes：It is described
Data interaction module 10 is memory test module testing user and acquires in a manner of audio and/or videograph practical note
Recall power state, and the practical memory state of the acquisition and user are selected in a manner of clicking current outside condition,
Type and rank, sleep pattern and rank, the memory rank of mood are compared, to the practical memory to being acquired
Power state is corrected.
Particularly, data interaction module 10 can be believed according to practical memory state is provided with the relevant mode of external condition
Breath is used as retrieval result.For example, being inputted and being retrieved with external condition " winter at cloudy day-" or body signal, if then retrieving
Do relevant practical memory state variation tendency etc..User will be seen that oneself is influenced by external condition and memory is worked as
When scene.
Although data analysis module 30 can analyze body signal and practical memory state, it is all based on reason
It is carried out by research.The personality of each individual is different, and somebody likes the cloudy day, also relatively good in cloudy memory state.Have
People dislikes the cloudy day, poor in cloudy memory epidemic situation comparison.Therefore, it is necessary to teaching processes to carry out school to theoretical memory state
Just, the analysis of data analysis module 30 is made to can adapt to independent individual.Preferably, the data analysis module 30 is according to described
Practical memory status information is remembered to correct the theory of the body signal analysis determination of acquisition module acquisition based on the data
Power state.The memory management configuration file being made of the theoretical memory state after correcting according to body signal according to can carry out
The mode of retrieval is stored in the data interaction module.Preferably, the theoretical memory state after correction can be by can customize
Keyword retrieved.Preferably, the theoretical memory state retrieved can according to approximate practical memory
Mode that state provides together delivers retrieval result.Theoretical memory state is carried together with approximate practical memory state
For being conducive to user and determining desired retrieval information according to retrieval result, improve the accuracy rate of information retrieval.
Preferably, include according to the step of practical memory state correction theory memory state：By practical memory shape
State is compared with theoretical memory state, and qualitatively and/or quantitatively adjusts the theory memory state, to generate and work as
The preceding relevant user's memory configuration file of user.Preferably, which has also taken into account and each reality
The relevant external condition of memory status information.Such configuration is conducive to the influence and guiding that exclude unfavorable external condition
User adapts to external condition by mode appropriate, and promotes its memory under conditions of providing memory training or rehabilitation is looked after
Power state develops to better direction.Specifically, in the theoretical memory state of adjustment, setting and relevant of theoretical memory
Property condition is in user's memory configuration file.Personalized condition includes and the matched external condition of user and body signal.
When user is under extreme memory state and needs guiding, user's memory configuration file is based on and theoretical memory shape
The relevant personalized condition of state, adjusts the care regimen and memory training program of data interaction module, or change user's
External condition is slowly varying come the memory state for gradually adjusting user.
Preferably, the display of data interaction module 10 includes external condition mark, physical trait mark, memory state mark
Know and impression identifies.Wherein, external condition mark, physical trait mark, memory status indicator and impression mark variation that
This association, at least one external condition qualitatively and/or quantitatively change physical trait.At least one physical trait it is qualitative and/or
Quantitatively cause the variation of memory status indicator.At least one user's impression qualitatively and/or quantitatively causes user's memory
The variation of state.Preferably, when user's input is experienced, data analysis module will be sent corresponding by data interaction module
External condition, body signal and impression analyze practical memory state and are shown as memory status indicator.Preferably, extraneous item
Part mark, physical trait mark, memory status indicator and impression mark are in a manner of synchronous variation in data interaction module reality
When show.User can check external condition mark, physical trait mark, memory status indicator simultaneously in data interaction module
Other mark variations caused by variation with impression mark and one of mark.
For example, the data interaction module 10 is with external condition, the mapping of body signal, practical memory state and impression
It is associated with the mode gradually increased and stores and show external condition information, body signal information, practical memory status information and sense
By information.Wherein, each external condition and at least one body signal mapping association.Each body signal with it is at least one
Practical memory state mapping association.Each practical memory state experiences mapping association at least one.
Preferably, the data analysis module based on at least one external condition at each moment, body signal and/or
The iterative analysis of impression records practical memory state and theoretical memory state.The mobile terminal 10 is reflected with showing to have
The mode for penetrating associated mark shows that change of external conditions, body signal variation, impression changes and the change of practical memory state
Change trend, reminds the extreme variation trend of the practical memory state of user in a manner of color change, sound and/or vibration, and/
Or display changes the suggestion of practical memory state.It is recommended that for example can be：It is recommended that user moves, travels, is on home leave, does shopping
To change external condition or user's impression.
Data interaction module 10 shown in the way of by least two circular array that form of circle impression input by user, with
Its associated practical memory state, external condition and body signal.Wherein, each circle be divided into several for record letter
The space of breath.
As shown in figure 3, the data interaction module 10 is stored and is shown in the way of the flattened list being made of four circles
It is input by user impression, practical memory state, external condition and body signal associated with it.Wherein.Flattened list includes
Outer ring identifies and inner ring mark.The inner ring mark includes that the first inner ring mark 11 and radius are identified more than first inner ring
Second inner ring mark 12.The outer ring mark includes second that the first outer ring mark 13 and radius are more than first outer ring mark
Outer ring mark 14.
Each space of the first inner ring mark 11 is for storing and the external condition of practical memory state relation.Institute
Each space of the second inner ring mark 12 is stated for storing and the physical trait of practical memory state relation.First outer ring
Each space of mark 13 is for storing the practical memory state.Each space of the second outer ring mark 14 is for depositing
Store up impression input by user.The variation of each information may all cause the variation of other information.
For example, noise figure in external condition increases, each space of external condition mark along being remembered clockwise
Color change is recorded and carries out, each space of physical trait mark is along the change clockwise for recording body signal and carrying out corresponding color
Change.After noise figure increases above individual character threshold value, each space for experiencing mark is experienced along record clockwise and is occurred corresponding
The variation of color.For example, input by user be felt as 2 grades of agitation.Then memory status indicator is based on change of external conditions, body
Changing features and impression and its grade generate variation, and the color of memory status indicator is caused to change.In the reality of user
When memory state is appeared in time period without the extremity for improving or continuing to decline, data interaction module 10 is with sound
There is degradating trend to the warn memory state of user of user in sound, vibration or the mode of flicker, and user is reminded to improve extraneous item
Part actively carries out memory training to user or caregiver is instructed to carry out adequate rehabilitation treatment to it.Preferably, data analysis
Module 30 can issue the user with the suggestion that guiding changes external condition by data interaction module 10, such as propose that movement is built
View, music song suggestion, old activity suggestion etc..
Embodiment 2
The present embodiment is being further improved to embodiment 1, and the content repeated repeats no more.
The present embodiment provides a kind of memory training methods for the elderly, include at least step：Automatic collection and/or
Practical memory status information is inputted by user.Body signal is acquired in a manner of cither indirectly or directly contacting user's body.Profit
Theoretical memory status information corresponding with the body signal is determined with memory parser.Wherein, user is based on to input
Experience, real-time memory status information and/or external condition complete the theoretical memory state variation tendency analysis and
Correction.Foreseeable time point beyond critical value theoretical memory state variation tendency according to it is input by user impression,
The practical memory status information, body signal and external condition mode classification storage associated with each other.Wherein, it is based on upper
It states data information associated with each other and forms the boundary trigger condition that theoretical memory state variation tendency exceeds critical value.Analysis is used
The correlation of the practical memory status information and the boundary trigger condition at family, and made in advance based on the correlation pre-
Alert, push memory training program and/or the suggestion for improving external condition.
Preferably, the memory of user can be obtained by being applied to user in a manner of text, voice, video and/or figure
The test information of status information, and the variation tendency of memory state is determined based on the feedback result of the test information.It is based on
The variation tendency of the boundary trigger condition and/or the memory state come analyze memory training teaching process, wherein
It is pre-configured with the ginseng of memory parser according at least two extreme memory status informations of teaching process determination
Number.
Preferably, the memory of user can be obtained by being applied to user in a manner of text, voice, video and/or figure
The test information of status information, and automatic collection test feedback information corresponding with the test information.Acquire user simultaneously
Body signal corresponding with the test feedback information, impression input by user and/or external condition.It is anti-based on the test
Feedforward information, the external condition, the impression input by user and/or the body signal are calculated to be pre-configured with memory analysis
The parameter of method, and correcting theory memory status information.
Preferably, based on continuously qualitatively and/or quantitatively adjust the theoretical memory status information generate with
The relevant user's memory configuration file of active user.Wherein, the change based on the boundary trigger condition, the memory state
Change trend and/or user's memory configuration file analyze the teaching process of memory training.
Preferably, record cause user practical memory state external condition and with corresponding practical memory shape
The associated form storage of state, by current memory status information input by user and the external condition in a manner of associated with each other
It is stored.After analyzing the correlation of the specific memory state of user and the external condition, it is based on the correlation
Property to the initiation of the certain memory power state carry out push memory training program.
Preferably, corresponding theoretical memory state is determined to analyze based on the body signal of acquisition.With text, language
The form of sound, video and/or figure exports stimulus information to change the external condition and/or directly provide a user memory
Training is to improve the current memory state of user.
Preferably, current memory status information input by user and with the relevant extraneous item of practical memory status information
Part is stored in a manner of associated with each other.User retrieves the practical memory state according to the relevant mode of external condition
Information.
Preferably, it is corrected based on the determining reason of the body signal analysis of acquisition according to the practical memory status information
By memory state, the memory management configuration file being made of the theoretical memory state after correcting according to body according to can believe
Number mode retrieved stores.
Preferably, based on at least one external condition at each moment, body signal and/or the iterative analysis of impression come
The practical memory state of record and theoretical memory state.And show the external world in a manner of showing the mark with mapping association
Condition variation, body signal variation, impression variation and practical memory state variation tendency, with color change, sound and/or
The mode of vibration reminds the extreme variation trend of the practical memory state of user, and/or display to change practical memory state
It is recommended that.
It should be noted that above-mentioned specific embodiment is exemplary, those skilled in the art can disclose in the present invention
Various solutions are found out under the inspiration of content, and these solutions also belong to disclosure of the invention range and fall into this hair
Within bright protection domain.It will be understood by those skilled in the art that description of the invention and its attached drawing are illustrative and are not
Constitute limitations on claims.Protection scope of the present invention is limited by claim and its equivalent.
Claims (10)
1. a kind of memory training device for the elderly, include at least respectively with data analysis module according to wired and/or
Wireless mode connection inputs the data interaction module of practical memory status information for automatic collection and/or by user, uses
Believe in the data acquisition module for acquiring body signal in a manner of cither indirectly or directly contacting user's body and for storing data
The memory module of breath, wherein the data analysis module is determined corresponding with the body signal using memory parser
Theoretical memory status information；
It is characterized in that,
The data analysis module is based on impression, real-time memory status information and/or external condition input by user and completes institute
The analysis and correction of theoretical memory state variation tendency are stated,
Foreseeable time point beyond critical value theoretical memory state variation tendency according to impression input by user, institute
Practical memory status information, body signal and external condition mode classification storage associated with each other are stated to the storage mould
Block, wherein
The data analysis module forms theoretical memory state variation tendency based on above-mentioned data information associated with each other and exceeds
The boundary trigger condition of critical value, and
The correlation of the practical memory status information and the boundary trigger condition of user is analyzed, and is carried based on the correlation
Before make early warning, push memory training program and/or improve external condition suggestion.
2. memory training device as described in claim 1, which is characterized in that
The memory training device further includes the memory test module being electrically connected with the data analysis module, wherein institute
It states memory test module and applies the memory that can obtain user to user in a manner of text, voice, video and/or figure
The test information of status information, the data interaction module determine memory state based on the feedback result of the test information
Variation tendency,
The data analysis module analyzes note based on the variation tendency of the boundary trigger condition and/or the memory state
Recall the teaching process of power training, wherein at least two extreme memory status informations determined according to the teaching process are come pre-
First configure the parameter of memory parser.
3. memory training device as described in claim 1, which is characterized in that the memory test module is with text, language
The mode of sound, video and/or figure applies the test information that can obtain the memory status information of user, and institute to user
Data interaction module automatic collection test feedback information corresponding with the test information is stated, simultaneously
The body signal corresponding with the test feedback information of the data collecting module collected user, impression input by user
And/or external condition,
The data analysis module be based on the test feedback information, the external condition, it is described it is input by user experience and/or
The body signal is pre-configured with the parameter of memory parser, and correcting theory memory status information.
4. memory training device as claimed in claim 2, which is characterized in that the data analysis module is based on constant
Ground qualitatively and/or quantitatively adjusts the theoretical memory status information and generates and the relevant user's memory configuration of active user
File, and
Based on the boundary trigger condition, the variation tendency of the memory state and/or user's memory configuration file
To analyze the teaching process of memory training.
5. memory training device as claimed in claim 4, which is characterized in that the data analysis module record causes user
Practical memory state external condition and stored to the storage in the form of with corresponding practical memory state relation
Module stores current memory status information input by user and the external condition in a manner of associated with each other to institute
Memory module is stated, and
After analyzing the correlation of the specific memory state of user and the external condition, based on the correlation to institute
The initiation for stating certain memory power state carries out push memory training program.
6. the memory training device as described in one of preceding claims, which is characterized in that
The data analysis module analyzes the corresponding theoretical memory state that determines based on the body signal of acquisition, and
In the form of text, voice, video and/or figure export stimulus information with change the external condition and/or directly to
User provides memory training to improve the current memory state of user.
7. memory training device as claimed in claim 6, which is characterized in that current memory status information input by user
It is stored in a manner of associated with each other to the memory module with the practical relevant external condition of memory status information,
User retrieves the practical memory state letter by the data interaction module according to the relevant mode of external condition
Breath.
8. memory training device as claimed in claim 7, which is characterized in that the data analysis module is according to the reality
Memory status information analyzes the theoretical memory state of determination to correct based on the body signal of acquisition, by the theory after correcting
The memory management configuration file that memory state is constituted is stored in the way of it can be retrieved according to body signal to described
Memory module.
9. memory training device as claimed in claim 8, which is characterized in that the data analysis module was based on to per a period of time
At least one external condition, body signal and/or the iterative analysis of impression carved are remembered to record practical memory state and theory
Recall power state, and
The data interaction module shows that change of external conditions, body signal become in a manner of showing with the mark of mapping association
Change, the variation tendency of impression variation and practical memory state, user is reminded in a manner of color change, sound and/or vibration
The extreme variation trend of practical memory state, and/or display change the suggestion of practical memory state.
10. a kind of memory training method for the elderly includes at least：
Automatic collection and/or practical memory status information is inputted by user；
Body signal is acquired in a manner of cither indirectly or directly contacting user's body；
Theoretical memory state corresponding with the body signal is determined based on preset data base manipulation memory parser
Information；
It is characterized in that,
The theoretical memory state is completed based on impression, real-time memory status information and/or external condition input by user
The analysis and correction of variation tendency,
Foreseeable time point beyond critical value theoretical memory state variation tendency according to impression input by user, institute
State practical memory status information, body signal and external condition mode classification storage associated with each other, wherein
Boundary of the theoretical memory state variation tendency beyond critical value is formed based on above-mentioned data information associated with each other to trigger
Condition,
The correlation of the practical memory status information and the boundary trigger condition of user is analyzed, and is carried based on the correlation
Before make early warning, push memory training program and/or improve external condition suggestion.
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| CN201810217913.7A CN108461125B (en) | 2018-03-16 | 2018-03-16 | Memory training device for the elderly |
| CN202111225037.0A CN113990498A (en) | 2018-03-16 | 2018-03-16 | User memory state early warning system and method |
| CN202111225068.6A CN113990450A (en) | 2018-03-16 | 2018-03-16 | Auxiliary system and method for improving memory state of user |
| CN202111224990.3A CN113990497A (en) | 2018-03-16 | 2018-03-16 | Memory impairment prevention system and method |
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| CN202111225068.6A Division CN113990450A (en) | 2018-03-16 | 2018-03-16 | Auxiliary system and method for improving memory state of user |
| CN202111224990.3A Division CN113990497A (en) | 2018-03-16 | 2018-03-16 | Memory impairment prevention system and method |
| CN202111225037.0A Division CN113990498A (en) | 2018-03-16 | 2018-03-16 | User memory state early warning system and method |
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| CN202111225037.0A Pending CN113990498A (en) | 2018-03-16 | 2018-03-16 | User memory state early warning system and method |
| CN202111225068.6A Pending CN113990450A (en) | 2018-03-16 | 2018-03-16 | Auxiliary system and method for improving memory state of user |
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| CN108461125B (en) | 2021-11-05 |
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