CN115569362A - Vestibular rehabilitation training feedback system and training method based on VR technology - Google Patents
Vestibular rehabilitation training feedback system and training method based on VR technology Download PDFInfo
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Abstract
The invention discloses a vestibular rehabilitation training feedback system and a vestibular rehabilitation training method based on VR technology, wherein the system comprises: the virtual reality eye movement and electroencephalogram detection subsystem is used for detecting eye movement data and electroencephalogram data of a patient during vestibular rehabilitation training and sending the eye movement data and the electroencephalogram data to the software expert and the remote diagnosis subsystem; the dynamic and gait biofeedback balance training subsystem is used for detecting the limb dynamic data and the gait data of the patient during the vestibular rehabilitation training, sending the limb dynamic data and the gait data to the software expert and the remote diagnosis subsystem, and feeding back the limb balance degree of the patient during the vestibular rehabilitation training; and the software expert and remote diagnosis subsystem is used for analyzing and evaluating the vestibular damage and the rehabilitation degree of the patient based on detection data sent by the virtual reality eye movement and brain electric detection subsystem and the dynamic and gait biofeedback balance training subsystem, generating a vestibular rehabilitation training scheme and guiding the patient to carry out personalized vestibular rehabilitation training. The invention provides a scientific treatment scheme for vestibular disease patients and realizes remote guidance of rehabilitation training.
Description
Technical Field
The invention relates to the technical field of vestibule rehabilitation, in particular to a vestibule rehabilitation training feedback system and a vestibule rehabilitation training method based on a VR (virtual reality) technology.
Background
The incidence rate of vertigo diseases is high, and multidisciplinary knowledge is involved, including vestibular diseases related to peripheral and central systems. In recent years, with the deep research of the basic theory of vestibule and the scientific application of the vestibular disease degree evaluation method, the diagnosis level of vertigo/vestibular diseases is continuously improved, however, the related treatment of vertigo/vestibular diseases, especially the vestibular rehabilitation treatment, still lacks a systematic and scientific solution, for example, the biofeedback data of the rehabilitation training cannot be obtained remotely, and the remote scientific guidance of the rehabilitation training of vestibular disease patients is difficult to realize.
Disclosure of Invention
The invention provides a vestibular rehabilitation training system and a vestibular rehabilitation training method, aiming at accurately acquiring rehabilitation training data and rehabilitation training biofeedback data, providing a scientific treatment scheme for the rehabilitation training of vestibular disease patients and realizing the remote guidance of the rehabilitation training.
In order to achieve the purpose, the invention adopts the following technical scheme:
1. the utility model provides a vestibule rehabilitation training feedback system based on VR technique includes:
the virtual reality eye movement and brain electrical detection subsystem is used for detecting the eye movement data and brain electrical data of the patient when the patient does vestibular rehabilitation training and sending the eye movement data and brain electrical data to the software expert and the remote diagnosis subsystem;
the dynamic and gait biofeedback balance training subsystem is used for detecting the limb dynamic data and the gait data of the patient during the vestibular rehabilitation training, sending the limb dynamic data and the gait data to the software expert and the remote diagnosis subsystem, and feeding back the limb balance degree of the patient during the vestibular rehabilitation training;
the software expert and the remote diagnosis subsystem are in communication connection with the virtual reality eye movement and brain electricity detection subsystem and the dynamic and gait biofeedback balance training subsystem, and are used for analyzing and evaluating the vestibular rehabilitation degree of the patient based on detection data sent by the virtual reality eye movement and brain electricity detection subsystem and the dynamic and gait biofeedback balance training subsystem, generating a vestibular rehabilitation training scheme and guiding the patient to carry out vestibular rehabilitation training according to the scheme;
and the vestibular rehabilitation subsystem is in communication connection with the software expert and the remote diagnosis subsystem, generates a vestibular rehabilitation training scheme and guides the patient to carry out vestibular rehabilitation training according to the scheme.
Preferably, the virtual reality eye movement and brain electrical detection subsystem comprises a VR head-mounted display, 2 eye movement tracking cameras are mounted in the VR head-mounted display, and the VR head-mounted display is respectively used for acquiring video images of left and right eye pupils moving when the patient performs vestibular rehabilitation training;
and the VR head-mounted display is also provided with an electroencephalogram signal acquisition device which is used for acquiring the EEG signals of the forehead and the ear of the patient when the patient performs vestibular rehabilitation training.
Preferably, the electroencephalogram signal acquisition device is an EEG electrode.
Preferably, the dynamic and gait biofeedback balance training subsystem comprises a dynamic data detection device, a gait data detection device and a biofeedback device,
the dynamic data detection equipment comprises a movable platform for the patient to stand for testing, a pressure sensor which is arranged in the movable platform and used for sensing the gravity center pressure of the patient, and a posture swing sensor which is worn on the limb of the patient and used for sensing whether the standing posture of the patient is balanced or not,
the attitude swing sensor includes wireless gyroscope sensors worn on the waist and ankle of the patient.
Preferably, the gait data detecting device is the wireless gyro sensor worn at the waist of the patient.
Preferably, the biofeedback equipment comprises a bilateral vibrator worn on the head of the patient and an LED lamp worn in front of the forehead of the patient, and when the software expert and remote diagnosis subsystem judges that the inclination of the body of the patient to the left or the right or the forward or backward exceeds an inclination threshold according to the detection data sent by the dynamic and gait biofeedback balance training subsystem, the software expert and remote diagnosis subsystem prompts the patient that the current body of the patient is unbalanced and needs action correction by controlling the vibration state of the bilateral vibrator or the lighting state of the LED lamp.
Preferably, the software expert and remote diagnosis subsystem comprises:
the vestibular damage degree evaluation module is in communication connection with a clinical test data management platform and is used for carrying out grading evaluation on the vestibular damage degree of the patient according to the vestibular rehabilitation information of the patient recorded on the clinical test data management platform;
the VOR evaluation module is used for carrying out VOR grading evaluation on the patient according to the examination result of the dynamic visual acuity and the staring stability of the patient;
and the VSR evaluation module is used for carrying out VSR grading evaluation on the patient according to the results of the standing test of the movable platform, the walking test of the patient and the sensory integration test of the dynamic posturograph.
Preferably, the vestibular rehabilitation subsystem specifically includes:
the vestibular rehabilitation training scheme generation module is respectively connected with the vestibular damage degree evaluation module, the VOR evaluation module and the VSR evaluation module and is used for generating the vestibular rehabilitation training scheme suitable for the patient according to the evaluation result of each evaluation module;
the vestibular rehabilitation training module is connected with the vestibular rehabilitation training scheme generating module and is used for carrying out vestibular disease treatment on the patient according to the vestibular rehabilitation training scheme;
in one step, the vestibular rehabilitation training module specifically comprises:
the exercise endurance training unit is used for carrying out exercise endurance training on the patient according to the vestibular rehabilitation training scheme;
a gaze stability training unit for performing a gaze stability training on the patient according to the vestibular rehabilitation training protocol;
the balance and gait training unit is used for carrying out balance and gait training on the patient according to the vestibular rehabilitation training scheme;
the habituation training unit is used for carrying out habituation training on the patient according to the vestibule rehabilitation training scheme;
and the cognitive behavior treatment unit is used for carrying out cognitive behavior treatment on the patient according to the vestibular rehabilitation training scheme.
2. A vestibular rehabilitation training feedback method is provided, the method comprising:
the method comprises the following steps that S1, eye movement data and electroencephalogram data of a patient are detected through a virtual reality eye movement and electroencephalogram detection subsystem when the patient conducts vestibular rehabilitation training and are sent to a software expert and a remote diagnosis subsystem;
s2, detecting the dynamic data and gait data of the limbs of the patient during vestibular rehabilitation training through a dynamic and gait biofeedback balance training subsystem, sending the dynamic data and gait data to the software expert and the remote diagnosis subsystem, and feeding back the limb balance degree of the patient during vestibular rehabilitation training;
and S3, analyzing and evaluating the vestibular rehabilitation degree of the patient by the software expert and the remote diagnosis subsystem based on detection data sent by the virtual reality eye movement and brain electricity detection subsystem and the dynamic and gait biofeedback balance training subsystem, generating a vestibular rehabilitation training scheme and providing a targeted vestibular rehabilitation training means through hardware equipment.
Preferably, the virtual reality eye movement and brain electricity detection subsystem comprises a VR head-mounted display, 2 eye movement tracking cameras are mounted in the VR head-mounted display, and the virtual reality eye movement and brain electricity detection subsystem acquires video images of left and right eye pupil movements as the eye movement data through the 2 eye movement tracking cameras when the patient performs vestibular rehabilitation training;
the VR head-mounted display is also provided with an electroencephalogram signal acquisition device, and the virtual reality eye movement and electroencephalogram detection subsystem acquires EEG signals of the forehead and the ear of the patient as electroencephalogram data through the electroencephalogram signal acquisition device;
the dynamic and gait biofeedback balance training subsystem comprises dynamic data detection equipment, gait data detection equipment and biofeedback equipment,
the dynamic data detection equipment comprises a movable platform for the patient to stand for testing, a pressure sensor which is arranged in the movable platform and used for sensing the gravity center pressure of the patient, and a posture swing sensor which is worn on the limb of the patient and used for sensing whether the standing posture of the patient is balanced or not,
the posture swing sensor comprises wireless gyroscope sensors worn on the waist and the ankle of the patient;
the dynamic and gait biofeedback balance training subsystem acquires the limb dynamic data through the movable platform, the pressure sensor arranged on the movable platform and the posture swing sensor worn on the limb of the patient;
the gait data detection device is the wireless gyroscope sensor worn on the waist of the patient, and the dynamic and gait biofeedback balance training subsystem takes the standing posture data detected by the wireless gyroscope sensor as the gait data;
the biological feedback equipment comprises a bilateral vibrator worn on the head of the patient and an LED lamp worn in front of the forehead of the patient, and when the software expert and the remote diagnosis subsystem judge that the inclination of the body of the patient to the left or the right or the forward or backward is more than an inclination threshold value according to detection data sent by the dynamic and gait biological feedback balance training subsystem, the software expert and the remote diagnosis subsystem prompt the patient that the current body of the patient is unbalanced and needs action correction by controlling the vibration state of the bilateral vibrator or the lighting state of the LED lamp;
the software expert and remote diagnosis subsystem comprises:
the vestibular damage degree evaluation module is in communication connection with a clinical test data management platform and is used for carrying out grading evaluation on the vestibular damage degree of the patient according to the vestibular rehabilitation information of the patient recorded on the clinical test data management platform;
the VOR evaluation module is used for carrying out VOR grading evaluation on the patient according to the examination result of the dynamic visual acuity and the staring stability of the patient;
the VSR evaluation module is used for carrying out VSR grading evaluation on the patient according to the results of the standing test of the movable platform, the walking test and the sensory integration test of the dynamic postural tracer of the patient;
the vestibular rehabilitation training scheme generation module is respectively connected with the vestibular damage degree evaluation module, the VOR evaluation module and the VSR evaluation module and is used for generating the vestibular rehabilitation training scheme suitable for the patient according to the evaluation result of each evaluation module;
the vestibular rehabilitation training guidance module is connected with the vestibular rehabilitation training scheme generation module and is used for guiding the patient to carry out vestibular rehabilitation training according to a scheme according to the vestibular rehabilitation training scheme;
the vestibule rehabilitation training module specifically comprises:
the exercise endurance training unit is used for carrying out exercise endurance training on the patient according to the vestibular rehabilitation training scheme;
a gaze stability training unit for performing a gaze stability training on the patient according to the vestibular rehabilitation training protocol;
the balance and gait training unit is used for carrying out balance and gait training on the patient according to the vestibular rehabilitation training scheme;
the habitual training guidance unit is used for carrying out habitual training on the patient according to the vestibule rehabilitation training scheme;
and the cognitive behavior treatment unit is used for carrying out cognitive behavior treatment on the patient according to the vestibular rehabilitation training scheme.
The invention realizes the accurate acquisition of the vestibular rehabilitation training data and the rehabilitation training biofeedback data, provides a scientific treatment scheme for the rehabilitation training of the vestibular disease patients and realizes the remote guidance and training of the rehabilitation training.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly described below. It is obvious that the drawings described below are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
Fig. 1 is a schematic view of a communication connection between a vestibular rehabilitation training feedback system and a computer according to an embodiment of the present invention;
fig. 2 is a block diagram of the software and hardware structure of the vestibular rehabilitation training feedback system;
fig. 3 is a schematic structural diagram of a VR head-mounted display provided in this embodiment;
FIG. 4 is a schematic illustration of a patient standing on a mobile platform for standing tests and a dynamic data detection device;
fig. 5 is a schematic view of a patient undergoing gait training.
Detailed Description
The technical scheme of the invention is further explained by the specific implementation mode in combination with the attached drawings.
Wherein the showings are for the purpose of illustration only and are shown by way of illustration only and not in actual form, and are not to be construed as limiting the present patent; to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar components; in the description of the present invention, it should be understood that if the terms "upper", "lower", "left", "right", "inner", "outer", etc. are used to indicate an orientation or a positional relationship based on that shown in the drawings, it is only for convenience of description and simplification of description, but not to indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes and are not to be construed as limitations on the present patent, and specific meanings of the terms may be understood according to specific situations by those of ordinary skill in the art.
In the description of the present invention, unless otherwise explicitly specified or limited, the term "connected" or the like, if appearing to indicate a connection relationship between the components, is to be understood broadly, for example, as being fixed or detachable or integral; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or may be connected through one or more other components or may be in an interactive relationship with one another. The specific meanings of the above terms in the present invention can be understood in a specific case to those of ordinary skill in the art.
The vestibule rehabilitation training feedback system provided by the embodiment of the present invention, as shown in fig. 1 and 2, includes:
the virtual reality eye movement and brain electrical detection subsystem 1 is used for detecting the eye movement data and brain electrical data of a patient when the patient does vestibular rehabilitation training and sending the eye movement data and brain electrical data to the software expert and the remote diagnosis subsystem;
the dynamic and gait biofeedback balance training subsystem 2 is used for detecting the limb dynamic data and gait data of a patient during vestibular rehabilitation training, sending the limb dynamic data and gait data to the software expert and the remote diagnosis subsystem, and feeding back the limb balance degree of the patient during vestibular rehabilitation training;
the software expert and the remote diagnosis subsystem 3 are in communication connection with the virtual reality eye movement and brain electricity detection subsystem 1 and the dynamic and gait biofeedback balance training subsystem 2, and are used for analyzing and evaluating the vestibular rehabilitation degree of the patient based on detection data sent by the virtual reality eye movement and brain electricity detection subsystem and the dynamic and gait biofeedback balance training subsystem, generating a vestibular rehabilitation training scheme and guiding the patient to carry out vestibular rehabilitation training according to the scheme.
Specifically, the system is based on sensor data and biological signals obtained from patients through subsystems 1 and 2, is combined with vestibular rehabilitation circulation syndrome treatment evidences, simulates the thinking diagnosis process of a doctor through expert system Vertigone software, evaluates the psychology and the course of the patients, automatically generates a vestibular rehabilitation training scheme, and is implemented after the confirmation of the doctor. The subsystem 1 makes up the defect that the existing vestibular rehabilitation VR equipment does not have eye movement and brain electrical monitoring, monitors the compliance of a patient, and improves the effectiveness of rehabilitation training; the subsystem 2 makes up the defects that the prior dynamic balancing instrument and gait balancing instrument of the same kind of equipment have no biofeedback and can not be detected quantitatively and repeatedly; the subsystem 1 acquires the spatial positions of the head and the upper limbs of a patient, the gravity center swing amplitude of the waist (L3) and the muscle force data of the ankles, calculates the correlation among the data through software, and submits the data to a software expert system Vertigone for processing; the subsystem 2 measures the swing of the gravity center of a human body through a gyroscope sensor at the waist (L3), and realizes the biofeedback rehabilitation training of a patient through vibrators at the left side and the right side of the head and an LED lamp in front of the forehead. Software expert and remote diagnosis subsystem 3 not only can be used for the hospital, can upload the rehabilitation training result of patient at home to the high in the clouds in addition, accepts expert system Vertigone's guidance.
Specifically, as shown in fig. 3, the virtual reality eye movement and brain electrical detection subsystem 1 includes a VR head-mounted display 11, 2 eye movement tracking cameras 12 are installed in the VR head-mounted display 11, and are respectively used for collecting video images of left and right eye pupil movements when the patient performs vestibular rehabilitation training.
An electroencephalogram signal acquisition device 13 (preferably, an EEG electrode) is further mounted on the VR head-mounted display 11, and is used for acquiring EEG signals of the forehead and the ear of the patient when the patient performs vestibular rehabilitation training.
The collected eye movement video and EEG signals (EEG signals) are transmitted to a computer, and the expert system Vertigone software is used for observing whether a patient watches a target point in the eyepiece as required in real time in different tests and rehabilitation trainings; meanwhile, the attention distribution and the electroencephalogram rhythm of the patient are analyzed by recording the EEG signals of the forehead and ear electrodes of the patient, and the patient is judged to be in a tense state or a relaxed state; the activation state of the vestibular cortex and other sensory cortex can also be analyzed to guide the whole process of rehabilitation training.
The dynamic and gait biofeedback balance training subsystem 2 comprises a dynamic data detection device, a gait data detection device and a biofeedback device,
as shown in fig. 4, the dynamic data detecting apparatus includes a movable platform 21 for a patient to stand for testing, a pressure sensor 22 disposed in the movable platform 21 for sensing the pressure of the center of gravity of the patient, and a posture swing sensor 23 worn on the limb of the patient for sensing whether the standing posture of the patient is balanced,
the attitude swing sensor 23 includes a wireless gyro sensor worn on the waist and ankle of the patient.
The standing test of the movable platform needs to eliminate the excessive dependence of the patient on vision and proprioception, calculate the gravity center track of the patient through a pressure sensor in the platform, and analyze and evaluate the effect of vestibular function on balance. The damage degree of the balance function of the patient is comprehensively evaluated through the electromyographic signals of the ankle and the swing signals of the waist, and the rehabilitation effect of vestibular spinal cord reflex (VSR) can be evaluated in real time.
As shown in fig. 5, the gait data detecting device is a wireless gyro sensor worn on the waist of the patient.
The biological feedback equipment comprises a double-sided vibrator 24 worn on the head of a patient and an LED lamp 25 worn in front of the forehead of the patient, and when the software expert and the remote diagnosis subsystem 3 judges that the inclination of the body of the patient to the left or the right or the forward or the backward exceeds an inclination threshold value according to detection data sent by the dynamic and gait biological feedback balance training subsystem 2, the patient is prompted to perform action correction when the current body of the patient is unbalanced by controlling the vibration state of the double-sided vibrator 24 or the lighting state of the LED lamp 25.
The gait test in the advancing process can not only calculate the gravity center track of the patient according to the data of the gyroscope sensor worn by the waist of the patient, but also judge the left-right and front-back inclination degree of the patient. When the patient inclines leftwards during the moving or action and exceeds a threshold value, the head vibrator on the left side of the patient vibrates to prompt the patient to correct the action rightwards; and vice versa. When the body of the patient leans forward and exceeds the threshold value, the LED lamp in front of the forehead is turned on, and the patient is prompted to correct the action backwards. The patient forms a biofeedback closed loop path by sensing the head vibration and the LED lamp in front of the forehead, and the training process is a process of repeated memory of the brain, so that a better rehabilitation effect can be achieved.
The software specialist and the remote diagnosis subsystem 3 aim to realize the integration of vestibular disease assessment and treatment follow-up, and the specific functions of the software specialist and the remote diagnosis subsystem 3 are as follows:
(1) Personalized evaluation: the invention innovatively combines the examination such as dynamic visual acuity, gaze stability examination, posture control evaluation and the like with a treatment system, evaluates a patient before the recovery of a forecourt, is not limited to simple scale evaluation, focuses on objective evaluation, simultaneously evaluates the corresponding psychological state of the patient, and helps the patient to realize individualized and dynamic treatment through multi-dimensional evaluation.
The software expert and the remote diagnosis subsystem 3 have adopted vestibular disease evaluation indexes and evaluation methods, and the evaluation indexes and the evaluation methods are shown in the following table a:
TABLE a
The system starts from the most common symptoms of dizziness, vibration illusion, blurred vision, unstable posture, unbalance posture, falling and the like of patients with vestibular diseases, is in communication connection with a clinical test data management platform, carries out grading evaluation on the vestibular function damage degree, VOR and VSR functions of the patients, and establishes a grading standard for evaluating the vestibular function damage/vestibular rehabilitation degree, thereby being beneficial to quickly judging the vestibular function and vestibular rehabilitation effect of the patients.
(A) For the hospital/software expert system, accurate function evaluation is required, including evaluation of 8 projects, the system automatically generates grades according to cloud computing, and evaluation indexes of the 8 projects are specifically shown in the following table b:
table b
(B) Can only carry out scale aassessment/bedside evaluation to internet APP/high in the clouds expert system (patient is at home self-rated/basic level hospital), the system is according to the cloud calculation automatic generation hierarchical, the effect of the rehabilitation of coarse evaluation, the scale aassessment index is shown in table c below:
table c
(2) Personalized treatment: based on evidence of evidence, five modules of (1) exercise endurance training (2) staring stability training (3) balance and gait training (4) habitual training (5) cognitive behavior treatment are creatively arranged in front-court rehabilitation training, and multi-dimensional treatment is provided for vestibular rehabilitation patients.
(1) Training the exercise endurance: the vestibule rehabilitation powder is used for helping a patient to improve exercise endurance and adjust state through simple aerobic exercise before vestibule rehabilitation treatment, and better developing vestibule rehabilitation.
(2) And (3) staring stability training: the method is used for changing the size, distance and background complexity of a target on the basis of the existing gaze stability training so as to increase the training difficulty; in the later training, the fixation stability training and the balance gait training are combined, and the position and the gait of the support plane and the patient are changed, so that the training difficulty is increased.
(3) Balance and gait training: vestibular rehabilitation typically involves balance and gait training under challenging sensory and dynamic conditions. These exercises are intended to promote more participation in vision and/or somatic sensation to replace the loss of vestibular function, with compensation, i.e. sensory integration, by the center in replacement training to improve posture. Balancing exercises involve balancing in the event of visual changes (e.g., visual disturbance or transfer) and/or somatosensory input (e.g., foam or moving surfaces), and may involve changes in the support base (e.g., romberg, strengthening Romberg, standing on one leg) to increase difficulty. The center of gravity transfer may be used to improve center of gravity control and balance recovery. Gait exercises are performed dynamically, including turning the head while walking or performing a second task while walking. The method can also be used for training by using equipment such as game technology and virtual reality.
(4) Training clothes: the invention is based on the clothes-learning mechanism of vestibule rehabilitation, carries out layered design on the conventional clothes-learning training, constructs different training sub-modules and carries out targeted training. The invention sets 3 modules for habitual training based on a habitual mechanism, and comprises (a) performing Brandt-Daroff habitual training on otolith-induced dizziness patients; (b) Carrying out corresponding habitual training for the patient with the vestibular symptom induced by the head movement; (c) The method aims at inducing vision sensitivity/dependence related vestibular diseases such as visual vertigo, motion sickness, spatial and motor phobias, continuous posture-perception dizziness and the like in a mobile/complex visual scene to perform corresponding visual stimulation and train in a 3D stereoscopic and visually challenging environment. Setting a scene: small and full visual field optokinetic, 3D scene stimulation.
(5) And (3) cognitive behavior treatment: the invention is provided with a cognitive behavior treatment module besides a conventional vestibule rehabilitation module, and comprises the steps of carrying out patient education before treatment, providing relaxation training for patients to relieve anxiety (such as meditation, abdominal breathing, square breathing, spontaneous training and the like) in a conventional training interval, assisting cognitive behavior treatment after conventional treatment for patients with unfavorable emotions such as anxiety, depression and the like, changing the unfavorable cognition and inappropriate thinking modes of the patients by changing thinking and behaviors, establishing a correct thinking mode to fulfill the aim of eliminating the unfavorable emotion and seeking a correct problem solving method. Biofeedback in the hardware system herein also helps cognitive behavioral therapy.
(3) And (3) supervision follow-up visit: the invention provides a software expert system applied in a hospital, and also comprises a cloud expert system which is used for performing online guidance and follow-up visit on the rehabilitation of the home vestibule of a patient through the Internet/a mobile phone APP. The system guides patients to assist in home training aiming at the in-hospital evaluation and treatment condition of the patients in an expert system, and is beneficial to the treatment and the regular follow-up of the patients. And the family online guidance can provide convenient family rehabilitation treatment for patients who can not carry out vestibular rehabilitation in hospitals. The vestibule rehabilitation training of communities and families is completed under the guidance of cloud videos by means of conventional VR eyepieces and simple geometric-shaped equipment.
It should be understood that the above-described embodiments are merely preferred embodiments of the invention and the technical principles applied thereto. It will be understood by those skilled in the art that various modifications, equivalents, changes, and the like can be made to the present invention. However, such variations are within the scope of the invention as long as they do not depart from the spirit of the invention. In addition, certain terminology used in the description and claims of the present application is not limiting, but is used for convenience only.
Claims (10)
1. A vestibule rehabilitation training feedback system based on VR technique, comprising:
the virtual reality eye movement and electroencephalogram detection subsystem is used for detecting eye movement data and electroencephalogram data of a patient when the patient performs vestibular rehabilitation training and sending the eye movement data and the electroencephalogram data to the software expert and the remote diagnosis subsystem;
the dynamic and gait biofeedback balance training subsystem is used for detecting the limb dynamic data and the gait data of the patient during vestibular rehabilitation training, sending the limb dynamic data and the gait data to the software expert and the remote diagnosis subsystem, and feeding back the limb balance degree of the patient during vestibular rehabilitation training;
the software expert and the remote diagnosis subsystem are in communication connection with the virtual reality eye movement and electroencephalogram detection subsystem and the dynamic and gait biofeedback balance training subsystem and are used for analyzing and evaluating the vestibular rehabilitation degree of the patient based on detection data sent by the virtual reality eye movement and electroencephalogram detection subsystem and the dynamic and gait biofeedback balance training subsystem;
and the vestibular rehabilitation subsystem is in communication connection with the software expert and the remote diagnosis subsystem, generates a vestibular rehabilitation training scheme and guides the patient to carry out vestibular rehabilitation training according to the scheme.
2. The vestibular rehabilitation training feedback system of claim 1, wherein the virtual reality eye movement and brain electrical detection subsystem comprises a VR head-mounted display, and 2 eye movement tracking cameras are mounted in the VR head-mounted display and are respectively used for collecting video images of left and right eye pupils moving when the patient performs vestibular rehabilitation training;
and the VR head-mounted display is also provided with an electroencephalogram signal acquisition device which is used for acquiring the EEG signals of the forehead and the ear of the patient when the patient performs vestibular rehabilitation training.
3. The vestibular rehabilitation training feedback system of claim 2, wherein the electroencephalogram signal acquisition device is an EEG electrode.
4. The vestibular rehabilitation training feedback system of claim 2, wherein the dynamic and gait biofeedback balance training subsystem comprises a dynamic data detection device, a gait data detection device and a biofeedback device,
the dynamic data detection equipment comprises a movable platform for the patient to stand for testing, a pressure sensor which is arranged in the movable platform and used for sensing the gravity center pressure of the patient, and a posture swing sensor which is worn on the limb of the patient and used for sensing whether the standing posture of the patient is balanced or not,
the attitude swing sensor includes wireless gyroscope sensors worn on the waist and ankle of the patient.
5. The vestibular rehabilitation training feedback system of claim 4, wherein the gait data detection device is the wireless gyroscope sensor worn at the waist of the patient.
6. The vestibular rehabilitation training feedback system according to claim 4, wherein the biofeedback device comprises a bilateral vibrator worn on the head of the patient and an LED lamp worn in front of the forehead of the patient, and when the software expert and remote diagnosis subsystem determines that the inclination of the body of the patient to the left or the right or the forward or backward exceeds an inclination threshold according to the detection data sent by the dynamic and gait biofeedback balance training subsystem, the software expert and remote diagnosis subsystem prompts the patient that the current body imbalance of the patient needs action correction by controlling the vibration state of the bilateral vibrator or the light-on state of the LED lamp.
7. The vestibular rehabilitation training feedback system of claim 1, wherein the software specialist and remote diagnosis subsystem includes:
the vestibular damage degree evaluation module is in communication connection with a clinical test data management platform and is used for carrying out grading evaluation on the vestibular damage degree of the patient according to the vestibular rehabilitation information of the patient recorded on the clinical test data management platform;
the VOR evaluation module is used for carrying out VOR grading evaluation on the patient according to the examination result of the dynamic visual acuity and the staring stability of the patient;
and the VSR evaluation module is used for carrying out VSR grading evaluation on the patient according to the moving platform standing test, the walking gait test result and the dynamic posturograph sensory integration test result of the patient.
8. The vestibular rehabilitation training feedback system according to claim 7, wherein the vestibular rehabilitation subsystem specifically comprises:
the vestibular rehabilitation training scheme generation module is respectively connected with the vestibular damage degree evaluation module, the VOR evaluation module and the VSR evaluation module and is used for generating the vestibular rehabilitation training scheme suitable for the patient according to the evaluation result of each evaluation module;
the vestibular rehabilitation training module is connected with the vestibular rehabilitation training scheme generating module and is used for treating the vestibular diseases of the patient according to the vestibular rehabilitation training scheme;
the vestibule rehabilitation training module specifically comprises:
the exercise endurance training unit is used for carrying out exercise endurance training on the patient according to the vestibular rehabilitation training scheme;
a gaze stability training unit for performing gaze stability training on the patient according to the vestibular rehabilitation training protocol;
the balance and gait training unit is used for carrying out balance and gait training on the patient according to the vestibular rehabilitation training scheme;
the habituation training unit is used for carrying out habituation training on the patient according to the vestibule rehabilitation training scheme;
and the cognitive behavior treatment unit is used for carrying out cognitive behavior treatment on the patient according to the vestibular rehabilitation training scheme.
9. A vestibular rehabilitation training feedback method, the method comprising:
the method comprises the following steps that S1, eye movement data and electroencephalogram data of a patient are detected through a virtual reality eye movement and electroencephalogram detection subsystem when the patient conducts vestibular rehabilitation training and are sent to a software expert and a remote diagnosis subsystem;
s2, detecting the limb dynamic data and gait data of the patient during vestibular rehabilitation training through a dynamic and gait biofeedback balance training subsystem, sending the limb dynamic data and gait data to the software expert and the remote diagnosis subsystem, and feeding back the limb balance degree of the patient during vestibular rehabilitation training;
and S3, analyzing and evaluating the vestibular rehabilitation degree of the patient by the software expert and the remote diagnosis subsystem based on detection data sent by the virtual reality eye movement and brain electricity detection subsystem and the dynamic and gait biofeedback balance training subsystem, generating a vestibular rehabilitation training scheme and providing a targeted vestibular rehabilitation training means through hardware equipment.
10. The vestibular rehabilitation training feedback method according to claim 9, wherein the virtual reality eye movement and brain electrical detection subsystem comprises a VR head-mounted display, 2 eye movement tracking cameras are mounted in the VR head-mounted display, and the virtual reality eye movement and brain electrical detection subsystem acquires video images of left and right eye pupil movements as the eye movement data through the 2 eye movement tracking cameras when the patient performs vestibular rehabilitation training;
the VR head-mounted display is also provided with an electroencephalogram signal acquisition device, and the virtual reality eye movement and electroencephalogram detection subsystem acquires EEG signals of the forehead and the ear of the patient as electroencephalogram data through the electroencephalogram signal acquisition device;
the dynamic and gait biofeedback balance training subsystem comprises dynamic data detection equipment, gait data detection equipment and biofeedback equipment,
the dynamic data detection equipment comprises a movable platform for the patient to stand for testing, a pressure sensor which is arranged in the movable platform and used for sensing the gravity center pressure of the patient, and a posture swing sensor which is worn on the limb of the patient and used for sensing whether the standing posture of the patient is balanced or not,
the posture swing sensor comprises wireless gyroscope sensors worn on the waist and the ankle of the patient;
the dynamic and gait biofeedback balance training subsystem acquires the limb dynamic data through the movable platform, the pressure sensor arranged on the movable platform and the posture swing sensor worn on the limb of the patient;
the gait data detection device is the wireless gyroscope sensor worn on the waist of the patient, and the dynamic and gait biofeedback balance training subsystem takes the standing posture data detected by the wireless gyroscope sensor as the gait data;
the biological feedback equipment comprises a bilateral vibrator worn on the head of the patient and an LED lamp worn in front of the forehead of the patient, and when the software expert and the remote diagnosis subsystem judge that the inclination of the body of the patient to the left or the right or the forward or backward is more than an inclination threshold value according to detection data sent by the dynamic and gait biological feedback balance training subsystem, the software expert and the remote diagnosis subsystem prompt the patient that the current body of the patient is unbalanced and needs action correction by controlling the vibration state of the bilateral vibrator or the lighting state of the LED lamp;
the software expert and remote diagnosis subsystem comprises:
the vestibular damage degree evaluation module is in communication connection with a clinical test data management platform and is used for carrying out grading evaluation on the vestibular damage degree of the patient according to the vestibular rehabilitation information of the patient recorded on the clinical test data management platform;
the VOR evaluation module is used for carrying out VOR grading evaluation on the patient according to the examination result of the dynamic visual acuity and the staring stability of the patient;
the VSR evaluation module is used for carrying out VSR grading evaluation on the patient according to the results of the standing test of the movable platform, the walking test and the sensory integration test of the dynamic postural tracer of the patient;
the vestibular rehabilitation training scheme generation module is respectively connected with the vestibular damage degree evaluation module, the VOR evaluation module and the VSR evaluation module and is used for generating the vestibular rehabilitation training scheme suitable for the patient according to the evaluation result of each evaluation module;
the vestibular rehabilitation training guidance module is connected with the vestibular rehabilitation training scheme generation module and used for guiding the patient to carry out vestibular rehabilitation training according to a scheme according to the vestibular rehabilitation training scheme;
the vestibule rehabilitation training module specifically comprises:
the exercise endurance training unit is used for carrying out exercise endurance training on the patient according to the vestibular rehabilitation training scheme;
a gaze stability training unit for performing a gaze stability training on the patient according to the vestibular rehabilitation training protocol;
a balance and gait training unit for performing balance and gait training on the patient according to the vestibular rehabilitation training scheme;
the habitual training guidance unit is used for performing habitual training on the patient according to the vestibular rehabilitation training scheme;
and the cognitive behavior treatment unit is used for carrying out cognitive behavior treatment on the patient according to the vestibular rehabilitation training scheme.
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