WO2020015204A1

WO2020015204A1 - Virtual reality-based upper and lower limbs rehabilitation training method and system

Info

Publication number: WO2020015204A1
Application number: PCT/CN2018/109364
Authority: WO
Inventors: 王俊华
Original assignee: 广州市三甲医疗信息产业有限公司
Priority date: 2018-07-18
Filing date: 2018-10-08
Publication date: 2020-01-23
Also published as: CN108939511A; CN108939511B

Abstract

The present invention relates to the field of rehabilitation training, and relates to a virtual reality-based upper and lower limbs rehabilitation training method, comprising: creating an account of a patient and entering personalized information of the patient; setting an angle of motion evaluation mode; initializing a virtual reality-based rehabilitation game; assessing a training status of the patient implementing upper and lower limbs rehabilitation training using the rehabilitation game in real time and providing feedback, and after the game ends, uploading training data and generating an assessment report; and performing data synchronization and responding to a query. The present invention also provides a corresponding system. According to the present invention, instant assessment and feedback of rehabilitation training are implemented while implementing upper and lower limbs rehabilitation training by means a game in a virtual scene full of entertain and interest; in addition, by selecting three rehabilitation training categories in a rehabilitation game and selecting rehabilitation training modes in each category and a plurality of scene difficulty degree categories, a virtual reality-based precise upper and lower limbs rehabilitation training method is finally formed.

Description

Method and system for limb rehabilitation training based on virtual reality

Technical field

The invention relates to the field of rehabilitation training, in particular to a method and system for limb rehabilitation training based on virtual reality.

Background technique

Virtual reality technology has developed rapidly in recent years and has gradually penetrated into our lives. The industries with more VR applications in China are the game industry and the education industry. A small amount of virtual reality technology has been used in the medical field, but there are still relatively few virtual reality technologies used in the field of rehabilitation medicine. At present, a small amount of virtual reality technology in the field of rehabilitation medicine is still at the game level. It is neither invasive nor interactive. Paralyzed patients are a special group. They have different degrees of movement disorders. If the games on the market are simply introduced into the field of rehabilitation, the purpose of combining rehabilitation medicine and new intelligent technology to improve the effect of rehabilitation training cannot be achieved.

Summary of the invention

The embodiments of the present invention aim to solve at least one of the technical problems existing in the prior art. For this reason, the embodiments of the present invention need to provide a method and system for limb rehabilitation training based on virtual reality.

The method for limb rehabilitation training based on virtual reality according to the embodiment of the present invention is characterized by including:

Step 1. Create a patient's account and enter the patient's personalized information in the account;

Step 2. Set the motion angle evaluation mode;

Step 3: Initialize a rehabilitation game based on virtual reality, and select a rehabilitation training category, a rehabilitation training mode, a rehabilitation training time, and a rehabilitation training scene difficulty level category. Among them, there are at least two kinds of rehabilitation training categories. The training mode includes at least two modes; the rehabilitation training scene in each rehabilitation training mode includes at least two types of rehabilitation training difficulty levels;

Step 4. Real-time assessment of the training situation of the limb rehabilitation training by the patient using the rehabilitation game and giving feedback to the patient, upload the training data and generate an evaluation report after the rehabilitation game;

Step 5. After the rehabilitation training is completed, the training data is stored in the local database and the cloud database; when it is determined that the data of the local database changes, the cloud database is updated synchronously according to the changes, so that the cloud database and the local database remain consistent;

Step 6. Receive a query request for historical evaluation reports or training results, and feed back corresponding evaluation reports or training results according to the query request.

In one embodiment, step 3 includes:

Initialize a rehabilitation game based on virtual reality, and select a rehabilitation training category, rehabilitation training mode, rehabilitation training time, and rehabilitation training scene difficulty category according to the patient's situation;

Among them, the rehabilitation training category includes horizontal rotation category, vertical swing category and three-dimensional comprehensive category;

Rehabilitation training modes include one-handed training mode and two-handed training mode;

The difficulty level categories of rehabilitation training scenes include first degree, second degree, and third degree.

In one embodiment, step 4 includes:

Step 41: The host computer program collects the angle data of the patient rotating in the left and right direction, swinging up and down, or ankle movement when using the rehabilitation game to perform limb rehabilitation training through the angle sensor, and draws an angle curve trend chart based on the angle data for the rehabilitation physician to perform real-time evaluation;

Step 42: The virtual reality program receives the angle data sent by the upper computer program, drives the object movement in the rehabilitation game according to the angle data, and gives feedback according to the training situation of the patient in the rehabilitation game;

Step 43: The virtual reality program uploads training data to the host computer program after the rehabilitation game ends;

Step 44: The host computer program generates an evaluation report according to the training data.

In one embodiment, step 42 includes:

The virtual reality program receives the angle data sent by the upper computer program, and drives the object movement in the rehabilitation game according to the angle data;

The feedback according to the training situation of the patient in the rehabilitation game is as follows:

If the patient does not obtain the game target more than a predetermined number of times in the rehabilitation game, a prompt is issued to the patient to strengthen the acquisition of the game target;

and / or

If the patient's goal completion in the rehabilitation game meets the preset positive incentive conditions, the patient will be prompted for positive incentives. Among them, the positive incentive conditions include: consecutively obtaining more than a predetermined number of game goals, and the score of this game exceeds the last time Score the game, get the highest score for this game, or get the highest score in game history.

In one embodiment, step 44 includes:

The host computer program calculates training data based on preset weights to obtain training scores. The calculation formula is as follows:

Total score = W1 × U1 + W2 × U2 + W3 × U3 + W4 × U4

The preset weights include the weight W1 of the training mode difficulty degree U1, the weight W2 of the training completion ratio U2, the weight W3 of the training completion time U3, and the weight W4 of the target completion ratio U4;

U1 is set to 60 in simple mode, 80 in normal mode, and 100 in difficult mode.

The value of U2 is 0 to 100%;

U3 is less than or equal to the preset total time value is 100, and less than or equal to 5 minutes

It is 80, and the value is 60 for more than 5 minutes.

The value of U4 is 0 to 100%;

The upper computer program then graphically processes the training scores and other training data to generate an evaluation report for rehabilitation training analysis. The report includes a comparison histogram of the last training score, the current training score, and the best training score, and The pie charts of the last training, this training and the best training.

An embodiment of the present invention also proposes a limb rehabilitation training system based on virtual reality, which is characterized by including:

Account module, used to create a patient's account and enter patient personalized information in the account;

A setting module for setting a motion angle evaluation mode;

An initialization module is used to initialize a rehabilitation game based on virtual reality, and select a rehabilitation training category, a rehabilitation training mode, a rehabilitation training time, and a rehabilitation training scene difficulty level category. Among them, there are at least two kinds of rehabilitation training categories. Rehabilitation training mode includes at least two modes; the rehabilitation training scene in each rehabilitation training mode includes at least two training difficulty categories;

Evaluation feedback module, used for real-time evaluation of the training situation of patients using limbs rehabilitation training using rehabilitation games and giving feedback to patients, uploading training data and generating evaluation reports after the rehabilitation games;

The storage synchronization module is used to store the training data to the local database and the cloud database after the rehabilitation training is completed; when it is determined that the data of the local database changes, the cloud database is updated synchronously according to the changes, so that the cloud database and the local database are consistent;

The query module is used to receive a query request for historical evaluation reports or training results, and feedback the corresponding evaluation report or training results according to the query request.

In an implementation manner, the initialization module is specifically configured to initialize a rehabilitation game based on virtual reality, and select a rehabilitation training category, a rehabilitation training mode, a rehabilitation training time, and a difficulty training scene rehabilitation category according to the situation of the patient;

Among them, the rehabilitation training categories include horizontal rotation category, vertical swing category and stereo comprehensive category;

In one embodiment, the evaluation feedback module includes a host computer program and a virtual reality program, wherein:

The upper computer program is used to collect angle data of rotation, left-and-right swing, or ankle movement of patients during rehabilitation training of limbs using rehabilitation games through angle sensors, and draw an angle curve trend chart based on the angle data for rehabilitation doctors to perform real-time evaluation;

The virtual reality program is used to receive the angle data sent by the host computer program, and drive the object movement in the rehabilitation game based on the angle data, and give feedback according to the training situation of the patient in the rehabilitation game;

The virtual reality program is also used to upload training data to the host computer program after the rehabilitation game is over;

The host computer program is also used to generate an evaluation report based on the training data.

In one embodiment, the virtual reality program is specifically configured to receive angle data sent by a host computer program, and drive the object movement in the rehabilitation game according to the angle data;

The virtual reality program gives feedback based on the patient's training in the rehabilitation game as follows:

and / or

In an implementation manner, the host computer program is specifically configured to calculate training data according to a preset weight to obtain a training score, and the calculation formula is as follows:

Total score = W1 × U1 + W2 × U2 + W3 × U3 + W4 × U4

U1 is set to 60 in simple mode, 80 in normal mode, and 100 in difficult mode.

The value of U2 is 0 to 100%;

It is 80, and the value is 60 for more than 5 minutes.

The value of U4 is 0 to 100%;

The method and system for limb rehabilitation training based on virtual reality according to the embodiments of the present invention enable patients to perform limb rehabilitation training through games in an entertaining and interesting virtual scene, while real-time assessment and feedback of rehabilitation training are achieved, and In the rehabilitation game based on virtual reality, choose three types of training: horizontal rotation, vertical swing and stereo integration based on limb rehabilitation equipment, and one-handed and two-handed training modes in each category to create each training mode Difficulties such as difficulty, medium and easy, finally formed a precise rehabilitation training method for limb rehabilitation based on virtual scenes, which realized an effective combination of rehabilitation medicine and virtual reality technology.

The advantages of the additional aspects of the present invention will be given in part in the following description, part of which will become apparent from the following description, or be learned through the practice of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

The above and / or additional aspects and advantages of the embodiments of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, wherein:

FIG. 1 is a schematic flowchart of a limb rehabilitation training method based on virtual reality according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of a limb rehabilitation training system based on virtual reality according to an embodiment of the present invention.

detailed description

The embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the drawings, wherein the same or similar reference numerals represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary and can only be used to explain the embodiments of the present invention, but should not be construed as limiting the embodiments of the present invention.

Please refer to FIG. 1 and FIG. 2, a virtual reality-based limb rehabilitation training method according to an embodiment of the present invention includes:

Step 1. Create a patient's account and enter patient personalized information in the account.

Step 2. Set the motion angle evaluation mode.

Step 3: Initialize a rehabilitation game based on virtual reality, and select a rehabilitation training category, a rehabilitation training mode, a rehabilitation training time, and a rehabilitation training scene difficulty level category. Among them, there are at least two kinds of rehabilitation training categories. The training mode includes at least two modes; the rehabilitation training scene under each rehabilitation training mode includes at least two types of rehabilitation training difficulty levels.

Step 4: Real-time evaluation of the training situation of the limb rehabilitation training performed by the patient using the rehabilitation game and giving feedback to the patient. After the rehabilitation game is over, the training data is uploaded and an evaluation report is generated.

Step 5. After the rehabilitation training is completed, the training data is stored in a local database and synchronized to a cloud database.

An embodiment of the present invention also simultaneously proposes an extremity rehabilitation training system based on virtual reality, including: an account module, a setting module, an initialization module, an evaluation feedback module, a storage synchronization module, and a query module. Among them, the introduction of each module is as follows:

The account module is used to create a patient's account and enter patient personalized information in the account.

A setting module is used to set a motion angle evaluation mode.

An initialization module is used to initialize a rehabilitation game based on virtual reality, and select a rehabilitation training category, a rehabilitation training mode, a rehabilitation training time, and a rehabilitation training scene difficulty level category. Among them, there are at least two kinds of rehabilitation training categories. The rehabilitation training mode includes at least two modes; in each rehabilitation training mode, the rehabilitation training scene includes at least two training difficulty categories.

Evaluation feedback module is used for real-time evaluation of the training situation of patients using limbs rehabilitation training using rehabilitation games and giving feedback to patients. After the rehabilitation game ends, upload training data and generate evaluation reports.

The storage synchronization module is used to store training data to a local database and synchronize to a cloud database after the rehabilitation training is completed.

In this embodiment, the virtual reality-based limb rehabilitation training method uses the virtual reality-based limb rehabilitation training system as a step execution target, and each module in the system may also be used as a step execution target. Specifically, step 1 is executed by the account module, step 2 is executed by the setting module, step 3 is executed by the initialization module, and step 4 is executed by the evaluation and feedback module. Step 5 is executed by the storage synchronization module, and step 6 is executed by the query module.

The invention can be used in conjunction with the Chinese utility model "upper limb rehabilitation training equipment and its virtual reality training system" with application number 201620862401.2, that is, upper limb rehabilitation training equipment and its virtual reality training system as hardware facilities for rehabilitation training to implement the invention An embodiment of a limb rehabilitation training method based on virtual reality.

In step 1, the account module creates a patient's account and enters the patient's personalized information in the account. Personalized information usually includes the patient's personal information, patient complaint, and course information. That is, the account module can create a patient's account, and then edit and save the user's personal information, such as name, gender, age, address, contact phone number, etc .; and the patient's main complaint and course information, such as the patient's self-reported symptoms or (and) Signs, nature, and duration, and the rehabilitation training process made by the rehabilitation physician. If the patient has already experienced a rehabilitation game, the setting information for the rehabilitation game is also part of the personalized information of the patient. The account module ensures that the next time the patient enters the rehabilitation game, the last saved setting is selected by default.

In step 2, the setting module sets a motion angle evaluation mode. Comprehensive exercise angle assessment is the basis for subsequent rehabilitation training; rehabilitation training games will be based on the results of user angle assessments for game planning, and the game will be used to guide users to exercise at the maximum angle of activity to optimize the effect of rehabilitation training; for example In the aircraft game, the targets are regularly arranged according to the maximum angle of the patient's assessment of up and down pressure, so that the patient can achieve the best rehabilitation effect in the rehabilitation training.

The setting module can display the exercise angle assessment mode of rehabilitation training to the rehabilitation physician through a graphical interface display mode, and the rehabilitation physician can implement the setting of the exercise angle assessment mode by clicking, touching, etc. with the mouse according to the condition of the patient. Specifically, the exercise angle evaluation mode includes a two-hand evaluation mode, a left-hand evaluation mode, or a right-hand evaluation mode, and the exercise angle evaluation mode is used for evaluation of left-right rotation angle, upward-downward pressure angle, or ankle joint motion angle. The setting module determines the setting of the exercise angle assessment mode of the rehabilitation training according to the selection of the rehabilitation physician.

In step 3, the initialization module initializes a virtual reality-based rehabilitation game, and selects a rehabilitation training category, a rehabilitation training mode, a rehabilitation training time, and a rehabilitation training scene difficulty level category. Among them, there are at least two kinds of rehabilitation training categories, each kind of rehabilitation training The rehabilitation training mode under the category includes at least two modes; the rehabilitation training scene under each rehabilitation training mode includes at least two types of rehabilitation training difficulty levels.

Specifically, step 3 includes: initializing a virtual reality-based rehabilitation game, and selecting a rehabilitation training category, a rehabilitation training mode, a rehabilitation training time, and a difficulty training scene difficulty classification category according to the patient's situation;

The difficulty level categories of rehabilitation training scenes include first degree, second degree, and third degree. Among the training difficulty levels, the first level may be the difficulty level, the second level may be the intermediate level, and the third level may be the ease level.

The situation of different patients is different, and the rehabilitation training needs are different, which requires the realization of precise rehabilitation. The invention allows patients to perform rehabilitation training in a virtualized game environment, which can not only make patients feel novel and interesting, and feel happy, but also achieve the purpose of rehabilitation training.

Among them, the horizontal rotation category can use racing training games and fishing master training games to complete horizontal rehabilitation training; the vertical swing category can use interstellar sailing training games and big fish eating small fish training games to complete vertical rehabilitation training; The three-dimensional comprehensive category can use doll machine training games and parkour training games to complete rehabilitation training in all directions.

In step 4, the evaluation feedback module evaluates in real time the patient's training of limb rehabilitation training using the rehabilitation game and gives feedback to the patient. After the rehabilitation game ends, the training data is uploaded and an evaluation report is generated. That is, accurate limb rehabilitation training is performed according to the degree of rehabilitation and paralysis of the patient. The angle data during rehabilitation training is collected by the host computer program in real time, and it interacts with the virtual reality game of rehabilitation training to complete the real-time evaluation and real-time motion feedback. The machine program automatically analyzes the training data and automatically generates a training result report.

Specifically, step 4 includes:

In step 41, the host computer program collects angle data of rotation, left-and-right swing, or ankle movement of the patient during rehabilitation training of the limbs using rehabilitation games through an angle sensor, and draws an angle curve trend chart based on the angle data for the rehabilitation physician to perform real-time evaluation. That is, the angle data is transmitted to the virtual reality program to drive the game object on the one hand, and the angle curve trend chart is drawn on the interface of the host computer program according to the change of the angle data and data for real-time evaluation by the rehabilitation physician.

Step 42: The virtual reality program receives the angle data sent by the upper computer program, drives the object movement in the rehabilitation game according to the angle data, and gives feedback according to the training situation of the patient in the rehabilitation game. During the training process, the virtual reality program converts the received angle data into driving data of the game object. For example, when a patient turns to the left on the training platform in a car game, the car will rotate to the left in equal proportions. Enter the game and immerse the patient in virtual reality to complete specific rehabilitation training. In the process of rehabilitation training, provide immediate assessment and feedback. If the patient continuously completes the goal, there will be encouragement to form a positive motivation for the patient; if the patient cannot continuously achieve the goal, give a reminder and incentive to instruct the patient how to change the operation completion Goal, complete the game.

Specifically, step 42 includes:

The virtual reality program receives the angle data sent by the upper computer program, and drives the object movement in the rehabilitation game according to the angle data.

(A). If the patient does not obtain a game target more than a predetermined number of times in the rehabilitation game, a prompt is issued to the patient for strengthening the acquisition of the game target.

(B). If the patient's goal completion in the rehabilitation game meets the preset positive incentive conditions, the patient will be prompted for positive incentives. Among them, the positive incentive conditions include: consecutively obtaining more than a predetermined number of game goals, the current game Score more than the last game score, get the highest score in this game, or the highest score in game history.

The virtual reality program receives the angle data issued by the host computer program, and drives the game object to move left and right or up and down to obtain the target or avoid the target, and obtains a corresponding score according to the completion of the target. Rehabilitation physicians can pre-set the number and placement of game targets according to the requirements of rehabilitation training. For example, a patient reflects a car in a virtual reality program. This is a rehabilitation game. Gold coins are usually placed in the center of the car ’s road, but if needed, To strengthen the rehabilitation training of patients in the left and right directions, you can set all or part of the gold coins as the game target on the left and right sides of the road, or the gold coins on the left, center, and right side staggered; in addition, you can also pass Increase the number or density of game targets, increase the intensity or difficulty of rehabilitation training; use these two methods to achieve the custom process of placing the game targets. Then the patient will experience changes in the angle sensor during the rehabilitation game. The virtual reality program will drive the objects in the rehabilitation game according to the angle data. In the rehabilitation game of eating small fish, the big fish moves up and down to catch the small fish.

In one case, if the patient does not obtain the game target more than a predetermined number of times in the rehabilitation game, a prompt is issued to the patient for obtaining the game target. That is to say, the predetermined number of times is 3, and the game target is the gold coins that need to be hit on the left or right side of the road. For example, if the patient fails to hit the gold coins by driving the car more than 3 times in a rehabilitation game where the car hits the gold coins, it is deemed as No game goal was obtained. At this time, the evaluation and feedback unit can use voice or subtitles to prompt the patient to "please exert force to the left / right direction".

In another case, if the patient's goal completion in the rehabilitation game meets the preset positive incentive conditions, the patient will be prompted for positive incentives, where the positive incentive conditions include: consecutively obtaining the game target for more than a predetermined number of times, The score of the second game exceeds the last game score, the highest score of this game, or the highest score of game history. That is to say, the predetermined number of times is 3, and the game target is gold coins that need to be impacted on the left or right side of the road. Or subtitles to remind patients "You are awesome." If the patient ’s score of driving a car against a gold coin this time exceeds the score of the previous game, the evaluation and feedback unit may use voice or subtitles to prompt “Congratulations, go further!”. If the patient ’s game score during the car ’s impact on the gold coin exceeds the other player characters in the game, the highest score in this game is obtained, or if the patient ’s score during the car ’s impact on the gold coin is the highest score in the game ’s history, the evaluation and feedback unit You can use voice or subtitles to prompt "Congratulations, be the highest score winner in this game!". In this way, the real-time evaluation and feedback of the game can instantly feedback the patient's performance and promptly encourage and motivate the patient.

Step 43: The virtual reality program uploads training data to the host computer program after the rehabilitation game ends. The virtual reality program uploads the training completion status, training completion time, and target completion status of this training to the host computer program; the host computer program uses certain algorithms to obtain the patient training scores and generates an intuitive histogram: last time, This time, the best time score comparison histogram; simultaneously generate the current, the last, the best time's respective total score comparison and the respective completion of the target situation, as well as the specific analysis of the upper limb left and right rotation (or up and down pressure) obstacle analysis and many more.

Specifically, step 44 includes:

Total score = W1 × U1 + W2 × U2 + W3 × U3 + W4 × U4

The preset weights include the weight W1 of the difficulty level U1 of the training mode, the weight W2 of the training completion ratio U2, the weight W3 of the training completion time U3, and the weight W4 of the target completion ratio U4.

U1 is set to 60 in simple mode, 80 in normal mode, and 100 in difficult mode.

The value of U2 is 0 to 100%.

U3 takes less than or equal to the preset total time value as 100, more than 5 minutes as the total time value as 80, and more than 5 minutes as the total time value as 60.

The value of U4 is 0 to 100%.

Because the most difficult part of limb rehabilitation training is upper limb rehabilitation training, this program uses a more objective and reasonable upper limb health training evaluation weight algorithm. Set rehabilitation training assessment indicators include:

Training mode difficulty U1 weight W1

Weight W2 of training completion ratio U2

Weight W3 of training completion time U3

Target completion ratio U4 weight W4

Then use the analytic hierarchy process to compare the indicators of the same level one by one, and use the 1-9 scale method to express the comparison results.

The meaning of the scale of each level is shown in Table 1.

Table 1

The comparison results and weight values determined according to the analytic hierarchy process in the embodiment of the present invention are shown in Table 2.

Table 2

Table 2 is the judgment matrix of the present invention using the analytic hierarchy process, which is viewed in conjunction with the above 1-9 scale. If the ratio of the importance of element i and element j is a _ij , then the ratio of the importance of element j and element i is

For example, the cross of 1/2 in the second row and the third column refers to the comparison of the importance of the factors of the completion ratio of U2 training and the completion time of U3 training; Important; choose which scale to judge based on actual needs, and its correctness can be verified by consistency check.

Specifically, the formula for the calculation unit to obtain the training score by calculating the target data according to the preset weights is as follows:

Total score = 0.0667 * U1 + 0.1086 * U2 + 0.1778 * U3 + 0.6469 * U4

Among them, U1 has a value of 60 in simple mode, 80 in normal mode, and 100 in difficult mode.

The value of U2 is 0 to 100%.

The value of U4 is 0 to 100%.

Through the above calculation, the score of this rehabilitation training can be obtained.

In step 5, a storage synchronization module is used to store the training data to the local database and the cloud database after the rehabilitation training is completed; when it is determined that the data of the local database changes, the cloud database is updated synchronously according to the changes, so that the cloud database and the local database are maintained Consistent.

That is, the storage synchronization module can detect whether the data in the local database has changed in real time or at a predetermined time interval. When a change occurs, the cloud database is updated synchronously according to the change, so that the data in the cloud database is consistent with the local database. For example, if the storage synchronization module detects an increase in the data in the local database, you can synchronize the increased data to the cloud database; or if the storage synchronization module detects the data in the local database is deleted, the cloud database will delete the data according to the deleted part. Cut out the corresponding part in the cloud. Regardless of whether it is added or deleted, the purpose of the synchronous update is to achieve the consistency of the data in the cloud database and the local database; it can not only complete the work of data backup, but also ensure the Internet access of the data and increase the openness of the data.

In step 6, the query module receives a query request for historical evaluation reports or training results, and feeds back corresponding evaluation reports or training results according to the query request.

In one case, the rehabilitation physician needs to view the rehabilitation training related data of a patient, and then selects the corresponding report in the list of evaluation reports by clicking, sliding, and voice input on the display interface of the upper computer program, and queries According to the operation of the host computer program, the module is regarded as receiving the query request of the historical evaluation report, and then the corresponding evaluation report is obtained by fetching the data from the local database and fed back to the host computer program, and the host computer program displays the corresponding information in the display interface. Evaluation report.

In one case, if the patient needs to check his training results, he can enter his WeChat contact information in the personalized information through the account module in advance, complete the binding of the WeChat account and the rehabilitation training account, and then send the training by himself using the mobile phone WeChat The performance query request, the query module retrieves the training results of the patient for a specified number of trainings or all historical training results of the patient from the cloud database, and feeds back the retrieved results to the patient, so that the patient can view his own on the mobile phone Training results.

In the description of the embodiments of the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front" "," Back "," left "," right "," vertical "," horizontal "," top "," bottom "," inside "," outside "," clockwise "," counterclockwise "and other instructions The orientation or positional relationship is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the embodiments of the present invention and simplified description, and does not indicate or imply that the device or element referred to must have a specific orientation, The azimuth structure and operation cannot be understood as limiting the embodiments of the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of the present invention, the meaning of "a plurality" is two or more, unless it is specifically and specifically defined otherwise.

In the description of the embodiments of the present invention, it should be noted that the terms "installation", "connected", and "connected" should be understood in a broad sense unless explicitly stated and limited otherwise. Removable connection or integral connection; can be mechanical connection, electrical connection or can communicate with each other; can be directly connected, or indirectly connected through an intermediate medium, can be the internal connection of two components or two components Interaction. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present invention can be understood according to specific situations.

In the embodiments of the present invention, unless explicitly stated and defined otherwise, the "on" or "under" of the second feature may include direct contact between the first and second features, or may include the first and second features. The second feature is not a direct contact but a contact through another feature between them. Moreover, the first feature is "above", "above", and "above" the second feature, including that the first feature is directly above and obliquely above the second feature, or merely indicates that the first feature is higher in level than the second feature. The first feature is “below”, “below”, and “below” of the second feature, including the fact that the first feature is directly below and obliquely below the second feature, or merely indicates that the first feature is less horizontal than the second feature.

The following disclosure provides many different embodiments or examples for implementing different structures of the embodiments of the present invention. To simplify the disclosure of the embodiments of the present invention, the components and settings of specific examples are described below. Of course, they are merely examples and are not intended to limit the invention. In addition, embodiments of the present invention may repeat reference numerals and / or reference letters in different examples. Such repetition is for the purpose of simplicity and clarity, and does not itself indicate the relationship between the various embodiments and / or settings discussed. . In addition, the embodiments of the present invention provide examples of various specific processes and materials, but those of ordinary skill in the art may be aware of the application of other processes and / or the use of other materials.

In the description of the present specification, descriptions with reference to the terms “one embodiment”, “some embodiments”, “exemplary embodiments”, “examples”, “specific examples” or “some examples”, etc., mean to combine the implementations with the described The specific features, structures, materials, or characteristics described in the manners or examples are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same implementation or example. Moreover, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more implementations or examples.

Any process or method description in a flowchart or otherwise described herein can be understood as a module, fragment, or portion of code that includes one or more executable instructions for implementing a particular logical function or step of a process And, the scope of the preferred embodiments of the present invention includes additional implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order according to the functions involved, which should It is understood by those skilled in the art to which the embodiments of the present invention pertain.

Logic and / or steps represented in a flowchart or otherwise described herein, for example, a sequenced list of executable instructions that may be considered to implement a logical function, may be embodied in any computer-readable medium, For use by instruction execution systems, devices, or devices (such as computer-based systems, systems that include processing modules, or other systems that can take instructions from and execute instructions) Or equipment. For the purposes of this specification, a "computer-readable medium" may be any device that can contain, store, communicate, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of computer-readable media include the following: electrical connections (electronic devices) with one or more wirings, portable computer disk cartridges (magnetic devices), random access memory (RAM), Read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program can be printed, because, for example, by optically scanning the paper or other medium, followed by editing, interpretation, or other suitable Processing to obtain the program electronically and then store it in computer memory.

It should be understood that each part of the embodiments of the present invention may be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods may be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it may be implemented using any one or a combination of the following techniques known in the art: Discrete logic circuits, application-specific integrated circuits with suitable combinational logic gate circuits, programmable gate arrays (PGA), field programmable gate arrays (FPGA), etc.

A person of ordinary skill in the art can understand that all or part of the steps carried by the methods in the foregoing embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium. The program is When executed, one or a combination of the steps of the method embodiment is included.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing module, or each unit may exist separately physically, or two or more units may be integrated into one module. The above integrated modules may be implemented in the form of hardware or software functional modules. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

The aforementioned storage medium may be a read-only memory, a magnetic disk, or an optical disk.

Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limitations on the present invention. Those skilled in the art can interpret the above within the scope of the present invention. Embodiments are subject to change, modification, substitution, and modification.

Claims

A method for limb rehabilitation training based on virtual reality, which comprises:

Step 1. Create a patient's account and enter the patient's personalized information in the account;

Step 2. Set the motion angle evaluation mode;

Step 3: Initialize a rehabilitation game based on virtual reality, and select a rehabilitation training category, a rehabilitation training mode, a rehabilitation training time, and a rehabilitation training scene difficulty level category. Among them, there are at least two kinds of rehabilitation training categories. The training mode includes at least two modes; the rehabilitation training scene in each rehabilitation training mode includes at least two types of rehabilitation training difficulty levels;

Step 4. Real-time assessment of the training situation of the limb rehabilitation training by the patient using the rehabilitation game and giving feedback to the patient, upload the training data and generate an evaluation report after the rehabilitation game;

Step 5. After the rehabilitation training is completed, the training data is stored in the local database and the cloud database; when it is determined that the data of the local database changes, the cloud database is updated synchronously according to the changes, so that the cloud database and the local database remain consistent;

Step 6. Receive a query request for historical evaluation reports or training results, and feed back corresponding evaluation reports or training results according to the query request.
The limb rehabilitation training method based on virtual reality according to claim 1, wherein step 3 comprises:

Initialize a rehabilitation game based on virtual reality, and select a rehabilitation training category, rehabilitation training mode, rehabilitation training time, and rehabilitation training scene difficulty category according to the patient's situation;

Among them, the rehabilitation training categories include horizontal rotation category, vertical swing category and stereo comprehensive category;

Rehabilitation training modes include one-handed training mode and two-handed training mode;

The difficulty level categories of rehabilitation training scenes include first degree, second degree, and third degree.
The limb rehabilitation training method based on virtual reality according to claim 2, wherein step 4 comprises:

Step 41: The host computer program collects the angle data of the patient rotating in the left-right direction, the up-down direction, or the movement of the ankle when using the rehabilitation game to perform limb rehabilitation training through the angle sensor, and draws an angle curve trend chart based on the angle data for the rehabilitation physician to perform real-time evaluation;

Step 42: The virtual reality program receives the angle data sent by the upper computer program, drives the object movement in the rehabilitation game according to the angle data, and gives feedback according to the training situation of the patient in the rehabilitation game;

Step 43: The virtual reality program uploads training data to the host computer program after the rehabilitation game ends;

Step 44: The host computer program generates an evaluation report according to the training data.
The limb rehabilitation training method based on virtual reality according to claim 1, wherein step 42 comprises:

The virtual reality program receives the angle data sent by the upper computer program, and drives the object movement in the rehabilitation game according to the angle data;

The feedback according to the training situation of the patient in the rehabilitation game is as follows:

If the patient does not obtain the game target more than a predetermined number of times in the rehabilitation game, a prompt is issued to the patient to strengthen the acquisition of the game target;

and / or

If the patient's goal completion in the rehabilitation game meets the preset positive incentive conditions, the patient will be prompted for positive incentives. Among them, the positive incentive conditions include: consecutively obtaining more than a predetermined number of game goals, and the score of this game exceeds the last time Score the game, get the highest score for this game, or get the highest score in game history.
The limb rehabilitation training method based on virtual reality according to claim 4, wherein step 44 comprises:

The host computer program calculates training data based on preset weights to obtain training scores. The calculation formula is as follows:

Total score = W1 × U1 + W2 × U2 + W3 × U3 + W4 × U4

The preset weights include the weight W1 of the training mode difficulty degree U1, the weight W2 of the training completion ratio U2, the weight W3 of the training completion time U3, and the weight W4 of the target completion ratio U4;

U1 is set to 60 in simple mode, 80 in normal mode, and 100 in difficult mode.

The value of U2 is 0 to 100%;

U3 is less than or equal to the preset total time value of 100, more than 5 minutes of the total time value of 80, and more than 5 minutes of the total time value of 60;

The value of U4 is 0 to 100%;

The upper computer program then graphically processes the training scores and other training data to generate an evaluation report for rehabilitation training analysis. The report includes a comparison histogram of the last training score, the current training score, and the best training score, and The pie charts of the last training, this training and the best training.
A limb rehabilitation training system based on virtual reality is characterized in that it includes:

Account module, used to create a patient's account and enter patient personalized information in the account;

A setting module for setting a motion angle evaluation mode;

An initialization module is used to initialize a rehabilitation game based on virtual reality, and select a rehabilitation training category, a rehabilitation training mode, a rehabilitation training time, and a rehabilitation training scene difficulty level category. Among them, there are at least two kinds of rehabilitation training categories. Rehabilitation training mode includes at least two modes; the rehabilitation training scene in each rehabilitation training mode includes at least two training difficulty categories;

Evaluation feedback module, used for real-time evaluation of the training situation of patients using limbs rehabilitation training using rehabilitation games and giving feedback to patients, uploading training data and generating evaluation reports after the rehabilitation games;

The storage synchronization module is used to store the training data to the local database and the cloud database after the rehabilitation training is completed; when it is determined that the data of the local database changes, the cloud database is updated synchronously according to the changes, so that the cloud database and the local database are consistent;

The query module is used to receive a query request for historical evaluation reports or training results, and feedback the corresponding evaluation report or training results according to the query request.
The limb rehabilitation training system based on virtual reality according to claim 6, wherein the initialization module is specifically configured to initialize a rehabilitation game based on virtual reality, and select a rehabilitation training category, a rehabilitation training mode, a rehabilitation training time, and a rehabilitation training according to the situation of the patient. Scene difficulty level category;

Among them, the rehabilitation training categories include horizontal rotation category, vertical swing category and stereo comprehensive category;

Rehabilitation training modes include one-handed training mode and two-handed training mode;

The difficulty level categories of rehabilitation training scenes include first degree, second degree, and third degree.
The limb rehabilitation training system based on virtual reality according to claim 7, wherein the evaluation feedback module comprises a host computer program and a virtual reality program, wherein:

The upper computer program is used to collect angle data of rotation, left-and-right swing, or ankle movement of patients during rehabilitation training of limbs using rehabilitation games through angle sensors, and draw an angle curve trend chart based on the angle data for rehabilitation doctors to perform real-time evaluation;

The virtual reality program is used to receive the angle data sent by the host computer program, and drive the object movement in the rehabilitation game based on the angle data, and give feedback according to the training situation of the patient in the rehabilitation game;

The virtual reality program is also used to upload training data to the host computer program after the rehabilitation game is over;

The host computer program is also used to generate an evaluation report based on the training data.
The limbs rehabilitation training system based on virtual reality according to claim 6, wherein the virtual reality program is specifically configured to receive angle data sent by a host computer program, and drive the object movement in the rehabilitation game according to the angle data;

The virtual reality program gives feedback based on the patient's training in the rehabilitation game as follows:

If the patient does not obtain the game target more than a predetermined number of times in the rehabilitation game, a prompt is issued to the patient to strengthen the acquisition of the game target;

and / or

If the patient's goal completion in the rehabilitation game meets the preset positive incentive conditions, the patient will be prompted for positive incentives. Among them, the positive incentive conditions include: consecutively obtaining more than a predetermined number of game goals, and the score of this game exceeds the last time Score the game, get the highest score for this game, or get the highest score in game history.
The limb rehabilitation training system based on virtual reality according to claim 9, wherein the upper computer program is specifically configured to calculate training data according to a preset weight to obtain a training score, and the calculation formula is as follows:

Total score = W1 × U1 + W2 × U2 + W3 × U3 + W4 × U4

The preset weights include the weight W1 of the difficulty level U1 of the training mode, the weight W2 of the training completion ratio U2, the weight W3 of the training completion time U3, and the weight W4 of the target completion ratio U4;

U1 is set to 60 in simple mode, 80 in normal mode, and 100 in difficult mode.

The value of U2 is 0 to 100%;

U3 is less than or equal to the preset total time value of 100, more than 5 minutes of the total time value of 80, and more than 5 minutes of the total time value of 60;

The value of U4 is 0 to 100%;

The upper computer program then graphically processes the training scores and other training data to generate an evaluation report for rehabilitation training analysis. The report includes a comparison histogram of the last training score, the current training score, and the best training score, and The pie charts of the last training, this training and the best training.