Wearable device for form and position capture

By using wearable devices with flexion sensing and electromyography modules to assess dynamic force lines in real time during knee surgery, the problem of real-time assessment in existing technologies is solved, improving the precision and auxiliary effects of surgery.

CN224070440UActive Publication Date: 2026-04-03TONGJI HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
Filing Date
2025-01-02
Publication Date
2026-04-03

AI Technical Summary

Technical Problem

Current technology cannot obtain dynamic force line assessment in real time during knee surgery, which affects the accuracy and outcome of the surgery.

Method used

A wearable device is used, comprising an inner and outer layer of tights, with a sock at the bottom of the inner layer and a transmission device at the top of the outer layer. The inner and outer layers are made of spandex material. The inner layer contains a bending sensing module and an electromyography sensing module. Data is transmitted to a host computer via a wireless communication module. The host computer constructs a human body model to evaluate dynamic force lines.

Benefits of technology

It enables real-time dynamic force line assessment, improves surgical precision and auxiliary effects, and helps doctors understand the force line of the patient's lower limbs.

✦ Generated by Eureka AI based on patent content.

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Abstract

The utility model relates to the field of wearable devices, and discloses a wearable device for form and position capture, which comprises a leotard inner layer and a leotard outer layer, socks are arranged at the bottom of the leotard inner layer, a transmission device is fixedly connected to the top of the front side of the leotard outer layer, and the transmission device comprises a processor. An input end of the processor is electrically connected with a bending sensing module, an input end of the processor is electrically connected with a myoelectricity sensing module, and the input end of the processor is electrically connected with a power supply module. According to the utility model, muscle and joint data are acquired by the myoelectricity sensing module and the bending sensing module, the processor sends the data to the host through the wireless communication module I and the wireless communication module II, and the host constructs a human body model through software, so that the movement posture and the strength output of a human body can be known conveniently; the advantage that dynamic force line evaluation can be obtained in real time is achieved, and better operation assistance and operation effects can be obtained.
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Description

Technical Field

[0001] This utility model relates to the field of wearable devices, and more particularly to a wearable device for shape and position capture. Background Technology

[0002] The knee joint is an important weight-bearing joint in the human body. Osteoarthritis of the knee, which eventually occurs due to knee joint injury and degeneration, is one of the most common disabling diseases in the elderly worldwide. Epidemiological studies show that with the acceleration of population aging, knee osteoarthritis (KOA) will bring long-term economic and physical burdens to more than half of Chinese families. The clinical manifestations of this disease are pain when bearing weight and walking, which is relieved after rest. In the end stage, patients will become disabled due to pain, which will seriously affect the physical and mental health of the patients and their families.

[0003] Knee replacement surgery requires extremely precise osteotomy distances and angles. It is generally believed that the allowable error in the postoperative lower limb force line is ±3°. Therefore, accurate measurement of the force line has a significant impact on the surgical outcome. The vigorous development of existing technologies, including mechanical positioning, navigation positioning, and robot-assisted technology, has further improved surgical precision, but none of them can obtain real-time dynamic force line assessment, thus failing to achieve better surgical assistance and surgical results.

[0004] To address this issue, a wearable device for shape and position capture is proposed. Utility Model Content

[0005] To overcome the above shortcomings, this utility model provides a wearable device for shape and position capture, which aims to improve the problem that the prior art cannot obtain dynamic force line evaluation in real time.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] A wearable device for shape and position capture includes an inner layer of tights and an outer layer of tights, wherein a sock is provided at the bottom of the inner layer of tights, and a transmission device is fixedly connected to the top of the front of the outer layer of tights;

[0008] The transmission device includes a processor, an input terminal of which is electrically connected to a bending sensing module, an input terminal of which is electrically connected to an electromyography (EMG) sensing module, an input terminal of which is electrically connected to a power supply module, and an output terminal of which is electrically connected to a wireless communication module.

[0009] The output terminal of wireless communication module one is electrically connected to wireless communication module two, the output terminal of wireless communication module two is electrically connected to a host, and the output terminal of the host is electrically connected to a display.

[0010] As a further description of the above technical solution:

[0011] An elastic band is fixedly connected to the top of the outer surface of the leggings; the bending sensing module is fixedly connected to the inside of the inner layer of the leggings and the right side of the sock; and the electromyography sensing module is fixedly connected to the inside of the inner layer of the leggings and the inside of the sock.

[0012] As a further description of the above technical solution:

[0013] The power supply module is a lithium-ion battery;

[0014] As a further description of the above technical solution:

[0015] The bending sensing module is a bending sensor, and the electromyography sensing module is a surface electromyography sensor.

[0016] As a further description of the above technical solution:

[0017] Both wireless communication module one and wireless communication module two are wireless communication modules;

[0018] As a further description of the above technical solution:

[0019] The host is a computer host, and the display is an LCD screen.

[0020] This utility model has the following beneficial effects:

[0021] 1. In this utility model, muscle and joint data are acquired by the electromyography sensing module and the bending sensing module. The processor sends the data to the host through the wireless communication module one and the wireless communication module two. The host constructs a human body model through software, which facilitates understanding of the human body's movement posture and force output. It achieves the advantage of being able to obtain dynamic force line assessment in real time, which makes it easier for doctors to understand the force line of the patient's lower limbs and obtain better surgical assistance and surgical results.

[0022] 2. In this utility model, by using an elastic band, the top of the leggings can be tightened to prevent the inner layer of the leggings from falling off, thus improving the stability of the inner layer of the leggings. Attached Figure Description

[0023] Figure 1 This is a three-dimensional schematic diagram of a wearable device for shape and position capture proposed in this utility model;

[0024] Figure 2 This is a cross-sectional schematic diagram of the outer layer of a pair of tights for a wearable device used for shape and position capture, as proposed in this utility model.

[0025] Figure 3 This is a system diagram of a transmission device for a wearable device used for shape and position capture, as proposed in this utility model.

[0026] Legend:

[0027] 1. Inner layer of leggings; 2. Outer layer of leggings; 3. Transmission equipment; 31. Processor; 32. Bending sensor module; 33. Electromyography sensor module; 34. Power supply module; 35. Wireless communication module one; 4. Wireless communication module two; 5. Host; 6. Display; 7. Elastic band; 8. Socks. Detailed Implementation

[0028] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0029] Reference Figure 1-3 An embodiment of this utility model is provided: a wearable device for shape and position capture, including a tight-fitting inner layer 1 and a tight-fitting outer layer 2, which improves high temperature resistance. The tight-fitting outer layer 2 is fixedly connected to the surface of the tight-fitting inner layer 1. A sock 8 is provided at the bottom of the tight-fitting inner layer 1. The sock 8, the tight-fitting inner layer 1 and the tight-fitting outer layer 2 are all made of spandex material. A transmission device 3 is fixedly connected to the top of the front of the tight-fitting outer layer 2.

[0030] The transmission device 3 includes a processor 31. The input terminal of the processor 31 is electrically connected to a bending sensing module 32, an electromyography (EMG) sensing module 33, and a power supply module 34. The power supply module 34 is a lithium-ion battery. By setting the power supply module 34 as a lithium-ion battery, it can supply power to the bending sensing module 32 and the EMG sensing module 33. It can also be charged by magnetic charging technology. The bending sensing module 32 is a bending sensor, and the EMG sensing module 33 is a surface electromyography (SEMG) sensor. By setting the bending module 32 as a bending sensor, data such as the bending angle and bending speed of muscles can be extracted, providing key information for constructing a human body model. The output terminal of the processor 31 is electrically connected to a wireless communication module 35.

[0031] The output of wireless communication module 35 is electrically connected to wireless communication module 4. Both wireless communication module 35 and wireless communication module 4 are wireless communication modules. By setting wireless communication module 35 and wireless communication module 4, data can be transmitted wirelessly. The output of wireless communication module 4 is electrically connected to host 5. Host 5 is equipped with human body model construction software. The output of host 5 is electrically connected to display 6. Host 5 is a computer host 5, and display 6 is an LCD screen. By setting display 6 to an LCD screen, it is convenient for users to observe the data.

[0032] Reference Figure 1 An elastic band 7 is fixedly connected to the top of the outer layer 2 of the leggings. A bending sensor module 32 is fixedly connected to the inside of the inner layer 1 of the leggings and the right side of the sock 8. An electromyography sensor module 33 is fixedly connected to the inside of the inner layer 1 of the leggings and the sock 8. By using the elastic band 7, the top of the outer layer 2 of the leggings can be tightened to prevent the inner layer 1 of the leggings from falling off, thus improving the stability of the inner layer 1 of the leggings.

[0033] Working principle: When in use, the user first puts the inner layer 1 of the compression pants on the patient's hip joint and the socks 8 on the patient's ankle joint. When the patient makes a movement, the electromyography (EMG) sensing module 33 obtains data on muscle contraction and relaxation by monitoring the electrical activity on the muscle surface. The flexion sensing module 32 can obtain data such as joint flexion angle and flexion speed. The processor 31 sends the data to the host 5 through the wireless communication module 1 35 and the wireless communication module 2 4. The host 5 sends the data to the software. The software constructs a human body model based on the position information of the numerous EMG sensing modules 33 and the flexion sensing module 32. This model can simulate the human muscle morphology, predict the human body's movement posture and force output, and facilitate doctors to understand the patient's lower limb force line, thereby achieving the advantage of obtaining dynamic force line assessment in real time.

[0034] Finally, it should be noted that the above are merely preferred embodiments of the present utility model and are not intended to limit the present utility model. Although the present utility model has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present utility model should be included within the protection scope of the present utility model.

Claims

1. A wearable device for shape and position capture, comprising an inner layer of leggings (1) and an outer layer of leggings (2), characterized in that: The bottom of the inner layer (1) of the tights is provided with socks (8), and the top of the front of the outer layer (2) of the tights is fixedly connected with a transmission device (3); The transmission device (3) includes a processor (31), the input end of which is electrically connected to a bending sensing module (32), the input end of which is electrically connected to an electromyography sensing module (33), the input end of which is electrically connected to a power supply module (34), and the output end of which is electrically connected to a wireless communication module (35). The output terminal of the wireless communication module one (35) is electrically connected to the wireless communication module two (4), the output terminal of the wireless communication module two (4) is electrically connected to the host (5), and the output terminal of the host (5) is electrically connected to the display (6).

2. A wearable device for shape and position capture according to claim 1, characterized in that: An elastic band (7) is fixedly connected to the top of the outer layer (2) of the leggings. The bending sensing module (32) is fixedly connected to the inside of the inner layer (1) of the leggings and the right side of the sock (8). The electromyography sensing module (33) is fixedly connected to the inside of the inner layer (1) of the leggings and the inside of the sock (8).

3. A wearable device for shape and position capture according to claim 1, characterized in that: The power supply module (34) is a lithium-ion battery.

4. A wearable device for shape and position capture according to claim 1, characterized in that: The bending sensing module (32) is a bending sensor, and the electromyography sensing module (33) is a surface electromyography sensor.

5. A wearable device for shape and position capture according to claim 1, characterized in that: Both wireless communication module one (35) and wireless communication module two (4) are wireless communication modules.

6. A wearable device for shape and position capture according to claim 1, characterized in that: The host (5) is a computer host (5), and the display (6) is a liquid crystal display screen.