CN109011097A - A kind of recovery training method based on Mental imagery and augmented reality - Google Patents
A kind of recovery training method based on Mental imagery and augmented reality Download PDFInfo
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- CN109011097A CN109011097A CN201810834728.2A CN201810834728A CN109011097A CN 109011097 A CN109011097 A CN 109011097A CN 201810834728 A CN201810834728 A CN 201810834728A CN 109011097 A CN109011097 A CN 109011097A
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- 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
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
- A63B71/0622—Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
- G06F3/015—Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
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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
- G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
-
- 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
- A61M2021/0011—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 in a subliminal way, i.e. below the threshold of sensation
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
- A63B71/0622—Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
- A63B2071/0638—Displaying moving images of recorded environment, e.g. virtual environment
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
- A63B2071/0647—Visualisation of executed movements
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2230/00—Measuring physiological parameters of the user
- A63B2230/08—Measuring physiological parameters of the user other bio-electrical signals
- A63B2230/10—Measuring physiological parameters of the user other bio-electrical signals electroencephalographic signals
- A63B2230/105—Measuring physiological parameters of the user other bio-electrical signals electroencephalographic signals used as a control parameter for the apparatus
Abstract
The invention discloses a kind of recovery training method based on Mental imagery and augmented reality, the recovery training method combines Mental imagery with augmented reality, it collapses from physical exhaustion the very faint feature of phase patient motion ability for cerebral apoplexy, the rehabilitation training mode based on Mental imagery of design, the EEG signals of patient are acquired, handled and analyzed, based on Mental imagery, by off-line training and On-line Control, to realize the control to rehabilitation scene；Real scene is obtained using Kinect scanning technique, pass through augmented reality, dummy object is added in real scene, achieve the effect that enhance reality, patient can realize the control to dummy object in real scene by Mental imagery mode, complete corresponding task, which greatly enhances the enthusiasm of Rehabilitation training, so as to achieve the effect that brain function is remolded, and then be conducive to the rehabilitation of patient.The present invention substantially increases the enthusiasm of Rehabilitation training, can achieve the effect that brain function is remolded.
Description
Technical field
The present invention relates to a kind of recovery training method based on Mental imagery and augmented reality, belongs to rehabilitation project, brain machine
The fields such as interface, augmented reality and nerve control.
Background technique
According to World Health Organization, worldwide cerebral apoplexy has become the death original for being only second to cancer and coronary heart disease
Cause.In recent years, with the continuous aggravation of Chinese society aging degree, the dyskinesia patient number due to caused by cerebral apoplexy
Amount just continues to increase, and brings heavy burden to family and society.
Traditional clinical rehabilitation training effectiveness is low, collapses from physical exhaustion phase patient especially for cerebral apoplexy, rehabilitation course is dull, patient
It is poor to participate in initiative, so that recovery period extends.
Human body is constantly applied to the further investigated and research, brain-computer interface technology of modern times nervous centralis Recovery mechanism
Rehabilitation training.The motion intention of patient is recognized by EEG signals, and has become research heat as reference control rehabilitation scene
One of point.
It is own through becoming the forward position studied both at home and abroad and hot spot that augmented reality is applied to rehabilitation field at present.Both at home and abroad
Researcher has been carried out in terms of motion function rehabilitation using technologies such as augmented reality, bio signal processing and controls largely to grind
Study carefully, however Mental imagery is combined with augmented reality and instructed applied to the collapse from physical exhaustion rehabilitation of phase patient of cerebral apoplexy by few researchs
Practice.
Summary of the invention
The present invention is directed to provide a kind of rehabilitation training based on Mental imagery and augmented reality for the cerebral apoplexy phase patient that collapses from physical exhaustion
Method carries out rehabilitation training by Mental imagery mode, is based on augmented reality, makes patient can in rehabilitation training
Higher proactive is kept, and then achievees the effect that remold brain function.
It collapses from physical exhaustion the very faint feature of phase limbs of patient locomitivity for cerebral apoplexy, designs the rehabilitation based on Mental imagery
Training mode is acquired, handles and analyzes to the EEG signals of patient, be based on Mental imagery, by off-line training and
Line traffic control to achieve the effect that brain function is remolded, and then is conducive to the rehabilitation of patient to realize the control to rehabilitation scene.
In order to solve above-mentioned technical problem, the present invention is achieved by the following technical solutions:
A kind of recovery training method based on Mental imagery and augmented reality, content include the following steps:
Step 1: it when patient selects Mental imagery control model for the first time, needs to carry out off-line training to patient first；Association
The good brain electricity cap of patient-worn is helped, patient is allowed to face screen, occurs bead and annulus on screen, patient is prompted to concentrate on, it is quasi-
It is standby to enter training；
Step 2: clicking " starting to train " button, and training starts, and starts to shrink on the screen around the annulus of bead, directly
To, annulus disappearance equal in magnitude with bead, small club is random to be moved to the left or right, and occupies left or right residence pair up to touching
Ring, and be overlapped with it, primary training terminates, and arrow prompt is had before bead is mobile；Entire training process bead total 30
Secondary movement, each random 15 times of left and right；In the training process, patient motion sensory area is acquired by the brain electricity cap of patient-worn first
EEG signals；C3 the and C4 channel position of its midbrain electricity cap contains information the most abundant when imagination opposite side hands movement, i.e.,
The motor sensory area of hand, therefore acquire by the channel C3 and C4 of brain electricity cap the EEG signals of patient；It is right after training
Collected EEG signals carry out pretreatment removal interference signal, extract fortune by common space pattern algorithm and cross-correlation function
The feature of dynamic imagination EEG signals, and be sent into support vector machines after the two features are merged and establish Classification and Identification model；
Step 3: after Classification and Identification model is established in completion, On-line Control rehabilitation training is carried out to patient；Patient is allowed to carry out left
Right-hand grip the imagination, based on the virtual rehabilitation system of multi-modal interaction by the identification disaggregated model established according to off-line training come pair
The EEG signals of patient carry out Classification and Identification, judge its motion intention, and then control the left and right fortune of dummy object in rehabilitation scene
It is dynamic, to complete rehabilitation training；
Step 4: collapsing from physical exhaustion the very faint feature of phase patient motion ability for cerebral apoplexy, right by Mental imagery mode
Patient carries out human-computer interaction training；Real scene locating for patient is obtained using Kinect scanning technique, that is, utilizes Kinect
A true space environment is scanned, patient is allow to see oneself local environment within display screen；Pass through augmented reality skill
Dummy object is added in the real space environment by Kinect scanning by art, achievees the effect that enhance real scene, in turn
Interesting and practical rehabilitation training scene is designed to for patient；Mental imagery is combined with augmented reality, for brain soldier
In collapse from physical exhaustion phase patient the problem of lacking initiative in rehabilitation course, pass through Mental imagery mode, carry out human-computer interaction training；?
Purpose active movement is repeated in training process, effectively wakes up the neuron activity for having remaining function, and in health
During refreshment is practiced, augmented reality is added, so that patient is seen the environment locating for oneself, increases the sense of reality of rehabilitation training,
The various feedback including vision and the sense of hearing, excitation and the motivation for maintaining patient's repetition practice are provided for patient, psychotherapy is passed through
Wear rehabilitation always；So that patient is carried out rehabilitation training in augmented reality environment, and the motor skill that study obtains is moved
It moves on in true environment, to reach more preferably rehabilitation efficacy.
Compared with the prior art, the invention has the benefit that
The present invention provides a kind of recovery training method based on Mental imagery and augmented reality, by Mental imagery and enhancing
Reality technology combines, and collapses from physical exhaustion the very faint feature of phase patient motion ability for cerebral apoplexy, provides for it and is thought based on movement
The rehabilitation training mode of elephant；Real scene is obtained using Kinect scanning technique, by augmented reality, by dummy object
It is added in real scene, achievees the effect that enhance reality, patient can be realized by Mental imagery mode to real scene
Corresponding task is completed in the control of middle dummy object, and which greatly enhances the enthusiasm of Rehabilitation training, so as to reach
The effect of brain function remodeling, and then be conducive to the rehabilitation of patient.
Detailed description of the invention
Fig. 1 is a kind of overall flow knot of the recovery training method based on Mental imagery and augmented reality proposed by the present invention
Structure schematic diagram；
Fig. 2 is the position schematic diagram that brain electricity cap acquires EEG signals；
Fig. 3 is Mental imagery off-line training schematic diagram；
Fig. 4 is the augmented reality functional block diagram based on Kinect.
Specific embodiment
With reference to embodiment with attached drawing to the present invention is based on the rehabilitation training sides of Mental imagery and augmented reality
Method is described in further detail:
As shown in Figure 1, a kind of recovery training method based on Mental imagery and augmented reality of the present invention includes fortune
Dynamic imagination Classification and Identification part and human-computer interaction part, i.e., it is very faint for the cerebral apoplexy phase limbs of patient locomitivity that collapses from physical exhaustion
Feature designs the rehabilitation training mode based on Mental imagery for it, i.e., the EEG signals of patient is acquired, handles and is divided
Analysis, brain electricity cap acquisition position is as shown in Fig. 2, the position that C3 and C4 leads to corresponding human brain in brain electricity cap contains the imagination
Information the most abundant, the i.e. motor sensory area of hand when the hands movement of opposite side, therefore the brain telecommunications in the main acquisition channel patient C3, C4
Number, it is then based on Mental imagery, by off-line training and On-line Control, realizes the control to dummy object in real scene, from
And achieve the effect that brain function is remolded, and then be conducive to the rehabilitation of patient.The method specific implementation step is as follows:
Step 1: it when patient selects Mental imagery control model for the first time, needs to carry out off-line training, fortune to patient first
The dynamic offline schematic diagram of the imagination is as shown in Figure 3；The good brain electricity cap of patient-worn is assisted, allows patient to face screen, bead occurs on screen
And annulus, it prompts patient to concentrate on, is prepared to enter into training；Step 2: clicking " starting to train " button, and training starts,
Started to shrink on screen around the annulus of bead, until equal in magnitude with bead, annulus disappears, small club it is random to the left or to
It moves right, occupies left or occupy the bicyclic of the right side until touching, and be overlapped with it, primary training terminates, and has arrow before bead is mobile
Head prompt；Entire total 30 movements of training process bead, each random 15 times of left and right；In the training process, pass through patient first
The EEG signals that the brain electricity cap acquisition patient motion of wearing is felt；As shown in Fig. 2, C3 the and C4 channel position of its midbrain electricity cap
Information the most abundant, the i.e. motor sensory area of hand when imagination opposite side hands movement are contained, therefore passes through the C3 and C4 of brain electricity cap
Channel acquires the EEG signals of patient；After training, pretreatment removal interference letter is carried out to collected EEG signals
Number, extract the feature of Mental imagery EEG signals by common space pattern algorithm and cross-correlation function, and by the two features
It is sent into support vector machines after being merged and establishes Classification and Identification model；
Step 3: after Classification and Identification model is established in completion, On-line Control rehabilitation training is carried out to patient；Patient is allowed to carry out left
Right-hand grip the imagination, based on the virtual rehabilitation system of multi-modal interaction by the identification disaggregated model established according to off-line training come pair
The EEG signals of patient carry out Classification and Identification, judge its motion intention, and then control the left and right fortune of dummy object in rehabilitation scene
It is dynamic, to complete rehabilitation training；
Step 4: collapsing from physical exhaustion the very faint feature of phase patient motion ability for cerebral apoplexy, right by Mental imagery mode
Patient carries out human-computer interaction training；Wherein augmented reality human-computer interaction partial schematic block diagram using Kinect as shown in figure 4, scanned
Technology obtains real scene locating for patient, i.e., scans true space environment using Kinect, patient is allow to exist
The environment locating for oneself is seen in display screen；By augmented reality, dummy object is added to by Kinect scanning
In real space environment, achieve the effect that enhance real scene, and then be designed to interesting and practical rehabilitation training for patient
Scene；Mental imagery is combined with augmented reality, for cerebral apoplexy collapse from physical exhaustion phase patient lack in rehabilitation course actively
Property the problem of, by Mental imagery mode, carry out human-computer interaction training, purpose be repeated in the training process and actively transports
It is dynamic, the neuron activity for having remaining function is effectively waken up, and in rehabilitation training, augmented reality is added,
So that patient is seen the environment locating for oneself, increase the sense of reality of rehabilitation training, is provided for patient a variety of including vision and the sense of hearing
Feedback, excitation and the motivation for maintaining patient's repetition practice, always through rehabilitation by psychotherapy；Keep patient existing in enhancing
Rehabilitation training is carried out in real environment, and by the transfer in sports skill for learning to obtain into true environment, to reach more preferably
Rehabilitation efficacy.
Particular embodiments described above has carried out further specifically the purpose of the present invention, technical solution and method
It is bright, it should be understood that the above is only a specific embodiment of the present invention, is not intended to restrict the invention, and is not carrying on the back
Under the premise of from the spirit and principles in the present invention, it is able to carry out various changes.
Claims (1)
1. a kind of recovery training method based on Mental imagery and augmented reality, it is characterised in that: in the recovery training method
Appearance includes the following steps:
Step 1: it when patient selects Mental imagery control model for the first time, needs to carry out off-line training to patient first；It assists to suffer from
Person allows patient to face screen with wearing brain electricity cap, occurs bead and annulus on screen, and patient is prompted to concentrate on, prepare into
Enter training；
Step 2: clicking " starting to train " button, and training starts, and starts to shrink on the screen around the annulus of bead, until with
Bead is equal in magnitude, and annulus disappears, and small club is random to be moved to the left or right, until touch occupy it is left or occupy it is right bicyclic, and
It is overlapped with it, primary training terminates, and arrow prompt is had before bead is mobile；Entire total 30 fortune of training process bead
It is dynamic, each random 15 times of left and right；In the training process, the brain of patient motion sensory area is acquired by the brain electricity cap of patient-worn first
Electric signal；Information the most abundant when C3 the and C4 channel position of its midbrain electricity cap contains imagination opposite side hands movement, i.e. hand
Motor sensory area, therefore acquire by the channel C3 and C4 of brain electricity cap the EEG signals of patient；After training, to acquisition
To EEG signals carry out pretreatment removal interference signal, movement is extracted by common space pattern algorithm and cross-correlation function and is thought
As the feature of EEG signals, and support vector machines is sent into after the two features are merged and establishes Classification and Identification model；
Step 3: after Classification and Identification model is established in completion, On-line Control rehabilitation training is carried out to patient；Patient is allowed to carry out right-hand man
The imagination is grasped, based on the virtual rehabilitation system of multi-modal interaction by the identification disaggregated model established according to off-line training come to patient
EEG signals carry out Classification and Identification, judge its motion intention, and then control the side-to-side movement of dummy object in rehabilitation scene, from
And complete rehabilitation training；
Step 4: it collapses from physical exhaustion the very faint feature of phase patient motion ability for cerebral apoplexy, by Mental imagery mode, to patient
Carry out human-computer interaction training；Real scene locating for patient is obtained using Kinect scanning technique, i.e., is scanned using Kinect
One true space environment, allows patient to see oneself local environment within display screen；It, will by augmented reality
Dummy object is added in the real space environment by Kinect scanning, achievees the effect that enhance real scene, and then to suffer from
Person is designed to interesting and practical rehabilitation training scene；Mental imagery is combined with augmented reality, it is soft for cerebral apoplexy
Paralysed phase patient lacks the problem of initiative in rehabilitation course, by Mental imagery mode, carries out human-computer interaction training；In training
Purpose active movement is repeated in the process, effectively wakes up the neuron activity for having remaining function, and instruct in rehabilitation
During white silk, augmented reality is added, so that patient is seen the environment locating for oneself, increases the sense of reality of rehabilitation training, to suffer from
Person provides the various feedback including vision and the sense of hearing, excitation and the motivation for maintaining patient's repetition practice, by psychotherapy through health
It treats again always；So that patient is carried out rehabilitation training in augmented reality environment, and the transfer in sports skill that study obtains is arrived
In true environment, to reach more preferably rehabilitation efficacy.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109992113A (en) * | 2019-04-09 | 2019-07-09 | 燕山大学 | A kind of MI-BCI system and its control method induced based on more scenes |
| CN111091890A (en) * | 2020-02-28 | 2020-05-01 | 郑州大学 | Health cognitive system under self-excitation and feedback control |
| CN111544854A (en) * | 2020-04-30 | 2020-08-18 | 天津大学 | Cerebral apoplexy motor rehabilitation method based on brain myoelectric signal deep learning fusion |
| CN113499524A (en) * | 2021-07-23 | 2021-10-15 | 华南理工大学 | Auxiliary rehabilitation training system using motor imagery electroencephalogram detection |
| CN113678206A (en) * | 2019-01-22 | 2021-11-19 | 特克利客有限公司 | Rehabilitation training system for advanced brain dysfunction and image processing device |
| CN113750346A (en) * | 2021-08-31 | 2021-12-07 | 山东大学 | Training device for brain function cognitive impairment crowd |
| CN114082169A (en) * | 2021-11-22 | 2022-02-25 | 江苏科技大学 | Disabled hand soft body rehabilitation robot motor imagery identification method based on electroencephalogram signals |
-
2018
- 2018-07-26 CN CN201810834728.2A patent/CN109011097A/en active Pending
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113678206A (en) * | 2019-01-22 | 2021-11-19 | 特克利客有限公司 | Rehabilitation training system for advanced brain dysfunction and image processing device |
| CN113678206B (en) * | 2019-01-22 | 2023-02-03 | 特克利客有限公司 | Rehabilitation training system for advanced brain dysfunction and image processing device |
| CN109992113A (en) * | 2019-04-09 | 2019-07-09 | 燕山大学 | A kind of MI-BCI system and its control method induced based on more scenes |
| CN109992113B (en) * | 2019-04-09 | 2020-05-15 | 燕山大学 | MI-BCI system based on multi-scene induction and control method thereof |
| CN111091890A (en) * | 2020-02-28 | 2020-05-01 | 郑州大学 | Health cognitive system under self-excitation and feedback control |
| CN111544854A (en) * | 2020-04-30 | 2020-08-18 | 天津大学 | Cerebral apoplexy motor rehabilitation method based on brain myoelectric signal deep learning fusion |
| CN111544854B (en) * | 2020-04-30 | 2021-05-25 | 天津大学 | Cerebral apoplexy motor rehabilitation method based on brain myoelectric signal deep learning fusion |
| CN113499524A (en) * | 2021-07-23 | 2021-10-15 | 华南理工大学 | Auxiliary rehabilitation training system using motor imagery electroencephalogram detection |
| CN113750346A (en) * | 2021-08-31 | 2021-12-07 | 山东大学 | Training device for brain function cognitive impairment crowd |
| CN113750346B (en) * | 2021-08-31 | 2022-09-16 | 山东大学 | Training device for brain function cognitive impairment crowd |
| CN114082169A (en) * | 2021-11-22 | 2022-02-25 | 江苏科技大学 | Disabled hand soft body rehabilitation robot motor imagery identification method based on electroencephalogram signals |
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Application publication date: 20181218 |
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| RJ01 | Rejection of invention patent application after publication |