CN114042296A - Intelligent training system for rehabilitation of lung surgery patient - Google Patents
Intelligent training system for rehabilitation of lung surgery patient Download PDFInfo
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- CN114042296A CN114042296A CN202111107228.7A CN202111107228A CN114042296A CN 114042296 A CN114042296 A CN 114042296A CN 202111107228 A CN202111107228 A CN 202111107228A CN 114042296 A CN114042296 A CN 114042296A
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0075—Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0003—Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0003—Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
- A63B24/0006—Computerised comparison for qualitative assessment of motion sequences or the course of a movement
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0087—Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
- A63B2071/0647—Visualisation of executed movements
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2214/00—Training methods
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/05—Image processing for measuring physical parameters
Abstract
The invention discloses an intelligent training system for rehabilitation of a patient with a lung operation, which comprises: a patient identity database for storing identity information and training plans for registered patients; the training database is used for storing training data of all training items; the searching module is used for searching from a patient identity database; the first calling module is used for calling a training plan of a patient; the detection judgment module is used for detecting the frequency label and the state label of the training items in the training plan; the second calling module is used for calling the training item where the label in the untrained state is located and the training plan where the label in the untrained state is located; the acquisition module is used for acquiring corresponding training data from a training database; and the analog display module is used for performing analog display according to the training data acquired by the acquisition module. The invention can improve the participation of the patient, reduce the cost and scientifically guide the patient to carry out rehabilitation activities with proper method, frequency and intensity so as to achieve the aim of promoting the postoperative rehabilitation of the patient.
Description
Technical Field
The invention relates to the technical field of rehabilitation training, in particular to an intelligent training system for rehabilitation of a patient with lung surgery.
Background
Lung cancer is the malignant tumor which has the greatest threat to the health and life of Chinese people at present. 78.7 ten thousand new lung cancer cases in 2015, and at present, surgical treatment is still the most effective treatment means for lung cancer. However, due to the reasons of large surgical trauma, high incision tension and the like, the pulmonary surgery patient is easy to suffer from wound pain, long-term shoulder joint movement limitation and the like, and finally the postoperative limb disuse shoulder joint dyskinesia can be caused. Therefore, accurate, effective and safe operative side limb exercises (arm lifting movement, shoulder joint lifting and stretching movement and ear magic movement) are performed at the early stage after the operation, and the rehabilitation of patients is of great significance. For example, stiffness and pain of the upper limb can be relieved. Reducing scar contracture, and preventing affected limb dysfunction caused by scar contracture.
With the development of somatosensory technology, the body-building game which takes body-building and sports health as main playing methods gets popular attention and praise, and the concept of the health game is gradually aroused. Meanwhile, the somatosensory technology provides possibility for transforming part of clinical treatment technologies or behavior intervention means of nursing or rehabilitation medicine into game playing methods. A game model for improving the behavior and health status of patients by playing is proposed and gradually popularized. Therefore, how to apply the somatosensory technology to rehabilitation training of lung cancer patients and other lung surgery patients is to be further developed by technicians.
Disclosure of Invention
The invention aims to provide an intelligent training system for rehabilitation of a patient subjected to lung surgery, which overcomes the defects in the prior art.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
an intelligent training system for pulmonary surgery patient rehabilitation, comprising:
the input module is used for inputting the identity information of the patient to be trained;
the patient identity database is used for storing the identity information of registered patients, the identity information of each patient is bound with a training plan of the patient, each training plan is provided with at least one training item, and each training item is provided with a frequency label for recording the training item and a state label for judging whether to train or not;
the training database is used for storing training data of all training items;
the searching module is used for searching the identity information of the patient to be trained, which is input by the input module, from the patient identity database;
the first calling module is used for calling a training plan of the patient after the patient is searched from the patient identity database by the searching module and acquiring a training item of the patient during the last training;
the detection and judgment module is used for detecting the frequency label and the state label of the training item in the training plan called by the first calling module, and judging whether the training item in which the label in the non-training state is located is the same as or adjacent to the acquired training item of the patient in the last training when the state label is not trained and the frequency label is not saturated;
the second calling module is used for calling the training item in which the label in the untrained state is positioned and the training plan in which the label in the untrained state is positioned when the detection judging module judges that the training item in which the label in the untrained state is positioned is the same as or adjacent to the acquired training item in the last training of the patient;
the acquisition module is used for acquiring corresponding training data from a training database according to the training item and the training plan where the untrained state label is called by the second calling module;
the analog display module is used for performing analog display according to the training data acquired by the acquisition module;
the patient identification card training system is characterized in that the input module, the searching module, the detecting module, the second calling module, the acquiring module and the simulation display module are sequentially connected, the patient identification card database is connected with the searching module, the first calling module and the second calling module, and the training database is connected with the acquiring module.
Further, the patient identity database comprises:
the identity storage module is used for storing the identity information of the patient, and the identity information at least comprises the name, the identification card number, the contact way, the treatment card number, the disease type and the rehabilitation stage of the patient;
the training plan storage module is used for recording rehabilitation training plans of patients, each patient corresponds to one training plan, a plurality of sub-plans are arranged in each training plan, at least one training project is arranged in each sub-plan, and each training project is provided with a frequency label for recording the training project and a state label for judging whether to train or not;
and the identity storage module is connected with the training plan storage module.
Further, the patient identity database further comprises:
and the priority ranking module is used for ranking the identity information storage and the training plan storage according to the priority sequence according to the time labels and the state labels of the training items.
Further, still include:
the input module is connected with the patient identity database and used for prompting whether the patient identity information is input into the patient identity database through the input module when the identity information of the patient to be trained, which is input by the input module, is not searched from the patient identity database through the search module, prompting that the training plan of the patient needs to be input through the input module after the input, and locking the identity information of the patient in the patient identity database if the training plan of the patient is not input through the input module within the preset time.
Further, still include:
the camera module is used for shooting the simulation operation of the patient;
the image processing module is used for processing the image shot by the camera module;
the result evaluation module is used for comparing the simulated operation data of the patient processed by the image processing module with the training data and feeding back comparison errors to the simulation display module;
the result evaluation module is connected with both the analog display module and the image processing module, and the image processing module is connected with the camera module.
Further, the image processing module includes:
the background screening module is used for screening out a background from the picture shot by the camera shooting module and transmitting the screened background to the analog display module to be used as a background for analog display;
and the human body bone data module is used for acquiring the bone data of the patient from the picture shot by the camera module and transmitting the bone data of the patient to the result evaluation module.
Further, the analog display module includes:
the display module is used for providing a display screen;
the background synthesis module is used for synthesizing the background screened by the background screening module into the display module in real time;
the skeleton data modeling module is used for modeling according to the skeleton data of the patient transmitted by the human skeleton data module and a preset skeleton model, and simulating the action of the patient in the display module;
the guiding module is used for providing a simulation display virtual frame for guiding the patient in the display module, prompting qualified guidance when the action of the patient is within a preset range of the simulation display virtual frame, and prompting the patient to act again when the action of the patient is out of the preset range of the simulation display virtual frame;
the background synthesis module, the bone data modeling module and the guide module are all connected with the display module.
Further, the training database includes:
a data interface unit for providing an interface for the supplementary data;
the database module comprises a plurality of storage units, and each storage unit is used for independently storing training data of a training project according to the training project;
the type division module is used for marking unique label information for each training item, and the unique label information is used for recording the type of the training item;
the data interface unit, the database module and the type division module are connected in sequence.
Further, the detection judgment module comprises:
the detection module is used for detecting the frequency label and the state label of the training item in the training plan called by the first calling module;
the judging module is used for judging whether the training item of the untrained state label is the same as or adjacent to the acquired training item of the patient in the last training when the state label is untrained and the frequency label is not saturated;
the detection module and the judgment module are sequentially connected.
And further, the training plan history library is connected with the patient identity database, and is used for copying the training plan of the training project in the patient identity database into the training plan history library when the time label of each training project reaches a standard value, the state label is trained and the training plan of the training project is finished.
Compared with the prior art, the invention has the advantages that: the invention realizes the design of the training plan of each patient, matches each training patient, calls the corresponding training plan for training, and achieves the interaction and the correction of the action of the patient through the simulation display, thereby achieving the purpose of intelligent training, improving the participation degree of the patient, reducing the labor cost, scientifically guiding the patient to carry out rehabilitation activities with proper method, frequency and intensity, and achieving the purpose of promoting the postoperative rehabilitation of the patient.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of an intelligent training system for rehabilitation of a patient with lung surgery according to the present invention.
Fig. 2 is a schematic diagram of an image processing module in the present invention.
Fig. 3 is a schematic diagram of a patient identity database in the present invention.
FIG. 4 is a schematic diagram of a training database in the present invention.
FIG. 5 is a schematic diagram of a detection and determination module according to the present invention.
Fig. 6 is a schematic diagram of an analog display module of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, and the scope of the present invention will be more clearly and clearly defined.
Referring to fig. 1, the present embodiment discloses an intelligent training system for rehabilitation of a patient with pulmonary surgery, which includes: the input module 1 is used for inputting the identity information of a patient to be trained; the patient identity database 2 is used for storing the identity information of registered patients, the identity information of each patient is bound with a training plan of the patient, each training plan is provided with at least one training item, and each training item is provided with a frequency label for recording the training item and a state label for judging whether to train or not; a training database 3 for storing training data of all training items; the searching module 4 is used for searching the identity information of the patient to be trained, which is input by the input module 1, from the patient identity database; the first calling module 5 is used for calling a training plan of the patient after the patient is searched from the patient identity database by the searching module, and acquiring a training item of the patient during the last training; the detection and judgment module 6 is used for detecting the frequency label and the state label of the training item in the training plan called by the first calling module, and judging whether the training item in which the label in the non-training state is located is the same as or adjacent to the acquired training item of the patient in the last training when the state label is not trained and the frequency label is not saturated; the second calling module 7 is used for calling the training item in which the label in the untrained state is positioned and the training plan in which the label in the untrained state is positioned when the detection judging module 6 judges that the training item in which the label in the untrained state is positioned is the same as or adjacent to the acquired training item in the last training of the patient; the obtaining module 8 is configured to obtain corresponding training data from a training database according to the training item and the training plan where the untrained state label is called by the second calling module; and the simulation display module 9 is used for performing simulation display according to the training data acquired by the acquisition module.
The input module 1, the searching module 4, the detecting module 6, the second calling module 7, the obtaining module 8 and the simulation display module 9 are sequentially connected, the patient identity card database 2 is connected with the searching module 4, the first calling module 5 and the second calling module 7, and the training database 3 is connected with the obtaining module 8.
In this embodiment, referring to fig. 3, the patient identity database 2 includes:
the identity storage module 20 is configured to store the identity information of the patient, where the identity information at least includes the name, identification number, contact address, treatment card number, disease type, and rehabilitation stage of the patient, and other information may also be added as needed.
The training plan storage module 21 is configured to record rehabilitation training plans of patients, each patient corresponds to one training plan, each training plan is provided with a plurality of sub-plans, each sub-plan is provided with at least one training item, and each training item is provided with a number tag for recording the training item and a state tag for recording whether to train.
The identity storage module 20 is connected with a training plan storage module 21.
During actual operation, for example, a certain patient has 3 training plans, which are respectively a training plan 1, a training plan 2 and a training plan 3, wherein the training plan 1 includes a training item 1, a training item 2 and a training item 3, the training plan 2 includes a training item 4, a training item 5 and a training item 6, and the training plan 3 includes a training item 7, a training item 8 and a training item 9; taking the training plan 1 as an example for explanation, when the time label of the training item 1 is 0, the state label is untrained, and the number of times that the training item 1 needs to be trained is 2, it is indicated that the training item 1 has not been trained, and when the time label of the training item 1 is 1, and the state label is trained, it is indicated that the training item 1 has been trained, and it needs to be trained once to reach the standard.
The patient identity database 2 further comprises: a prioritization module 22, configured to prioritize the identity information storage and the training plan storage according to the time labels and the state labels of the training items, that is to say: when a patient has a large number of training sessions, the period is set to the front so that the search module 4 can search quickly.
As shown in fig. 1, this embodiment further includes: the entry module 10 is connected with the patient identity database 2, and is used for prompting whether the patient identity information is entered into the patient identity database 2 through the entry module 10 or not when the search module 4 does not search the identity information of the patient to be trained, which is input by the input module, from the patient identity database 2, prompting that the training plan of the patient needs to be entered through the entry module 10 after the entry, and if the training plan of the patient is not entered through the entry module 10 within a preset time, locking the identity information of the patient in the patient identity database 2 in a locking manner, wherein the locking manner can be that a locking label is printed on the identity information, and the identity information is not used as a searched object when the search module 4 searches, so that the patient is prevented from being searched without a corresponding training plan; or can be used as the searched object in time, but prompts ' no training plan ' after the search is successful, and please inform the attending doctor to enter in time '.
This embodiment still includes: the camera module 11 is used for shooting the simulation operation of the patient; an image processing module 12, configured to process an image captured by the camera module; the result evaluation module 13 is used for comparing the simulated operation data of the patient processed by the image processing module with the training data and feeding back comparison errors to the simulation display module; the result evaluation module 13 is connected to both the analog display module 9 and the image processing module 12, and the image processing module 12 is connected to the camera module 11.
Referring to fig. 2, the image processing module 12 includes: a background screening module 121, configured to screen a background from the picture taken by the camera module 11, and transmit the screened background to the analog display module 9 to serve as a background for analog display; a human bone data module 122, configured to obtain patient bone data from the picture taken by the camera module 11, and transmit the patient bone data to the result evaluation module 13.
Preferably, a Kinect camera is selected to acquire a real scene as a game background, and the Kinect camera is used for acquiring bone data of a patient.
Referring to fig. 6, the analog display module 9 includes:
a display module 90 for providing a display screen; a background synthesis module 91, configured to synthesize the background screened by the background screening module 121 in the display module 90 in real time; a bone data modeling module 92 for modeling according to a preset bone model according to the patient bone data transmitted by the human bone data module 122 and simulating the action of the patient in the display module 90; a guiding module 93, configured to provide a simulation display virtual frame for guiding the patient in the display module 90, prompt qualified guidance when the motion of the patient is within a preset range of the simulation display virtual frame, and prompt the patient to take action again when the motion of the patient is outside the preset range of the simulation display virtual frame.
The background synthesis module 91, the bone data modeling module 92 and the guiding module 93 are all connected to the display module 90.
In this embodiment, the skeleton model may be obtained by a pre-training method, and the training method may be a convolutional neural network.
Referring to fig. 4, the training database 3 includes: a data interface unit 30 for providing an interface for supplementary data; the database module 31 comprises a plurality of storage units, and each storage unit is used for independently storing training data of a training project according to the training project; the type division module 32 is used for marking unique label information for each training item, and the unique label information is used for recording the type of the training item; the data interface unit 30, the database module 31 and the type dividing module 32 are connected in sequence.
Referring to fig. 5, the detection determining module 6 includes: a detection module 60, configured to detect a number label and a state label of a training item in the training plan called by the first calling module 5; the judging module 61 is configured to judge whether a training item in which the untrained state label is located is the same as or adjacent to the acquired training item of the patient during the last training when the state label is untrained and the time label is not saturated; the detection module 60 and the judgment module 61 are connected in sequence.
Referring to fig. 1, the embodiment further includes a training plan history library 14 connected to the patient identity database 2, and when the time label of each training item reaches a standard value, the status label is trained, and the training plan of the training item is completed, the training plan of the training item in the patient identity database 2 is copied to the training plan history library 14, and the recorded data can be printed, so as to provide the family members of the patient with convenience for knowing the trained plan or item.
The invention realizes the design of the training plan of each patient, matches each training patient, calls the corresponding training plan for training, and achieves the interaction and the correction of the action of the patient through the simulation display, thereby achieving the purpose of intelligent training, improving the participation degree of the patient, reducing the labor cost, scientifically guiding the patient to carry out rehabilitation activities with proper method, frequency and intensity, and achieving the purpose of promoting the postoperative rehabilitation of the patient.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, various changes or modifications may be made by the patentees within the scope of the appended claims, and within the scope of the invention, as long as they do not exceed the scope of the invention described in the claims.
Claims (10)
1. An intelligent training system for pulmonary surgery patient rehabilitation, comprising:
the input module is used for inputting the identity information of the patient to be trained;
the patient identity database is used for storing the identity information of registered patients, the identity information of each patient is bound with a training plan of the patient, each training plan is provided with at least one training item, and each training item is provided with a frequency label for recording the training item and a state label for judging whether to train or not;
the training database is used for storing training data of all training items;
the searching module is used for searching the identity information of the patient to be trained, which is input by the input module, from the patient identity database;
the first calling module is used for calling a training plan of the patient after the patient is searched from the patient identity database by the searching module and acquiring a training item of the patient during the last training;
the detection and judgment module is used for detecting the frequency label and the state label of the training item in the training plan called by the first calling module, and judging whether the training item in which the label in the non-training state is located is the same as or adjacent to the acquired training item of the patient in the last training when the state label is not trained and the frequency label is not saturated;
the second calling module is used for calling the training item in which the label in the untrained state is positioned and the training plan in which the label in the untrained state is positioned when the detection judging module judges that the training item in which the label in the untrained state is positioned is the same as or adjacent to the acquired training item in the last training of the patient;
the acquisition module is used for acquiring corresponding training data from a training database according to the training item and the training plan where the untrained state label is called by the second calling module;
the analog display module is used for performing analog display according to the training data acquired by the acquisition module;
the patient identification card training system is characterized in that the input module, the searching module, the detecting module, the second calling module, the acquiring module and the simulation display module are sequentially connected, the patient identification card database is connected with the searching module, the first calling module and the second calling module, and the training database is connected with the acquiring module.
2. The intelligent training system for pulmonary surgery patient rehabilitation according to claim 1, wherein the patient identity database comprises:
the identity storage module is used for storing the identity information of the patient, and the identity information at least comprises the name, the identification card number, the contact way, the treatment card number, the disease type and the rehabilitation stage of the patient;
the training plan storage module is used for recording rehabilitation training plans of patients, each patient corresponds to one training plan, a plurality of sub-plans are arranged in each training plan, at least one training project is arranged in each sub-plan, and each training project is provided with a frequency label for recording the training project and a state label for judging whether to train or not;
and the identity storage module is connected with the training plan storage module.
3. The intelligent training system for pulmonary surgery patient rehabilitation according to claim 2, wherein the patient identity database further comprises:
and the priority ranking module is used for ranking the identity information storage and the training plan storage according to the priority sequence according to the time labels and the state labels of the training items.
4. The intelligent training system for pulmonary surgery patient rehabilitation according to claim 1, further comprising:
the input module is connected with the patient identity database and used for prompting whether the patient identity information is input into the patient identity database through the input module when the identity information of the patient to be trained, which is input by the input module, is not searched from the patient identity database through the search module, prompting that the training plan of the patient needs to be input through the input module after the input, and locking the identity information of the patient in the patient identity database if the training plan of the patient is not input through the input module within the preset time.
5. The intelligent training system for pulmonary surgery patient rehabilitation according to claim 1, further comprising:
the camera module is used for shooting the simulation operation of the patient;
the image processing module is used for processing the image shot by the camera module;
the result evaluation module is used for comparing the simulated operation data of the patient processed by the image processing module with the training data and feeding back comparison errors to the simulation display module;
the result evaluation module is connected with both the analog display module and the image processing module, and the image processing module is connected with the camera module.
6. The intelligent training system for pulmonary surgery patient rehabilitation according to claim 5, wherein the image processing module comprises:
the background screening module is used for screening out a background from the picture shot by the camera shooting module and transmitting the screened background to the analog display module to be used as a background for analog display;
and the human body bone data module is used for acquiring the bone data of the patient from the picture shot by the camera module and transmitting the bone data of the patient to the result evaluation module.
7. The intelligent training system for pulmonary surgery patient rehabilitation according to claim 6, wherein the analog display module comprises:
the display module is used for providing a display screen;
the background synthesis module is used for synthesizing the background screened by the background screening module into the display module in real time;
the skeleton data modeling module is used for modeling according to the skeleton data of the patient transmitted by the human skeleton data module and a preset skeleton model, and simulating the action of the patient in the display module;
the guiding module is used for providing a simulation display virtual frame for guiding the patient in the display module, prompting qualified guidance when the action of the patient is within a preset range of the simulation display virtual frame, and prompting the patient to act again when the action of the patient is out of the preset range of the simulation display virtual frame;
the background synthesis module, the bone data modeling module and the guide module are all connected with the display module.
8. The intelligent training system for pulmonary surgery patient rehabilitation according to claim 1, wherein the training database comprises:
a data interface unit for providing an interface for the supplementary data;
the database module comprises a plurality of storage units, and each storage unit is used for independently storing training data of a training project according to the training project;
the type division module is used for marking unique label information for each training item, and the unique label information is used for recording the type of the training item;
the data interface unit, the database module and the type division module are connected in sequence.
9. The intelligent training system for rehabilitation of patients with pulmonary surgery of claim 1, wherein the detection and judgment module comprises:
the detection module is used for detecting the frequency label and the state label of the training item in the training plan called by the first calling module;
the judging module is used for judging whether the training item of the untrained state label is the same as or adjacent to the acquired training item of the patient in the last training when the state label is untrained and the frequency label is not saturated;
the detection module and the judgment module are sequentially connected.
10. The intelligent training system for rehabilitation of patients with pulmonary surgery of claim 1, further comprising a training plan history library connected to the patient identity database, wherein the training plan of the training project in the patient identity database is copied to the training plan history library when the time label of each training project reaches a standard value, the status label is trained, and the training plan of the training project is completed.
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| Publication number | Priority date | Publication date | Assignee | Title |
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