CN115337004A - Prosthetic rehabilitation training auxiliary system - Google Patents
Prosthetic rehabilitation training auxiliary system Download PDFInfo
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- CN115337004A CN115337004A CN202211005922.2A CN202211005922A CN115337004A CN 115337004 A CN115337004 A CN 115337004A CN 202211005922 A CN202211005922 A CN 202211005922A CN 115337004 A CN115337004 A CN 115337004A
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- 238000012549 training Methods 0.000 title claims abstract description 55
- 230000008451 emotion Effects 0.000 claims abstract description 14
- 238000000034 method Methods 0.000 claims abstract description 6
- 230000008569 process Effects 0.000 claims abstract description 6
- 230000003068 static effect Effects 0.000 claims description 9
- 238000010586 diagram Methods 0.000 claims description 8
- 230000001815 facial effect Effects 0.000 claims description 6
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 238000013473 artificial intelligence Methods 0.000 claims description 4
- 230000008921 facial expression Effects 0.000 claims description 4
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 claims description 3
- 230000009471 action Effects 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 claims description 3
- 239000000741 silica gel Substances 0.000 claims description 3
- 229910002027 silica gel Inorganic materials 0.000 claims description 3
- 238000003384 imaging method Methods 0.000 claims description 2
- 239000012528 membrane Substances 0.000 claims description 2
- 230000002567 autonomic effect Effects 0.000 claims 1
- 238000004364 calculation method Methods 0.000 claims 1
- 238000000418 atomic force spectrum Methods 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 206010063659 Aversion Diseases 0.000 description 1
- 206010028289 Muscle atrophy Diseases 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 206010016256 fatigue Diseases 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000003205 muscle Anatomy 0.000 description 1
- 230000020763 muscle atrophy Effects 0.000 description 1
- 201000000585 muscular atrophy Diseases 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000000284 resting effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000008961 swelling Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 230000003867 tiredness Effects 0.000 description 1
- 208000016255 tiredness Diseases 0.000 description 1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/1036—Measuring load distribution, e.g. podologic studies
- A61B5/1038—Measuring plantar pressure during gait
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/112—Gait analysis
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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Abstract
The invention provides an artificial limb rehabilitation training auxiliary system, which comprises: the prosthetic rehabilitation training auxiliary system is arranged in an independent room and comprises: the system comprises a display screen, a first set of cameras, a second set of cameras and a host; the display screen is positioned right in front of the room and used for displaying various images and data in the training process; the first set of cameras are located on the front face of the room, the second set of cameras are located on the side face of the room, and the first set of cameras and the second set of cameras are used for collecting image data of a human body and sending the image data to the host; the host is used for carrying out video recognition on the received image data to realize human body capture, user posture analysis and emotion analysis.
Description
Technical Field
The invention relates to the technical field of rehabilitation equipment, in particular to an artificial limb rehabilitation training auxiliary system.
Background
After the artificial limb is installed, the patient generally needs three days to adapt from getting out of bed to standing, and needs longer time from standing to walking, and in this time period, because of reasons such as psychology, fatigue, conflict, doctor-patient standard differ, cause the training easily and appear all kinds of problems.
In the prior art, firstly, the doctor and the patient can not know about the doctor and the patient, and communication compensation is performed for the doctor and the patient, which is too professional; secondly, too many auxiliary tools are installed, so that the patient is easy to be used as a research object, and the psychological enhancement is resisted.
After the artificial limb is installed, the comfort state of the artificial limb cannot be effectively fed back due to various internal and external factors when the patient installs the artificial limb; meanwhile, after a period of time, the artificial limbs are mismatched due to swelling, muscle atrophy and other reasons, and doctors and patients are easy to contradict.
Disclosure of Invention
The object of the present invention is to solve at least one of the technical drawbacks mentioned.
Therefore, the invention aims to provide a prosthetic rehabilitation training auxiliary system.
In order to achieve the above object, an embodiment of the present invention provides a prosthesis rehabilitation training assistance system, including:
the prosthetic rehabilitation training auxiliary system is arranged in an independent room and comprises: the system comprises a display screen, a first set of cameras, a second set of cameras and a host;
the display screen is positioned right in front of the room and used for displaying various images and data in the training process;
the first set of cameras are located on the front face of the room, the second set of cameras are located on the side face of the room, and the first set of cameras and the second set of cameras are used for collecting image data of a human body and sending the image data to the host;
the host is used for carrying out video recognition on the received image data to realize human body capture, user posture analysis and emotion analysis.
Further, when the user performs the standing exercise,
the host computer receives pressure data detected by a plurality of pressure sensors arranged on soles of a user, a plurality of pressure sensors are arranged on each sole of the user, each pressure sensor transmits the pressure data back to the host computer in a wireless mode, the host computer analyzes the pressure data, and analyzed data and graphs are displayed through the display screen so that the body posture of the user can be adjusted automatically through graphical information during training.
Further, the display content of the display screen comprises: the pressure of each part, the pressure balance of each foot and the front-view video, and other necessary auxiliary data.
Further, when the user performs walking training,
the main machine carries out human body analysis and action analysis through videos, standard walking posture guidance is added in the mirror image videos, and self posture adjustment is carried out when a patient trains, so that the purpose of self training is achieved.
Further, the mirror image video and the standard posture are main display contents, the standard walking posture is displayed at the corner of the video, the standard posture is a frame, the mirror image video is framed, the mirror image video is located in the middle of display, and the movement of a person is guided to move into the frame.
Further, when the user carries out emotion analysis, the host computer adopts artificial intelligence to calculate and further analyzes the emotion of the user through videos, judges whether the user is tired or not through calculating the step number and the historical training amount, and carries out necessary reminding on a doctor.
Further, the host performs facial recognition through opencv to obtain a face, performs a large amount of facial expression training through a CNN model, performs facial emotion analysis according to a training result, and outputs an expression label.
Furthermore, a surface stress monitoring point is added between the silica gel pad and the human body in the artificial limb cavity, and the stress data of the artificial limb under static and dynamic states is transmitted in real time by a wireless means; after a patient initially adapts to an artificial limb, collecting stress data of each part to form a stress distribution map; abnormal stress under static state and dynamic state is checked through the stress model, and reference basis is provided for a rehabilitation teacher and a molder.
Furthermore, a film pressure sensor is adopted between the artificial limb cavity and the artificial limb to detect stress.
Further, a special shoe cover is designed, a plurality of strain sensors are mounted at the bottom of the special shoe cover, the stress of static walking and walking is detected and sent to a host for analysis, and the host sends an analysis result to the display screen;
in the balance training mode, the display screen displays the comparison state of the stress chart of each foot, and displays the stress state of each part of each foot in an imaging display mode, so that the patient can self-regulate the pressure according to the stress peak diagram.
According to the artificial limb rehabilitation training auxiliary system provided by the embodiment of the invention, a stress detection device and related matched software and services are provided, and the problems of doctor-patient contradiction and the like caused by the fact that the comfort state of an artificial limb is not effectively fed back and the artificial limb is not matched in the prior art can be solved. The invention can save training time and reduce the patient's conflict.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a block diagram of a prosthetic rehabilitation training aid system according to an embodiment of the present invention;
FIG. 2 is a graph of normal human resting and walking force curves according to an embodiment of the present invention;
fig. 3 is an interface diagram of a prosthetic rehabilitation training aid system according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The invention provides a set of auxiliary system for a user to walk rehabilitation training after the artificial limb is installed.
As shown in fig. 1, the prosthesis rehabilitation training assisting system according to an embodiment of the present invention, which is provided in an independent room, includes: display screen, first set of camera, second set of camera, host computer.
Specifically, the display screen is located right in front of the room and used for displaying various images and data in the training process.
The first set of camera is located the front in room, and the second set of camera is located the side in room, and wherein, first set of camera and second set of camera are used for gathering human image data to send the host computer.
The host is used for carrying out video recognition on the received image data to realize human body capture, user posture analysis and emotion analysis.
When the user is performing the standing exercise,
the host computer receives pressure data detected by a plurality of pressure sensors arranged on soles of a user, a plurality of pressure sensors are arranged on each sole of the user, each pressure sensor transmits the pressure data back to the host computer in a wireless mode, the host computer analyzes the pressure data, and the analyzed data and graphs are displayed through the display screen, so that the user can independently adjust the body posture through graphical information during training. In the process, doctors and patients can realize self-correction of errors of the patients without excessive correction, and conflict upgrade is prevented.
In an embodiment of the present invention, the display content of the display screen includes: the pressure of each part, the pressure balance of each foot and the front-view video, and other necessary auxiliary data.
When the user is performing the walking exercise,
the host computer carries out human body analysis and action analysis through the video, adds standard walking posture guide in the mirror image video, and the patient carries out self-posture adjustment during training, reaches the purpose of self-training. In the process, the doctor only needs to be responsible for the safety training of the patient and solves the problem of the patient, and then the rehabilitation training can be completed. The standard walking posture is displayed at the corner of the video, and the posture guidance means that a user observes the difference between the standard walking posture and the self walking posture in the video through naked eyes and adjusts the standard walking posture.
In the embodiment of the invention, the mirror image video and the human body are synchronous in real time, the frame and the posture of the human body are recognized at the same time, the standard posture is calculated according to the recognized posture of the human body, and the standard posture guidance is added on the mirror image video.
The mirror image video and the standard posture are main display contents, the standard walking posture is displayed at the corner of the video, the standard posture is a frame, the mirror image video is framed, and the standard walking posture is located in the middle of display and guides a person to move towards the inside of the frame. Other auxiliary data is displayed on both sides of the screen.
When the user carries out emotion analysis, the host computer adopts artificial intelligence to calculate and further analyzes the emotion of the user through videos, whether the user is tired or not is judged through calculating the step number and the historical training amount, and necessary reminding is carried out on a doctor. Specifically, the emotion of the user adopts an artificial intelligence technology, and a large amount of facial expression data such as tiredness, pain, happiness, aversion to mind, sadness, joy and the like are trained. Remind the recovered teacher in time to train and have a rest.
The host computer carries out facial recognition through opencv to obtain the face, then carries out a large amount of facial expression training through the CNN model, carries out facial emotion analysis according to the training result, and outputs the expression label.
In the artificial limb cavity, a surface stress monitoring point is added between the silica gel pad and the human body, and the stress data of the artificial limb under static and dynamic states is transmitted in real time by a wireless means; after the patient initially adapts to the artificial limb, stress data of all parts are collected to form a stress distribution diagram. If a prosthesis mismatch occurs, which may result in partial loosening of the socket portion and partial compression, the abnormal position may be analyzed by force profiling. Abnormal stress under static state and dynamic state is checked through the stress model, and reference basis is provided for a rehabilitation teacher and a molder. Fig. 2 is a force curve diagram for a normal person who is still and walking according to an embodiment of the invention.
In an embodiment of the invention, a membrane pressure sensor is used to detect the force between the prosthetic socket and the prosthesis.
The invention further designs a special shoe cover, a plurality of strain sensors are arranged at the bottom of the special shoe cover, the stress of static walking and walking is detected and sent to a host computer for analysis, and the host computer sends an analysis result to a display screen;
in the balance training mode, the display screen shows the comparison state of the stress chart of each foot, and the stress state of each part of each foot is shown in an visualized display mode, so that the patient can self-regulate the pressure according to the stress peak diagram.
The prosthesis rehabilitation training system of the embodiment of the invention can also be used for stepping training and muscle perception. After a period of time, the patient feels untimely, and the primary stress data is compared through secondary stress information acquisition, so that the patient can receive the doctor instruction more easily in a psychological way.
Fig. 3 is an interface diagram of a prosthetic rehabilitation training aid system according to an embodiment of the present invention. Referring to fig. 3, the interface may show the weight of the patient, the stress state of the foot, and the like.
According to the artificial limb rehabilitation training auxiliary system provided by the embodiment of the invention, a stress detection device and related matched software and services are provided, and the problems of doctor-patient contradiction and the like caused by the fact that the comfort state of an artificial limb is not effectively fed back and the artificial limb is not matched in the prior art can be solved. The invention can save training time and reduce the patient's conflict.
In the description of the specification, reference to the description of "one embodiment," "some embodiments," "an example," "a specific example," or "some examples" or the like means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made in the above embodiments by those of ordinary skill in the art without departing from the principle and spirit of the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. A prosthetic rehabilitation training aid system, the prosthetic rehabilitation training aid system being provided in an independent room, comprising: the system comprises a display screen, a first set of cameras, a second set of cameras and a host;
the display screen is positioned right in front of the room and used for displaying various images and data in the training process;
the first set of cameras are located on the front face of the room, the second set of cameras are located on the side face of the room, and the first set of cameras and the second set of cameras are used for collecting image data of a human body and sending the image data to the host;
the host is used for carrying out video recognition on the received image data to realize human body capture, user posture analysis and emotion analysis.
2. A prosthetic rehabilitation guidance system according to claim 1, wherein when the user is performing standing exercises,
the host computer receives the pressure data that a plurality of pressure sensor installed at user's sole detected, installs a plurality of pressure sensor at every sole of user, and every pressure sensor passes pressure data back to the host computer through wireless mode, the host computer is right pressure data carries out the analysis, with data and figure after the analysis, through the display screen demonstrates to by the user when training, through graphical information, carry out autonomic regulation body gesture.
3. A prosthetic rehabilitation training aid system as claimed in claim 2, wherein the display of said display screen includes: the pressure of each part, the pressure balance of each foot and the front-view video, and other necessary auxiliary data.
4. A prosthetic rehabilitation guidance system according to claim 1, wherein when the user is performing walking exercises,
the main machine carries out human body analysis and action analysis through videos, standard walking posture guidance is added in the mirror image videos, and self posture adjustment is carried out when a patient trains, so that the purpose of self training is achieved.
5. A prosthetic rehabilitation training aid system according to claim 4, wherein the mirror image video, standard posture is the main display content, the standard walking posture is displayed at the corner of the video, the standard posture is the frame, the mirror image video is framed, and the mirror image video is located in the middle of the display and guides the human motion to move into the frame.
6. A prosthetic rehabilitation training aid system according to claim 1, wherein when the user performs emotion analysis, the host computer further analyzes the emotion of the user through video by using artificial intelligence calculation, judges fatigue by calculating the number of steps and the amount of historical training, and gives necessary reminders to the doctor.
7. A prosthetic rehabilitation training aid system as claimed in claim 6, wherein said host computer performs facial recognition through opencv to obtain a face, performs a large amount of facial expression training through CNN model, performs facial emotion analysis according to the training result, and outputs an expression label.
8. A prosthetic rehabilitation training auxiliary system as claimed in claim 1, wherein, in the prosthetic cavity, a surface stress monitoring point is added between the silica gel pad and the human body, and the stress data of the prosthetic limb under static and dynamic states is transmitted in real time by wireless means; after the patient initially adapts to the artificial limb, collecting stress data of each part to form a stress distribution map; abnormal stress under static state and dynamic state is checked through the stress model, and reference basis is provided for a rehabilitation teacher and a molder.
9. A prosthetic rehabilitation training aid system as claimed in claim 8, wherein a membrane pressure sensor is used to sense forces between the prosthetic cavity and the prosthesis.
10. A prosthetic rehabilitation training aid system according to claim 1, wherein a special shoe cover is designed, a plurality of strain type sensors are installed at the bottom of the special shoe cover, the stress of walking in a static state is detected and sent to a host computer for analysis, and the host computer sends the analysis result to the display screen;
in the balance training mode, the display screen displays the comparison state of the stress chart of each foot, and displays the stress state of each part of each foot in an imaging display mode, so that the patient can self-regulate the pressure according to the stress peak diagram.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211005922.2A CN115337004A (en) | 2022-08-22 | 2022-08-22 | Prosthetic rehabilitation training auxiliary system |
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| CN202211005922.2A CN115337004A (en) | 2022-08-22 | 2022-08-22 | Prosthetic rehabilitation training auxiliary system |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101579283A (en) * | 2009-06-12 | 2009-11-18 | 重庆大学 | Single prosthetic walking aided training equipment |
| US20120086550A1 (en) * | 2009-02-24 | 2012-04-12 | Leblanc Donald Joseph | Pedobarographic biometric system |
| CN202860021U (en) * | 2012-07-27 | 2013-04-10 | 唐丹 | Track-type body weight support treadmill training system |
| CN112044023A (en) * | 2019-06-07 | 2020-12-08 | 丰田自动车株式会社 | Walking training system, storage medium storing control program for walking training system, and method for controlling walking training system |
| CN113542378A (en) * | 2021-07-02 | 2021-10-22 | 杭州市第一人民医院 | Remote rehabilitation service-oriented interactive exercise training method and device, computer equipment and storage medium |
| CN113780223A (en) * | 2021-09-09 | 2021-12-10 | 北京信息科技大学 | Gait recognition method and device for artificial limb and storage medium |
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- 2022-08-22 CN CN202211005922.2A patent/CN115337004A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120086550A1 (en) * | 2009-02-24 | 2012-04-12 | Leblanc Donald Joseph | Pedobarographic biometric system |
| CN101579283A (en) * | 2009-06-12 | 2009-11-18 | 重庆大学 | Single prosthetic walking aided training equipment |
| CN202860021U (en) * | 2012-07-27 | 2013-04-10 | 唐丹 | Track-type body weight support treadmill training system |
| CN112044023A (en) * | 2019-06-07 | 2020-12-08 | 丰田自动车株式会社 | Walking training system, storage medium storing control program for walking training system, and method for controlling walking training system |
| CN113542378A (en) * | 2021-07-02 | 2021-10-22 | 杭州市第一人民医院 | Remote rehabilitation service-oriented interactive exercise training method and device, computer equipment and storage medium |
| CN113780223A (en) * | 2021-09-09 | 2021-12-10 | 北京信息科技大学 | Gait recognition method and device for artificial limb and storage medium |
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