A wearable gait data collection device

Abstract

The utility model provides a kind of wearable gait data acquisition equipment, comprising: braces trousers, for wearing on human body;And at least three sensors, respectively being set in different positions of braces trousers, with human body, for collecting gait data, wherein, sensor is three, respectively first sensor, second sensor and third sensor, first sensor is set in the position of braces trousers corresponding hip, second sensor is set in the position of braces trousers corresponding left leg, third sensor is set in the position of braces trousers corresponding right leg.The utility model is set by braces trousers and three sensors, so that equipment is wearable and close to human body, can be well realized gait data acquisition, to carry out gait analysis, in non-invasive case improve the accuracy of knee osteoarthritis diagnosis, simple operation, cost is lower.

Description

Technical Field

[0001] This utility model relates to the field of gait data acquisition technology, specifically to a wearable gait data acquisition device. Background Technology

[0002] The knee joint is the largest joint in the human body. In a normal knee joint structure, the stress inside the joint is evenly distributed. If various factors cause an imbalance in the internal forces of the knee joint, the articular cartilage may be damaged, and a series of activities of normal gait cannot be completed smoothly, resulting in abnormal gait.

[0003] Whether normal or abnormal, the kinematic characteristics of the knee joint, such as angles and displacements, typically exhibit complex fluctuations between steps, displaying significant nonlinear properties. Modern research generally considers the human gait system to be a complex, nonlinear, time-varying active system—a highly nonlinear composite of multiple units—with gait signals exhibiting nonlinear dynamic characteristics. Therefore, using nonlinear dynamic characteristics to detect and analyze gait signal data is a future trend. Studies have found that the nonlinear dynamic characteristics of gait signals in patients with different types of knee joint diseases change significantly, and the nonlinear dynamic characteristics of gait in patients with knee osteoarthritis differ significantly from those in healthy individuals.

[0004] Currently, improving the accuracy of knee osteoarthritis (KOA) diagnosis and the efficacy of surgery are increasingly becoming the focus of clinicians. Magnetic resonance imaging (MRI) is the best imaging diagnostic method, and arthroscopic surgery is the "gold standard" for diagnosing and treating KOA. However, both have certain drawbacks. For example, both are relatively expensive; arthroscopic surgery is an invasive procedure; patients with pacemakers or certain metallic foreign bodies cannot undergo MRI examinations; and most MRI machines have relatively enclosed examination spaces and relatively long scanning times. While radiographic imaging can analyze and examine the extent and severity of damage within the knee joint, many patients with mild KOA do not show obvious abnormalities on radiographic imaging in the early stages of the disease, yet their gait patterns already exhibit variations different from those of normal healthy individuals. This reveals the superiority of gait analysis technology in the early diagnosis of KOA, while also offering advantages such as ease of operation and implementation, cost-effectiveness, time-saving, and non-invasive detection.

[0005] Therefore, the key technical challenge is how to better collect gait data through wearable devices, thereby complementing intelligent assessment methods after total knee arthroplasty to further improve the accuracy of knee osteoarthritis diagnosis. Utility Model Content

[0006] This invention was developed to solve the above-mentioned problems, and its purpose is to provide a wearable gait data acquisition device.

[0007] This utility model provides a wearable gait data acquisition device, characterized by including: overalls for wearing on the human body; and at least three sensors respectively disposed at different positions on the overalls, fitting snugly against the human body, for collecting gait data. The three sensors are a first sensor, a second sensor, and a third sensor. The first sensor is disposed on the overalls at a position corresponding to the pelvis (L4-L5 vertebrae), the second sensor is disposed on the overalls at a position corresponding to the outer side of the left leg, and the third sensor is disposed on the overalls at a position corresponding to the outer side of the right leg.

[0008] The wearable gait data acquisition device provided by this utility model may also have the following features: the sensor is WT9011G4K, which integrates a three-axis accelerometer, a three-axis gyroscope and a three-axis magnetometer.

[0009] The wearable gait data acquisition device provided by this utility model may also have the following feature: the overalls are provided with elastic pockets for fixing sensors.

[0010] The wearable gait data acquisition device provided by this utility model may also have the following feature: the overalls are made of 70-90 wt% spandex and 10-30 wt% nylon.

[0011] The wearable gait data acquisition device provided by this utility model may also include: a central control unit, which is mounted on the overalls and connected to the sensor via a data cable for receiving gait data.

[0012] The wearable gait data acquisition device provided by this utility model may also have the following feature: the central control unit is set at the position of the pelvis corresponding to the overalls.

[0013] The wearable gait data acquisition device provided by this utility model may also have the following features: the central control unit includes: a housing, comprising an upper shell and a lower shell that cooperate with each other, the upper shell being provided with heat dissipation holes, and the lower shell being provided with a charging port, an LED display port, a rechargeable lithium battery mounting slot, and a limiting part; a PCB circuit board, integrating an STM32F103C8T6 processor, a power management module, an HC-05 Bluetooth module, and a first sensor for transmitting gait data; and a rechargeable lithium battery, installed in the rechargeable lithium battery mounting slot, for powering the central control unit.

[0014] The wearable gait data acquisition device provided by this utility model may also have the following feature: wherein the limiting part is used to limit the position of the PCB circuit board, including an inner limiting post and a hook.

[0015] The wearable gait data acquisition device provided by this utility model may also have the following features: there are four inner limiting posts, which are respectively set in the four corners of the lower shell, and four circular holes are respectively set in the four corners of the PCB circuit board, which cooperate with the four inner limiting posts.

[0016] Functions and effects of utility models

[0017] According to the present invention, a wearable gait data acquisition device is designed with overalls and three sensors, making the device wearable and close to the human body. It can effectively collect gait data and perform gait analysis, thereby improving the accuracy of knee osteoarthritis diagnosis in a non-invasive manner. The device is simple to operate and has a low cost. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the structure of a wearable gait data acquisition device in an embodiment of this utility model;

[0019] Figure 2 This is a schematic diagram of the structure of the central control unit in an embodiment of this utility model;

[0020] Figure 3 This is a schematic diagram of the lower shell structure in an embodiment of this utility model; and

[0021] Figure 4 This is a schematic diagram of the structure of the lower shell with a PCB board mounted in an embodiment of this utility model. Detailed Implementation

[0022] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection, an electrical connection, or a connection that allows communication between them; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication between two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0023] To make the technical means, creative features, objectives and effects of this utility model easy to understand, the following embodiments, in conjunction with the accompanying drawings, will specifically illustrate the wearable gait data acquisition device of this utility model.

[0024] Figure 1 This is a schematic diagram of the structure of a wearable gait data acquisition device in an embodiment of this utility model.

[0025] like Figure 1 As shown, the wearable gait data acquisition device 100 in this embodiment includes: overalls 10, three sensors, and a central control unit 30.

[0026] Overalls 10 are worn on the human body. Overalls 10 have elastic pockets 11 for securing sensors. Overalls 10 are made of 80 wt% spandex and 20 wt% nylon.

[0027] Three sensors are fitted to the human body and, through geometric modeling, derive the hip and knee joint angles to collect gait data. These sensors are a first sensor 20, a second sensor 21, and a third sensor 22. The first sensor 20 is positioned at the pelvic position corresponding to the overalls 10, the second sensor 21 is positioned at the left leg position corresponding to the overalls 10, and the third sensor 22 is positioned at the right leg position corresponding to the overalls 10.

[0028] The sensor is WT9011G4K, which integrates a three-axis accelerometer, a three-axis gyroscope, and a three-axis magnetometer.

[0029] Figure 2 This is a schematic diagram of the structure of the central control unit in an embodiment of this utility model. Figure 3 This is a schematic diagram of the lower shell structure in an embodiment of this utility model. Figure 4 This is a schematic diagram of the structure of the lower shell with a PCB board mounted in an embodiment of this utility model.

[0030] like Figure 2-4 As shown, the central control unit 30 is used to receive gait data. The central control unit 30 is located at the position corresponding to the pelvis of the overalls 10 and is connected to the sensor via a data cable 23. The data cable 23 is fixed by internal wiring and edge wrapping. The central control unit 30 is provided with a data cable hole 43 for the data cable 23 to pass through, to prevent the cable from moving and affecting the wearing experience and data collection.

[0031] The central control unit 30 includes a housing 31, a PCB circuit board 40, and a rechargeable lithium battery.

[0032] The housing 31 includes an upper housing 32 and a lower housing 34 that cooperate with each other. The upper housing 32 is provided with heat dissipation holes 33, and the lower housing 34 is provided with a charging port 35, an LED light display port 36, a rechargeable lithium battery mounting slot 41, and a limiting part 37.

[0033] The limiting part 37 is used to limit the position of the PCB circuit board 40, including PCB board limiting posts 42, inner limiting posts 38 and hooks 39. There are four inner limiting posts 38, which are respectively set at the four corners inside the lower shell 34. The four corners of the PCB circuit board 40 are respectively provided with four circular holes, which cooperate with the four inner limiting posts 38.

[0034] The PCB circuit board 40 integrates an STM32F103C8T6 processor, a power management module, an HC-05 Bluetooth module, and a first sensor 20 for transmitting gait data.

[0035] A rechargeable lithium battery is installed in the rechargeable lithium battery mounting slot 41 to power the central control unit 30.

[0036] The three sensors communicate with the STM32F103C8T6 processor via IIC to transmit data.

[0037] The role and effect of the embodiments

[0038] According to the present invention, a wearable gait data acquisition device is designed with overalls and three sensors, making the device wearable and close to the human body. It can effectively collect gait data and perform gait analysis, thereby improving the accuracy of knee osteoarthritis diagnosis in a non-invasive manner. The device is simple to operate and has a low cost.

[0039] The overalls in this invention are made of 80% spandex and 20% nylon, which have excellent elasticity and recovery. They can closely fit the body's curves, ensuring the stability of the garment structure while adapting to body movements. This makes it easy to fix the sensors, balancing functionality and comfort. The close fit also makes the sensor data collection more accurate.

[0040] In this invention, the data cable is fixed by internal wiring and edge wrapping, which can effectively prevent the cable from moving and affecting the wearing experience and data collection.

[0041] Those skilled in the art should understand that this utility model is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of this utility model. Various changes and modifications can be made to this utility model without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed utility model. The scope of protection of this utility model is defined by the appended claims and their equivalents.

Claims

1. A wearable gait data acquisition device, characterized in that, include: Overalls are designed to be worn on the human body. as well as At least three sensors are positioned at different locations on the overalls, fitting snugly against the body, to collect gait data. The sensor consists of three parts: a first sensor, a second sensor, and a third sensor. The first sensor is positioned on the pelvis corresponding to the overalls, the second sensor is positioned on the left leg corresponding to the overalls, and the third sensor is positioned on the right leg corresponding to the overalls.

2. The wearable gait data acquisition device according to claim 1, characterized in that: in, The sensor is a WT9011G4K, which integrates a three-axis accelerometer, a three-axis gyroscope, and a three-axis magnetometer.

3. The wearable gait data acquisition device according to claim 1, characterized in that: in, The overalls are equipped with elastic pockets for securing the sensor.

4. The wearable gait data acquisition device according to claim 3, characterized in that: in, The overalls are made of 70-90 wt% spandex and 10-30 wt% nylon.

5. The wearable gait data acquisition device according to claim 1, characterized in that, Also includes: The central control unit, mounted on the overalls, is connected to the sensor via a data cable and is used to receive the gait data.

6. The wearable gait data acquisition device according to claim 5, characterized in that: in, The central control unit is located at the position of the pelvis corresponding to the overalls.

7. The wearable gait data acquisition device according to claim 6, Its features are: in, The central control unit includes: The housing includes an upper shell and a lower shell that cooperate with each other. The upper shell is provided with heat dissipation holes, and the lower shell is provided with a charging port, an LED display port, a rechargeable lithium battery mounting slot, and a limiting part. The PCB integrates an STM32F103C8T6 processor, a power management module, an HC-05 Bluetooth module, and the first sensor for transmitting the gait data. as well as A rechargeable lithium battery is installed in the rechargeable lithium battery mounting slot to power the central control unit.

8. The wearable gait data acquisition device according to claim 7, characterized in that: in, The limiting part is used to limit the position of the PCB circuit board, and includes an inner limiting post and a hook.

9. The wearable gait data acquisition device according to claim 8, characterized in that: in, There are four inner limiting posts, which are respectively located at the four corners inside the lower shell. The PCB circuit board has four circular holes at its four corners, which cooperate with the four inner limiting posts.

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