Electromyographic signal gainer

Abstract

The utility model discloses an electromyographic signal gainer, which relates to the technical field of electromyographic signal monitoring equipment, and adopts the technical scheme that the electromyographic signal gainer comprises a detection bag and a detection circuit, a detection gain circuit is embedded in the detection bag, a cancellation driving circuit is arranged in the detection gain circuit, and the device is fixed on a human body limb through the detection bag. By means of the cancellation driving circuit in the detection gain circuit in the detection bag, common-mode interference in human body surface electromyogram signals measured in the human body motion state is taken out and sent back to the human body after high-multiple reverse amplification, then the common-mode signals of the human body are greatly reduced, and the measured surface electromyogram signal result is more accurate.

Description

Technical Field

[0001] The utility model relates to the technical field of electromyographic signal monitoring equipment, and more specifically, to an electromyographic signal amplifier. Background Art

[0002] Electromyographic signals (EMG) are physiological electrical signals generated by the human body during exercise. Electrodes can be used to record the bioelectrical signals generated during neuromuscular activity. Electromyographic signals (EMG) are the superposition of motor unit action potentials (MUAPs) in many muscle fibers in time and space, reflecting the real-time status of nerves and muscles. Therefore, the measured electromyographic signals are helpful in studying the functions of nerves and muscles during exercise. Surface electromyographic signals (SEMG) are the combined effects of superficial muscle EMG and electrical activity on nerve trunks on the surface of the skin, which can reflect neuromuscular activity to a certain extent. Compared with needle electrode EMG, SEMG has the advantages of non-invasiveness, non-traumaticity, and simple operation in measurement. Therefore, SEMG has important practical value in clinical medicine, ergonomics, rehabilitation medicine, and sports science.

[0003] However, in real life, there are various common-mode interferences caused by surrounding electromagnetic waves on the human body surface. The power frequency interference is caused by the electromagnetic field generated by the AC power supply, which passes through the human body loop and presents itself in the form of 50HZ and its harmonics, which can be as high as V order of magnitude, making the measured surface electromyography signal inaccurate.

[0004] Therefore, the utility model aims to provide an electromyographic signal amplifier to solve the above problems. Utility Model Content

[0005] The purpose of the utility model is to provide an electromyographic signal amplifier, which takes out the common-mode signal on the human body by detecting the cancellation driving circuit in the gain circuit, and sends it back to the human body after high-multiple reverse amplification, thereby greatly reducing the common-mode signal of the human body and making the measured surface electromyographic signal result more accurate.

[0006] The above technical purpose of the utility model is achieved through the following technical solutions: an electromyographic signal amplifier, including a detection bag and a detection circuit, the side of the detection bag in contact with the human body is the inner side of the detection bag, the side of the detection bag away from the human body is the outer side of the detection bag, a detection gain circuit is embedded in the detection bag, and a cancellation drive circuit is provided in the detection gain circuit.

[0007] By adopting the above technical solution, the device is fixed to the human limbs by a detection bag, and the common-mode interference in the human surface electromyography signal measured when the human body is in motion is taken out through the cancellation drive circuit in the detection gain circuit in the detection bag, and then sent back to the human body after high-multiple reverse amplification, thereby greatly reducing the common-mode signal of the human body and making the measured surface electromyography signal result more accurate.

[0008] The utility model is further configured as follows: a plurality of electromyographic signal electrode sensors are provided at the top of the detection bag; the detection gain circuit comprises a power supply circuit, an acceleration acquisition circuit, a rectifier circuit, a cancellation drive circuit, an amplifier circuit, a filter circuit, a variable gain amplifier circuit and a Bluetooth transmission circuit; the power supply circuit, the acceleration acquisition circuit, the rectifier circuit, the cancellation drive circuit, the amplifier circuit, the filter circuit, the variable gain amplifier circuit and the Bluetooth transmission circuit are connected in series with each other; and the electromyographic signal electrode sensors are connected to the acceleration acquisition circuit.

[0009] By adopting the above technical scheme, the detection gain circuit is powered by a power supply circuit; the movement posture of the human body is sensed by the acceleration acquisition circuit, and the real-time measured human surface electromyographic signal is transmitted to the detection gain circuit through the electromyographic signal electrode sensor connected to the acceleration acquisition circuit; the DC waveform is filtered by the rectifier circuit; the common-mode interference in the human surface electromyographic signal measured when the human body is in motion is taken out by the cancellation drive circuit, and is sent back to the human body after high-multiple reverse amplification, thereby significantly reducing the common-mode signal of the human body; the measured human surface electromyographic signal is amplified by the amplifier circuit; the possible baseline drift and jitter are eliminated by the high-pass filter in the filter circuit, and the high-frequency band noise introduced in the signal acquisition and amplification process is eliminated by the low-pass filter; the variable gain amplifier circuit amplifies the filtered human surface electromyographic signal, and the collected surface electromyographic signal is uploaded to the PC or mobile phone through the Bluetooth transmission circuit for subsequent waveform display and data analysis.

[0010] The utility model is further configured as follows: a Velcro round hair portion is provided at one end of the inner side of the detection bag, a Velcro burr portion is provided at one end of the outer side of the detection bag, and a switch key is provided at the outer side of the detection bag.

[0011] By adopting the above technical solution, the detection bag is fixed on the human body by fitting the Velcro round hair part and the Velcro bristle part together, and the detection gain circuit is controlled to be turned on and off by the switch key.

[0012] The utility model is further configured as follows: a silicone anti-slip strip is provided on the side edge in the vertical direction of the inner side of the detection bag.

[0013] By adopting the above technical solution, the silicone anti-slip strip can prevent the detection bag from slipping on the human body.

[0014] The utility model is further configured as follows: a silica gel insulating coating is provided inside the detection bag.

[0015] By adopting the above technical solution, the silicone insulating coating prevents the detection gain circuit in the detection bag from leaking due to collision.

[0016] In summary, the utility model has the following beneficial effects:

[0017] The utility model detects the cancellation driving circuit in the gain circuit, takes out the common mode signal on the human body, and sends it back to the human body after high-multiple reverse amplification, thereby greatly reducing the common mode signal of the human body and making the measured surface electromyography signal result more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a front side view of an embodiment of the utility model;

[0019] Figure 2 is another front side view of an embodiment of the utility model;

[0020] Figure 3 is a top view of an embodiment of the present invention;

[0021] Figure 4 Schematic diagram of the circuit structure of the surface electromyography signal acquisition circuit in the embodiment of the present invention.

[0022] In the figure: 1. Electromyographic signal electrode sensor; 2. Inside of the detection bag; 3. Outside of the detection bag; 4. Velcro round hair part; 5. Velcro burr part; 6. Silicone anti-slip strip; 7. Detection gain circuit; 8. Silicone insulation coating; 9. Power supply circuit; 10. Acceleration acquisition circuit; 11. Rectification circuit; 12. Cancellation drive circuit; 13. Amplification circuit; 14. Filter circuit; 15. Variable gain amplification circuit; 16. Bluetooth transmission circuit; 17. Switch. DETAILED DESCRIPTION

[0023] The following is combined with Figure 1-4 The utility model is described in further detail.

[0024] Embodiment: A myoelectric signal amplifier, such as Figures 1 to 4 As shown, it includes a detection bag and a detection circuit. The side of the detection bag in contact with the human body is the inner side 2 of the detection bag, and the side of the detection bag away from the human body is the outer side 3 of the detection bag. A detection gain circuit 7 is embedded in the detection bag, and a cancellation drive circuit 12 is provided in the detection gain circuit 7.

[0025] In this embodiment, a detection bag is used to fix the device on a human limb, and the surface electromyographic signals generated by the human body when exercising are collected through the electromyographic signal electrode sensor 1 connected to the detection bag. The common-mode interference in the surface electromyographic signals of the human body measured when the human body is in motion is taken out through the cancellation drive circuit 12 in the detection gain circuit 7 in the detection bag, and then sent back to the human body after high-multiple reverse amplification, thereby significantly reducing the common-mode signal of the human body and making the measured surface electromyographic signal results more accurate.

[0026] A plurality of myoelectric signal electrode sensors 1 are arranged at the top of the detection bag, and the detection gain circuit 7 comprises a power supply circuit 9, an acceleration acquisition circuit 10, a rectifier circuit 11, a cancellation drive circuit 12, an amplifier circuit 13, a filter circuit 14, a variable gain amplifier circuit 15 and a Bluetooth transmission circuit 16. The power supply circuit 9, the acceleration acquisition circuit 10, the rectifier circuit 11, the cancellation drive circuit 12, the amplifier circuit 13, the filter circuit 14, the variable gain amplifier circuit 15 and the Bluetooth transmission circuit 16 are connected in series with each other, and the myoelectric signal electrode sensor 1 is connected to the acceleration acquisition circuit 10; wherein the power supply circuit 9 is powered by a 3.7V lithium battery, and the acceleration acquisition circuit 10 selects ICM-20948, which is suitable for smart phones, tablet computers, wearable sensors and Internet of Things applications. The filter circuit 14 adopts TLC2264AIPWR to form a double-T band-stop filter. The double-T active notch has strong negative feedback and good filtering effect, and has a more perfect frequency selection filtering effect than RC, a smaller bandwidth and a simple circuit.

[0027] In this embodiment, the detection gain circuit 7 is powered by a power supply circuit 9, the power supply and the digital power supply are separated, the analog power supply is powered by positive and negative 3.0V, and the acceleration module is powered by a 1.8V power supply; the human body's motion posture is sensed by the acceleration acquisition circuit, and the real-time measured human surface electromyographic signal is transmitted to the detection gain circuit 7 by the electromyographic signal electrode sensor 1 connected to the acceleration acquisition circuit; the DC waveform is filtered by the rectifier circuit 11; the common-mode interference in the human surface electromyographic signal measured when the human body is in motion is taken out by the cancellation drive circuit 12, and is sent back to the human body after high-multiple reverse amplification, thereby greatly reducing the common-mode signal of the human body; the measured human surface electromyographic signal is amplified by the amplifier circuit 13; the possible baseline drift and jitter are eliminated by the high-pass filter in the filter circuit 14, and the high-frequency band noise introduced in the signal acquisition and amplification process is eliminated by the low-pass filter; the variable gain amplifier circuit 15 amplifies the filtered human surface electromyographic signal, and uploads the collected surface electromyographic signal to the PC or mobile phone through the Bluetooth transmission circuit 16 for subsequent waveform display and data analysis.

[0028] A Velcro bristle portion 4 is provided at one end of the inner side 2 of the detection bag, a Velcro bristle portion 5 is provided at one end of the outer side 3 of the detection bag, a switch key 17 is provided at the outer side 3 of the detection bag, and the Velcro bristle portion 4 and the Velcro bristle portion 5 are fixedly connected to the detection bag.

[0029] In this embodiment, the detection bag is fixed on the human limbs by fitting the Velcro round hair portion 4 and the Velcro bristle portion 5 together. The Velcro round hair portion 4 and the Velcro bristle portion 5 can adjust the fitting position of the Velcro round hair portion 4 and the Velcro bristle portion 5 according to different body shapes of the human body, so that the detection bag can be fixed on the human limbs, and the detection gain circuit 7 is controlled to be turned on and off by the switch key 17.

[0030] A silicone anti-slip strip 6 is provided on the vertical side of the inner side 2 of the detection bag, and the silicone anti-slip strip 6 is fixedly connected to the detection bag.

[0031] In this embodiment, the silicone anti-slip strips 6 arranged on both sides of the inner side 2 of the detection bag can increase the friction between human skin and the detection bag, so that the detection bag does not slip on the human limbs, and the measured surface electromyography signal is more accurate.

[0032] A silicone insulating coating 8 is provided inside the detection bag, and the detection gain circuit 7 is fixed on the silicone insulating coating 8 inside the detection bag.

[0033] In this embodiment, the silicone insulating coating 8 can prevent the detection gain circuit 7 in the detection bag from leaking due to collision, thereby improving the safety of the detection bag.

[0034] Working principle:

[0035] When using the electromyographic signal amplifier of the utility model, the detection bag is fixed on the human limbs by fitting the Velcro round hair part and the Velcro bristle part, the electromyographic signal electrode sensor is fixed on the human limbs by using medical tape, and the power switch is pressed to connect the power to the circuit. The common-mode interference in the human surface electromyographic signal measured when the human body is in motion is taken out through the detection gain circuit, and is sent back to the human body after high-multiple reverse amplification, thereby greatly reducing the common-mode signal of the human body, making the measured surface electromyographic signal result more accurate, and then the processed surface electromyographic signal is transmitted to the PC or mobile phone for subsequent waveform display and data analysis.

[0036] This specific embodiment is merely an explanation of the present invention and is not a limitation of the present invention. After reading this specification, those skilled in the art may make non-creative modifications to the present embodiment as needed, but such modifications are protected by patent law as long as they are within the scope of the claims of the present invention.

Claims

1. A myoelectric signal amplifier, characterized in that: The invention comprises a detection bag and a detection circuit, wherein the side of the detection bag in contact with the human body is the inner side (2) of the detection bag, and the side of the detection bag away from the human body is the outer side (3) of the detection bag. A detection gain circuit (7) is embedded in the detection bag, and a cancellation drive circuit (12) is provided in the detection gain circuit (7).

2. The electromyographic signal amplifier according to claim 1, characterized in that: A plurality of myoelectric signal electrode sensors (1) are arranged at the top of the detection bag; the detection gain circuit (7) comprises a power supply circuit (9), an acceleration acquisition circuit (10), a rectifier circuit (11), a cancellation drive circuit (12), an amplifier circuit (13), a filter circuit (14), a variable gain amplifier circuit (15) and a Bluetooth transmission circuit (16); the power supply circuit (9), the acceleration acquisition circuit (10), the rectifier circuit (11), the cancellation drive circuit (12), the amplifier circuit (13), the filter circuit (14), the variable gain amplifier circuit (15) and the Bluetooth transmission circuit (16) are connected in series with each other; and the myoelectric signal electrode sensors (1) are connected to the acceleration acquisition circuit (10).

3. The electromyographic signal amplifier according to claim 1, characterized in that: A Velcro round hair portion (4) is provided at one end of the inner side (2) of the detection bag, a Velcro burr portion (5) is provided at one end of the outer side (3) of the detection bag, and a switch key (17) is provided at the outer side (3) of the detection bag.

4. The electromyographic signal amplifier according to claim 3, characterized in that: A silicone anti-slip strip (6) is provided on the vertical side of the inner side (2) of the detection bag.

5. The electromyographic signal amplifier according to claim 2, characterized in that: A silica gel insulating coating (8) is provided inside the detection bag.

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