CN219940612U - Wearable sensor equipment for auxiliary detection of knee osteoarthritis - Google Patents
Wearable sensor equipment for auxiliary detection of knee osteoarthritis Download PDFInfo
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- CN219940612U CN219940612U CN202321188806.9U CN202321188806U CN219940612U CN 219940612 U CN219940612 U CN 219940612U CN 202321188806 U CN202321188806 U CN 202321188806U CN 219940612 U CN219940612 U CN 219940612U
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- 208000003947 Knee Osteoarthritis Diseases 0.000 title claims abstract description 25
- 238000001514 detection method Methods 0.000 title claims abstract description 23
- 201000008482 osteoarthritis Diseases 0.000 title claims abstract description 19
- 210000002414 leg Anatomy 0.000 claims abstract description 43
- 210000000689 upper leg Anatomy 0.000 claims abstract description 13
- 244000309466 calf Species 0.000 claims abstract description 9
- 238000004891 communication Methods 0.000 claims abstract description 6
- 238000005070 sampling Methods 0.000 claims abstract description 4
- 239000013013 elastic material Substances 0.000 claims description 3
- 210000003127 knee Anatomy 0.000 abstract description 5
- 238000012360 testing method Methods 0.000 description 11
- 230000009471 action Effects 0.000 description 10
- 230000006870 function Effects 0.000 description 7
- 238000013399 early diagnosis Methods 0.000 description 5
- 210000003141 lower extremity Anatomy 0.000 description 5
- 238000007726 management method Methods 0.000 description 5
- 230000008901 benefit Effects 0.000 description 4
- 230000002146 bilateral effect Effects 0.000 description 4
- 210000001015 abdomen Anatomy 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 3
- 238000011156 evaluation Methods 0.000 description 3
- 210000003414 extremity Anatomy 0.000 description 3
- 238000011084 recovery Methods 0.000 description 3
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000003902 lesion Effects 0.000 description 2
- 229910052744 lithium Inorganic materials 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000012216 screening Methods 0.000 description 2
- 230000032683 aging Effects 0.000 description 1
- 238000004873 anchoring Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000007667 floating Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000000452 restraining effect Effects 0.000 description 1
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Abstract
The utility model relates to a wearable sensor device for assisted detection of knee osteoarthritis, comprising an operation module, a host module, a waist module and at least two leg modules; the leg module is provided with two multi-axis MEMS gyroscopes, which are used for being fixed on the legs of a subject, one multi-axis MEMS gyroscope is fixed at 1/3 of the middle part of the thighs to the near knee of the thighs of the subject, and the other multi-axis MEMS gyroscope is fixed at 1/3 of the middle part of the calves of the subject to the near knee of the calves; the waist module is provided with a multi-axis MEMS gyroscope which is used for being fixed on the waist of the subject and enabling the multi-axis MEMS gyroscope to be fixed on the lumbar of the subject; the host module is in communication connection with the multi-axis MEMS gyroscope on the waist module and the leg module, reads current angular velocity data of the multi-axis MEMS gyroscope at a set sampling frequency, adds corresponding time stamps for each sampled angular velocity data, and stores the sampled angular velocity data with the time stamps into a storage unit on the storage unit.
Description
Technical Field
The utility model relates to the technical field of medical equipment, in particular to wearable sensor equipment for auxiliary detection of knee osteoarthritis.
Background
The incidence and prevalence of osteoarthritis in China entering an aging society also tend to rise year by year, the quality of life of middle-aged and elderly people is seriously affected, and huge economic burden is caused to families and society. Therefore, it is important to normalize the diagnosis and treatment of osteoarthritis. The lesion causes are complex, and the screening index is incomplete; hidden onset and difficult early diagnosis. Furthermore, due to the non-uniform progress rule, the hierarchical diagnosis and treatment is generalized, and the identification and intervention are late, the diagnosis and treatment are not standard, the management is not in place, and the clinical outcome is poor. Therefore, there is a need for improving early recognition strategies and more convenient and rapid screening of early lesions.
Early diagnosis of osteoarthritis in the knee requires assistance from a range of motion tests including balance tests, walking ability tests, etc., but these tests can only be assessed with assistance from physician observations and limited objective data such as completion time.
There is therefore a need for improvements in the art.
Disclosure of Invention
The object of the embodiment of the utility model is to provide a wearable sensor device for auxiliary detection of knee osteoarthritis aiming at the defects of the prior art structure, wherein the wearable sensor device can assist in collecting more relevant data such as movement speed and the like in the action test of early diagnosis of knee osteoarthritis, and can accurately understand complex functional movements by evaluating kinematic features, so that the study kinematics is helpful for evaluating the functional recovery condition evaluation of a patient.
In order to achieve the above object, the wearable sensor device for auxiliary detection of knee osteoarthritis provided by the embodiment of the utility model is realized by the following technical scheme:
a wearable sensor device for assisted detection of knee osteoarthritis is characterized by comprising an operation module, a host module, a waist module for being worn on the waist of a subject and at least two leg modules for being worn on the legs of the subject; the leg module is provided with two multi-axis MEMS gyroscopes which are respectively positioned on the thigh and the shank of the subject when the leg module is worn on the leg of the subject; the waist module is provided with a multi-axis MEMS gyroscope, and the host module is in communication connection with the multi-axis MEMS gyroscopes on the waist module and the leg module and is provided with a storage unit; the operation module is connected with the host module in a wired or wireless mode.
The host module is fixedly arranged on the waist module.
The host module is fixedly arranged on the waist module.
The waist module is waistband-shaped, a box body is arranged on the waist module, and the multi-axis MEMS gyroscopes of the host module and the waist module are arranged in the box body.
The main machine module is also provided with a main control chip, an analog switch circuit and a clock chip circuit, and the main control chip is in control connection with the analog switch circuit and the clock chip circuit and respectively and sequentially reads the data of the multi-axis MEMS gyroscope through switching the analog switch circuit according to a set sampling frequency.
The host module is also provided with a display unit and a power management unit, and the storage unit is a TF card interface circuit; the main control chip is in control connection with the display unit and the power management unit, and the display unit is arranged on the outer side surface of the box body; in addition, the operation module is a handle connected with the host module in a wired or Bluetooth mode.
The leg module comprises an elastic sleeve, and the two multi-axis MEMS gyroscopes are arranged at the upper end and the lower end of the elastic sleeve.
The wearable sensor device comprises a plurality of pairs of leg modules with different overall dimensions, and each pair of leg modules comprises two leg modules with the same overall dimensions and the same setting position of the multi-axis MEMS gyroscope.
The elastic sleeve is also provided with a zipper which can be disassembled into a sheet shape.
The number of the leg modules is two, and the leg modules comprise two constraint ends and a connecting part connected between the constraint ends; the two binding ends are respectively provided with a multi-axis MEMS gyroscope which can respectively bind thighs and calves of a subject; the connecting part is in a sheet shape or a strip shape made of elastic materials.
The binding end comprises an elastic belt which is bonded into a ring shape through a magic tape.
Compared with the prior art, the utility model has the beneficial effects that:
the utility model provides a wearable sensor device for auxiliary detection of knee osteoarthritis, which comprises 5 MEMS gyroscope sensors respectively worn at the caudal vertebra, the bilateral thighs and the bilateral calves, and can construct a reference coordinate system of a lower limb more completely so as to further express the motion state of the lower limb. The waist sensor is integrated on the main board, is worn on the waist together with the battery through the shell with the waistband, and the other four sensors are respectively provided with the shell with the binding bands for repeated wearing.
Through the design, the wearable sensor device can collect more relevant data such as movement speed and the like in the action test of early diagnosis of knee osteoarthritis, and can accurately understand complex functional movements by evaluating the kinematic characteristics, so that the research kinematics is helpful for evaluating the functional recovery condition evaluation of a patient.
Drawings
The above features and advantages of the present utility model will become more apparent and readily appreciated from the following description of exemplary embodiments thereof, taken in conjunction with the accompanying drawings.
FIG. 1 is a structural frame diagram of a wearable sensor apparatus for knee osteoarthritis aiding detection of embodiment 1 of the present utility model;
fig. 2 is a schematic diagram showing the wearing state of the wearable sensor apparatus for auxiliary detection of knee osteoarthritis according to embodiment 1 of the present utility model.
Detailed Description
Other advantages and advantages of the present utility model will become apparent to those skilled in the art from the following detailed description, which, by way of illustration, is to be read in connection with certain specific embodiments, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the utility model without making any inventive effort, are intended to be within the scope of the utility model.
The terms such as "front", "rear", "left", "right", "inner", "outer", and the like, as used in the present specification, are also for descriptive purposes only and are not intended to limit the scope of the utility model in which the utility model may be practiced, but rather the relative relationship of the terms may be altered or modified without materially altering the skill of the art to which the utility model pertains.
In the description of the embodiments below, unless explicitly specified and limited otherwise, the term "coupled" and the like should be construed broadly, and for example, "coupled" may be either fixedly coupled, detachably coupled, or integrally formed; either mechanically or indirectly, through intermediaries, or in communication with each other, or in interaction with each other, unless otherwise specifically defined. The specific meaning of the above terms in the present utility model can be understood by those of ordinary skill in the art according to the specific circumstances.
Example 1:
as shown in fig. 1 and 2, an embodiment of the present utility model proposes a wearable sensor device for assisted detection of knee osteoarthritis, comprising an operation module 3, a host module 1 and two leg modules 2.
Leg module 2
The leg module 2 is of unitary construction comprising two tie-down ends 21 and a connection 22 between the tie-down ends 21. The restraint ends 21 are each provided with a multi-axis MEMS gyroscope 23 capable of restraining the subject's thighs and calves, respectively. In this embodiment 1, the tie-down end 21 comprises an elastic band which is adhered to be annular by a velcro, and the elastic band is further provided with a tie-down band in order to increase the firmness of fixation.
The connecting portion 22 is in the form of a sheet or strip made of an elastic material, and is adaptable to patients of different heights and weights.
When the leg module 2 is fixed to the subject's leg, one of the multi-axis MEMS gyroscopes 23 is fixed at 1/3 of the subject's mid-thigh to near-knee, the other multi-axis MEMS gyroscope 23 is fixed at 1/3 of the subject's mid-calf to near-knee, and both of the multi-axis MEMS gyroscopes 23 are provided outside the subject's leg. In the preferred embodiment, two multi-axis MEMS gyroscopes 23 are provided at 1/3 of the thigh/calf near the knee, respectively.
The purpose of this arrangement is: the limbs of the human body can be regarded as a stick-shaped rigid body, and the multi-axis MEMS gyroscope 23 is placed in the middle of the rigid body when being positioned at a more ideal position, so that the comparison of the position angles between the two sensors is facilitated to be calculated, and the joint angle is calculated. Of course, this position is not necessarily an exact midpoint, and the multi-axis MEMS gyroscope 23 of the leg is disposed at 1/3 position from the middle of the thigh/calf to the near knee, which is good in consideration of multiple factors such as accuracy of data measurement, convenience of subsequent test actions of the subject, and easiness of fixation. While the multi-axis MEMS gyroscope 23 is placed outside the limb for comfort of use.
Host module 1
The host module 1 comprises a waistband 11 for binding on the waist of a subject, and a box 12 detachably arranged on the waistband 11. A multi-axis MEMS gyroscope, a memory unit, a main control chip, an analog switch circuit, a clock chip circuit, a display unit and a power management unit are disposed in the case 12.
The case 12 is secured to the abdomen of the subject for anchoring the position of the calibration limb and hip angle when the host module 1 is worn on the waist of the subject. The advantage of the cassette 12 being provided in the abdomen of the subject is that: 1. the user can conveniently wear the device by himself, and the user can automatically determine that the host is positioned on the center axis of the body; 2. the screen is convenient for the subject to watch; 3. the subject is more comfortable to sit down than to sit down, and is also more conducive to activity.
The main function of the host module 1 is to connect with the multi-axis MEMS gyroscope on the host module 1 and the multi-axis MEMS gyroscope 23 on the leg module 2 in a communication manner, to read the current angular velocity data of the multi-axis MEMS gyroscope at a set sampling frequency, to add a corresponding time stamp to each sampled angular velocity data, and to store the sampled angular velocity data with the time stamp to the storage unit.
In a specific embodiment:
the main control chip selects a low-power consumption MCU adopting an STM, and the model is STM32L071RBT6. The TF card interface adopts an SPI interface of the MCU to be matched with a TF card seat of the TF-01A. Because the data record needs to be time stamped, a high-precision clock chip is mounted on the board, the annual error is within one minute, and the model of the clock chip is SD3078.
The multi-axis MEMS gyroscope is an MPU6050 six-axis MEMS sensor of InvenSense company, 5 MEMS sensors cannot communicate with a main control chip at the same time because the MPU6050 six-axis MEMS sensor is an IIC interface, and therefore an analog switch circuit is adopted to communicate with the main control chip in a time sharing way, and the model of the analog switch chip is CD4052BM/TR.
The inherent structural characteristics of a multi-axis MEMS sensor determine its data variability in different detection dimensions (based on X/Y/Z three-axis coordinates), particularly in different axial directions, with significant differences in measurement accuracy and with different degrees of data drift (i.e., data floating when there is no motion). Generally, the data precision of the X axis of the corresponding chip is best, the data drift amount is smaller, and the second Y axis is the worst Z axis. Therefore, when designing the wearing mode, we apply the X-axis to analyze the most dominant motion plane of the lower limb, and form the sagittal plane together with the Y-axis, and the Z-axis describes the last degree of freedom.
The power management is divided into a charging circuit, a voltage acquisition function, an overvoltage and undervoltage protection function and an LDO circuit, a charging function chip adopts TP4056, charging current is set at 50ma through an external resistor, and the charging function chip has a charging state display function. The voltage is directly sampled and calculated by the MCU after the voltage is divided by adopting resistors in series. The overvoltage and undervoltage protection function is a lithium battery integrated protection circuit. The LDO circuit chip adopts SGM2019-3.3YN5G/TR to convert the voltage of the lithium battery into 3.3V voltage for the main control chip, wherein the power switch is connected to the enabling end of the chip, so as to control whether the main control works or not.
The status display of the device uses 0.96 inch OLED, thereby realizing low power consumption and highlighting. The OLED displays the battery voltage, TF card state, sensor state, running state and system time.
At the time of data acquisition: the main control chip sequentially reads the data of the five MPU6050 six-axis MEMS sensors respectively by switching the analog switch at regular time (100 ms), the time for reading the five MPU6050 six-axis MEMS sensors is 5ms, and the data are spliced after the data of the MPU6050 six-axis MEMS sensors are read out and converted into character strings.
At the time of data storage: after the data of the five MPU6050 six-axis MEMS sensors are converted into character strings, the character strings are assembled according to corresponding formats and stored in a cache of an MCU, when the number of the acquired data bytes is greater than 400 bytes, the TF card is written once, and the data are written in a file mode when the data are written, so that the windows system can read the data directly.
Operating module 3
The operation module 3 is connected to the host module 1 in a wired or wireless manner, and in this embodiment 1, the operation module 3 is a wired handle.
The data acquisition steps of the equipment structure are as follows:
1. the patient wears the device according to the direction of doctors, and the specific method is as follows:
the main machine module 1 is partially worn on the waist of a subject, the box body 12 is arranged on the abdomen and the axis of the body of the subject, and the screen is exposed.
The leg module 2 is worn such that the thigh sensor and the shank sensor are located on the sides of the thigh and the shank, respectively.
The multi-axis MEMS gyroscopes on the host module 1 and the leg module 2 are connected in communication.
2. Preparation test
The medical staff presses the button on the handle to start recording the first action, and the patient completes the actions successively according to the explanation of the doctor.
And when one action is finished, the medical staff presses the handle button, the buzzer sounds one sound to indicate that the previous action is finished, the next action is waited to start recording, the steps are repeated until all the test actions are finished, and data collection is finished.
Example 2:
the main difference between this embodiment 2 and embodiment 1 is that the leg module adopts a different structure.
In this embodiment 2, the leg module includes one elastic sleeve, and two multi-axis MEMS gyroscopes are provided at the upper and lower ends of the elastic sleeve.
While the wearable sensor device comprises a plurality of pairs of leg modules of different overall dimensions, each pair of leg modules comprising two leg modules of identical overall dimensions and multi-axis MEMS gyroscope setup positions. Thereby adapting to patients of different height and weight.
In addition, in order to facilitate the wearing of patients, the testing efficiency is improved, and the elastic sleeve is also provided with a zipper which can be disassembled into a sheet shape.
Compared with the prior art, the utility model has the beneficial effects that:
the utility model provides a wearable sensor device for auxiliary detection of knee osteoarthritis, which comprises 5 MEMS gyroscope sensors respectively worn at the caudal vertebra, the bilateral thighs and the bilateral calves, and can construct a reference coordinate system of a lower limb more completely so as to further express the motion state of the lower limb. The waist sensor is integrated on the main board, is worn on the waist together with the battery through the shell with the waistband, and the other four sensors are respectively provided with the shell with the binding bands for repeated wearing.
Through the design, the wearable sensor device can collect more relevant data such as movement speed and the like in the action test of early diagnosis of knee osteoarthritis, and can accurately understand complex functional movements by evaluating the kinematic characteristics, so that the research kinematics is helpful for evaluating the functional recovery condition evaluation of a patient.
While the intent and embodiments of the present utility model have been described in detail by way of examples, those skilled in the art to which the utility model pertains will appreciate that the foregoing examples are merely illustrative of the preferred embodiments of the present utility model, and that it is not intended to list all embodiments individually and that any implementation embodying the technical scheme of the present utility model is within the scope of the present utility model.
It should be noted that the above description of the present utility model is further detailed in connection with the specific embodiments, and it should not be construed that the specific embodiments of the present utility model are limited thereto, and those skilled in the art can make various improvements and modifications on the basis of the above-described embodiments while falling within the scope of the present utility model.
Claims (10)
1. A wearable sensor device for assisted detection of knee osteoarthritis is characterized by comprising an operation module, a host module, a waist module for being worn on the waist of a subject and at least two leg modules for being worn on the legs of the subject; the leg module is provided with two multi-axis MEMS gyroscopes which are respectively positioned on the thigh and the shank of the subject when the leg module is worn on the leg of the subject; the waist module is provided with a multi-axis MEMS gyroscope, and the host module is in communication connection with the multi-axis MEMS gyroscopes on the waist module and the leg module and is provided with a storage unit; the operation module is connected with the host module in a wired or wireless mode.
2. A wearable sensor apparatus for assisted detection of osteoarthritis of the knee as claimed in claim 1, wherein: the host module is fixedly arranged on the waist module.
3. A wearable sensor apparatus for assisted detection of osteoarthritis of the knee as claimed in claim 2, wherein: the waist module is waistband-shaped, a box body is arranged on the waist module, and the multi-axis MEMS gyroscopes of the host module and the waist module are arranged in the box body.
4. A wearable sensor apparatus for assisted detection of osteoarthritis of the knee as claimed in claim 3, wherein: the main machine module is also provided with a main control chip, an analog switch circuit and a clock chip circuit, and the main control chip is in control connection with the analog switch circuit and the clock chip circuit and respectively and sequentially reads the data of the multi-axis MEMS gyroscope through switching the analog switch circuit according to a set sampling frequency.
5. A wearable sensor apparatus for assisted detection of osteoarthritis of the knee as claimed in claim 4, wherein: the host module is also provided with a display unit and a power management unit, and the storage unit is a TF card interface circuit; the main control chip is in control connection with the display unit and the power management unit, and the display unit is arranged on the outer side surface of the box body; in addition, the operation module is a handle connected with the host module in a wired or Bluetooth mode.
6. A wearable sensor apparatus for assisted detection of osteoarthritis of the knee as claimed in any one of claims 1 to 5, wherein: the leg module comprises an elastic sleeve, and the two multi-axis MEMS gyroscopes are arranged at the upper end and the lower end of the elastic sleeve.
7. A wearable sensor apparatus for assisted detection of osteoarthritis of the knee as claimed in claim 6, wherein: the wearable sensor device comprises a plurality of pairs of leg modules with different overall dimensions, and each pair of leg modules comprises two leg modules with the same overall dimensions and the same setting position of the multi-axis MEMS gyroscope.
8. A wearable sensor apparatus for assisted detection of osteoarthritis of the knee as claimed in claim 7, wherein: the elastic sleeve is also provided with a zipper which can be disassembled into a sheet shape.
9. A wearable sensor apparatus for assisted detection of osteoarthritis of the knee as claimed in any one of claims 1 to 5, wherein: the number of the leg modules is two, and the leg modules comprise two constraint ends and a connecting part connected between the constraint ends; the two binding ends are respectively provided with a multi-axis MEMS gyroscope which can respectively bind thighs and calves of a subject; the connecting part is in a sheet shape or a strip shape made of elastic materials.
10. A wearable sensor apparatus for assisted detection of osteoarthritis of the knee as claimed in claim 9, wherein: the binding end comprises an elastic belt which is bonded into a ring shape through a magic tape.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202321188806.9U CN219940612U (en) | 2023-05-17 | 2023-05-17 | Wearable sensor equipment for auxiliary detection of knee osteoarthritis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202321188806.9U CN219940612U (en) | 2023-05-17 | 2023-05-17 | Wearable sensor equipment for auxiliary detection of knee osteoarthritis |
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| Publication Number | Publication Date |
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| CN219940612U true CN219940612U (en) | 2023-11-03 |
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| CN202321188806.9U Active CN219940612U (en) | 2023-05-17 | 2023-05-17 | Wearable sensor equipment for auxiliary detection of knee osteoarthritis |
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- 2023-05-17 CN CN202321188806.9U patent/CN219940612U/en active Active
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