CN106691441A - Attention training system based on brain electricity and movement state feedback and method thereof - Google Patents
Attention training system based on brain electricity and movement state feedback and method thereof Download PDFInfo
- Publication number
- CN106691441A CN106691441A CN201611198004.0A CN201611198004A CN106691441A CN 106691441 A CN106691441 A CN 106691441A CN 201611198004 A CN201611198004 A CN 201611198004A CN 106691441 A CN106691441 A CN 106691441A
- Authority
- CN
- China
- Prior art keywords
- analytical equipment
- signal
- sensor
- feedback
- application program
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1118—Determining activity level
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/6803—Head-worn items, e.g. helmets, masks, headphones or goggles
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7225—Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Animal Behavior & Ethology (AREA)
- Veterinary Medicine (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Surgery (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Signal Processing (AREA)
- Psychiatry (AREA)
- Physiology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Psychology (AREA)
- Power Engineering (AREA)
- Acoustics & Sound (AREA)
- Anesthesiology (AREA)
- Hematology (AREA)
- Dentistry (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The invention discloses an attention training system based on brain electricity and movement state feedback and a method thereof; the training system comprises a calculation analysis device and a signal collecting device; the signal collecting device comprises at least one sensor; the calculation analysis device is connected with at least one sensor to acquire the collecting signal of the sensor; at least one sensor comprises a brain electricity sensor for detecting the brain electricity signal and/or a movement sensor for collecting the movement state; the calculation analysis device comprises a signal receiving module, a processing analysis module, a feedback instruct module and an application program module. The attention training system based on brain electricity and movement state feedback and the method thereof can effectively solve the symptoms of inattention, hyperactivity and other various behavior disorders.
Description
Technical field
The present invention relates to the training system and training method of information interaction system, more particularly to one kind is based on brain electricity and motion
The notice training system and method for feedback of status.
Background technology
It is being related to physiology, psychology or medical domain, and clinical psychology, psychiatry or healthy rehabilitation neck
Domain, attention deficit hyperactivity disorder is probably one of most common learning disorder.Its symptom includes absent minded, more dynamic, punching
It is dynamic, a people can be influenceed in school, every ability of work and family.According to associated estimated, the children more than 10% are examined
Break and such case.
In the past ten years, the diagnosis of hyperactivity exponentially increases.However, therapeutic scheme still relatively lags behind, examine
Disconnected children's quantity occupies 3% U.S. population.Some patients treat by drug administration, and these medicines are accompanied by certain
Side effect, including anorexia, face spasm, bigoted, the thought of suicide, or even sudden death.
Caused by human thinking activity, neuron activity, in the electric signal that scalp region is produced be head through skull
Skin EEG signals.Continuing to develop and studying with science and technology, there is a growing awareness that electroencephalogram is nervous physiology clinical examination
Important means.Collection, parsing, storage and Display Technique to EEG signals are the core technology of brain electricity monitoring, brain wave acquisition
The electroencephalogram situation of change of measured can intuitively be shown, so that intuitively understand the psychology and the state of mind of measured,
Situations such as example whether notice is concentrated, can be also used for detect the nervous system disease, such as hyperactivity, dementia, epilepsy, depression,
Schizophrenia or auditory nerve lesion etc..
It would therefore be highly desirable to occur a kind of by detecting EEG signals and being analyzed so as to cognition can be improved with reference to motion state
Function or treatment psychology, the training system of behavior disorder.
The content of the invention
In order to overcome the above-mentioned deficiency of prior art, the invention provides a kind of active noise reduction acquisition system, by active
Signal can amplified, filtered and analog-to-digital conversion by noise reduction electrode close to collection point, the data signal of the smaller noise of final output.
The present invention relates to physiology, psychology, medical domain, can be used for clinical psychology, it can also be used to psychiatry, healthy rehabilitation neck
Domain.
To realize object above, the invention provides following technical scheme：
Notice training system based on brain electricity with motion state feedback, including calculating analytical equipment and signal acquisition set
Standby, signal collecting device includes at least one sensor, calculates analytical equipment and connects at least one sensor acquisition sensing
The collection signal of device；
At least one sensor is included for detecting the eeg sensor of EEG signals and/or for gathering motion state
Motion sensor；
Calculating analytical equipment includes signal receiving module, Treatment Analysis module, feedback command module and application program module；
The signal receiving module includes at least one sensor passage, the letter for receiving the collection of at least one sensor
Number；
The Treatment Analysis module is used to amplify collection signal, filters and frequency-region signal conversion, and for signal
It is analyzed generation analysis result；
The analysis result that the feedback command module is used to be produced according to Treatment Analysis module produces feedback command；
The application program module receives the control parameter of adjustment application program after the feedback command, the application program
The output interface and/or output sound of application program are controlled according to control parameter.
Preferably, motion sensor includes acceleration transducer, gyroscope and/or camera head.
Preferably, at least one sensor is arranged in wear-type measurement apparatus, and the wear-type measurement apparatus connect institute
State calculating application apparatus.
Preferably, wear-type measurement apparatus also include wireless transceiver, and the wireless transceiver is used to collect the sensing
The calculating application apparatus is wirelessly transmitted to by communication after device collection signal.
Preferably, communication includes Bluetooth communication, infrared communication, near-field communication and/or Wifi communication.
Preferably, calculating analytical equipment includes display device, and the display device is used to show that application program module is exported
Interface and feedback interface.
Preferably, calculating analytical equipment includes interactive input device, and the interactive input device uses defeated for measured
Enter command information.
Present invention also offers a kind of notice training method fed back with motion state based on brain electricity, specifically include following
Step：
S1：System starts and starts, and measured carries out operating interactive with analytical equipment is calculated；
S2：EEG signals and/or motion letter that measured produces in reciprocation are gathered by least one sensor
Number, then will collection signal transmission to calculating analytical equipment；
S3：Calculate analytical equipment and the collection signal is received by signal receiving module；
S4：Calculate the analyzing and processing that analytical equipment is acquired signal by Treatment Analysis module；
S5：Analytical equipment is calculated by feedback command module according to the signal generation feedback command after analyzing and processing；
S6：The feedback command is adjusted application program by the application program module for calculating analytical equipment as |input paramete
Control parameter；
S7：The application program module for calculating analytical equipment adjusts the output of application program according to the control parameter after adjustment；
S8：Analytical equipment is calculated by the output interface after adjustment and/or output sound feedback in measured；
S9：Measured according to feedback with calculate analytical equipment interact when adjust oneself notice and/or
Motion state.
Preferably, feedback command is used for the feedback for rewarding prompting and/or punishment prompting.
Preferably, include amplifying collection signal when the Treatment Analysis module is acquired the analyzing and processing of signal, filter
Ripple and frequency-region signal are converted.
Preferably, it is further comprising the steps of：
S9：Analytical equipment is calculated according to the signal generation analyze data after being analyzed and processed in step S3, the analyze data
Including notice score and/or motion scores, calculate analytical equipment and notice score and/or motion scores are formed into visualization again
Chart.
S10：Calculate analytical equipment the test data arrangement of measured is stored in individual database.
Preferably, the Treatment Analysis module of analytical equipment is calculated using the ratio of the β wavelength of EEG signals and θ wavelength as note
The calculating parameter of power score of anticipating.
Compared with prior art, the present invention is provided the notice training system fed back with motion state based on brain electricity and side
Method, has the advantages that：
What the present invention was provided utilizes neural feedback based on brain electricity with the notice training system and method for motion state feedback
Based on electroencephalogram (EEG) and the feedback based on motion state, be applied in a kind of user's concentration training for treatment, Ke Yiyou
Effect solve it is absent minded, move, and other various actions obstacles symptom；Training method is provided, subject is realized
With the two-way training process of training system, training effectiveness is improve, substantially reduce the training time.
Brief description of the drawings
By the detailed description made to non-limiting example made with reference to the following drawings of reading, it is of the invention other
Feature, objects and advantages will become more apparent upon：
Fig. 1 is the structural representation based on brain electricity with the notice training system of motion state feedback of the embodiment of the present invention
Figure；
Fig. 2 is that the structure of the notice training system fed back with motion state based on brain electricity of another embodiment of the present invention is shown
It is intended to；
Fig. 3 is the structural representation of the wear-type measurement apparatus of the embodiment of the present invention；
Fig. 4 is being illustrated with the flow of the notice training method of motion state feedback based on brain electricity for the embodiment of the present invention
Figure.
Specific embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
A part of embodiment of the present invention, rather than whole embodiments.Present invention implementation generally described and illustrated in accompanying drawing herein
The component of example can be arranged and designed with a variety of configurations.Therefore, reality of the invention below to providing in the accompanying drawings
The detailed description for applying example is not intended to limit the scope of claimed invention, but is merely representative of selected implementation of the invention
Example.Based on the embodiment in the present invention, what those of ordinary skill in the art were obtained under the premise of creative work is not made
Every other embodiment, belongs to the scope of protection of the invention.
In addition, the technical scheme between each embodiment of the invention can be combined with each other, but must be general with this area
Logical technical staff can be implemented as basis, when the combination appearance of technical scheme is conflicting or cannot realize it will be understood that this
The combination of technical scheme does not exist, not within the protection domain of application claims yet.
The utility model is further described with exemplary embodiment below in conjunction with the accompanying drawings, wherein if it is known that technology
Detailed description be unnecessary for showing feature of the present utility model, then omitted.
Fig. 1 is the structural representation based on brain electricity with the notice training system of motion state feedback of the embodiment of the present invention
Figure, includes calculating analytical equipment 200 and signal collecting device based on brain electricity with the notice training system of motion state feedback
100, signal collecting device 100 includes at least one sensor, calculates analytical equipment 200 and connects at least one sensor acquisition biography
The collection signal of sensor；
At least one sensor include for detect EEG signals eeg sensor 101 and/or for gather motion shape
The motion sensor 102 of state；
Calculating analytical equipment 200 includes signal receiving module 201, Treatment Analysis module 202, the and of feedback command module 203
Application program module 204；
Signal receiving module 201 includes at least one sensor passage, the letter for receiving the collection of at least one sensor
Number；
Treatment Analysis module 202 is used to amplify collection signal, filters and frequency-region signal conversion, and for entering to signal
Row analysis produces analysis result；
The analysis result that feedback command module 203 is used to be produced according to Treatment Analysis module 202 produces feedback command；
Application program module 204 receives the control parameter of adjustment application program after feedback command, and application program is according to control
The output interface and/or output sound of state modulator application program.Application program module 204 can be the computer trip for performing
Play.
Motion sensor 102 includes acceleration transducer, gyroscope and/or camera head.
Motion sensor 102 is used for the sensor configuration of the head movement for detecting user, can detect and record
Known any sensor of user movement.
Fig. 2 is that the structure of the notice training system fed back with motion state based on brain electricity of another embodiment of the present invention is shown
It is intended to, after signal collecting device 100 also includes that wireless transceiver 103, wireless transceiver 103 are used for collecting sensor collection signal
Calculating analytical equipment 200 is wirelessly transmitted to by communication protocol.Communication protocol includes Bluetooth communication, infrared communication, near-field communication
(Near Field Communication) and/or Wifi communicate.
Signal collecting device 100 is arranged in wear-type measurement apparatus, and the connection of wear-type measurement apparatus calculates analytical equipment
200。
Referring to Fig. 2, calculating analytical equipment 200 includes display device 21, and display device 21 is used to show application program module
The interface of output and feedback interface.Calculating analytical equipment 200 also includes interactive input device 22, and interactive input device 22 is used for quilt
Survey person uses the input equipments such as input instruction information, such as keyboard or mouse.
Fig. 3 is the structural representation of the wear-type measurement apparatus of the embodiment of the present invention；
Signal collecting device 100 is configured to measure the brain activity of user, including one or more eeg signal acquisitions
Electrode sensor 101, motion sensor 102 and collection sensor signal wireless transceiver 103.In the present embodiment, believe
Number collecting device 100 is that wear-type can be the helmet, cap or scarf etc..Additionally, motion sensor 102 can be arranged at individually
Device in.
Signal collecting device 100 includes the electrode sensor of multiple embedded or dismountable measurement user's brain activity
101.The electric signal, or one kind that electrode sensor 101 can conduct the brain from user using electrolyte gel are matched somebody with somebody
It is set to the dry sensors of the skin of directly contact user.
In operation, signal collecting device 100 obtains the electric signal for representing user's brain activity from electrode sensor 101,
And these signal digitlizations for measuring are sent in calculating analytical equipment 200, dress calculates analytical equipment 200 and performs corresponding control
Application program processed.Signal collecting device 100 is also included to the measurement of impedance between eeg sensor 101 and skin as contacting matter
Amount, and in certain embodiments, also interference can be gone as EEG signals, these signals are then sent to calculating analytical equipment
200.Interference also includes the AC influence produced by neighbouring power line and electronic equipment.
The control performed on analytical equipment 200 is calculated is applied and continuously processes these signals for receiving, and
Processed on the basis of this, generated one " notice score " or " motion scores ", then by " notice score " and " motion
Score " or is connected in other computer interfaces and uses and show as the |input paramete of control application program.Purpose is prize
Encouraging measured more absorbed in a specific task, or reduce notice to user carries out certain punishment, so as to cultivate use
Family concentration, reduces hyperactivity symptom.Or reward sedentary user and punishment do not sit or agitation user.
In more detail, the control application program for being performed in analytical equipment 200 is calculated is connect by multiple sensor passages
The signal of the sensor collection from signal collecting device 100 is received, the signal received in each sensor channel is converted into frequency
Domain signal is used.For example, in the Fourier transform of a period of time, applying frequency is α, β, δ and θ brain wave wave band.By adjustment
Traditional α of personal user, β, δ and θ brain wave wavelength band can be with the E.E.G intensity of self adaptation each age group measured.
The current absorbed state feature of the control application fetches user that analytical equipment 200 is performed is being calculated, with reference to specific
The wave band of eeg sensor 101 data, derive one in real time, accurately " absorbed fraction ", this fraction can be as defeated
The reference for entering parameter sends into applying or carries the representative user's body motion of the measurement of motion sensor 102 or the measurement of motion
Other computer programs of " sports scores " of information.Applying but will be absorbed in being not limited to game application or in the case of training
Power score and motion scores be coupled to successfully, speed, strength or another preferable quality be a kind of attention row of psychology reinforcing
For so as to as the basis of neural feedback and motion feedback mechanism.
Wherein, the present embodiment calculates the control of application program in analytical equipment 200 and exports includes a backfeed loop, uses
The measured value of the brain activity, body kinematics and cognitive ability at family is input to application program as |input paramete, so as to control
The execution and output of application program.User observation feedback after application program output interface or output voice recognition reward or
Punishment, and then make the adjustment of self brain and behavior, the follow-up brain activity to measured of influence, body kinematics and awareness
The measurement of energy, further feeds back.This backfeed loop reaches cognitive function, psychology or behavior such as the passage of time
The treatment and the lasting improvement of other attention disorders such as hyperactivity of obstacle.
In certain embodiments, calculate analytical equipment 200 and set up the communication chain with server apparatus that are local or concentrating
Road, the user in equipment tracking user profile interacts the session progress for being with analytical equipment is calculated.Session
Data potentially include average value, the histogram of value, complete documentation of data etc..Additionally, configuration file can store other information
Such as the identity and the time and date of their training course of user.This information can be retrieved, and calculate analytical equipment 200 and be
The current level of skill of each user carries out personalized and acclimatization training, and provides a progressive learning curve.The configuration
File can also can be allowed these people to be examined within a period of time and be monitored each by user, guardian or supervisor's online access
Plant visual performance, the fraction and index of movable and improved user.
The Treatment Analysis module 202 of calculating analytical equipment 200 is true by the neural feedback signal that eeg sensor 101 is provided
Determine the level of β/θ ratios of user, instruction user concern or concern.β/θ ratios are higher, and the concern level of user is higher；β/θ ratios are got over
Low, user concern level is lower.
An index of the concern level of user is used for the invention is not restricted to β/θ, in other embodiments, can be based on
Whether the β frequencies of user's EEG signals fall in very narrow β ripple range of target frequencies as index.Or can using one or
Multiple does not determine the concern level of user in other frequencies of β and θ wave bands.
In certain embodiments, neural feedback and/or the feedback signal of motion are compared with the predetermined threshold of setting, can
It is consistent with the historical basis of dynamic adjustment and user.Particularly, user keeps notice concentration and/or remains stationary motionless
Ability constantly measurement and capture when playing in gaming, finally score；Then, these fractions can be used to then change one
Or multiple predetermined threshold values.For example：If the fraction of user shows user and increased concern ability, and/or user is still relative
Static, predetermined threshold value may increase；If the fraction representation user of user reduces concern ability, and/or user fortune
Dynamic excessive, predetermined threshold value may be reduced.
Fig. 4 is being illustrated with the flow of the notice training method of motion state feedback based on brain electricity for the embodiment of the present invention
Figure, following steps are specifically included based on brain electricity with the notice training method of motion state feedback：
S1：Measured carries out operating interactive with analytical equipment is calculated；
S2：EEG signals and/or motion letter that measured produces in reciprocation are gathered by least one sensor
Number, collection signal transmission is extremely then calculated into analytical equipment 200；
Specifically, detect the brain state and motion state of user respectively by eeg sensor and motion sensor, then
Output based on user brain activity measurement and user motion signal to calculating analytical equipment 200.Additionally, signal acquisition
Equipment 100 can also collect the signal from other sensors to calculating analytical equipment 200, including eeg sensor, motion are passed
Sensor, temperature sensor, sign EGC sensor etc., the signal of collection can be that data signal can also be analog signal.
S3：Calculate analytical equipment and the collection signal is received by signal receiving module；
S4：Calculate the analyzing and processing that analytical equipment is acquired signal by Treatment Analysis module；
Treatment Analysis module includes amplifying collection signal when being acquired the analyzing and processing of signal, filters and frequency-region signal
Conversion.Wherein, the Treatment Analysis module of analytical equipment is calculated using the ratio of the β wavelength of EEG signals and θ wavelength as notice
The calculating parameter of score.
Specifically, calculating the process circuit that the application program controlling performed in analytical equipment 200 is calculated in analytical equipment 200
Or algorithm software carrys out the characteristic signal of Treatment Analysis collection.Control circuit or algorithm software including application program are carried out to signal
Spectrum analysis, and to be input into signal be filtered to remove noise.
S5：Analytical equipment is calculated by feedback command module according to the signal generation feedback command after analyzing and processing；Feedback
Instruction includes reward prompting and/or punishment prompting.
S6：The feedback command is adjusted application program by the application program module for calculating analytical equipment as |input paramete
Control parameter；
S7：The application program module for calculating analytical equipment adjusts the output of application program according to the control parameter after adjustment；
Specifically, by application program controlling Processing Algorithm in the signal results that have treated, brain electricity being calculated again
Feedback and motion feedback, and input of these assay values as user's application of function on analytical equipment 200 is calculated is provided.Function
Applications exploiting these input values, are the result in one or more task of user's generation, the performance of feedback one and user
Related phenomenon to user, as indicated in block 44.
S8：Analytical equipment is calculated by the output interface after adjustment and/or output sound feedback in measured；
S9：Measured according to feedback with calculate analytical equipment interact when adjust oneself notice and/or
Motion state.
Specifically, phenomenon of the measured according to feedback output, transformation or holding factum performance, what is drawn oneself up is special
Note power and motion state, referring to Fig. 4, repeat step S2 to step S9 again, by eeg sensor 101 and motion sensor
102 measure again.
Preferably, it is further comprising the steps of：
S10：Analytical equipment is calculated according to the signal generation analyze data after being analyzed and processed in step S2, analyze data includes
Notice score and/or motion scores, calculate analytical equipment and notice score and/or motion scores are formed into visualization figure again
Table.
S11：Calculate analytical equipment the test data arrangement of measured is stored in individual database.
Calculating analytical equipment 200 can will export the information Store for feeding back to user in a memory or a computer
On, checking and managing for measured, household or Medical Technologist is facilitated, facilitate to the concentration analysis of measured and instruction
Practice the understanding control of progress.
The control application program of analytical equipment 200 is calculated by the concentration result and user-association of user, and these are believed
Breath storage is in individual database.Application program can generate various visualization data targets on the basis of analysis, such as figure,
Chart or form etc., facilitate related personnel and concentration status data are checked.
The present invention, being capable of nothing at one by providing a kind of method for improving cognitive function or treatment psychology or behavior disorder
Performed on the computing device of line communication, computing device may be connected to one or more sensors, the computing device includes and user
The execution interactive application for being interacted.When user and application program produce interaction, computing device is received
Signal from one or more sensors.When user produces interaction with application program, the signal shows the brain of user
Activity and amount of exercise.Based on received sensor signal, computing device calculates one when user is mutual with application program
During effect, the fraction of instruction user concentration level, and when user and application program interact, represent the fortune of user movement
Dynamic fraction.These fractions are fed back in application program, to control the execution of application program, and provide feedback to user.
Calculating analytical equipment 200 of the invention can call access third party software interface by application programming interface
Notice fraction, sports scores and other data.
These are only present pre-ferred embodiments, be not used to limitation the present invention, it is all the spirit and principles in the present invention it
Interior done modification, equivalent and improvement etc., are required to be included within protection scope of the present invention.
Claims (10)
1. the notice training system for being fed back with motion state based on brain electricity, it is characterised in that including calculating analytical equipment and letter
Number collecting device；Signal collecting device includes at least one sensor, and the calculating analytical equipment connection described at least one is passed
Sensor obtains the collection signal of sensor；
At least one sensor is included for detecting the eeg sensor of EEG signals and/or the motion for gathering motion state
Sensor；
Calculating analytical equipment includes signal receiving module, Treatment Analysis module, feedback command module and application program module；It is described
Signal receiving module includes at least one sensor passage, the signal for receiving the collection of at least one sensor；The treatment
Analysis module is used to amplify collection signal, filters and frequency-region signal conversion, and for being analyzed generation analysis to signal
As a result；The analysis result that the feedback command module is used to be produced according to Treatment Analysis module produces feedback command；The application
Program module receives the control parameter of adjustment application program after the feedback command, and the application program is according to control parameter control
The output interface and/or output sound of application program.
2. it is according to claim 1 based on the electric notice training system with motion state feedback of brain, it is characterised in that institute
Stating motion sensor includes acceleration transducer, gyroscope and/or camera head.
3. it is according to claim 1 based on the electric notice training system with motion state feedback of brain, it is characterised in that institute
Stating signal collecting device also includes wireless transceiver, and the wireless transceiver is used to collecting after sensor collection signal with nothing
Line communication mode is sent to the calculating analytical equipment.
4. it is according to claim 1 based on the electric notice training system with motion state feedback of brain, it is characterised in that institute
State signal collecting device to be arranged in wear-type measurement apparatus, the wear-type measurement apparatus connect the calculating analytical equipment.
5. it is according to claim 1 based on the electric notice training system with motion state feedback of brain, it is characterised in that institute
Stating calculating analytical equipment includes display device and interactive input device, and the display device is used to show that application program module is exported
Interface and feedback interface；The interactive input device is used for measured and uses input instruction information.
6. it is a kind of based on the electric notice training method with motion state feedback of brain, it is characterised in that to specifically include following steps：
S1：Measured carries out operating interactive with analytical equipment is calculated；
S2：EEG signals and/or motor message that measured produces in reciprocation are gathered by least one sensor, so
Afterwards will collection signal transmission to calculating analytical equipment；
S3：Calculate analytical equipment and the collection signal is received by signal receiving module；
S4：Calculate the analyzing and processing that analytical equipment is acquired signal by Treatment Analysis module；
S5：Analytical equipment is calculated by feedback command module according to the signal generation feedback command after analyzing and processing；
S6：The feedback command is adjusted the control of application program by the application program module for calculating analytical equipment as |input paramete
Parameter processed；
S7：The application program module for calculating analytical equipment adjusts the output of application program according to the control parameter after adjustment；
S8：Analytical equipment is calculated by the output interface after adjustment and/or output sound feedback in measured；
S9：Measured adjusts notice and/or the motion of oneself according to feedback when being interacted with calculating analytical equipment
State.
7. it is according to claim 6 based on the electric notice training method with motion state feedback of brain, it is characterised in that institute
State feedback command for reward prompting and/or punishment point out feedback.
8. it is according to claim 6 based on the electric notice training method with motion state feedback of brain, it is characterised in that institute
Stating includes amplifying collection signal when Treatment Analysis module is acquired the analyzing and processing of signal, filters and frequency-region signal conversion.
9. it is according to claim 6 based on the electric notice training method with motion state feedback of brain, it is characterised in that also
Comprise the following steps：
S10：Analytical equipment is calculated according to the signal generation analyze data after being analyzed and processed in step S2, the analyze data includes
Notice score and/or motion scores, calculate analytical equipment and notice score and/or motion scores are formed into visualization figure again
Table；
S11：Calculate analytical equipment the test data arrangement of measured is stored in individual database.
10. according to claim 9 based on the electric notice training method with motion state feedback of brain, it is characterised in that
Calculate the Treatment Analysis module of analytical equipment using the ratio of the β wavelength of EEG signals and θ wavelength as notice score calculating
Parameter.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611198004.0A CN106691441A (en) | 2016-12-22 | 2016-12-22 | Attention training system based on brain electricity and movement state feedback and method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611198004.0A CN106691441A (en) | 2016-12-22 | 2016-12-22 | Attention training system based on brain electricity and movement state feedback and method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106691441A true CN106691441A (en) | 2017-05-24 |
Family
ID=58938747
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611198004.0A Pending CN106691441A (en) | 2016-12-22 | 2016-12-22 | Attention training system based on brain electricity and movement state feedback and method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106691441A (en) |
Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107157488A (en) * | 2017-06-28 | 2017-09-15 | 重庆金康特智能穿戴技术研究院有限公司 | A kind of monitoring and correction children ADHD system based on Intelligent worn device |
| CN108492855A (en) * | 2018-03-16 | 2018-09-04 | 佛山市丈量科技有限公司 | A kind of apparatus and method for training the elderly's attention |
| CN109199364A (en) * | 2018-09-30 | 2019-01-15 | 浙江大学宁波理工学院 | Application based on cardiac electrical focus curve generation method and segmentation instructional video |
| CN109754866A (en) * | 2019-01-02 | 2019-05-14 | 浙江强脑科技有限公司 | Attention training method, device and computer readable storage medium |
| WO2019214445A1 (en) * | 2018-05-11 | 2019-11-14 | 深圳市心流科技有限公司 | Teaching method and apparatus for improving attention, and computer-readable storage medium |
| CN110522447A (en) * | 2019-08-27 | 2019-12-03 | 中国科学院自动化研究所 | Attentional regulation system based on brain-computer interface |
| CN110543828A (en) * | 2019-08-08 | 2019-12-06 | 南京励智心理大数据产业研究院有限公司 | Student attention analysis system based on wearable device and multi-mode intelligent analysis |
| CN110882465A (en) * | 2019-12-25 | 2020-03-17 | 厦门大学 | Attention training system and method based on electroencephalogram and motion state feedback |
| CN111603160A (en) * | 2020-05-21 | 2020-09-01 | 江苏学典教育科技有限公司 | Concentration training method based on child electroencephalogram physiological parameter acquisition and emotion detection |
| CN112136053A (en) * | 2018-05-23 | 2020-12-25 | 认知系统公司 | Training data for motion detection systems using data from sensor devices |
| CN112363627A (en) * | 2020-11-26 | 2021-02-12 | 西安慧脑智能科技有限公司 | Attention training method and system based on brain-computer interaction |
| CN112545517A (en) * | 2020-12-10 | 2021-03-26 | 中国科学院深圳先进技术研究院 | Attention training method and terminal |
| CN112754482A (en) * | 2021-02-10 | 2021-05-07 | 上海念通智能科技有限公司 | Wearable device for detecting attention of autism children based on electroencephalogram |
| CN113197585A (en) * | 2021-04-01 | 2021-08-03 | 燕山大学 | Neuromuscular information interaction model construction and parameter identification optimization method |
| CN113786203A (en) * | 2021-07-30 | 2021-12-14 | 上海赛增医疗科技有限公司 | Head motion and electroencephalogram signal composite acquisition device, method and system |
| CN114159077A (en) * | 2022-02-09 | 2022-03-11 | 浙江强脑科技有限公司 | Meditation scoring method, device, terminal and storage medium based on electroencephalogram signals |
| CN114343641A (en) * | 2022-01-24 | 2022-04-15 | 广州熠华教育咨询服务有限公司 | Learning difficulty intervention training guidance method and system thereof |
| WO2022077936A1 (en) * | 2020-10-16 | 2022-04-21 | 杭州师范大学 | Electroencephalogram feedback delay-based sustained attention regulation and control system |
| WO2022077893A1 (en) * | 2020-10-16 | 2022-04-21 | 杭州师范大学 | Sustained attention regulation system for joint electroencephalogram and finger pressure feedback |
| CN114376586A (en) * | 2022-01-10 | 2022-04-22 | 深圳康瑞霖科技有限公司 | Attention training system based on memorial and electroencephalogram signal feedback |
| CN115167689A (en) * | 2022-09-08 | 2022-10-11 | 深圳市心流科技有限公司 | Human-computer interaction method, device, terminal and storage medium for concentration training |
| WO2023112042A1 (en) * | 2021-12-16 | 2023-06-22 | Bhattacharyya Neha | A multiple sensors integrating system for closer assessment of attention-deficit hyperactivity disorder (adhd) of a subject. |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100240458A1 (en) * | 2009-03-20 | 2010-09-23 | Pub Company S.R.L. | Video game hardware systems and software methods using electroencephalogrophy |
| CN101980660A (en) * | 2008-09-19 | 2011-02-23 | 松下电器产业株式会社 | Inattentiveness detecting device, inattentiveness detecting method, and computer program |
| CN103519788A (en) * | 2013-10-18 | 2014-01-22 | 南京师范大学 | Attention scenario evaluation system based on Kinect interaction |
| CN103656833A (en) * | 2013-12-24 | 2014-03-26 | 天津师范大学 | Wearable brain wave attention training instrument |
| CN104887223A (en) * | 2015-05-27 | 2015-09-09 | 杭州回车电子科技有限公司 | Wireless dry electrode EEG collection and action recognition method and system |
| CN104905802A (en) * | 2015-06-05 | 2015-09-16 | 张程 | Method for measuring attention and device |
| CN105279387A (en) * | 2015-11-17 | 2016-01-27 | 东南大学 | Execution function evaluating and training system for autism spectrum disorder children |
| CN105280044A (en) * | 2015-11-17 | 2016-01-27 | 东南大学 | Intelligent teaching system for ASD (Autism Spectrum Disorder) children |
| US20160196765A1 (en) * | 2014-12-24 | 2016-07-07 | NeuroSpire, Inc. | System and method for attention training using electroencephalography (EEG) based neurofeedback and motion-based feedback |
| CN105808970A (en) * | 2016-05-09 | 2016-07-27 | 南京智精灵教育科技有限公司 | Online cognitive assessment system and assessment method |
| CN105962935A (en) * | 2016-06-14 | 2016-09-28 | 中国医学科学院生物医学工程研究所 | Brain electrical nerve feedback training system and method for improving motor learning function |
| CN205697764U (en) * | 2016-01-22 | 2016-11-23 | 周常安 | Spectacle brain activity sensor and spectacle bioelectrical activity sensing device |
-
2016
- 2016-12-22 CN CN201611198004.0A patent/CN106691441A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101980660A (en) * | 2008-09-19 | 2011-02-23 | 松下电器产业株式会社 | Inattentiveness detecting device, inattentiveness detecting method, and computer program |
| US20100240458A1 (en) * | 2009-03-20 | 2010-09-23 | Pub Company S.R.L. | Video game hardware systems and software methods using electroencephalogrophy |
| CN103519788A (en) * | 2013-10-18 | 2014-01-22 | 南京师范大学 | Attention scenario evaluation system based on Kinect interaction |
| CN103656833A (en) * | 2013-12-24 | 2014-03-26 | 天津师范大学 | Wearable brain wave attention training instrument |
| US20160196765A1 (en) * | 2014-12-24 | 2016-07-07 | NeuroSpire, Inc. | System and method for attention training using electroencephalography (EEG) based neurofeedback and motion-based feedback |
| CN104887223A (en) * | 2015-05-27 | 2015-09-09 | 杭州回车电子科技有限公司 | Wireless dry electrode EEG collection and action recognition method and system |
| CN104905802A (en) * | 2015-06-05 | 2015-09-16 | 张程 | Method for measuring attention and device |
| CN105279387A (en) * | 2015-11-17 | 2016-01-27 | 东南大学 | Execution function evaluating and training system for autism spectrum disorder children |
| CN105280044A (en) * | 2015-11-17 | 2016-01-27 | 东南大学 | Intelligent teaching system for ASD (Autism Spectrum Disorder) children |
| CN205697764U (en) * | 2016-01-22 | 2016-11-23 | 周常安 | Spectacle brain activity sensor and spectacle bioelectrical activity sensing device |
| CN105808970A (en) * | 2016-05-09 | 2016-07-27 | 南京智精灵教育科技有限公司 | Online cognitive assessment system and assessment method |
| CN105962935A (en) * | 2016-06-14 | 2016-09-28 | 中国医学科学院生物医学工程研究所 | Brain electrical nerve feedback training system and method for improving motor learning function |
Cited By (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107157488A (en) * | 2017-06-28 | 2017-09-15 | 重庆金康特智能穿戴技术研究院有限公司 | A kind of monitoring and correction children ADHD system based on Intelligent worn device |
| CN108492855A (en) * | 2018-03-16 | 2018-09-04 | 佛山市丈量科技有限公司 | A kind of apparatus and method for training the elderly's attention |
| WO2019214445A1 (en) * | 2018-05-11 | 2019-11-14 | 深圳市心流科技有限公司 | Teaching method and apparatus for improving attention, and computer-readable storage medium |
| CN112136053A (en) * | 2018-05-23 | 2020-12-25 | 认知系统公司 | Training data for motion detection systems using data from sensor devices |
| CN112136053B (en) * | 2018-05-23 | 2023-08-18 | 认知系统公司 | Training data for a motion detection system using data from a sensor device |
| CN109199364A (en) * | 2018-09-30 | 2019-01-15 | 浙江大学宁波理工学院 | Application based on cardiac electrical focus curve generation method and segmentation instructional video |
| CN109754866A (en) * | 2019-01-02 | 2019-05-14 | 浙江强脑科技有限公司 | Attention training method, device and computer readable storage medium |
| CN110543828A (en) * | 2019-08-08 | 2019-12-06 | 南京励智心理大数据产业研究院有限公司 | Student attention analysis system based on wearable device and multi-mode intelligent analysis |
| CN110522447A (en) * | 2019-08-27 | 2019-12-03 | 中国科学院自动化研究所 | Attentional regulation system based on brain-computer interface |
| CN110522447B (en) * | 2019-08-27 | 2020-09-29 | 中国科学院自动化研究所 | Attention regulation and control system based on brain-computer interface |
| CN110882465A (en) * | 2019-12-25 | 2020-03-17 | 厦门大学 | Attention training system and method based on electroencephalogram and motion state feedback |
| CN111603160A (en) * | 2020-05-21 | 2020-09-01 | 江苏学典教育科技有限公司 | Concentration training method based on child electroencephalogram physiological parameter acquisition and emotion detection |
| WO2022077936A1 (en) * | 2020-10-16 | 2022-04-21 | 杭州师范大学 | Electroencephalogram feedback delay-based sustained attention regulation and control system |
| WO2022077893A1 (en) * | 2020-10-16 | 2022-04-21 | 杭州师范大学 | Sustained attention regulation system for joint electroencephalogram and finger pressure feedback |
| CN112363627A (en) * | 2020-11-26 | 2021-02-12 | 西安慧脑智能科技有限公司 | Attention training method and system based on brain-computer interaction |
| CN112545517A (en) * | 2020-12-10 | 2021-03-26 | 中国科学院深圳先进技术研究院 | Attention training method and terminal |
| CN112754482A (en) * | 2021-02-10 | 2021-05-07 | 上海念通智能科技有限公司 | Wearable device for detecting attention of autism children based on electroencephalogram |
| CN113197585A (en) * | 2021-04-01 | 2021-08-03 | 燕山大学 | Neuromuscular information interaction model construction and parameter identification optimization method |
| CN113786203A (en) * | 2021-07-30 | 2021-12-14 | 上海赛增医疗科技有限公司 | Head motion and electroencephalogram signal composite acquisition device, method and system |
| WO2023112042A1 (en) * | 2021-12-16 | 2023-06-22 | Bhattacharyya Neha | A multiple sensors integrating system for closer assessment of attention-deficit hyperactivity disorder (adhd) of a subject. |
| CN114376586A (en) * | 2022-01-10 | 2022-04-22 | 深圳康瑞霖科技有限公司 | Attention training system based on memorial and electroencephalogram signal feedback |
| CN114343641A (en) * | 2022-01-24 | 2022-04-15 | 广州熠华教育咨询服务有限公司 | Learning difficulty intervention training guidance method and system thereof |
| CN114159077A (en) * | 2022-02-09 | 2022-03-11 | 浙江强脑科技有限公司 | Meditation scoring method, device, terminal and storage medium based on electroencephalogram signals |
| CN114159077B (en) * | 2022-02-09 | 2022-05-31 | 浙江强脑科技有限公司 | Meditation scoring method, device, terminal and storage medium based on electroencephalogram signals |
| CN115167689A (en) * | 2022-09-08 | 2022-10-11 | 深圳市心流科技有限公司 | Human-computer interaction method, device, terminal and storage medium for concentration training |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106691441A (en) | Attention training system based on brain electricity and movement state feedback and method thereof | |
| Shaw et al. | Measurement of attentional reserve and mental effort for cognitive workload assessment under various task demands during dual-task walking | |
| Chaouachi et al. | Affect and mental engagement: Towards adaptability for intelligent | |
| US9173582B2 (en) | Adaptive performance trainer | |
| Murugappan et al. | Inferring of human emotional states using multichannel EEG | |
| Gentili et al. | Combined assessment of attentional reserve and cognitive‐motor effort under various levels of challenge with a dry EEG system | |
| US11543879B2 (en) | System for communicating sensory information with an interactive system and methods thereof | |
| Coffey et al. | Measuring workload using a combination of electroencephalography and near infrared spectroscopy | |
| Jeunet et al. | Mind the traps! Design guidelines for rigorous BCI experiments | |
| Clerico et al. | Biometrics and classifier fusion to predict the fun-factor in video gaming | |
| Tao et al. | Psychological and physiological relaxation induced by nature-working with ornamental plants | |
| Dahal et al. | Modeling of cognition using EEG: a review and a new approach | |
| Lee et al. | ADHD assessment and testing system design based on virtual reality | |
| Ali et al. | A single-channel wireless EEG headset enabled neural activities analysis for mental healthcare applications | |
| TWI491380B (en) | Focus analysis method | |
| CN113990449A (en) | Autism intervention training method and device, terminal device and readable storage medium | |
| Mahmood et al. | Introduction to Non-Invasive Biomedical Signals for Healthcare | |
| WO2024032728A1 (en) | Method and apparatus for evaluating intelligent human-computer coordination system, and storage medium | |
| Sahi et al. | Neural activity based biofeedback therapy for Autism spectrum disorder through wearable wireless textile EEG monitoring system | |
| Khushaba et al. | A neuroscientific approach to choice modeling: Electroencephalogram (EEG) and user preferences | |
| KR20220028967A (en) | Treatement apparatus and method based on neurofeedback | |
| Das et al. | A review on gaming effects on cognitive load for smart healthcare and its security | |
| Chen et al. | The use of a brain computer interface remote control to navigate a recreational device | |
| Mansour et al. | On The road to a comparative car racing EEG-based signals for mental and physical brain activity evaluation | |
| Rúnarsson | Using EEG in neurofeedbacktraining to decrease visual motionsensitivity and motion-sickness |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170524 |
|
| RJ01 | Rejection of invention patent application after publication |