CN111436942A - Auxiliary rehabilitation device, system and method for hand surgery rehabilitation training - Google Patents
Auxiliary rehabilitation device, system and method for hand surgery rehabilitation training Download PDFInfo
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- CN111436942A CN111436942A CN202010251791.0A CN202010251791A CN111436942A CN 111436942 A CN111436942 A CN 111436942A CN 202010251791 A CN202010251791 A CN 202010251791A CN 111436942 A CN111436942 A CN 111436942A
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Abstract
The invention provides an auxiliary rehabilitation device, an auxiliary rehabilitation system and an auxiliary rehabilitation method for hand surgery rehabilitation training. This supplementary recovered device includes: a glove body for wearing by a user, having a finger portion; the pressure sensor is used for detecting the pressure value at the finger tip of the finger part in real time; a bending angle sensor for detecting the degree of bending of the finger part in real time; and the central processing unit is in communication connection with the pressure sensor and the finger bending angle detection sensor and is used for processing the pressure value and the degree of finger bending so as to obtain effective data subjected to denoising processing and transmitting the effective data to a doctor data end and a patient data end. The auxiliary rehabilitation device provided by the invention can help a patient to train regularly and specifically by arranging the pressure sensor and the finger bending angle detection sensor on the traditional pressure glove to acquire the active rehabilitation training time and real-time hand movement data of the patient.
Description
Technical Field
The invention relates to the technical field of hand surgery active rehabilitation training, in particular to an auxiliary rehabilitation device, system and method for hand surgery rehabilitation training.
Background
Joint injury, tendon injury, burn, scald and the like are common causes of hand movement dysfunction, and active rehabilitation training of a patient after operation is a necessary means for preventing muscle atrophy and avoiding tendon adhesion. In the early postoperative period, the rehabilitation training needs to be performed for a few times due to the conditions of traumatic wounds and tissue edema, but the movement angle needs to be in place, and the process is mainly completed under the guidance of a professional physician in a hospital. In the middle postoperative period, the period of muscle atrophy and the period of joint and tendon adhesion formation are the most easily formed, and the recovery period is the longest, and the process is generally completed in a professional rehabilitation hospital or at home.
However, the postoperative training of the rehabilitation hospital is professional, but needs a professional nurse to complete one-to-one guidance, and the charge is high; the condition of tendon adhesion or joint deformity generally appears in physiology because the patient carries out the initiative rehabilitation training at home, and also the condition that the psychological burden that the short-term training is fruitless leads to also can appear in many patients because of being out of position. The existing hand surgery rehabilitation training is based on the traditional rehabilitation training device, is supervised and prompted to be completed under the guidance of professional nursing staff, records the training times and intensity every day, and returns to a hospital for reexamination every week. The method has high labor cost and difficult communication between doctors and patients.
Among the prior art, adopt intelligent gloves to carry out the scheme monitored to patient's hand action, gloves are exchanged to the gesture including gloves body, film bending degree sensor, triaxial gyroscope, three-dimensional acceleration sensor, power module, sound generating mechanism and control module, can express out patient's demand with sound, image and control signal's mode according to patient's gesture, and medical personnel and family members can in time know and satisfy patient's demand. The intelligent gloves are mainly used for patients with complete hand functions but language disabilities and cannot be used for active rehabilitation training of hand surgery.
Disclosure of Invention
An object of the present invention is to provide a rehabilitation assisting device that can be used for rehabilitation training of hand surgery.
A further object of the present invention is to enable the auxiliary rehabilitation device to accurately acquire pressure signals during the grasping process, thereby accurately reflecting the hand rehabilitation status of the patient.
Another object of the present invention is to provide a method for assisting the rehabilitation of the hands of a patient.
In particular, the present invention provides a rehabilitation aid device for surgical rehabilitation training of the hand, comprising:
a glove body for wearing by a user, having a finger portion;
the pressure sensor is used for detecting the pressure value at the finger tip of the finger part in real time;
a bending angle sensor for detecting the degree of bending of the finger part in real time;
and the central processing unit is in communication connection with the pressure sensor and the finger bending angle detection sensor and is used for processing the pressure value and the degree of finger bending so as to obtain effective data subjected to denoising processing and transmitting the effective data to a doctor data end and a patient data end.
Optionally, the pressure sensor and the finger bending angle detection sensor are both self-driven sensors.
Optionally, the pressure sensor comprises an electrode layer, a friction layer, a spacer layer, a fibrous layer and a water-resistant coating;
the friction layer is formed on the upper surface of the electrode layer, the spacing layer is formed on the edge area of the upper surface of the friction layer, the fiber layer is formed above the spacing layer, the fiber layer deforms under external force, can be in contact with the friction layer when deformed, and is separated from the friction layer after the external force is removed, and the waterproof coating is formed on the upper surface of the fiber layer;
optionally, the friction layer is made of polydimethylsiloxane, and the electrode layer is made of carbon fiber;
optionally, the pressure sensor is knitted on the glove body by a knitting method;
optionally, the electrode layer is connected with the central processing unit through a wire; the pressure sensor is used for converting the pressure value into a voltage value and transmitting the voltage value to the central processing unit.
Optionally, the auxiliary rehabilitation device further comprises:
the data sending module is connected with the central processing unit;
and the power supply module is used for supplying power to the central processing unit and the data sending module.
Alternatively, the structure of the finger bending angle detection sensor is the same as that of the pressure sensor.
Optionally, the finger bending angle detection sensor is arranged at the back of the finger of the glove body, and covers two joints between the distal phalanx, the proximal phalanx and the metacarpal bone at the thumb and covers three joints between the distal phalanx, the middle phalanx, the proximal phalanx and the metacarpal bone at the other four fingers.
In particular, the present invention provides a assisted rehabilitation system for surgical rehabilitation training of the hand, comprising:
an assistive rehabilitation device as described above;
the patient data terminal is used for calculating effective data acquired by a central processing unit of the auxiliary rehabilitation device and visually displaying a calculation result on the patient data terminal;
and the doctor data terminal is used for calculating the effective data acquired by the central processing unit of the auxiliary rehabilitation device and visually displaying the calculation result on the doctor data terminal.
Optionally, the assisted rehabilitation system further comprises:
the cloud database is used for receiving the effective data sent by the central processing unit and storing the effective data;
optionally, the cloud database stores rehabilitation training knowledge.
Particularly, the invention also provides an auxiliary rehabilitation method for the rehabilitation training of the hand surgery, which utilizes the auxiliary rehabilitation system to perform auxiliary rehabilitation, and comprises the following steps:
collecting motion data of a user wearing a glove main body in a grabbing training process, wherein the motion data comprises pressure values at fingertips of finger parts of the glove main body and bending degree data of the finger parts;
processing the motion data and acquiring effective data subjected to denoising processing;
and transmitting the effective data to a doctor data end and a patient data end.
Optionally, the auxiliary rehabilitation method further comprises the following steps:
and calculating the effective data, and visually displaying the calculation result on the doctor data end and/or the patient data end.
The auxiliary rehabilitation device provided by the invention can help a patient to train regularly and specifically by arranging the pressure sensor and the finger bending angle detection sensor on the traditional pressure glove to acquire the active rehabilitation training time and real-time hand movement data of the patient.
In addition, the sensor module that is located gloves main part can combine the accurate gripping power, hold between the fingers power and the crooked degree of finger that really measure the patient when training at every turn of recovered equipment, and this is more accurate than the artifical record and the judgement of recovered hospital, can help the patient to formulate the recovered plan of next stage more effectively.
In addition, the main doctors can analyze the rehabilitation condition of each patient through the data of the doctor data terminal, and unnecessary review and inquiry are reduced. Meanwhile, the patient can see the daily rehabilitation progress condition and estimate the recovery time from the patient data end, and the psychological pressure of the patient can be relieved. Compared with the treatment of a rehabilitation hospital, the auxiliary rehabilitation system has the advantages of low cost, convenience in use and more accurate data acquisition.
The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.
Drawings
Some specific embodiments of the invention will be described in detail hereinafter, by way of illustration and not limitation, with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar elements or components. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale. In the drawings:
fig. 1 shows a schematic block diagram of an assisted rehabilitation apparatus for surgical rehabilitation training of the hand according to an embodiment of the present invention;
FIG. 2 shows a schematic block diagram of an assistive rehabilitation device for surgical rehabilitation training of the hand according to one embodiment of the present invention;
FIG. 3 shows a schematic block diagram of a pressure sensor according to one embodiment of the invention;
FIG. 4 illustrates a graph of voltage versus time detected by the pressure sensor at different pressures in accordance with one embodiment of the present invention;
FIG. 5 illustrates a graph of voltage versus time detected by the finger bend angle detection sensor at different finger bend angles in accordance with one embodiment of the present invention;
FIG. 6 shows a schematic block diagram of an assisted rehabilitation system for surgical rehabilitation training of the hand according to one embodiment of the present invention;
FIG. 7 shows a schematic block diagram of an assisted rehabilitation system for surgical rehabilitation training of the hand according to one embodiment of the present invention;
fig. 8 shows a schematic flow chart of a method of assisted rehabilitation based on an assisted rehabilitation system according to an embodiment of the invention.
In the figure: 1-auxiliary rehabilitation device, 11-glove body, 12-sensor module, 121-pressure sensor, 1211-electrode layer, 1212-friction layer, 1213-spacing layer, 1214-fiber layer, 1215-waterproof coating, 122-finger bending angle detection sensor, 13-central processing unit, 14-data transmission module, 15-power supply module, 2-doctor data terminal and 3-patient data terminal.
Detailed Description
Fig. 1 shows a schematic block diagram of an assisted rehabilitation apparatus for hand surgical rehabilitation training according to an embodiment of the present invention. Fig. 2 shows a schematic block diagram of an assisted rehabilitation apparatus for surgical rehabilitation training of the hand according to one embodiment of the present invention. As shown in fig. 1 to 2, the rehabilitation assisting apparatus 1 includes a glove body 11, a sensor module 12, and a central processor 13. The glove body 11 is intended to be worn by a user and has finger portions. The sensor module 12 includes a pressure sensor 121 and a finger bending angle detection sensor 122. The pressure sensor 121 is located at the finger tip of the glove body 11, and is used for detecting the pressure value received when the finger tip grips an object in real time. The finger bending angle detection sensor 122 is located at a finger joint of the glove body 11 for detecting the degree of finger bending in real time. The central processing unit 13 is in communication connection with the pressure sensor 121 and the finger bending angle detection sensor 122, and is configured to process the pressure value and the degree of finger bending, obtain the de-noised effective data, and transmit the effective data to the doctor data terminal 2 (see fig. 6) and the patient data terminal 3 (see fig. 6). The assisted rehabilitation device further comprises a data transmission module 14 and a power supply module 15. The data sending module 14 is connected to the central processing unit 13. The power module 15 is used for supplying power to the central processing unit 13 and the data transmission module 14. The power module 15, the central processing unit 13 and the data sending module 14 are of an integrated structure and are arranged on the wrist part of the glove.
The glove body 11 of the auxiliary rehabilitation device 1 is a pressure glove commonly used by hand surgery patients, and has the function of relieving edema of the patients. The pressure sensor 121 is arranged at the finger pulp position of the finger tip to detect the pressure value received when the finger tip grips an object in real time. The finger bending angle detection sensor 122 is arranged at the back of the finger, two joints between the distal phalanx, the proximal phalanx and the metacarpal bone are covered at the thumb, and three joints between the distal phalanx, the middle phalanx, the proximal phalanx and the metacarpal bone are covered at the other four fingers, so that the bending degree of the finger is detected in real time. The finger bending angle detection sensor 122 may be a gyroscope provided at an arbitrary position of each finger, and the bending angle of the finger joint may be indirectly read by the numerical value of the gyroscope.
In the middle and later period rehabilitation training of patients with hand dysfunction, the grip strength, the pinching force, the finger bending degree and the flexibility of hand joints are exercised mainly by the actions of grabbing, pinching and the like by means of auxiliary rehabilitation equipment.
In addition, the sensor module 12 on the auxiliary rehabilitation device can accurately and really measure the gripping force, the pinching force and the finger bending degree of the patient during each training in combination with the rehabilitation equipment, so that the manual recording and judgment of the rehabilitation hospital are more accurate, and the patient can be effectively helped to make a next-stage rehabilitation plan.
FIG. 3 shows a schematic block diagram of a pressure sensor according to one embodiment of the invention. As shown in fig. 3, each pressure sensor 121 includes an electrode layer 1211, a friction layer 1212, a spacer layer 1213, a fibrous layer 1214, and a waterproof coating 1215. The rubbing layer 1212 is formed on the upper surface of the electrode layer 1211. The spacer layer 1213 is formed at the edge area of the upper surface of the friction layer 1212. The fiber layer 1214 is formed over the spacer layer 1213, and the fiber layer 1214 is deformed by an external force and can contact the friction layer 1212 when deformed and be separated from the friction layer 1212 when the external force is removed. A water repellent coating 1215 is formed on the upper surface of the fibrous layer 1214. The electrode layer 1211 is connected to the cpu 13 through a wire. The pressure sensor 121 is used to convert the pressure value into a voltage value and transmit the voltage value to the cpu 13.
In one embodiment, the material of the friction layer 1212 is polydimethylsiloxane and the material of the electrode layer 1211 is carbon fiber. The material of the spacing layer 1213 may be, for example, PU tape, the material of the fiber layer 1214 may be, for example, dacron, and the material of the waterproof coating 1215 may be, for example, ammonium perfluorooctanoate. The pressure sensor 121 is knitted on the glove body by a knitting method.
The pressure sensor 121 is a self-driven pressure sensor 121, i.e. it does not require an external power supply to supply power thereto. The principle of the pressure sensor 121 for detecting pressure is as follows: when external pressure is applied to the waterproof coating 1215 of the pressure sensor 121, the fiber layer 1214 is deformed accordingly due to the external force. At this time, the fiber layer 1214 rubs against the friction layer 1212, and when the external pressure is removed, the fiber layer 1214 and the friction layer 1212 are separated, in which process electric charges are generated and the potential difference is caused to change. When the external force changes, the potential difference also changes, so that current is generated, and the purpose of self-driving is achieved. Meanwhile, the purpose of monitoring the pressure can be achieved by measuring the potential difference, namely the voltage.
The finger bending angle detection sensor 122 has the same structure as the pressure sensor 121, and is not described in detail here.
FIG. 4 shows a graph of voltage versus time detected by the pressure sensor at different pressures, according to one embodiment of the present invention. As shown in fig. 4, as the external pressure gradually increases, the detected voltage value gradually increases, and a pressure value of 0.05N can be detected.
FIG. 5 shows a graph of voltage versus time detected by the finger bend angle detection sensor at different finger bend angles in accordance with one embodiment of the present invention. As shown in fig. 5, the detected voltage value gradually increases with the gradual increase in the finger bending angle, and a finger bending angle of 15 ° can be detected.
Therefore, the pressure sensor and the finger bending angle detection sensor have high sensitivity, and can accurately detect the finger movement of the patient.
Fig. 6 shows a schematic block diagram of an assisted rehabilitation system for hand surgical rehabilitation training according to an embodiment of the present invention. Fig. 7 shows a schematic block diagram of an assisted rehabilitation system for surgical rehabilitation training of the hand according to an embodiment of the present invention. As shown in fig. 6 and 7, the rehabilitation assisting system includes a rehabilitation assisting apparatus 1, a doctor data terminal 2 and a patient data terminal 3. The auxiliary rehabilitation device 1 is used for collecting pressure values and finger bending degrees when a patient grasps an object, processing the pressure values and the finger bending degrees to acquire effective data, and transmitting the effective data to the doctor data terminal 2 and the patient data terminal 3. The doctor data terminal 2 calculates the valid data and displays the calculation result in the doctor data terminal 2 in a visualized manner. The patient data end 3 is used for calculating the effective data and visually displaying the calculation result on the patient data end 3.
The calculation results include, but are not limited to, training details and estimated recovery time, wherein the estimated recovery time is completed by an artificial intelligence algorithm based on patient big data in a database and combining patient and injury characteristics.
The auxiliary rehabilitation system further comprises a cloud database, wherein the cloud database is used for receiving effective data sent by the central processing unit 13 and storing rehabilitation training knowledge.
In addition, the main doctor can analyze the rehabilitation condition of each patient through the data of the doctor data terminal 2, and unnecessary review and inquiry are reduced. Meanwhile, the patient can see the daily rehabilitation progress condition and forecast the healing time from the patient data terminal 3, and the psychological stress of the patient can be relieved. Compared with the treatment of a rehabilitation hospital, the auxiliary rehabilitation system has the advantages of low cost, convenience in use and more accurate data acquisition.
In one embodiment, the doctor data terminal 2 in the rehabilitation assistance system is a desktop terminal for doctors, such as a server. The patient data terminal 3 may be a mobile client, for example.
Fig. 8 shows a schematic flow chart of a method of assisted rehabilitation based on an assisted rehabilitation system according to an embodiment of the invention. As shown in fig. 8, the auxiliary rehabilitation method includes:
step S100, collecting action data of a user wearing a glove main body in a grabbing training process, wherein the action data comprises pressure values at fingertips of fingers of the glove main body and bending degree data of the fingers;
step S200, processing the motion data and acquiring effective data subjected to denoising processing;
and step S300, transmitting the effective data to a doctor data end and a patient data end.
The method comprises the following specific steps: the patient data end is connected with the cloud database, receives rehabilitation training knowledge sent by the user, and guides the user to perform grabbing training according to the rehabilitation training knowledge; the method comprises the following steps that a pressure sensor and a finger bending angle detection sensor acquire action data of a user in a grabbing training process; the central processing unit processes the action data and obtains effective data, and the effective data are transmitted to the cloud database and are simultaneously transmitted to the doctor data terminal and the patient data terminal; and calculating the effective data, and visually displaying the calculation result on a doctor data end and/or a patient data end.
In particular use, for ease of understanding the present invention, the following description is made in conjunction with training examples: after the patient mobile client reminds the user to perform active training according to the set rehabilitation training time, starting the patient and establishing wireless connection with the cloud database through the wireless module; the patient carries out correct actions such as pinching, grabbing and the like on the rehabilitation training equipment on the desktop according to the rehabilitation training knowledge, and the sensor module is responsible for grabbing action data; after the single training is finished, the central processing unit processes and packages the effective data, transmits the effective data to the cloud through the data transmission module, and transmits the effective data to a doctor desktop end of a main doctor and a mobile client end of a patient; the main doctor desktop end and the patient mobile client end visually display the patient training data through an algorithm, show training details and estimate recovery time.
Other features of the method correspond to those of the above-described assisted rehabilitation system, and are not described in detail here.
Thus, it should be appreciated by those skilled in the art that while a number of exemplary embodiments of the invention have been illustrated and described in detail herein, many other variations or modifications consistent with the principles of the invention may be directly determined or derived from the disclosure of the present invention without departing from the spirit and scope of the invention. Accordingly, the scope of the invention should be understood and interpreted to cover all such other variations or modifications.
Claims (10)
1. An assistive rehabilitation device for hand surgery rehabilitation training, comprising:
a glove body for wearing by a user, having a finger portion;
the pressure sensor is used for detecting the pressure value at the finger tip of the finger part in real time;
a bending angle sensor for detecting the degree of bending of the finger part in real time;
and the central processing unit is in communication connection with the pressure sensor and the finger bending angle detection sensor and is used for processing the pressure value and the degree of finger bending so as to obtain effective data subjected to denoising processing and transmitting the effective data to a doctor data end and a patient data end.
2. The assistive rehabilitation device according to claim 1, wherein the pressure sensor and the finger bending angle detection sensor are both self-driven sensors.
3. The assistive rehabilitation device according to claim 2, wherein the pressure sensor includes an electrode layer, a friction layer, a spacer layer, a fibrous layer, and a waterproof coating layer;
the friction layer is formed on the upper surface of the electrode layer, the spacing layer is formed on the edge area of the upper surface of the friction layer, the fiber layer is formed above the spacing layer, the fiber layer deforms under external force, can be in contact with the friction layer when deformed, and is separated from the friction layer after the external force is removed, and the waterproof coating is formed on the upper surface of the fiber layer;
optionally, the friction layer is made of polydimethylsiloxane, and the electrode layer is made of carbon fiber;
optionally, the pressure sensor is knitted on the glove body by a knitting method;
optionally, the electrode layer is connected with the central processing unit through a wire; the pressure sensor is used for converting the pressure value into a voltage value and transmitting the voltage value to the central processing unit.
4. The assistive rehabilitation device according to claim 3, further comprising:
the data sending module is connected with the central processing unit;
and the power supply module is used for supplying power to the central processing unit and the data sending module.
5. The rehabilitation assisting device according to claim 3 or 4, wherein the structure of the finger bending angle detection sensor is the same as that of the pressure sensor.
6. The rehabilitation-assisting device according to any one of claims 1 to 4, wherein the finger-bending-angle detecting sensor is provided at a dorsal digital position of the glove body, covering two joints between the distal phalanx, the proximal phalanx and the metacarpal bone at a thumb, and covering three joints between the distal phalanx, the middle phalanx, the proximal phalanx and the metacarpal bone at the remaining four fingers.
7. An assisted rehabilitation system for surgical rehabilitation training of the hand, comprising:
the assistive rehabilitation device according to any one of claims 1 to 6;
the patient data terminal is used for calculating effective data acquired by a central processing unit of the auxiliary rehabilitation device and visually displaying a calculation result on the patient data terminal;
and the doctor data terminal is used for calculating the effective data acquired by the central processing unit of the auxiliary rehabilitation device and visually displaying the calculation result on the doctor data terminal.
8. The assisted rehabilitation system according to claim 7, further comprising:
the cloud database is used for receiving the effective data sent by the central processing unit and storing the effective data;
optionally, the cloud database stores rehabilitation training knowledge.
9. An assisted rehabilitation method for rehabilitation training of hand surgery, characterized in that the assisted rehabilitation is carried out by using the assisted rehabilitation system of claim 7 or 8, comprising the steps of:
collecting motion data of a user wearing a glove main body in a grabbing training process, wherein the motion data comprises pressure values at fingertips of finger parts of the glove main body and bending degree data of the finger parts;
processing the motion data and acquiring effective data subjected to denoising processing;
and transmitting the effective data to a doctor data end and a patient data end.
10. The assisted rehabilitation method according to claim 9, further comprising the steps of:
and calculating the effective data, and visually displaying the calculation result on the doctor data end and/or the patient data end.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010251791.0A CN111436942A (en) | 2020-04-01 | 2020-04-01 | Auxiliary rehabilitation device, system and method for hand surgery rehabilitation training |
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| CN202010251791.0A CN111436942A (en) | 2020-04-01 | 2020-04-01 | Auxiliary rehabilitation device, system and method for hand surgery rehabilitation training |
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| CN111436942A true CN111436942A (en) | 2020-07-24 |
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| CN202010251791.0A Pending CN111436942A (en) | 2020-04-01 | 2020-04-01 | Auxiliary rehabilitation device, system and method for hand surgery rehabilitation training |
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| CN (1) | CN111436942A (en) |
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| CN113144535A (en) * | 2021-04-30 | 2021-07-23 | 扬州大学 | But hand rehabilitation training system of remote monitoring |
| CN114052716A (en) * | 2021-11-19 | 2022-02-18 | 燕山大学 | Wearable finger joint angle displacement data synchronous acquisition system |
| CN114669025A (en) * | 2022-04-06 | 2022-06-28 | 山东第一医科大学附属省立医院(山东省立医院) | Coronary heart disease PCI postoperative finger trainer and use method thereof |
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| CN112905002A (en) * | 2021-01-19 | 2021-06-04 | 济南超感智能科技有限公司 | Intelligent device and method for detecting bone setting manipulation data |
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Application publication date: 20200724 |