CN115619987A - Medical integrated teaching information transmission system and method based on virtual reality interaction - Google Patents

Medical integrated teaching information transmission system and method based on virtual reality interaction Download PDF

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CN115619987A
CN115619987A CN202211264528.0A CN202211264528A CN115619987A CN 115619987 A CN115619987 A CN 115619987A CN 202211264528 A CN202211264528 A CN 202211264528A CN 115619987 A CN115619987 A CN 115619987A
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尉建锋
叶建统
曾纪良
郦丽莉
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Abstract

The invention discloses a medical integrated teaching information transmission system and method based on virtual reality interaction, belonging to the field of medical teaching, wherein the medical teaching information transmission system comprises: the system comprises a data acquisition module, a database, a data analysis module and a terminal display unit, wherein the data acquisition module is used for acquiring user information, real-time learning information and medical information, the database is used for carrying out encryption transmission on the acquired data information and storing the acquired information and the analyzed result, the data analysis module is used for analyzing the acquired data information, and the terminal display module is used for displaying the analyzed result and alarming and reminding when abnormal conditions occur. The invention interacts the virtual and the real, combines the medical theory knowledge and the practice operation, carries out the medical integrated teaching, evaluates the learning ability of the learning user, and carries out the data encryption in the whole process, thereby improving the learning efficiency of the user.

Description

Medical integrated teaching information transmission system and method based on virtual reality interaction
Technical Field
The invention relates to the field of medical teaching, in particular to a medical integrated teaching information transmission system and method based on virtual reality interaction.
Background
The AR technology is augmented reality, is a new technology for seamlessly integrating real world information and virtual world information, and is a technology for applying virtual information to the real world and sensing the virtual information by human senses by superposing entity information (visual information, sound, taste, touch and the like) which is difficult to experience in a certain time-space range of the real world after simulation through scientific technologies such as computers and the like so as to achieve sensory experience beyond reality. The real environment and the virtual object are superimposed on the same picture or space in real time and exist simultaneously. The AR travels between the virtual reality and the reality, and the reality and the virtual are combined by using a special processing mode or a special prop, so that the AR is perfect, harmonious and uniform, and the application universality of the AR is finally proved. The augmented reality technology comprises new technologies and new means such as multimedia, three-dimensional modeling, real-time video display and control, multi-sensor fusion, real-time tracking and registration, scene fusion and the like. Augmented reality provides information that is generally different from what human beings can perceive.
The integrated teaching system is to arrange and merge teaching links, consider teaching combining theories and practices for cultivating the occupational abilities of students as a whole, independently make a teaching plan and a synopsis, construct an integral occupational ability cultivation target system, and ensure the realization of the integral target through the implementation of each teaching link. The integrated teaching is a method of professional education, aims to improve the comprehensive quality of educated persons, adopts a method of combining theoretical teaching with practice to ensure that educated persons can digest and absorb learned theoretical knowledge in time, and is a teaching method with instant effect.
For medical treatment, in the process of medical teaching, the theory knowledge is not enough, a large amount of practice is needed to verify the theory knowledge, but medical resources are limited, a reservation laboratory needs to consume a large amount of time, the medical resources are in short supply under epidemic situations, related medical information is updated quickly, medical technology is continuously developed, and the theory knowledge on books is difficult to obtain.
Therefore, it is necessary to interact the virtual and the real, combine the medical theory knowledge and the practice operation, perform the integrated teaching, evaluate the learning ability of the learning user, and encrypt the data in the whole process. Therefore, a medical integrated teaching information transmission system and method based on virtual reality interaction is needed.
Disclosure of Invention
The invention aims to provide a medical integrated teaching information transmission system and method based on virtual reality interaction, which are used for medical teaching through an AR technology and a data glove, simultaneously acquiring user information, real-time learning information, medical information and the like, encrypting the data information through an elliptic curve digital signature algorithm, evaluating the learning condition and the learning capacity of a learning user through virtual examination paper examination and a PERT algorithm, and alarming and reminding when abnormal conditions occur so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: medical treatment integration teaching information transmission system based on virtual reality is mutual, and this medical treatment teaching information transmission system includes: the system comprises a data acquisition module, a database, a data analysis module and a terminal display unit;
the data acquisition module is connected with a database, the database is connected with a data analysis module, and the data analysis module is connected with a terminal display unit; the data acquisition module is used for acquiring user information, real-time learning information and medical information, the database is used for encrypting and transmitting the acquired data information and storing the acquired information and the analysis result, the data analysis module is used for analyzing the acquired data information, and the terminal display module is used for displaying the analysis result and alarming and reminding when abnormal conditions occur.
Furthermore, the data acquisition module comprises a learning end acquisition unit and a teaching end acquisition unit, wherein the learning end acquisition unit is used for acquiring personal basic information of a user learning medical courses, such as user name, identity card number, course number and the like, performing medical integrated teaching through AR, explaining medical theoretical knowledge, performing practical teaching through a data glove, acquiring hand posture information of the user, transmitting the hand posture information to a virtual environment in real time, feeding contact information with a virtual object back to an operator, and realizing virtual medical practice of the user, so that a virtual and reality interactive medical teaching mode is realized, the operator interacts with a virtual world in a more direct, natural and effective mode, interactivity and immersion are greatly enhanced, the user can practice while performing theoretical learning, the user can understand knowledge points deeply, actual medical resources are saved, and meanwhile, course learning content information of the user, problems in the course learning process and learning time information are acquired, and the user can learn and review knowledge for many times; the teaching end acquisition unit is used for acquiring basic information of a teacher, latest medical technical information, latest medical case information and answer information of the teacher to the provided questions, and meanwhile proposes suggestions to the learning user according to an analysis result, so that the learning user can know the latest medical technical results and medical cases conveniently, the problem that the learning theoretical knowledge is not updated timely is prevented, the teacher can answer the questions timely and propose the suggestions to the learning of the learning user, the understanding of the learning user to the medical knowledge is facilitated, the learning efficiency is improved, and therefore medical courses can be better learned.
Further, the database comprises a data encryption unit and a data storage unit, the data encryption unit encrypts the acquired information, the course information and the analysis result by adopting an elliptic curve digital signature algorithm, and encrypts the acquired information, the course information and the analysis result by using a public key, a learning user carries out signature decryption on a learning end by using different private keys, and the public key is used for verifying whether the signature is legal or not; the data storage unit is used for storing the acquired data information and the analysis result.
Furthermore, the data analysis module comprises an assessment scoring unit and a learning time assessment unit, wherein the assessment scoring unit assesses and scores the learning of the learning user on theory and practice to assess the learning condition of the learning user on the medical course; the learning time evaluation unit analyzes the time used by the user for learning the courses through a PERT network analysis method, and is convenient for evaluating and controlling the learning ability of the user.
Furthermore, the terminal display module comprises a virtual screen display unit and an alarm reminding unit, the virtual screen display unit is used for displaying an analysis result and learning time at the learning end through an AR virtual screen, the analysis result is displayed at the teaching end through display equipment, a teacher can conveniently control the ability and progress of a learning user, and when abnormal conditions occur, alarm reminding is carried out, for example, the learning time exceeds a threshold value, and the learning user is reminded to have a rest and the like.
The medical integrated teaching information transmission method based on virtual reality interaction comprises the following steps:
s1, collecting user information, real-time learning information and medical information;
s2, carrying out encryption transmission on the acquired information through an elliptic curve digital signature algorithm, and storing the acquired information;
s3, evaluating the theory and practice of the user through assessment, analyzing the learning time of the user through a PERT algorithm, and storing the analysis result;
and S4, displaying the data analysis result through screen display, and alarming and reminding when abnormal conditions occur.
Further, in step S2, the acquired information is encrypted and transmitted by using an elliptic and hyperbolic digital signature algorithm, and encrypted by using a public key, each user acquires different private keys through registering different medical courses at the learning end, so as to decrypt the signature, and then verifies whether the signature is legal by using the public key, and determines whether the user who enters the teaching system is correct and then enters the system; at a teaching end, a teacher decrypts through an applied private key, a public key verifies information, and the teacher information is confirmed to be consistent with teacher information input by a system and then enters the system, an elliptic curve digital signature algorithm is simulation of the digital signature algorithm by using an elliptic curve password, the elliptic curve password is an algorithm for establishing public key encryption based on elliptic curve mathematics, a digital signature is a section of digital string which can not be forged by others only by a sender of the information, and the section of digital string is also an effective proof of the authenticity of the information sent by the sender of the information, so that the method is used for identifying the digital information. The elliptic curve digital signature algorithm has the following advantages:
(1) Under the condition of a known public key, a private key corresponding to the public key cannot be deduced;
(2) It can be proven by some method that someone possesses a private key corresponding to a public key, without this process exposing any information about the private key.
Therefore, the privacy and the safety of data can be effectively guaranteed, and the information leakage is prevented.
Further, in step S3, the theoretical and practical learning abilities of the user are evaluated through virtual examination paper assessment, and the comprehensive ability score Z is:
Figure BDA0003892485100000041
wherein x is a theoretical knowledge assessment score, y is a practice operation assessment score, alpha is a theoretical knowledge part weight, beta is a practice operation part weight, and S is a total score; setting the threshold value to Z Threshold(s) When Z is<Z Threshold(s) Judging that the learning ability of the user is weak, and alarming and reminding;
and evaluating the learning time and the learning ability of the learning user through a PERT algorithm. PERT is a plan review technique, which uses network analysis to create a plan and to evaluate the plan. The quality of the results obtained by the PERT network analysis method greatly depends on the prediction of the activity events in advance, and if the sequence and the completion time of each activity can be accurately predicted, the project completion time can be greatly shortened by the PERT network analysis method.
In the time interval (m, n),
Figure BDA0003892485100000042
where a is the shortest duration of user learning, also referred to as optimistic estimate time, b is the longest duration of user learning, also referred to as pessimistic estimate time, t is the most likely time to estimate user learning, and f is the most likely to be strenuous for user learning.
The expected time T formula of the user learning time is:
Figure BDA0003892485100000043
variance σ of user learning time 2 The formula is as follows:
Figure BDA0003892485100000044
by comparing the learning time of the estimation user with the actual time, when the actual time is longer than the estimation time, the system sends the analysis result to the learning user and a teacher, and the learning ability of the user is estimated.
Further, in step S4, at the learning end, by means of AR technology, theoretical courses and practice courses learned by a user are displayed in a virtual screen, action data of actual operation of the user are collected through a data glove, when errors occur in the practice operation, the error parts are displayed and demonstrated again, the user can carefully watch the practice steps and operate, the operation ability of the user is enhanced, the theory and the practice are better combined, by monitoring learning time, a threshold value is set, and when the threshold value is exceeded, alarm reminding is carried out; meanwhile, the data analysis result is displayed through the virtual screen, so that the learning user can conveniently control the self learning condition, and when the assessment score is lower than a threshold value or the actual learning time is more than the estimation time, the alarm reminding is carried out; and displaying the data analysis result at the teaching end, and evaluating the ability of the learning user by the teacher according to the result and proposing a suggestion.
Compared with the prior art, the invention has the following beneficial effects:
the invention carries out medical teaching through AR technology and data gloves, realizes virtual and display interaction, saves a large amount of medical resources, and enables users to better combine theoretical knowledge with practical operation, thereby better absorbing and digesting the knowledge. Meanwhile, user information, real-time learning information, medical information and the like are collected, so that a user can know the latest medical technical means and the development condition of the medical industry in time. The data information is encrypted by an elliptic curve digital signature algorithm, so that the data information of a user is prevented from being leaked, and the privacy and the safety of the data are ensured. The study condition and the study ability of the study user are evaluated through a virtual examination paper examination and a PERT algorithm, the analysis result is displayed for the study user through a virtual screen, the user can evaluate and repair the current study ability and the study condition of the user, the analysis result is sent to a corresponding teacher, and the teacher knows the study condition of the user, so that the suggestion is provided, the problem proposed by the user is replied, the question answering and the confusion are timely and effectively carried out, and the medical integrated teaching is realized. When abnormal conditions occur, for example, the learning time of the user is too long, the alarm reminding is carried out, so that the user can have a rest in time.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the module composition of the medical integrated teaching information transmission system based on virtual reality interaction;
FIG. 2 is a flow chart of the medical integrated teaching information transmission method based on virtual reality interaction according to the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the present invention provides a technical solution: medical treatment integration teaching information transmission system based on virtual reality is mutual, and this medical treatment teaching information transmission system includes: the system comprises a data acquisition module, a database, a data analysis module and a terminal display unit;
the data acquisition module is connected with a database, the database is connected with a data analysis module, and the data analysis module is connected with a terminal display unit; the data acquisition module is used for acquiring user information, real-time learning information and medical information, the database is used for carrying out encryption transmission on the acquired data information and storing the acquired information and analysis results, the data analysis module is used for analyzing the acquired data information, and the terminal display module is used for displaying the analysis results and alarming and reminding when abnormal conditions occur.
Furthermore, the data acquisition module comprises a learning end acquisition unit and a teaching end acquisition unit, wherein the learning end acquisition unit is used for acquiring personal basic information of a user learning medical courses, such as user name, identity card number, course number and the like, medical integrated teaching is carried out through AR, medical theoretical knowledge is explained, practice teaching is carried out through data gloves, hand posture information of the user is acquired and transmitted to a virtual environment in real time, contact information with a virtual object is fed back to an operator, and virtual medical practice is carried out by the user, so that a virtual and real interactive medical integrated interactive teaching mode is realized, the operator interacts with a virtual world in a more direct, natural and effective mode, interactivity and immersion are greatly enhanced, the user can practice while carrying out theoretical learning, the user can understand knowledge points deeply, actual medical resources are saved, and course learning content information, problems and learning time information in the course learning process are acquired at the same time, and the user can study and review the knowledge points for many times; the teaching end acquisition unit is used for acquiring basic information of a teacher, latest medical technical information, latest medical case information and answer information of the teacher to the provided questions, and meanwhile proposes suggestions to the learning user according to an analysis result, so that the learning user can know the latest medical technical results and medical cases conveniently, the problem that the learning theoretical knowledge is not updated timely is prevented, the teacher can answer the questions timely and propose the suggestions to the learning of the learning user, the understanding of the learning user to the medical knowledge is facilitated, the learning efficiency is improved, and therefore medical courses can be better learned.
Further, the database comprises a data encryption unit and a data storage unit, the data encryption unit encrypts the acquired information, the course information and the analysis result by adopting an elliptic curve digital signature algorithm, and encrypts the acquired information, the course information and the analysis result by using a public key, a learning user carries out signature decryption on a learning end by using different private keys, and the public key is used for verifying whether the signature is legal or not; the data storage unit is used for storing the acquired data information and the analysis result.
Furthermore, the data analysis module comprises an assessment scoring unit and a learning time assessment unit, wherein the assessment scoring unit assesses and scores the learning of the learning user on theory and practice to assess the learning condition of the learning user on the medical course; the learning time evaluation unit analyzes the time used by the user for learning the courses through a PERT network analysis method, and is convenient for evaluating and controlling the learning ability of the user.
Further, the terminal display module includes virtual screen display element and warning and reminds the unit, virtual screen display element is used for showing analysis result and study time at the end of studying through the virtual screen of AR, shows analysis result at the end of teaching through display device, and the teacher of being convenient for can carry out the control to study user's ability and progress, and when the abnormal conditions appeared, the warning was reminded, for example study time exceeded the threshold value, reminded study user to have a rest etc..
The medical integrated teaching information transmission method based on virtual reality interaction comprises the following steps:
s1, collecting user information, real-time learning information and medical information;
s2, carrying out encryption transmission on the acquired information through an elliptic curve digital signature algorithm, and storing the acquired information;
s3, evaluating the theory and practice of the user through assessment, analyzing the learning time of the user through a PERT algorithm, and storing the analysis result;
and S4, displaying the data analysis result through screen display, and alarming and reminding when abnormal conditions occur.
Further, in step S2, the acquired information is encrypted and transmitted by using an elliptic and hyperbolic digital signature algorithm, and encrypted by using a public key, each user acquires different private keys through registering different medical courses at the learning end, so as to decrypt the signature, and then verifies whether the signature is legal by using the public key, and determines whether the user who enters the teaching system is correct and then enters the system; at a teaching end, a teacher decrypts through an applied private key, a public key verifies information, and the teacher information is confirmed to be consistent with teacher information input by the system and then enters the system, an elliptic curve digital signature algorithm is a simulation of the digital signature algorithm by using an elliptic curve password, the elliptic curve password is an algorithm for establishing public key encryption based on elliptic curve mathematics, the digital signature is a section of digital string which can not be forged by others and can only be generated by a sender of the information, and the section of digital string is also an effective proof of the authenticity of the information sent by the sender of the information, and is a method for identifying the digital information. The elliptic curve digital signature algorithm has the following advantages:
(3) Under the condition of a known public key, a private key corresponding to the public key cannot be deduced;
(4) It can be proven by some method that someone possesses a private key corresponding to a public key, without this process exposing any information about the private key.
Therefore, the privacy and the safety of the data can be effectively ensured, and the information leakage is prevented.
Further, in step S3, the theoretical and practical learning abilities of the user are evaluated through the virtual examination paper assessment, and the comprehensive ability score Z is:
Figure BDA0003892485100000071
wherein x is a theoretical knowledge assessment score, y is a practice operation assessment score, alpha is a theoretical knowledge part weight, beta is a practice operation part weight, and S is a total score; setting the threshold value to Z Threshold(s) When Z is<Z Threshold(s) Judging that the learning ability of the user is weak, and alarming and reminding;
and evaluating the learning time and the learning ability of the learning user through a PERT algorithm. And evaluating the learning time and the learning ability of the learning user through a PERT algorithm. PERT is a plan review technique, which uses network analysis to create a plan and to evaluate the plan. The quality of the results obtained by the PERT network analysis method greatly depends on the prediction of the activity events in advance, and if the sequence and the completion time of each activity can be accurately predicted, the project completion time can be greatly shortened by the PERT network analysis method.
In the time interval (m, n),
Figure BDA0003892485100000081
where a is the shortest duration of user learning, also referred to as optimistic estimate time, b is the longest duration of user learning, also referred to as pessimistic estimate time, t is the most likely time to estimate user learning, and f is the most likely to be strenuous for user learning.
The expected time T formula of the user learning time is:
Figure BDA0003892485100000082
variance σ of user learning time 2 The formula is as follows:
Figure BDA0003892485100000083
by comparing the learning time of the estimation user with the actual time, when the actual time is longer than the estimation time, the system sends the analysis result to the learning user and a teacher, and the learning ability of the user is estimated.
Furthermore, in step S4, at the learning end, the theoretical courses and the practice courses learned by the user are displayed in the virtual screen through the AR technology, the action data of the actual operation of the user is collected through the data gloves, when the practice operation has errors, the error parts are displayed and demonstrated again, the user can carefully watch the practice steps and operate, the operation ability of the user is enhanced, the theory and the practice are better combined, the learning time is monitored, the threshold value is set, and when the threshold value is exceeded, the alarm reminding is carried out; meanwhile, the data analysis result is displayed through the virtual screen, so that the learning user can conveniently control the self learning condition, and when the assessment score is lower than a threshold value or the actual learning time is more than the estimation time, the alarm reminding is carried out; and displaying the data analysis result at the teaching end, and evaluating the ability of the learning user by the teacher according to the result and proposing a suggestion.
The first embodiment is as follows:
in the virtual test paper assessment, the total scores of theoretical knowledge and practical operation are both 100 scores, the weight is 0.5, in the virtual test paper assessment process of a certain user, the theoretical knowledge score is 70 scores, the practical operation score is 55 scores, and at the moment, the comprehensive capacity score Z is as follows:
Figure BDA0003892485100000091
if the threshold value Z Threshold value =60%, when Z is present<Z Threshold value And judging that the learning ability of the user is weak, respectively sending the assessment result and the analysis result to the user and a teacher, and correcting the learning condition of the user.
The second embodiment is as follows:
in the time interval (m, n),
Figure BDA0003892485100000092
where a is the shortest duration of user learning, also called optimistic estimated time, b is the longest duration of user learning, also called pessimistic estimated time, t is the most likely time to estimate user learning, and f is the most likely likelihood of user learning being strenuous.
The PERT algorithm has non-negative solutions, and the non-negative solutions are unique.
Order to
Figure BDA0003892485100000093
It is clear that 0. Ltoreq. P.ltoreq.1, which can be derived from the equation
Figure BDA0003892485100000094
Then
(1-p)a 2 +(2p-1)a-pf 2 =0;
At this time, the discriminant Δ = (2 p-1) of the equation 2 +4(1-p)pf 2 ≥(2p-1) 2 ≧ 0, there is a solution to the system of equations, and there is a unique non-negative solution.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described above, or equivalents may be substituted for elements thereof. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (9)

1. Medical treatment integration teaching information transmission system based on virtual reality is mutual, its characterized in that: this medical teaching information transmission system includes: the system comprises a data acquisition module, a database, a data analysis module and a terminal display unit;
the data acquisition module is connected with a database, the database is connected with a data analysis module, and the data analysis module is connected with a terminal display unit; the data acquisition module is used for acquiring user information, real-time learning information and medical information, the database is used for carrying out encryption transmission on the acquired data information and storing the acquired information and analysis results, the data analysis module is used for analyzing the acquired data information, and the terminal display module is used for displaying the analysis results and alarming and reminding when abnormal conditions occur.
2. The medical integrated teaching information transmission system based on virtual reality interaction according to claim 1, characterized in that: the data acquisition module comprises a learning end acquisition unit and a teaching end acquisition unit, the learning end acquisition unit is used for acquiring personal basic information of a user learning medical courses, performing medical integrated teaching through AR, performing practical teaching through data gloves, acquiring hand posture information of the user, transmitting the hand posture information to a virtual environment in real time, feeding contact information of the user and a virtual object back to an operator, and acquiring course learning content information of the user, problems in the course learning process and learning time information at the same time, so that the user can conveniently learn courses for multiple times and review knowledge points; the teaching terminal acquisition unit is used for acquiring basic information of a teacher, latest medical technical information, latest medical case information and answer information of the teacher to the provided questions, and meanwhile, suggestions are provided for learning users according to analysis results, and the teacher can answer the questions timely and provide suggestions for learning of the learning users.
3. The medical integrated teaching information transmission system based on virtual reality interaction according to claim 2, characterized in that: the database comprises a data encryption unit and a data storage unit, wherein the data encryption unit encrypts acquired information, course information and analysis results by adopting an elliptic curve digital signature algorithm, and encrypts the acquired information, the course information and the analysis results by using a public key, and a learning user carries out signature decryption on a learning end by using different private keys and verifies whether the signature is legal or not by using the public key; the data storage unit is used for storing the acquired data information and the analysis result.
4. The medical integrated teaching information transmission system based on virtual reality interaction according to claim 3, characterized in that: the data analysis module comprises an assessment scoring unit and a learning time evaluation unit, wherein the assessment scoring unit assesses and scores the learning of the learning user on theory and practice and evaluates the learning condition of the learning user on the medical course; the learning time evaluation unit analyzes the time taken by the user to learn the course through a PERT network analysis method.
5. The medical integrated teaching information transmission system based on virtual reality interaction according to claim 4, characterized in that: the terminal display module comprises a virtual screen display unit and an alarm reminding unit, wherein the virtual screen display unit is used for displaying analysis results and learning time at a learning end through an AR virtual screen, displaying the analysis results at a teaching end through display equipment, and alarming and reminding when abnormal conditions occur.
6. A medical integrated teaching information transmission method based on virtual reality interaction is characterized in that: the method comprises the following steps:
s1, collecting user information, real-time learning information and medical information;
s2, encrypting and transmitting the acquired information through an elliptic curve digital signature algorithm, and storing the encrypted and transmitted information;
s3, evaluating the theory and practice of the user through assessment, analyzing the learning time of the user through a PERT algorithm, and storing the analysis result;
and S4, displaying the data analysis result through screen display, and alarming and reminding when abnormal conditions occur.
7. The medical integrated teaching information transmission method based on virtual reality interaction according to claim 6, characterized in that: in the step S2, the acquired information is encrypted and transmitted by adopting an elliptic hyperbolic digital signature algorithm, the encryption is carried out by using a public key, each user acquires different private keys through registering different medical courses at a learning end so as to carry out signature decryption, then the public key is used for verifying whether the signature is legal or not, and the user who enters the teaching system is determined whether to be correct or not and then enters the system; at the teaching end, the teacher decrypts through the applied private key, the public key verifies the information, and the teacher information is entered into the system after the teacher information is determined to be consistent with the teacher information entered by the system.
8. The medical integrated teaching information transmission method based on virtual reality interaction according to claim 7, characterized in that: in step S3, the theoretical and practical learning abilities of the user are evaluated through virtual examination paper assessment, and the comprehensive ability score Z is:
Figure FDA0003892485090000021
wherein x is a theoretical knowledge assessment score, y is a practice operation assessment score, alpha is a theoretical knowledge part weight, beta is a practice operation part weight, and S is a total score; setting the threshold value to Z Threshold value When Z is<Z Threshold value Judging that the learning ability of the user is weak, and alarming and reminding;
and evaluating the learning time and the learning ability of the learning user through a PERT algorithm.
In the time interval (m, n),
Figure FDA0003892485090000022
where a is the shortest duration of user learning, b is the longest duration of user learning, t is the most likely time to estimate user learning, and f is the most likely struggle for user learning.
The expected time T formula for the user learning time is:
Figure FDA0003892485090000031
variance σ of user learning time 2 The formula is as follows:
Figure FDA0003892485090000032
by comparing the learning time of the estimation user with the actual time, when the actual time is longer than the estimation time, the system sends the analysis result to the learning user and a teacher, and the learning ability of the user is estimated.
9. The medical integrated teaching information transmission method based on virtual reality interaction according to claim 8, characterized in that: in the step S4, the study end displays the theoretical course and the practice course learned by the user in a virtual screen through an AR technology, the action data of the actual operation of the user is collected through a data glove, when the practice operation has errors, the error part is displayed and is demonstrated again, the user can carefully watch the practice step and operate, the operation ability of the user is enhanced, the theory and the practice are better combined, the learning time is monitored, the threshold value is set, and when the threshold value is exceeded, alarm reminding is carried out; meanwhile, the data analysis result is displayed through the virtual screen, so that the learning user can conveniently control the self learning condition, and when the assessment score is lower than a threshold value or the actual learning time is more than the estimation time, the alarm reminding is carried out; and displaying the data analysis result at the teaching end, and evaluating the ability of the learning user by the teacher according to the result and proposing a suggestion.
CN202211264528.0A 2022-10-17 2022-10-17 Medical integrated teaching information transmission system and method based on virtual reality interaction Pending CN115619987A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116563068A (en) * 2023-05-16 2023-08-08 广东同异教育科技有限公司 5G network service platform type remote education system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116563068A (en) * 2023-05-16 2023-08-08 广东同异教育科技有限公司 5G network service platform type remote education system

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