CN112998692A

CN112998692A - Scoliosis detection device and method applying back surface myoelectricity test

Info

Publication number: CN112998692A
Application number: CN202110169448.6A
Authority: CN
Inventors: 朱明�; 孙宇汉; 徐沁晨; 樊瑾瑜; 缪俊杰; 顾祝萍; 陈莉
Original assignee: Shanghai University of Medicine and Health Sciences
Current assignee: Shanghai University of Medicine and Health Sciences
Priority date: 2021-02-07
Filing date: 2021-02-07
Publication date: 2021-06-22

Abstract

The invention discloses a scoliosis detection device and method applying a back surface myoelectricity test. The scoliosis detection equipment effectively solves the use limitation in the prior art, realizes the function of quick and convenient detection, has high detection efficiency, and can realize the conversion between the surface electromyographic signals and the scoliosis Cobb angle. The radiation problem in the existing detection mode is also solved, the physical health of the testee is effectively protected, and huge social and medical values can be generated. The volume is small, the carrying is convenient, and the simple, convenient and fast detection can be carried out by individuals and families.

Description

Scoliosis detection device and method applying back surface myoelectricity test

Technical Field

The invention relates to the technical field of medical detection, in particular to a scoliosis detection device and method applying a back surface myoelectricity test.

Background

Scoliosis is a spinal deformity caused by imbalance of muscles on both sides of the spine due to congenital dysplasia, incorrect posture and neuropathy. There are three main detection methods for judging the severity of scoliosis: first, Forward-bending test; second, an X-ray scanner; and thirdly, Moir three-dimensional spectral imaging analysis test. The first method has large measurement limitation, can only detect whether the scoliosis exists, and cannot accurately describe the severity of the scoliosis. The second method is an authoritative standard for detecting scoliosis, which is widely used, but the detection process generates radiation harmful to human body, is time-consuming and expensive and can only be performed in hospitals. Therefore, the patent designs another device for detecting scoliosis from the aspects of health, convenience and economy.

There are relatively few patents on scoliosis detection devices, and related patents include: 1. a human scoliosis measuring instrument is disclosed in application No. 201810504219.3, invention patent, 2, a scoliosis detecting method and device is disclosed in application No. 201811593178.6, invention patent. 3. A scoliosis treatment instrument and a scoliosis treatment method are disclosed in application No. 201810727998.3. The design structure of the patent is accurate, and the patent has detection requirements and functions meeting the standard, but the manufacturing process and the structure of the detection equipment are relatively complex, the required production cost is higher, the detection and the work are not easy to be conveniently and rapidly carried out by individuals and families, and partial products do not have accurate diagnosis methods.

Disclosure of Invention

In view of the above-mentioned drawbacks, the present invention provides a scoliosis detecting device and method using a back surface electromyography test to solve the deficiencies of the prior art.

In order to achieve the purpose, the invention provides a scoliosis detection device applying a back surface myoelectricity test, which comprises a charging port, keys, a processor, a main board, a display screen, a myoelectricity detection line interface, a myoelectricity detection bus, a Bluetooth module, a myoelectricity sensor and a battery, wherein the processor is electrically connected with the keys, the display screen, the Bluetooth module, the myoelectricity sensor and the battery, the input end of the myoelectricity sensor is connected with the two myoelectricity detection buses through the myoelectricity detection line interface, and the input end of the battery is connected with the charging port.

Preferably, the myoelectricity detection bus comprises a positive electrode of the myoelectricity detection line, a negative electrode of the myoelectricity detection line and a grounding end of the myoelectricity detection line.

Preferably, the tail end of the myoelectricity detection bus is a 3.5mm earphone wire connector.

Preferably, the myoelectricity detection line interface is a 3.5mm earphone line interface and is welded with the myoelectricity sensor.

Preferably, the bluetooth module is in wireless communication with a mobile phone.

A scoliosis detection method applying a back surface myoelectricity test is based on the scoliosis detection device applying the back surface myoelectricity test and comprises the following steps:

s1, when in use, firstly, muscle patches are required to be connected to the head ends of two myoelectricity detection buses, signal paths of the two myoelectricity detection buses are named as a channel 1 and a channel 2 respectively, and after the tail ends of the myoelectricity detection buses are inserted into an instrument main body, the muscle patches are required to be attached to the left side and the right side of a top vertebra of a patient, wherein the muscle patch of the channel 1 is required to be attached to the concave side of lateral curvature of a spine, and the muscle patch of the channel 2 is required to be attached to the convex side of the lateral curvature of the spine;

s2, starting the device after the step S1 is finished, connecting and matching the device with a Bluetooth module of the device through the Bluetooth of the mobile phone, placing a chair beside a wall with a flat surface after the connection is successful, enabling the chair and the wall to be separated by a certain distance of 20-40 cm, and enabling the patient to lean against the wall to sit down after the preparation is finished, and slowly leaning backwards until the head of the patient is propped against the wall;

s3, after step S2 is completed, pressing a key to start measurement, keeping the posture still for 5 seconds, forcibly pushing the head of the patient against the wall and the back to exert force, starting collecting the back myoelectric signals by the device at the moment, finishing measurement for thirty seconds, and displaying the measurement result by an instrument, thereby finishing the whole detection process.

Preferably, after the device collects the electromyographic signals of the two sides of the back, the device respectively calculates the root mean square values based on the electromyographic signals of the left side and the right side of the back, the root mean square values are the square sums of all the electromyographic signals, then the average value of the square sums is obtained, and finally the average value of the square sums is squared.

Preferably, the apparatus calculates a Cobb angle of 0.428 x (channel 2 rms/channel 1 rms) after calculating the rms based on the left and right back electromyographic signals.

The invention has the beneficial effects that:

the portable detection mode provided by the invention is flexible and convenient, enables the function of the scoliosis detection equipment to be more specialized, effectively solves the use limitation in the prior art, realizes the function of quick and convenient detection, has high detection efficiency, and can realize the conversion between the surface electromyographic signal and the Cobb angle of the scoliosis. In addition, the radiation problem in the existing detection mode is solved, the physical health of the testee is effectively protected, and huge social and medical values can be generated. The volume is small, the carrying is convenient, and the simple, convenient and fast detection can be carried out by individuals and families.

The conception, the specific structure and the effects of the present invention will be further described in conjunction with the accompanying drawings to fully understand the objects, the features and the effects of the present invention.

Drawings

Fig. 1 is a schematic structural view of the present invention.

Fig. 2 is a schematic block diagram of the control circuit of the present invention.

FIG. 3 is a flow chart of the scoliosis detector of the present invention.

Detailed Description

As shown in fig. 1 and 2, the scoliosis detection device applying the back surface myoelectricity test comprises a charging port 1, a key 2, a processor 3, a mainboard 4, a display screen 5, a myoelectricity detection line interface 6, a myoelectricity detection bus 7, a bluetooth module 8, a myoelectricity sensor 9 and a battery 10, wherein the processor 3 is electrically connected with the key 2, the display screen 5, the bluetooth module 8, the myoelectricity sensor 9 and the battery 10, the input end of the myoelectricity sensor 9 is connected with the two myoelectricity detection buses 7 through the myoelectricity detection line interface 6, and the input end of the battery 10 is connected with the charging port 1. The processor 3, the keys 2 and the display screen 5 are welded on the mainboard together, and the space is utilized more efficiently.

The processor 3 is a stm32 series single chip microcomputer, the myoelectric sensor 9 can collect and amplify a tiny myoelectric signal on the surface of skin with a sampling rate of 1000Hz, and can collect data and perform simple filtering processing, and the sensor contains a memory card and can store the myoelectric data of a user. The processor 3 converts the data into a oscillogram to be displayed on the LCD display screen, and the detection result can be visually displayed. The tail end of the myoelectricity detection bus 7 is a 3.5mm earphone wire connector, three myoelectricity detection lines are led out from the head end of the myoelectricity detection bus, and the myoelectricity detection bus comprises a positive electrode 71 of the myoelectricity detection line, a negative electrode 72 of the myoelectricity detection line and a grounding end 73 of the myoelectricity detection line, wherein the positive electrode and the negative electrode are myoelectricity collection ends, and the grounding end is a myoelectricity collection reference. The myoelectricity detection line interface 6 is a 3.5mm earphone line interface, is welded with the myoelectricity sensor 9, and is connected with the myoelectricity detection bus 7 when in use. The Bluetooth module 8 is in wireless communication with the mobile phone, and displays the measurement result on the mobile phone and stores the data.

As shown in fig. 3, the present invention also provides a scoliosis detection method using a back surface myoelectricity test, comprising the steps of:

The detection method of the invention is used for judging the scoliosis by the surface electromyography technology, which is widely applied at present and is the only technology capable of monitoring the muscle activity condition under the movement mode or posture change. The technical index adopted by the invention is a root-mean-square contrast value on two sides of the back electromyographic signal. Specifically, after the device collects the electromyographic signals of the two sides of the back, the root mean square value based on the electromyographic signals of the left side and the right side of the back is respectively calculated, and the root mean square value is obtained by squaring and averaging all the electromyographic signals and then squaring. After the root mean square values based on the electromyographic signals of the left and right back parts are obtained through calculation, the Cobb angle is calculated, and the Cobb angle is 0.428 x (channel 2 root mean square value/channel 1 root mean square value). The level of muscle movement and resting can be assessed, and this index is related to muscle function and neuromuscular potency. For scoliosis patients, the muscles on the convex side are more prone to fatigue, atrophy and other pathological conditions than those on the concave side, the surface electromyographic signals are increased, and the root mean square value of the convex side is larger than that of the concave side

The measurement range of the device is 10-45 degrees of Cobb angle, the Cobb angle of a patient suffering from 10-45 degrees of light and medium lateral curvature of spine and the root mean square contrast value at two sides of the back form an obvious positive correlation according to experimental data, and the Cobb angle is about 0.428 times of the root mean square contrast value.

In conclusion, the portable detection mode provided by the invention is flexible and convenient, the function of the scoliosis detection equipment is more specialized, the use limitation in the prior art is effectively solved, the function of quick and convenient detection is realized, the detection efficiency is high, and the conversion between the surface electromyographic signal and the Cobb angle of the scoliosis can be realized. In addition, the radiation problem in the existing detection mode is solved, the physical health of the testee is effectively protected, and huge social and medical values can be generated. The volume is small, the carrying is convenient, and the simple, convenient and fast detection can be carried out by individuals and families.

The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, any solution that can be obtained by a person skilled in the art through logic analysis, reasoning or limited experiments on the basis of the present invention shall fall within the scope of protection defined by the claims.

Claims

1. a scoliosis detection device using back surface electromyography test is characterized in that: comprise charging port (1), button (2), processor (3), main board (4), display screen (5), An EMG detection line interface (6), an EMG detection bus (7), a Bluetooth module (8), an EMG sensor (9), a battery (10), the processor (3), the buttons (2), the display screen (5), the Bluetooth module (8), the EMG sensor (9), and the battery (10) are electrically connected, and the input end of the EMG sensor (9) is connected to two EMG detection wires through the EMG detection line interface (6). A bus (7), the input end of the battery (10) is connected to the charging port (1).

2. the scoliosis detection device of a kind of application back surface electromyography test as claimed in claim 1, is characterized in that: described electromyography detection bus line (7) comprises electromyography detection line positive electrode (71), electromyography The negative electrode (72) of the detection line and the ground terminal (73) of the EMG detection line.

3. A scoliosis detection device using back surface EMG test as claimed in claim 1, characterized in that: the end of the EMG detection bus (7) is a 3.5mm headphone cable connector.

4. the scoliosis detection device of a kind of application back surface electromyography test as claimed in claim 1 is characterized in that: described electromyography detection line interface (6) is 3.5mm earphone line interface, and electromyography sensor ( 9) Solder together.

5 . The scoliosis detection device using back surface electromyography test according to claim 1 , wherein the Bluetooth module ( 8 ) communicates wirelessly with a mobile phone. 6 .

6. a kind of scoliosis detection method of application back surface electromyography test, based on the scoliosis detection device of application back surface electromyography test described in any one of claim 1-5, is characterized in that, comprises the following steps:

S1. When using, the muscle patch needs to be connected to the first end of the two EMG detection buses. The signal paths of the two EMG detection buses are named channel 1 and channel 2 respectively. Insert the end of the EMG detection bus into the main body of the instrument. , paste the muscle patch on the left and right sides of the patient's apical vertebra, wherein the muscle patch of channel 1 should be attached to the concave side of scoliosis, and the muscle patch of channel 2 should be attached to the convex side of scoliosis;

S2. After step S1 is completed, turn on the machine, connect and pair with the Bluetooth module of the device through the Bluetooth of the mobile phone. After the display shows that the connection is successful, place a chair on the side of a flat wall, and make a certain distance between the chair and the wall. 20-40 cm , after the preparation is completed, make the patient sit with his back against the wall, and slowly lean back until the head is against the wall;

S3. After step S2 is completed, press the button to start the measurement. After keeping the posture for 5 seconds, the patient's head pushes against the back of the wall. At this time, the device starts to collect back EMG signals. The process lasts for 30 seconds and the measurement is completed. , the instrument displays the measurement results, and the entire detection process is completed.

7. the scoliosis detection method of a kind of application back surface electromyography test as claimed in claim 6, is characterized in that: after described device has collected the electromyography signal of both sides of back, calculate respectively based on left and right side back muscles The root mean square value of the electrical signal, the root mean square value is the sum of the squares of all the myoelectric signals, and then the average value of the sum of squares is obtained, and finally the average value of the sum of squares is squared.

8. the scoliosis detection method of a kind of application back surface electromyography test as claimed in claim 7 is characterized in that: after described device calculates and obtains the root mean square value based on the back electromyography signal of left and right sides, calculates Cobb angle, Cobb angle=0.428×(channel 2 rms value/channel 1 rms value).