Fingerstall ring device for detecting scoliosis

Abstract

The utility model discloses a fingerstall ring device for detecting scoliosis. The fingerstall ring device comprises an equipment shell set, a Cobb angle profile frame, a tripod imaging set, an electronic control module set, a displayer, a long-strip table and a lifting seat. The detection ball moves at the collected position to obtain information; according to the utility model, the back thoracic vertebra position of a detected person is touched by a finger, the finger sleeve ring device gradually moves downwards after determining the spinous process position, detection is carried out through a detection ball or a sensor on the finger sleeve ring device, and at the moment, the trend of scoliosis can be acquired through the sensor or vision, so that the body surface form condition of the spine is obtained; under the condition that traditional palpation of doctors in departments such as the orthopedics department is not changed, a digital mode is adopted, the fingers rapidly slide along the spine so as to perceive whether a physiological curve exists or not, or lateral bending, disappearance, reverse expansion, angulation, kyphosis, indent, malformation and the like exist or not, and the accuracy and reliability of estimating the Cobb angle are improved.

Description

Technical Field

[0001] The utility model relates to the technical field of scoliosis detection, in particular to a finger ring device for detecting scoliosis. Background Art

[0002] Scoliosis is an abnormal sideways curvature of the spine in the coronal plane (i.e., when viewed from the back). Normally, the spine should be straight when viewed from front to back, but scoliosis causes the spine to bend to one side into a C or S shape. Scoliosis usually develops during childhood and adolescence, especially in women, but it can also occur in adults. In most cases, scoliosis causes no symptoms or health problems, but in severe cases it can cause discomfort, body asymmetry, and spinal deformity. To screen and diagnose scoliosis, your doctor will typically perform the following steps:

[0003] There are many ways to detect scoliosis. When a person's spine has an abnormal curvature in the sideways direction, this condition is called scoliosis. Normally, the spine is straight when viewed from the front, but in some cases, the spine may bend to one or both sides, forming a sideways curve. This sideways curvature may occur in different parts, usually in the chest (thoracic scoliosis) or the lower back (lumbar scoliosis), or may even involve multiple parts.

[0004] In this case, the existing technologies on the market use infrared, vision, sensors and other methods to detect scoliosis. However, doctors in departments such as orthopedics in hospitals still use manual palpation of the spinous processes to detect scoliosis.

[0005] Therefore, it is necessary to provide a finger ring device for detecting scoliosis to solve the above technical problems. The finger ring is used to achieve a digital way for the doctor to touch the purpose. Utility Model Content

[0006] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract of the specification and the title of the invention of this application to avoid blurring the purpose of this section, the abstract of the specification and the title of the invention, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0007] In order to solve the above technical problems, the utility model provides the following technical solutions: a finger ring device for detecting scoliosis, comprising a Cobb angle profile frame, a tripod imaging group, an electronic control module group, a display, a long table, and a liftable seat; the tripod imaging group is placed on the Cobb angle profile frame, the electronic control module group is connected to the display and the tripod imaging group, the display is placed on the long table, and a liftable seat is arranged next to the long table; it is characterized in that: a finger ring, a sensor and a detection ball are provided on the finger ring device, the finger ring is connected to the sensor, the detection ball is connected to the sensor, and the Cobb angle profile frame is connected to the electronic control module group and the finger ring device.

[0008] As a preferred embodiment of the finger ring device for detecting scoliosis of the utility model, the tripod imaging group comprises: a camera, a tripod, and a camera USB expansion interface, wherein the camera and the tripod are fixedly connected by threads, and the camera is provided with a USB interface; and further comprises a laptop computer, wherein the camera USB expansion interface is connected to the laptop computer by a data cable;

[0009] As a preferred embodiment of the finger ring device for detecting scoliosis described in the utility model, the electronic control module group includes: a laptop computer, a 220V-12V transformer, a USB expansion socket, an HDMI expansion interface, an AC power socket with a switch, a keyboard, a mouse, and a 220V-19V transformer; the AC power socket with a switch is electrically connected to the 220V-12V transformer, the 220V-12V transformer is electrically connected to the laptop computer, the laptop computer is electrically connected to the keyboard, the mouse, the USB expansion socket and the HDMI expansion interface, and the 220V-19V transformer is electrically connected to the mounted display.

[0010] As a preferred embodiment of the finger ring device for detecting scoliosis of the utility model, the sensor is used to collect data of the spinal curve when it contacts the spinous process of the spine.

[0011] As a preferred embodiment of the finger ring device for detecting scoliosis of the utility model, the tripod imaging group further comprises a camera device with a tripod, which simulates the movement of the structural position of the spine by means of a detection ball or a sensor to obtain information.

[0012] As a preferred embodiment of the finger ring device for detecting scoliosis of the utility model, the finger ring has an opening at the bottom, a concave hole is provided at the center of the upper surface, a protrusion is provided at the bottom of the sensor, and the sensor is fixedly connected to the finger ring.

[0013] The beneficial effects of the utility model: through the combination of the above devices, scoliosis detection can be made more convenient, and modern computer technology and image processing technology are used to complete the prediction of the spinal structure. The utility model adopts a ring-like model, that is, the detection ball for visual collection is placed on the outside of the device or the sensor (two-axis, three-axis, etc.) is placed in the device. This allows users to feel the spinous process of the spine by touching it with their fingers as in the traditional way; based on this, the digital method can easily meet the doctor's requirements for the perception and accuracy of the spinous process and spine; according to the sliding of the finger ring, the curvature can be clearly known, and the whole process no longer requires manual operation by the doctor, realizing automatic, accurate and rapid scoliosis detection, avoiding the error caused by manual measurement of the Cobb angle of scoliosis and the requirement for knowledge reserve for manual determination of the type of scoliosis, and effectively improving the efficiency and accuracy of scoliosis detection; by adopting the finger ring mode, the tester can first choose the finger ring to connect with the detection ball or the corresponding multi-axis sensor, then wear the finger ring on the finger, and then touch the back thoracic vertebra position of the person being tested with the finger, determine the position of the spinous process and gradually move downward, at this time, the trend of scoliosis can be collected by sensor or vision to obtain the surface morphology of the spine. Without changing the traditional palpation of departments such as orthopedics, the finger slides quickly along the spine in a digital way to detect whether the physiological curve exists, or scoliosis, disappearance, hyperextension, angulation, kyphosis, concavity, deformity, etc. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present utility model, the following briefly introduces the drawings required for the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present utility model. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0015] Figure 1 A schematic diagram of a tripod imaging group of a finger ring device for detecting scoliosis according to an embodiment of the utility model;

[0016] Figure 2 A schematic diagram of the structure of a finger ring of a finger ring device for detecting scoliosis according to an embodiment of the utility model;

[0017] Figure 3 A schematic diagram of image data and an algorithm of a finger ring device for detecting scoliosis according to an embodiment of the present utility model. DETAILED DESCRIPTION

[0018] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0019] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0020] Example 1

[0021] Reference Figure 1-3The first embodiment of the utility model provides a finger ring device for detecting scoliosis, comprising: an equipment housing group, a Cobb angle profile frame, a tripod imaging group, an electronic control module group, a display, a long table, and a liftable seat; the tripod imaging group is placed on the Cobb angle profile frame, the electronic control module group is connected to the display and the tripod imaging group, the display is placed on the long table, and a liftable seat is arranged next to the long table; a finger ring 103, a sensor 102 and a detection ball 101 are arranged on the finger ring device, the finger ring 103 is connected to the sensor 102, the detection ball 101 is connected to the sensor 102, and the Cobb angle profile frame is connected to the electronic control module group and the finger ring device. The tripod imaging group includes: a camera 107, a tripod 106, and a camera USB expansion interface. The camera 107 is fixedly connected to the tripod 106 by threads, and the camera 107 is provided with a USB interface; it also includes a laptop computer 105, and the camera USB interface is connected to the laptop computer 105 by a data cable; the electronic control module group includes: a laptop computer 105, a 220V-12V transformer, a USB expansion socket, an HDMI expansion interface, an AC power socket with a switch, a keyboard, a mouse, and a 220V-19V transformer; the AC power socket with a switch is electrically connected to the 220V-12V transformer, the 220V-12V transformer is electrically connected to the laptop computer 105, the laptop computer 105 is electrically connected to the keyboard, the mouse, the USB expansion socket and the HDMI expansion interface, and the 220V-19V transformer is electrically connected to the equipped display; the laptop computer and the display are both placed on the long table. Specifically, the finger ring device is provided with a finger ring 103, a sensor 102 and a detection ball 101, wherein the finger ring 103 is connected to the sensor 102, and the detection ball 101 is connected to the sensor 102. The finger rings are arranged in a pair and are closely connected. In order to improve the comfort of the finger ring 103, an opening is arranged at the bottom of the finger ring 103. The shape of the finger ring 103 is similar to a "brass knuckles", and the wearing method of the finger ring 103 is the same as that of the brass knuckles. In addition, a concave circular hole is arranged at the center of the surface of the upper finger ring 103, and a rubber sleeve is arranged around the upper surface of the circular hole. The diameter of the rubber sleeve is smaller than the diameter of the detection ball 101. The detection ball 101 can be placed in the rubber sleeve. The detection ball 101 has the same function as the sensor 102. The information collected by the detection ball 101 can be obtained through a camera, and the information collected by the sensor 102 is transmitted through Bluetooth. When using, the user can choose to combine the sensor 102 with the finger ring 103, or can choose to combine the detection ball 101 with the finger ring 103.The trajectory of the finger collar 103 device is a continuous motion path, which can be repeatedly measured in real time or non-real time, thereby providing more data points and more observation opportunities, increasing the accuracy and reliability of estimating the Cobb angle. The tripod imaging group also includes a camera device with a tripod, which can simulate the trend of the structure of the spine from top to bottom by detecting the trend of the ball 101. The sensor 102 is used to collect data on the spinal curve when it contacts the spinous process of the spine. The device (such as a camera) for collecting the trajectory of the finger collar 103 device is more flexible and portable than traditional X-ray equipment. This makes the method easier to apply in different environments, especially in areas with limited medical resources. At the same time, the electronic control module group can analyze the received image data, which is a non-invasive screening method that does not require the use of X-rays or other imaging technologies to observe the spine, thereby avoiding radiation exposure and other potential discomfort. Secondly, compared with traditional imaging technologies, using cameras and computer vision algorithms to track the trajectory of the finger collar 103 may have lower costs because these devices are generally more common and easy to obtain. The camera in the tripod imaging group and the laptop computer 105 can be used to identify the motion trajectory of the finger ring device. By identifying and analyzing the different images collected, scoliosis detection can be more convenient. Modern computer technology and image processing technology are used to complete the prediction of the spinal structure. The utility model adopts a ring-like model, that is, the detection ball 101 for visual collection is placed outside the device or the sensor 102 (two-axis, three-axis, etc.) is placed inside the device. This allows the user to still use the finger to feel the spinous process of the spine as in the traditional way; based on this, the superimposed digital method can easily meet the doctor's requirements for the perception and accuracy of the spinous process and spine; according to the sliding of the finger ring 103, the curvature can be clearly known, and the whole process no longer requires manual operation by the doctor, realizing automatic, accurate and rapid scoliosis detection, avoiding the error caused by manual measurement of the scoliosis angle Cobb angle and the requirement for knowledge reserve for manual determination of the scoliosis type, and effectively improving the efficiency and accuracy of scoliosis detection; by adopting the mode of the finger ring 103, the tester can first select the finger ring 103 to connect with the detection ball 101 or the corresponding multi-axis sensor 102, then wear the finger ring 103 on the finger, and then touch the back thoracic vertebra position of the person being tested with the finger, determine the spinous process position and gradually move downward, at this time, the trend of scoliosis can be collected by the sensor 102 or visually to obtain the surface morphology of the spine. The detection device can be adjusted as needed, which is more conducive to scoliosis inspection for users. Draw a horizontal line on the upper edge of the vertebral body of the upper vertebra, and draw a horizontal line on the lower edge of the vertebral body of the lower vertebra. Draw a vertical line to each of the two horizontal lines. The intersection of the two vertical lines is the Cobb angle.For larger scoliosis, the direct intersection angle of the above two horizontal lines is also equivalent to the Cobb angle. One of the reference standards for the severity of scoliosis is the size of the scoliosis angle, generally called the Cobb angle, which is named after John Robert Cobb, an American orthopedic surgeon. This measurement method is most commonly used to measure the angle of scoliosis. After taking the X-ray, the spinal surgeon or orthotist will tell the patient the angle measurement, and at the same time give different correction intervention plans based on the size of the angle and other factors, so that scoliosis treatment is more timely, scientific, standardized and effective. The operator first sets up the tripod and puts the camera on it, and places the person being observed in the target area corresponding to the camera. The operator first turns on the laptop, then connects the camera component to the computer, and then opens the computer's supporting software to create a new personnel file. Next, ask the person being observed to stand with his back to the camera. After the operator confirms it, notify the operator to open the computer's image data acquisition software.

[0022] Through the image data, we can get the trajectory of the detection ball. The following steps are taken: (1) Image preprocessing: The collected image is preprocessed to remove noise, adjust contrast, enhance image details, etc.; image preprocessing helps to improve the accuracy and effect of subsequent processing steps. (2) Target detection and tracking: Use the target detection and tracking algorithms in computer vision technology to identify the position of the detection ball in the image and track its movement; the target detection algorithm can help locate the detection ball in the image, while the target tracking algorithm can track the movement of the detection ball between consecutive frames. (3) Trajectory reconstruction: During the tracking process of the detection ball, the collected position information can be used to reconstruct the trajectory of the detection ball. Trajectory reconstruction can obtain the motion trajectory of the detection ball 101 by connecting the continuous positions of the detection ball. Through the above image data, the trajectory of the detection ball 101 can be used to directly estimate the Cobb angle: The steps for calculating the Cobb angle are as follows: (1) Curve fitting: For the obtained motion trajectory of the detection ball 101, you can try to use curve fitting technology to approximate its motion path. Through curve fitting, the trajectory data of the detection ball 101 is fitted into a mathematical function or curve, which is convenient for subsequent analysis. (2) Calculate curvature: Use a fitted curve or mathematical function to calculate the curvature of the trajectory of the probe ball 101. Curvature represents the degree of curvature of a curve at a certain point. Based on the curvature of the probe ball 101, the curvature of the ball's movement can be estimated. (3) Estimate the Cobb angle: After finding the most inclined point on the curvature, the angle obtained is the approximate value of the Cobb angle of scoliosis. The method of using the trajectory of the probe ball 101 to estimate the Cobb angle of the spine brings some potential benefits. There is no need to use X-rays or other imaging techniques to observe the spine, thereby avoiding radiation exposure and other potential discomfort. Secondly, compared with traditional imaging techniques, using cameras and computer vision algorithms to track the movement trajectory of the probe ball 101 may be less costly.

[0023] There are many methods for in vitro detection and prediction of Cobb angles on the market, such as using ultrasound, infrared, structured light and other methods to predict the structure of the spine in vitro. Compared with the visual method mentioned above, this method is greatly improved and can achieve certain results. The Cobb angle of scoliosis is a standard method for measuring the severity of scoliosis. The Cobb angle of scoliosis is a standard method for measuring the severity of scoliosis. The Cobb angle is defined by measuring the angle of spinal curvature in X-rays or other imaging techniques. It is the angle between a vertical line drawn from the line segment between the most inclined upper vertebra and the most inclined lower vertebra and the two line segments at their intersection.

[0024] In summary, through image data processing and algorithms, according to the trajectory of the finger ring, the target detection and tracking algorithm in computer vision technology can be used to reconstruct the trajectory of the finger ring 103 during tracking, and the movement trajectory of the finger ring 103 can be obtained. At this time, the Cobb angle can be estimated according to the trajectory of the finger ring 103. Without changing the traditional palpation of doctors in departments such as orthopedics, a digital method is used, and the fingers are quickly slid along the spine to detect whether the physiological curve exists, or scoliosis, disappearance, hyperextension, angulation, kyphosis, concavity, deformity, etc.

[0025] Additionally, in order to provide a concise description of example embodiments, all features of an actual embodiment (ie, those features that are not relevant to the best mode presently contemplated for carrying out the invention or those that are not relevant to implementing the invention) may not be described.

[0026] It will be appreciated that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but will be a routine task of design, fabrication, and production for those of ordinary skill having the benefit of this disclosure without undue experimentation.

[0027] It should be noted that the above embodiments are only used to illustrate the technical solution of the utility model rather than to limit it. Although the utility model has been described in detail with reference to the preferred embodiments, ordinary technicians in the field should understand that the technical solution of the utility model can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the utility model, which should be included in the scope of the claims of the utility model.

Claims

1. A finger ring device for detecting scoliosis, comprising a Cobb angle profile frame, a tripod imaging group, an electronic control module group, a display, a long table, and a liftable seat; the tripod imaging group is placed on the Cobb angle profile frame, the electronic control module group is connected to the display and the tripod imaging group, the display is placed on the long table, and a liftable seat is arranged next to the long table; characterized in that: The finger ring device is provided with a finger ring (103), a sensor (102) and a detection ball (101); the finger ring (103) is connected to the sensor (102); the detection ball (101) is connected to the finger ring (103); and the Cobb angle profile frame is connected to the electronic control module group and the finger ring device.

2. The finger ring device for detecting scoliosis according to claim 1, characterized in that: The tripod imaging group comprises: a camera (107), a tripod (106), and a camera USB expansion interface, wherein the camera (107) and the tripod (106) are fixedly connected via threads, and the camera (107) is provided with a USB interface; and further comprises a laptop computer (105), wherein the camera USB expansion interface is connected to the laptop computer (105) via a data cable.

3. The finger ring device for detecting scoliosis according to claim 1, characterized in that: The electronic control module group includes: a laptop computer (105), a 220V-12V transformer, a USB expansion socket, an HDMI expansion interface, an AC power socket with a switch, a keyboard, a mouse, and a 220V-19V transformer; the AC power socket with a switch is electrically connected to the 220V-12V transformer, the 220V-12V transformer is electrically connected to the laptop computer (105), the laptop computer (105) is electrically connected to the keyboard, the mouse, the USB expansion socket and the HDMI expansion interface, and the 220V-19V transformer is electrically connected to the mounted display.

4. The finger ring device for detecting scoliosis according to claim 1, characterized in that: The sensor (102) is used to collect data of the spinal curve when contacting the spinous process of the spine.

5. The finger ring device for detecting scoliosis according to claim 2, characterized in that: The tripod imaging group also includes a camera device with a tripod, which uses a detection ball (101) to simulate the movement of the structural position of the spine to obtain information.

6. The finger ring device for detecting scoliosis according to claim 1, characterized in that: The finger ring (103) has an opening at the bottom and a concave hole at the center of the upper surface; a protrusion is provided at the bottom of the sensor (102); and the sensor (102) is fixedly connected to the finger ring (103).

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