CN110853724A - Cloud computing intelligent rehabilitation training remote terminal system and use method thereof - Google Patents
Cloud computing intelligent rehabilitation training remote terminal system and use method thereof Download PDFInfo
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Abstract
The invention provides a cloud computing intelligent rehabilitation training remote terminal system, which comprises an intelligent host, a display and a body signal acquisition device, wherein the intelligent host is in signal connection with the display, the body signal acquisition device is in signal connection with the intelligent host, an intelligent rehabilitation training module, a signal collection module, a signal analysis module, a VR module and a camera module are arranged in the intelligent host, and an intelligent rehabilitation training application is arranged in the display, and the cloud computing intelligent rehabilitation training remote terminal system has the beneficial effects that: the technology is mature and stable, the system framework is reasonable, the operation is stable and convenient, the cost is low, the patient rehabilitation training information is guided and collected through the mode of the body signal acquisition device, the intelligent host and the display, the virtual model is generated and compared with the rehabilitation training course in real time, whether the action of the patient is prepared or not is accurately judged, meanwhile, the nerve response of the patient is obtained through the body signal acquisition device, whether the current rehabilitation training meets the treatment requirement of the patient or not can be accurately judged, and the spasm treatment effect is better.
Description
[ technical field ] A method for producing a semiconductor device
The invention relates to a rehabilitation training system, in particular to a cloud computing intelligent rehabilitation training remote terminal system and a using method thereof.
[ background of the invention ]
Stroke (also called stroke) and cerebrovascular accident are acute cerebrovascular diseases. At present, stroke becomes the first cause of death in China and is also the leading cause of disability of adults in China, and the stroke has the characteristics of high morbidity, high mortality and high disability rate. Most of patients who survive the stroke suffer from limb muscle tension spasm, and the patients are seriously hindered from returning to families and society. The existing spasm treatment methods mainly comprise a plurality of treatment methods including medicine and operation treatment, electrical stimulation treatment, physical therapist treatment, exercise rehabilitation robots and rehabilitation assistive training, but the methods cannot accurately and effectively judge whether the actions of a patient meet the standard or not and whether the contents of the rehabilitation training meet the treatment requirements of the patient or not, so that the patient is difficult to be guided to carry out correct rehabilitation training.
[ summary of the invention ]
The invention aims to solve the problems of the existing spasm treatment method for the cerebral apoplexy survivors, and provides a cloud computing intelligent rehabilitation training remote terminal system and a using method thereof.
The invention is realized by the following technical scheme: a cloud computing intelligent rehabilitation training remote terminal system comprises an intelligent host, a display and a body signal acquisition device, wherein the intelligent host is in signal connection with the display, the body signal acquisition device is in signal connection with the intelligent host, an intelligent rehabilitation training module, a signal collection module, a signal analysis module, a VR module and a camera module are arranged in the intelligent host, a rehabilitation training system is arranged in the intelligent rehabilitation training module, the intelligent rehabilitation training module is in signal connection with the display, the signal collection module collects rehabilitation training information of a patient through the body signal acquisition device, the signal collection module is in signal connection with the signal analysis module, the signal collection module transmits the rehabilitation training information of the patient to the signal analysis module, the signal analysis module is in signal connection with the VR module, and the signal analysis module analyzes and arranges the rehabilitation training information, and the rehabilitation training information after the analysis and the arrangement is transmitted to a VR module, a VR system is arranged in the VR module, the VR system establishes a virtual patient action model according to the rehabilitation training information of the patient, the VR module is in signal connection with an intelligent rehabilitation training module, the camera module is in signal connection with the VR module, the camera module is a plurality of cameras, the cameras collect the rehabilitation training action of the patient and transmit the rehabilitation training action to the VR module to assist the VR module in establishing the virtual patient action model, an intelligent rehabilitation training application is arranged in the display, and the intelligent rehabilitation training application is in signal connection with the intelligent rehabilitation training module.
Further, the body signal acquisition device includes electrode paster, head nerve feedback appearance, and a plurality of electrode pasters paste at patient's disease position, the neural information and the behavior information at patient disease position are gathered to the electrode paster, head nerve feedback appearance dresses at patient's head, head nerve feedback appearance gathers patient's brain electrical data.
Furthermore, the electrode patch comprises a myoelectricity collection patch and a muscle movement collection patch, the myoelectricity collection patch is used for collecting nerve information, and the muscle movement collection patch is used for collecting action information.
Furthermore, the head nerve feedback instrument is in a hat shape or a helmet shape, a plurality of brain nerve information collectors are arranged on the head nerve feedback instrument, and the brain nerve information collectors are used for collecting brain nerve information.
A using method of a cloud computing intelligent rehabilitation training remote terminal system comprises the following specific steps:
s1, starting equipment, attaching the electrode patch to the affected part of the patient, wearing the head nerve feedback instrument on the head of the patient, then opening a terminal application of a display, selecting a corresponding rehabilitation training course in the terminal application, and playing a video and intelligent voice teaching of the rehabilitation training for the patient by the terminal application through the display;
s2, the patient performs different rehabilitation training actions according to the guidance of the rehabilitation training course, and the intelligent host acquires the rehabilitation training data of the patient and generates a virtual model by matching a camera with a body signal acquisition device;
s3, the display guides the patient to perform a rehabilitation training action each time, the action 3D forming of the patient can be realized through data transmitted by the intelligent host, and the data is compared with standard rehabilitation training actions, if the action of the patient does not reach the standard, the rehabilitation effect is not achieved, the patient can be prompted to repeat the rehabilitation training action through voice, and the patient can be guided to perform the rehabilitation training action correctly, if the action of the patient reaches the standard, the rehabilitation effect is achieved, and then the patient is played and guided to perform the next rehabilitation training action until the rehabilitation training is completed.
The invention has the beneficial effects that: the technology is mature and stable, the system framework is reasonable, the operation is stable and convenient, the cost is low, the patient rehabilitation training information is guided and collected through the mode of the body signal acquisition device, the intelligent host and the display, the virtual model is generated and compared with the rehabilitation training course in real time, whether the action of the patient is prepared or not is accurately judged, meanwhile, the nerve response of the patient is obtained through the body signal acquisition device, whether the current rehabilitation training meets the treatment requirement of the patient or not can be accurately judged, and the spasm treatment effect is better.
[ description of the drawings ]
Fig. 1 is a working schematic diagram of a cloud computing intelligent rehabilitation training remote terminal system according to the invention;
[ detailed description ] embodiments
The invention is further described with reference to the accompanying drawings and the detailed description:
as shown in FIG. 1, a cloud computing intelligent rehabilitation training remote terminal system comprises an intelligent host, a display and a body signal acquisition device, wherein the intelligent host is in signal connection with the display, the body signal acquisition device is in signal connection with the intelligent host, an intelligent rehabilitation training module, a signal collection module, a signal analysis module, a VR module and a camera module are arranged in the intelligent host, a rehabilitation training system is arranged in the intelligent rehabilitation training module, the intelligent rehabilitation training module is in signal connection with the display, the signal collection module collects rehabilitation training information of a patient through the body signal acquisition device, the signal collection module is in signal connection with the signal analysis module, the signal collection module transmits the rehabilitation training information of the patient to the signal analysis module, the signal analysis module is in signal connection with the VR module, and the signal analysis module analyzes and arranges the rehabilitation training information, and the rehabilitation training information after the analysis and the arrangement is transmitted to a VR module, a VR system is arranged in the VR module, the VR system establishes a virtual patient action model according to the rehabilitation training information of the patient, the VR module is in signal connection with an intelligent rehabilitation training module, the camera module is in signal connection with the VR module, the camera module is a plurality of cameras, the cameras collect the rehabilitation training action of the patient and transmit the rehabilitation training action to the VR module to assist the VR module in establishing the virtual patient action model, an intelligent rehabilitation training application is arranged in the display, and the intelligent rehabilitation training application is in signal connection with the intelligent rehabilitation training module.
Preferably, the body signal acquisition device includes electrode paster, head neural feedback appearance, and a plurality of electrode pasters paste at patient's disease position, the neural information and the behavior information of patient disease position are gathered to the electrode paster, head neural feedback appearance is dressed at patient's head, head neural feedback appearance gathers patient's brain electrical data.
Preferably, the electrode patch comprises a myoelectricity collection patch and a myoelectricity collection patch, the myoelectricity collection patch is used for collecting nerve information, and the myoelectricity collection patch is used for collecting action information.
Preferably, the head nerve feedback instrument is in a hat shape or a helmet shape, a plurality of brain nerve information collectors are arranged on the head nerve feedback instrument, and the brain nerve information collectors are used for collecting brain nerve information.
A using method of a cloud computing intelligent rehabilitation training remote terminal system comprises the following specific steps:
s1, starting equipment, attaching the electrode patch to the affected part of the patient, wearing the head nerve feedback instrument on the head of the patient, then opening a terminal application of a display, selecting a corresponding rehabilitation training course in the terminal application, and playing a video and intelligent voice teaching of the rehabilitation training for the patient by the terminal application through the display;
s2, the patient performs different rehabilitation training actions according to the guidance of the rehabilitation training course, and the intelligent host acquires the rehabilitation training data of the patient and generates a virtual model by matching a camera with a body signal acquisition device;
s3, the display guides the patient to perform a rehabilitation training action each time, the action 3D forming of the patient can be realized through data transmitted by the intelligent host, and the data is compared with standard rehabilitation training actions, if the action of the patient does not reach the standard, the rehabilitation effect is not achieved, the patient can be prompted to repeat the rehabilitation training action through voice, and the patient can be guided to perform the rehabilitation training action correctly, if the action of the patient reaches the standard, the rehabilitation effect is achieved, and then the patient is played and guided to perform the next rehabilitation training action until the rehabilitation training is completed.
Appropriate changes and modifications to the embodiments described above will become apparent to those skilled in the art from the disclosure and teachings of the foregoing description. Therefore, the present invention is not limited to the specific embodiments disclosed and described above, and some modifications and variations of the present invention should fall within the scope of the claims of the present invention. Furthermore, although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation.
Claims (5)
1. The utility model provides a cloud calculates intelligent rehabilitation training remote terminal system, includes intelligent host computer, display, health signal acquisition device, intelligent host computer and display signal connection, health signal acquisition device and intelligent host computer signal connection, its characterized in that: an intelligent rehabilitation training module, a signal collecting module, a signal analyzing module, a VR module and a camera module are arranged in the intelligent host, a rehabilitation training system is arranged in the intelligent rehabilitation training module, the intelligent rehabilitation training module is in signal connection with a display, the signal collecting module collects rehabilitation training information of a patient through a body signal collecting device, the signal collecting module is in signal connection with the signal analyzing module, the signal collecting module transmits the rehabilitation training information of the patient to the signal analyzing module, the signal analyzing module is in signal connection with the VR module, the signal analyzing module analyzes and arranges the rehabilitation training information and transmits the analyzed and arranged rehabilitation training information to the VR module, a VR system is arranged in the VR module, the VR system establishes a virtual patient action model according to the rehabilitation training information of the patient, and the VR module is in signal connection with the intelligent rehabilitation training module, the utility model discloses a virtual rehabilitation training device, including VR module, camera module and display, camera module and VR module signal connection, camera module is a plurality of camera, the rehabilitation training action of patient is collected to the camera to transmit for the VR module, assist the VR module to establish virtual patient action model, be equipped with intelligent rehabilitation training application in the display, intelligent rehabilitation training application and intelligent rehabilitation training module signal connection.
2. The cloud computing intelligent rehabilitation training remote terminal system according to claim 1, wherein: the body signal acquisition device comprises electrode patches and a head nerve feedback instrument, wherein the electrode patches are attached to the patient parts of the patient, the electrode patches acquire nerve information and behavior information of the patient parts of the patient, the head nerve feedback instrument is worn on the head of the patient, and the head nerve feedback instrument acquires electroencephalogram data of the patient.
3. The cloud computing intelligent rehabilitation training remote terminal system according to claim 2, wherein: the electrode patch comprises a myoelectricity collection patch and a myoelectricity collection patch, the myoelectricity collection patch is used for collecting nerve information, and the myoelectricity collection patch is used for collecting action information.
4. The cloud computing intelligent rehabilitation training remote terminal system according to claim 2, wherein: the head nerve feedback instrument is in a hat shape or a helmet shape, a plurality of brain nerve information collectors are arranged on the head nerve feedback instrument, and the brain nerve information collectors are used for collecting brain nerve information.
5. A using method of a cloud computing intelligent rehabilitation training remote terminal system is characterized by comprising the following specific steps:
s1, starting equipment, attaching the electrode patch to the affected part of the patient, wearing the head nerve feedback instrument on the head of the patient, then opening a terminal application of a display, selecting a corresponding rehabilitation training course in the terminal application, and playing a video and intelligent voice teaching of the rehabilitation training for the patient by the terminal application through the display;
s2, the patient performs different rehabilitation training actions according to the guidance of the rehabilitation training course, and the intelligent host acquires the rehabilitation training data of the patient and generates a virtual model by matching a camera with a body signal acquisition device;
s3, the display guides the patient to perform a rehabilitation training action each time, the action 3D forming of the patient can be realized through data transmitted by the intelligent host, and the data is compared with standard rehabilitation training actions, if the action of the patient does not reach the standard, the rehabilitation effect is not achieved, the patient can be prompted to repeat the rehabilitation training action through voice, and the patient can be guided to perform the rehabilitation training action correctly, if the action of the patient reaches the standard, the rehabilitation effect is achieved, and then the patient is played and guided to perform the next rehabilitation training action until the rehabilitation training is completed.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113257382A (en) * | 2021-06-03 | 2021-08-13 | 郑州大学 | System and method for managing post-traumatic elongated tube of stroke patient based on cloud computing |
| CN113331844A (en) * | 2021-06-01 | 2021-09-03 | 郑州大学 | Cerebral stroke conditioning growth system and method based on testing cloud evaluation system |
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2019
- 2019-09-29 CN CN201910933660.8A patent/CN110853724A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113331844A (en) * | 2021-06-01 | 2021-09-03 | 郑州大学 | Cerebral stroke conditioning growth system and method based on testing cloud evaluation system |
| CN113257382A (en) * | 2021-06-03 | 2021-08-13 | 郑州大学 | System and method for managing post-traumatic elongated tube of stroke patient based on cloud computing |
| CN113257382B (en) * | 2021-06-03 | 2023-03-31 | 郑州大学 | System and method for managing post-traumatic elongated tube of stroke patient based on cloud computing |
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