CN106693280A - Virtual-reality-based Parkinsonism training method, system and device - Google Patents
Virtual-reality-based Parkinsonism training method, system and device Download PDFInfo
- Publication number
- CN106693280A CN106693280A CN201611244972.0A CN201611244972A CN106693280A CN 106693280 A CN106693280 A CN 106693280A CN 201611244972 A CN201611244972 A CN 201611244972A CN 106693280 A CN106693280 A CN 106693280A
- Authority
- CN
- China
- Prior art keywords
- training
- patient
- gait
- virtual
- data
- 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
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B22/00—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
-
- 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
- A61B5/112—Gait analysis
-
- 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
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0003—Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0075—Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0087—Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load
-
- 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
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2505/00—Evaluating, monitoring or diagnosing in the context of a particular type of medical care
- A61B2505/09—Rehabilitation or training
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B22/00—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
- A63B2022/0092—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements for training agility or co-ordination of movements
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0087—Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load
- A63B2024/009—Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load the load of the exercise apparatus being controlled in synchronism with visualising systems, e.g. hill slope
Landscapes
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Physical Education & Sports Medicine (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Animal Behavior & Ethology (AREA)
- Molecular Biology (AREA)
- Veterinary Medicine (AREA)
- Public Health (AREA)
- Physics & Mathematics (AREA)
- Surgery (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Human Computer Interaction (AREA)
- Databases & Information Systems (AREA)
- Vascular Medicine (AREA)
- Cardiology (AREA)
- Physiology (AREA)
- Dentistry (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Rehabilitation Tools (AREA)
Abstract
The invention discloses a virtual-reality-based Parkinsonism training method. The method includes: guiding a patient to walk in a standard testing virtual map, collecting initial gait data, making a training scheme for the patient, and forming a rehabilitation training virtual map; guiding the patient to walk in the rehabilitation training virtual map, collecting the rehabilitation training gait data of the patient, regulating the training scheme for the patient, and forming a secondary training virtual map. The training method has the advantages that the gait data is collected multiple times, the rehabilitation training maps of different periods are made, training content can be regulated, and the method is highly-targeted and beneficial to the relieving of gait freezing symptom of the Parkinsonism patient. The invention further discloses a training system which comprises a virtual map guiding module, a gait data collecting module and an analyzing module. The training system has the advantages that the virtual training maps are made through the virtual-reality technology, the patient can complete the training without a specific training site, and the training system is convenient to use.
Description
Technical field
The present invention relates to medical treatment detection and assistive device field, more particularly to a kind of Parkinson's training based on virtual reality
Method and apparatus.
Background technology
Parkinson's (Parkinson ' s Disease, PD) are called paralysis agitans syndrome, parkinsonism, are one
Plant chronic CNS degenerative disorder disease.The disease is mainly in elderly population, and average age of onset is about 60 years old, and
The sick age of onset has downward trend in recent years.In China, the incidence of disease of PD is 1.7% in over-65s crowd according to statistics,
The incidence of disease of PD is 1% in more than 55 years old crowds.PD has become " the 3rd killer " of mid-aged population, seriously threatens the mankind
Life and health.
Most of Parkinsonians have gait disorder, and the lighter shows as dragging step, pin can not being lifted on foot, while upper limbs is not
Swing arm, does not have co-operating.Severe patient shows as random little step preshoot, turns and crosses door difficult.
The training method of current Parkinsonian is typically all the posture for training patient to walk by gait exercise, step
Requirement patient's eyes look straight ahead when state is taken exercise, body erect, toe will be raised as far as possible during starting, and first heel contact again by toe
Ground, striding, it is slow and big to try one's best, and two upper limbs make swing when walking as far as possible.Its key is pin to be raised and strides big.
Other people are preferably formed with during exercise on the scene, can at any time remind and correct the posture of exception.It is anti-that patients with Parkinson disease shows posture
The obstacle penetrated, quick step preshoot during walking, run into that barrier or patient stop suddenly when easily fall, can be changed by balance exercise
It is kind to focus on symptom.It is above-mentioned these for the rehabilitation training of Parkinson, to the standard of patient and require more, whether action needs in place
There is the personage of specialty to judge and correct, and during training, training process can not be quantified, be not easy to the later stage point
Analyse the effect of rehabilitation training.
There are some in the prior art for the auxiliary equipment that aids in Parkinson's rehabilitation training, such as Patent No.
During " 201510637266.1 ", patent name are for the patent of invention of " a kind of wearable walking aid for disturbances in patients with Parkinson disease ",
Disclose after a kind of patient is worn by walking aid, guiding optical fiber is produced in front of patient feet, guided in the way of visual stimulus
Patient walks, while the data for gathering patient's walking deliver to host computer, is easy to detect and diagnoses.
There are problems that two in such scheme：One is to produce optical fiber to guide patient to walk using laser, the mode of exercise
It is excessively dull, it is impossible to train some complicated walking motions；Two is that the mode that laser produces optical fiber to guide patient to walk is single,
The actual conditions that Rehabilitation cannot be combined carry out adjusting training scheme.
The content of the invention
For weak point present in above-mentioned technology, the present invention provides a kind of Parkinson training side based on virtual reality
Method, including：
Guide patient to be walked in standard detection virtual map, and gather the initial gait data of patient；
With reference to initial gait data, the training program of patient is formulated, and form rehabilitation training virtual map；
Guide patient to be walked in rehabilitation training virtual map, and gather the rehabilitation training gait data of patient；
With reference to rehabilitation training gait data, the training program of patient is adjusted, and form training virtual map again.
Wherein, the method for forming rehabilitation training virtual map includes：
The gait data of the initial gait data of patient and normal human is contrasted, the initial gait defect of patient is analyzed；
For the initial gait defect of patient, the initial training action of patient is analyzed；
With reference to initial training action, rehabilitation training virtual map is made.
Wherein, the method for the map of training virtual again includes：
The rehabilitation training gait data of patient and initial gait data are contrasted, the gait defect again of patient is analyzed；
For the gait defect again of patient, the training action again of patient is analyzed；
With reference to training action again, training virtual map again is made.
Wherein, the gait data includes step-length, step width, step phase angle, leg speed, cadence, cycle, duration of oscillation, dual-gripper
Time memory touchdown time.
Present invention also offers a kind of Parkinson's training system based on virtual reality, including：
Virtual map guides module, for guiding patient to be walked in standard detection virtual map and rehabilitation training virtual map；
Gait data acquisition module, initial gait data and rehabilitation training gait data for gathering patient；
Analysis module, for combining initial gait data, the training program of patient is formulated in analysis, and forms rehabilitation training virtually
Figure；And for combining rehabilitation training gait data, the training program of patient is adjusted, and form training virtual map again.
Wherein, the analysis module includes：
Initial gait defect analysis module, for the gait data of the initial gait data of patient and normal human to be contrasted, point
Separate out the initial gait defect of patient；
Initial training motion analysis module, for the initial gait defect for patient, analyzes the initial training action of patient；
Rehabilitation training virtual map generation module, for combining initial training action, makes rehabilitation training virtual map.
Wherein, the analysis module also includes：
Gait defect analysis module, for the rehabilitation training gait data of patient and initial gait data to be contrasted, analyzes again
Go out the gait defect again of patient；
Training action analysis module, for the gait defect again for patient, analyzes the training action again of patient again；
Training virtual map generation module, for combining training action again, makes training virtual map again again.
Present invention also offers a kind of Parkinson's trainer based on virtual reality, including：It is fixed on the biography on human body
Sensor module, computer and guide patient that data and formulation rehabilitation training virtual map are transmitted for analyte sensors
Carry out the virtual monitor of rehabilitation training；The sensor assembly is connected with Computer Wireless Communication, the computer with it is virtual
Display wireless communication connection；Sensor assembly gathers body gait data, and gait data is transmitted to computer, computer
The rehabilitation training virtual map of formulation is transmitted to virtual monitor, virtual monitor guide patient carries out rehabilitation training.
Wherein, be provided with the computer gait detecting system, gait rehabilitation analysis system, virtual map processing system and
Processor；The gait detecting system receives the gait data of sensor collection and generates the gait data figure of patient, and gait
Be delivered to gait data figure in processor by detecting system, and processor transmits to gait rehabilitation analysis system gait data figure
In, and gait rehabilitation analysis system combines patient's training action data and the general that the original gait data map analysis for prestoring goes out
In training action data transfer to processor；Processor by training action data transfer to virtual map processing system, virtually
Maps processing system combined training action data makes virtual training map and virtual training map is delivered in processor；
Processor is by virtual training Map to virtual monitor.
Wherein, the sensor assembly includes pressure sensor, the fortune on human body ankle on human body sole
Dynamic sensor and the myoelectric sensor on human thigh and shank；The pressure sensor, motion sensor and myoelectricity
Sensor is connected with Computer Wireless Communication.
The beneficial effects of the invention are as follows：Compared with prior art, training method of the invention, the gait of multi collect patient
Data are simultaneously directed to the rehabilitation training map that data formulate different times, and being adapted to property adjusting training content is with strong points, is beneficial to
The gait for alleviating disturbances in patients with Parkinson disease freezes symptom.Training system of the invention, the gait number that gait data acquisition module will be gathered
According to analysis is transmitted into analysis module, analysis module makes training map and training Map to virtual map is guided into mould
In block, patient guides the guide of module to complete training content according to virtual map, then repeatedly said process.Training of the invention
System, Combining with technology of virtual reality makes virtual training map, and patient need not can just complete in the training court of feature
Training, it is easy to use.While trainer of the invention, sensor assembly collection body gait data, and gait data is passed
Computer is transported to, computer transmits to virtual monitor the rehabilitation training virtual map of formulation, and virtual monitor guides patient
Carry out rehabilitation training.Trainer of the invention, Combining with technology of virtual reality makes virtual training map, and patient need not
Training can be just completed in the training court of feature, it is easy to use.
Brief description of the drawings
Fig. 1 is the block diagram of training method of the present invention；
Fig. 2 is the block diagram of training system of the present invention；
Fig. 3 is the block diagram of trainer of the present invention.
Main element symbol description is as follows：
1st, virtual map guides module 2, gait data acquisition module
3rd, analysis module 4, sensor assembly
5th, computer 6, virtual monitor
7th, patient 31, initial gait defect analysis module
32nd, initial training motion analysis module 33, rehabilitation training virtual map generation module
34th, gait defect analysis module 35, again training action analysis module again
36th, training virtual map generation module 41, pressure sensor again
42nd, motion sensor 43, myoelectric sensor
51st, gait detecting system 52, gait rehabilitation analysis system
53rd, virtual map processing system 54, processor.
Specific embodiment
In order to more clearly state the present invention, the present invention is further described below in conjunction with the accompanying drawings.
Refer to Fig. 1, the Parkinson's training method based on virtual reality that the present invention is provided, including：
Guide patient to be walked in standard detection virtual map, and gather the initial gait data of patient；
With reference to initial gait data, the training program of patient is formulated, and form rehabilitation training virtual map；
Guide patient to be walked in rehabilitation training virtual map, and gather the rehabilitation training gait data of patient；
With reference to rehabilitation training gait data, the training program of patient is adjusted, and form training virtual map again.
In above-mentioned steps, the method for forming rehabilitation training virtual map includes：
The gait data of the initial gait data of patient and normal human is contrasted, the initial gait defect of patient is analyzed；
For the initial gait defect of patient, the initial training action of patient is analyzed；
With reference to initial training action, rehabilitation training virtual map is made.
In above-mentioned steps, the method for training virtual map includes again：
The rehabilitation training gait data of patient and initial gait data are contrasted, the gait defect again of patient is analyzed；
For the gait defect again of patient, the training action again of patient is analyzed；
With reference to training action again, training virtual map again is made.
Training method of the invention, patient trains walking according to the scene in training virtual map, on the one hand avoids
The potential safety hazard that patient triggers in true environment, another aspect training virtual map can specifically be moved with reference to patient, psychology
Situation, fictionalizes targetedly map, increased the interest of patient's walking.Patient can gather bag during walking
Include step-length, step width, step phase angle, leg speed, cadence, cycle, duration of oscillation, dual-gripper time, memory land, the multinomial gait such as time
Data, these gait datas are compared with the gait data for prestoring, and can analyze the gait defect of patient, for example, suffer from
Person's foot-up is too low, strides too small, then be now directed to the gait defect, and analyzing patient needs to strengthen the action of training to raise leg
With big stride motion, then for above-mentioned training action, the map for needing to raise leg and stride greatly is fictionalized, and point out patient need
Raise leg and stride greatly.It is then followed by gathering patient's gait data, in analysing gait defect, generation training action, generation are virtual
Map, circulates above-mentioned steps, and patient can be helped to complete gait training.Training method of the invention, the step of multi collect patient
State data are simultaneously directed to the rehabilitation training map that data formulate different times, and being adapted to property adjusting training content is with strong points, profit
Freeze symptom in the gait for alleviating disturbances in patients with Parkinson disease.
Refer to Fig. 2, the Parkinson's training system based on virtual reality of the invention, including：
Virtual map guides module 1, for guiding patient to be walked in standard detection virtual map and rehabilitation training virtual map；
Gait data acquisition module 2, initial gait data and rehabilitation training gait data for gathering patient；
Analysis module 3, for combining initial gait data, the training program of patient is formulated in analysis, and it is virtual to form rehabilitation training
Map；And for combining rehabilitation training gait data, the training program of patient is adjusted, and form training virtual map again.
Analysis module 3 includes：
Initial gait defect analysis module 31, for the gait data of the initial gait data of patient and normal human to be contrasted,
Analyze the initial gait defect of patient；
Initial training motion analysis module 32, for the initial gait defect for patient, the initial training for analyzing patient is moved
Make；
Rehabilitation training virtual map generation module 33, for combining initial training action, makes rehabilitation training virtual map.
Analysis module 3 also includes：
Gait defect analysis module 34, for the rehabilitation training gait data of patient and initial gait data to be contrasted, divides again
Separate out the gait defect again of patient；
Training action analysis module 35 again, for the gait defect again for patient, the training again for analyzing patient is moved
Make；
Training virtual map generation module 36, for combining training action again, makes training virtual map again again.
Training system of the invention, the first stage of training is：Gait data acquisition module 2 gathers the initial gait of patient
Data, and send data to initial gait defect analysis module 31, initial gait defect analysis module 3 is by the initial step of patient
The gait data contrast of state data and normal human, analyzes the initial gait defect of patient, and initial gait defect analysis mould
Block 3 transmits to initial training motion analysis module 32 initial gait defect, and initial training motion analysis module 32 is directed to patient
Initial gait defect, analyze patient initial training action, and by initial training action transmit to rehabilitation training virtually
Figure generation module 33, last rehabilitation training virtual map generation module 33 is made rehabilitation training virtual map and is transmitted to virtual
Map guide module 1, then virtual map guide module 1 guide patient in standard detection virtual map and rehabilitation training virtually
Walked in figure.And then, the second stage of training system of the present invention is：The rehabilitation instruction of the collection patient of gait data acquisition module 2
Practice gait data, and send data to gait defect analysis module 34 again, gait defect analysis module 34 is by patient again
Rehabilitation training gait data and initial gait data contrast contrast, analyze the gait defect again of patient, and gait again
Defect analysis module 34 gait defect will be transmitted to training action analysis module 35 again again, again training action analysis module
The 35 gait defects again for being directed to patient, analyze the training action again of patient, and training action will transmit to again again
Training virtual map generation module 36, finally training virtual map generation module 36 makes again that training virtual map is simultaneously again
Transmit to virtual map and guide module 1, then virtual map guides module 1 to guide patient's row in training virtual map again
Walk.The step of repeating above-mentioned first stage and second stage, until patient symptom has mitigated.
Training system of the invention, Combining with technology of virtual reality makes virtual training map, and patient need not be in feature
Training court can just complete training, it is easy to use.Meanwhile, training system of the invention, the gait number of multi collect patient
The rehabilitation training map of different times is formulated according to and for data, being adapted to property adjusting training content is with strong points, beneficial to slow
The gait for solving disturbances in patients with Parkinson disease freezes symptom.
A kind of Parkinson's trainer based on virtual reality of the invention, including：It is fixed on the sensor die on human body
Block 4, computer 5 and guide patient for analyte sensors transmission data and formulation rehabilitation training virtual map are carried out
The virtual monitor 6 of rehabilitation training；Sensor assembly 4 and the wireless communication connection of computer 5, computer 5 and the nothing of virtual monitor 6
Line is communicated to connect；Sensor assembly 4 gathers body gait data, and gait data is transmitted to computer 5, and computer 5 will be made
Fixed rehabilitation training virtual map is transmitted to virtual monitor 6, and the guide patient 7 of virtual monitor 6 carries out rehabilitation training.
Trainer of the invention, Combining with technology of virtual reality makes virtual training map, and patient need not be in feature
Training court can just complete training, it is easy to use.
Fig. 3 is referred to, sensor assembly 4 is including the pressure sensor 41 on human body sole, on human body ankle
Motion sensor 42 and the myoelectric sensor 43 on human thigh and shank；Pressure sensor 41, motion sensor
42 and myoelectric sensor 43 and the wireless communication connection of computer 5.These sensor assemblies 4 gather body gait data, including step
The multinomial gait datas such as length, step width, step phase angle, leg speed, cadence, cycle, duration of oscillation, dual-gripper time, memory touchdown time,
And these data are transmitted to the inner treater 54 of computer 5 by wireless communications method, what processor 54 sent data to again
Gait detecting system 51, gait detecting system 51 receives gait data and generates the gait data figure of patient, and gait detection system
Be delivered to gait data figure in processor 54 by system 51, and processor 54 transmits to gait rehabilitation analysis system 52 gait data figure
In, and gait rehabilitation analysis system 52 combines patient's training action data that the original gait data map analysis that prestores goes out simultaneously
By in training action data transfer to processor 54；Processor 54 is by training action data transfer to virtual map processing system 53
In, the combined training action data of virtual map processing system 53 makes virtual training map and is delivered to virtual training map
In processor 54；Processor 54 is by virtual training Map to virtual monitor 6.Virtual monitor of the invention 6 can be with
It is the wearable devices such as virtual eyes, the virtual helmet, is imaged by before human body eye, forms three-dimensional virtual map, Huan Zheyi
Rehabilitation training is carried out according to the guide walking of map.Actually used middle virtual monitor can also set the voice messages such as loudspeaker and set
Standby, the equipment is operated when can remind the points for attention of patient's walking, patient's walking mistake to its voice reminder etc..
The method of the present invention, system and device can be not only used for the training method that the gait of Parkinson is freezed, can be with
Trained for others.The operation workflow of the method for the present invention, system and device is illustrated with reference to specific embodiment：
Standard testing virtual map be mainly used for test patient whether freeze with gait, vestibular imbalance, vibrations imbalance, body
The phenomenon such as sensory nerve imbalance, limb rotation imbalance, stiff joint motion, myasthenia, limb activity be uncoordinated, in virtual map
Devise the multiple test events for above-mentioned phenomenon, for example, walk upright, across obstacle walking, limbs collaboration walking, original place rotation
Multiple test events such as turn, all around turn to, while can also simulate some daily scenes, such as daily scene exchange, by bus,
The project such as by ship；The virtual map of present system guides and the above-mentioned test event for setting can be prestored in module, and
Patient's fictionalizes above-mentioned Training scene at the moment；Standard testing can have been stored in the processor of apparatus of the present invention virtually in advance
Figure, then sends into virtual monitor standard testing virtual map, and above-mentioned Training scene is fictionalized at the moment in patient；
Patient, according to the instruction of virtual map, completes above-mentioned instruction action and simulated scenario instruction in standard testing virtual map
Practice, the gait data acquisition module of present system gathers the training data of patient, three sensor assemblies of apparatus of the present invention
Also the data of patient are gathered, the data include：Pressure value changes, reply that the height of foot-up, the amplitude for striding, each walking are walked
When reaction time, myoelectricity value, step-length, step width, step phase angle, leg speed, cadence, cycle, duration of oscillation, the dual-gripper of scene exchange
Between, the memory parameter such as touchdown time；
With reference to above-mentioned data, initial gait defect analysis module analysis of the invention go out the gait defect of patient, step of the invention
State detecting system also analyzes the gait defect of patient, such as by above-mentioned data, analyze patient exist gait freeze defect,
Vestibular imbalance defect, delay of response, turn to the defect such as blunt；
With reference to drawbacks described above, the initial training motion analysis module analysis of present system go out the training action of patient, the present invention
Gait rehabilitation analysis system also analyze the training action of patient, the training action includes：Foot-up action training, go to action
Training, tumbling action are trained, rotate in place action training etc.；
With reference to above-mentioned training action, rehabilitation training virtual map generation module of the invention is generated with relief training
The scene such as place, training stage property, Training scene, real training sound instruction and background music；It is simultaneously of the invention virtual
Maps processing system can also generate it is above-mentioned with relief training court, training stage property, Training scene, really train sound
The scene such as instruction and background music；
With reference to above-mentioned virtual map, virtual map of the invention guides module to guide patient to be instructed according to the scene of virtual map
Practice, while gait data acquisition module gathers corresponding patient's training data；Virtual monitor of the invention guide patient according to
The scene of virtual map is trained, while sensor die BOB(beginning of block) gathers corresponding patient's training data；
With reference to above-mentioned training data, the defect analysis module analysis of gait again of the invention go out the gait defect of patient, the present invention
Gait detecting system also analyze the gait defect of patient, such as by above-mentioned data, analyze patient and there is gait and freeze
Defect, vestibular imbalance defect, delay of response, turn to the defect such as blunt；
With reference to drawbacks described above, the analysis module of training action again of present system analyzes the training action of patient, the present invention
Gait rehabilitation analysis system also analyze the training action of patient, the training action includes：Foot-up action training, go to action
Training, tumbling action are trained, rotate in place action training etc.；
With reference to above-mentioned training action, the map generation module of training virtual again of the invention is generated with relief training
The scene such as place, training stage property, Training scene, real training sound instruction and background music；It is simultaneously of the invention virtual
Maps processing system can also generate it is above-mentioned with relief training court, training stage property, Training scene, really train sound
The scene such as instruction and background music；
Repeat above-mentioned action, you can complete the rehabilitation training of patient.
The present invention can train the balanced capacity and ADL levels of disturbances in patients with Parkinson disease using the method for virtual map training,
Synergy, such as levodopa treatment, DBS treatment etc. can also be produced with the treatment of many diseases.Virtual map is instructed simultaneously
Experienced method.In virtual scene, the balance barrier that disturbances in patients with Parkinson disease is produced because stride is impaired can be improved using visual stimulus
Hinder, the feedback of brain can be promoted, the correct behavior during reinforcing patient's balance training improves the interesting and product of patient's training
Polarity, reduces the fatigue strength of training.Virtual map can make patient in the environment with various stimulus to the sense organ and feedback simultaneously
It is trained, it is to avoid trigger dangerous in true environment, dependence interesting, that reduction is to therapist is increased, while virtually
Figure can simulate daily scene of life, improve the activity of daily living of patient.
Advantage of the invention is that：
1st, training method of the invention, the gait data of multi collect patient is simultaneously directed to the rehabilitation training that data formulate different times
Map, being adapted to property adjusting training content is with strong points, and symptom is freezed beneficial to the gait for alleviating disturbances in patients with Parkinson disease；
2nd, training system of the invention, Combining with technology of virtual reality, make virtual training map, and patient need not be in feature
Training court can just complete training, easy to use；
3rd, trainer of the invention, Combining with technology of virtual reality, make virtual training map, and patient need not be in feature
Training court can just complete training, easy to use.
Disclosed above is only several specific embodiments of the invention, but the present invention is not limited to this, any this area
Technical staff can think change should all fall into protection scope of the present invention.
Claims (10)
1. a kind of Parkinson's training method based on virtual reality, it is characterised in that including：
Guide patient to be walked in standard detection virtual map, and gather the initial gait data of patient；
With reference to initial gait data, the training program of patient is formulated, and form rehabilitation training virtual map；
Guide patient to be walked in rehabilitation training virtual map, and gather the rehabilitation training gait data of patient；
With reference to rehabilitation training gait data, the training program of patient is adjusted, and form training virtual map again.
2. the Parkinson's training method based on virtual reality according to claim 1, it is characterised in that the formation rehabilitation
The method of training virtual map includes：
The gait data of the initial gait data of patient and normal human is contrasted, the initial gait defect of patient is analyzed；
For the initial gait defect of patient, the initial training action of patient is analyzed；
With reference to initial training action, rehabilitation training virtual map is made.
3. the Parkinson's training method based on virtual reality according to claim 1, it is characterised in that described to train again
The method of virtual map includes：
The rehabilitation training gait data of patient and initial gait data are contrasted, the gait defect again of patient is analyzed；
For the gait defect again of patient, the training action again of patient is analyzed；
With reference to training action again, training virtual map again is made.
4. the Parkinson's training method based on virtual reality according to claim 1, it is characterised in that the gait data
Including step-length, step width, step phase angle, leg speed, cadence, cycle, duration of oscillation, dual-gripper time memory touchdown time.
5. a kind of Parkinson's training system based on virtual reality, it is characterised in that including：
Virtual map guides module, for guiding patient to be walked in standard detection virtual map and rehabilitation training virtual map；
Gait data acquisition module, initial gait data and rehabilitation training gait data for gathering patient；
Analysis module, for combining initial gait data, the training program of patient is formulated in analysis, and forms rehabilitation training virtually
Figure；And for combining rehabilitation training gait data, the training program of patient is adjusted, and form training virtual map again.
6. the Parkinson's training system based on virtual reality according to claim 5, it is characterised in that the analysis module
Including：
Initial gait defect analysis module, for the gait data of the initial gait data of patient and normal human to be contrasted, point
Separate out the initial gait defect of patient；
Initial training motion analysis module, for the initial gait defect for patient, analyzes the initial training action of patient；
Rehabilitation training virtual map generation module, for combining initial training action, makes rehabilitation training virtual map.
7. the Parkinson's training system based on virtual reality according to claim 5, it is characterised in that the analysis module
Also include：
Gait defect analysis module, for the rehabilitation training gait data of patient and initial gait data to be contrasted, analyzes again
Go out the gait defect again of patient；
Training action analysis module, for the gait defect again for patient, analyzes the training action again of patient again；
Training virtual map generation module, for combining training action again, makes training virtual map again again.
8. a kind of Parkinson's trainer based on virtual reality, it is characterised in that including：It is fixed on the sensor die on human body
Block, computer and guide patient for analyte sensors transmission data and formulation rehabilitation training virtual map carry out health
The virtual monitor that refreshment is practiced；The sensor assembly is connected with Computer Wireless Communication, the computer and virtual monitor
Wireless communication connection；Sensor assembly gathers body gait data, and gait data is transmitted to computer, and computer will be formulated
Rehabilitation training virtual map transmit to virtual monitor, virtual monitor guides the patient to carry out rehabilitation training.
9. the Parkinson's trainer based on virtual reality according to claim 8, it is characterised in that in the computer
It is provided with gait detecting system, gait rehabilitation analysis system, virtual map processing system and processor；The gait detecting system connects
Receive the gait data of sensor collection and generate the gait data figure of patient, and be delivered to for gait data figure by gait detecting system
In processor, processor transmits into gait rehabilitation analysis system gait data figure, and gait rehabilitation analysis system is combined in advance
Patient's training action data that the original gait data map analysis for first storing goes out and by training action data transfer to processor；
Processor by training action data transfer to virtual map processing system, virtual map processing system combined training action data
Make virtual training map and virtual training map is delivered in processor；Processor is by virtual training Map to void
In plan display.
10. the Parkinson's trainer based on virtual reality according to claim 8, it is characterised in that the sensor
Module includes the pressure sensor on the human body sole, the motion sensor on human body ankle and big positioned at human body
Myoelectric sensor on leg and shank；The pressure sensor, motion sensor and myoelectric sensor and Computer Wireless Communication
Connection.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611244972.0A CN106693280A (en) | 2016-12-29 | 2016-12-29 | Virtual-reality-based Parkinsonism training method, system and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611244972.0A CN106693280A (en) | 2016-12-29 | 2016-12-29 | Virtual-reality-based Parkinsonism training method, system and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106693280A true CN106693280A (en) | 2017-05-24 |
Family
ID=58904003
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611244972.0A Pending CN106693280A (en) | 2016-12-29 | 2016-12-29 | Virtual-reality-based Parkinsonism training method, system and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106693280A (en) |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107928679A (en) * | 2017-12-07 | 2018-04-20 | 中国科学院宁波材料技术与工程研究所 | The diagnostic device of disturbances in patients with Parkinson disease freezing of gait |
| CN108634943A (en) * | 2018-05-30 | 2018-10-12 | 北京小汤山医院 | The cardiopulmonary rehabilitation training system virtually combined with real time monitoring |
| CN108836347A (en) * | 2018-05-10 | 2018-11-20 | 中国科学院宁波材料技术与工程研究所 | Disturbances in patients with Parkinson disease recovery training method and system |
| CN108874135A (en) * | 2018-06-13 | 2018-11-23 | 福建中科智汇数字科技有限公司 | Gait training system and method based on VR equipment |
| CN109730687A (en) * | 2019-01-14 | 2019-05-10 | 清华大学 | Wearable gait testing and analysis system for patients with cerebral palsy |
| CN109793645A (en) * | 2019-01-21 | 2019-05-24 | 徐州医科大学附属医院 | A kind of auxiliary patient Parkinson gait rehabilitation training device |
| CN110638458A (en) * | 2019-08-26 | 2020-01-03 | 广东省人民医院(广东省医学科学院) | Gait data-based rehabilitation training effect evaluation method and device |
| CN110673719A (en) * | 2019-08-21 | 2020-01-10 | 东北大学 | VR-based spatial cognitive ability training method and system |
| CN111195189A (en) * | 2018-11-17 | 2020-05-26 | 中国科学院宁波工业技术研究院慈溪生物医学工程研究所 | Gait freezing symptom rehabilitation training method and system for Parkinson patient |
| CN111195385A (en) * | 2018-11-17 | 2020-05-26 | 中国科学院宁波材料技术与工程研究所 | Gait freezing symptom rehabilitation training method and system for Parkinson patient |
| CN111420348A (en) * | 2019-12-24 | 2020-07-17 | 广州晓康医疗科技有限公司 | Gait rehabilitation training instrument and using method thereof |
| CN111739609A (en) * | 2020-06-08 | 2020-10-02 | 上海健康医学院 | Motion rehabilitation prescription system based on Parkinson's disease process and construction method thereof |
| CN112102344A (en) * | 2020-09-11 | 2020-12-18 | 深圳大学 | Hand-eye coordination test system and method based on image processing |
| CN113599773A (en) * | 2021-09-22 | 2021-11-05 | 上海海压特智能科技有限公司 | Gait rehabilitation training system and method based on rhythmic visual stimulation |
| CN113633928A (en) * | 2021-09-22 | 2021-11-12 | 上海海压特智能科技有限公司 | Gait rehabilitation training system and method based on rhythmic visual and auditory stimuli |
| CN114366557A (en) * | 2021-12-31 | 2022-04-19 | 华南理工大学 | Man-machine interaction system and method for lower limb rehabilitation robot |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5575294A (en) * | 1994-03-21 | 1996-11-19 | Perry; Robert E. | Method and device for managing freezing gait disorders |
| US20040169620A1 (en) * | 2000-02-11 | 2004-09-02 | Yoram Baram | Method of providing images to a person with movement disorder |
| CN104540560A (en) * | 2012-06-04 | 2015-04-22 | 瑞布里斯医疗公司 | Apparatus and method for gait training |
| KR20160061557A (en) * | 2014-11-21 | 2016-06-01 | 대한민국(국립재활원장) | System and method for assisting ambulatory rehabilitation using projected image |
| CN105664436A (en) * | 2016-03-25 | 2016-06-15 | 漫步者（天津）康复设备有限公司 | Immersive panoramic virtual reality gait training interactive system |
| CN205598518U (en) * | 2016-04-17 | 2016-09-28 | 上海盟云移软网络科技股份有限公司 | Recovered system of virtual reality |
-
2016
- 2016-12-29 CN CN201611244972.0A patent/CN106693280A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5575294A (en) * | 1994-03-21 | 1996-11-19 | Perry; Robert E. | Method and device for managing freezing gait disorders |
| US20040169620A1 (en) * | 2000-02-11 | 2004-09-02 | Yoram Baram | Method of providing images to a person with movement disorder |
| CN104540560A (en) * | 2012-06-04 | 2015-04-22 | 瑞布里斯医疗公司 | Apparatus and method for gait training |
| KR20160061557A (en) * | 2014-11-21 | 2016-06-01 | 대한민국(국립재활원장) | System and method for assisting ambulatory rehabilitation using projected image |
| CN105664436A (en) * | 2016-03-25 | 2016-06-15 | 漫步者（天津）康复设备有限公司 | Immersive panoramic virtual reality gait training interactive system |
| CN205598518U (en) * | 2016-04-17 | 2016-09-28 | 上海盟云移软网络科技股份有限公司 | Recovered system of virtual reality |
Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107928679A (en) * | 2017-12-07 | 2018-04-20 | 中国科学院宁波材料技术与工程研究所 | The diagnostic device of disturbances in patients with Parkinson disease freezing of gait |
| CN108836347A (en) * | 2018-05-10 | 2018-11-20 | 中国科学院宁波材料技术与工程研究所 | Disturbances in patients with Parkinson disease recovery training method and system |
| CN108836347B (en) * | 2018-05-10 | 2021-10-22 | 中国科学院宁波材料技术与工程研究所 | Parkinson patient rehabilitation training method and system |
| CN108634943A (en) * | 2018-05-30 | 2018-10-12 | 北京小汤山医院 | The cardiopulmonary rehabilitation training system virtually combined with real time monitoring |
| CN108874135A (en) * | 2018-06-13 | 2018-11-23 | 福建中科智汇数字科技有限公司 | Gait training system and method based on VR equipment |
| CN108874135B (en) * | 2018-06-13 | 2021-07-30 | 福建中科智汇数字科技有限公司 | Gait training system and method based on VR equipment |
| CN111195385A (en) * | 2018-11-17 | 2020-05-26 | 中国科学院宁波材料技术与工程研究所 | Gait freezing symptom rehabilitation training method and system for Parkinson patient |
| CN111195189A (en) * | 2018-11-17 | 2020-05-26 | 中国科学院宁波工业技术研究院慈溪生物医学工程研究所 | Gait freezing symptom rehabilitation training method and system for Parkinson patient |
| CN109730687A (en) * | 2019-01-14 | 2019-05-10 | 清华大学 | Wearable gait testing and analysis system for patients with cerebral palsy |
| CN109793645A (en) * | 2019-01-21 | 2019-05-24 | 徐州医科大学附属医院 | A kind of auxiliary patient Parkinson gait rehabilitation training device |
| CN109793645B (en) * | 2019-01-21 | 2021-07-13 | 徐州医科大学附属医院 | Supplementary recovered trainer of parkinsonism people gait |
| CN110673719A (en) * | 2019-08-21 | 2020-01-10 | 东北大学 | VR-based spatial cognitive ability training method and system |
| CN110638458A (en) * | 2019-08-26 | 2020-01-03 | 广东省人民医院(广东省医学科学院) | Gait data-based rehabilitation training effect evaluation method and device |
| CN111420348A (en) * | 2019-12-24 | 2020-07-17 | 广州晓康医疗科技有限公司 | Gait rehabilitation training instrument and using method thereof |
| CN111739609A (en) * | 2020-06-08 | 2020-10-02 | 上海健康医学院 | Motion rehabilitation prescription system based on Parkinson's disease process and construction method thereof |
| CN112102344A (en) * | 2020-09-11 | 2020-12-18 | 深圳大学 | Hand-eye coordination test system and method based on image processing |
| CN112102344B (en) * | 2020-09-11 | 2023-07-14 | 深圳大学 | Hand-eye coordination test system and method based on image processing |
| CN113599773A (en) * | 2021-09-22 | 2021-11-05 | 上海海压特智能科技有限公司 | Gait rehabilitation training system and method based on rhythmic visual stimulation |
| CN113633928A (en) * | 2021-09-22 | 2021-11-12 | 上海海压特智能科技有限公司 | Gait rehabilitation training system and method based on rhythmic visual and auditory stimuli |
| CN116077889A (en) * | 2021-09-22 | 2023-05-09 | 上海海压特智能科技有限公司 | Gait rehabilitation training system and training method based on rhythmic auditory stimulus |
| CN114366557A (en) * | 2021-12-31 | 2022-04-19 | 华南理工大学 | Man-machine interaction system and method for lower limb rehabilitation robot |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106693280A (en) | Virtual-reality-based Parkinsonism training method, system and device | |
| JP7200851B2 (en) | LEARNING DEVICE, REHABILITATION SUPPORT SYSTEM, METHOD, PROGRAM, AND LEARNED MODEL | |
| US20130244211A1 (en) | Systems and methods for measuring, analyzing, and providing feedback for movement in multidimensional space | |
| Brown et al. | Comparative adaptations of lower limb biomechanics during unilateral and bilateral landings after different neuromuscular-based ACL injury prevention protocols | |
| US20200108291A1 (en) | Device, system and method for automated global athletic assessment and / or human performance testing | |
| CN106691770A (en) | Session program for generating and executing training | |
| KR20150017747A (en) | Apparatus and method for restoring voluntary control of locomotion in neuromotor impairments | |
| JP7136022B2 (en) | Processing system, walking training system, processing method, and program | |
| US20230134637A1 (en) | Methods, devices and systems for providing stimulus to guide movement | |
| WO2018039183A1 (en) | Systems and methods for functional restoration and rehabilitation of posture, gait and movement | |
| JP2021003489A (en) | Rehabilitation assistance system, estimation device, learning device, method, program, and learned model | |
| CN113066260A (en) | Parkinson's disease early warning system based on daily behavior analysis | |
| Wu et al. | The effect of Chinese Yuanji-Dance on dynamic balance and the associated attentional demands in elderly adults | |
| CN117298452B (en) | Lower limb rehabilitation system under virtual reality assistance stimulated by transcranial alternating current | |
| JP2021007481A (en) | Learning device, walking training device, system, method, program, and learned model | |
| CN209203256U (en) | View-based access control model-EMG biofeedback muscle damage rehabilitation training system | |
| Regazzoni et al. | A method to analyse generic human motion with low-cost mocap technologies | |
| CN114366557A (en) | Man-machine interaction system and method for lower limb rehabilitation robot | |
| CN110720909B (en) | Whole rehabilitation training system for waist and abdomen core muscle group based on myoelectric biofeedback and application thereof | |
| Mohamed | Modeling and simulation of transfemoral amputee gait | |
| Wijnbergen | Novel algorithms to capture kinematic variables with depthsensing technology | |
| Bakke | Different Strokes for Different Folks: Patient-Specific Gait Modelling and Post-Stroke Rehabilitation | |
| JP7326927B2 (en) | LEARNING DEVICE, REHABILITATION SUPPORT SYSTEM, METHOD, PROGRAM, AND LEARNED MODEL | |
| KR20240045327A (en) | Tibial shock absorber and method | |
| Guarnizo et al. | Development of an Interface for Rehabilitation Based on the EMG Signal for the Control of the Ankle Exoskeleton T-FLEX |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170524 |
|
| WD01 | Invention patent application deemed withdrawn after publication |