Real-time autonomic nerve activity monitoring method based on short-time scatter diagram

Through the real-time monitoring method of autonomic neural activity based on short-term scatter plots, the biological signal acquisition equipment is used to collect and analyze the ECG signals in real time, solving the problem of time delay in traditional methods, and achieving efficient and accurate monitoring of autonomic neural activity.

CN119724625AInactive Publication Date: 2025-03-28AN HUI HU HONG SHENG WU KE JI YOU XIAN GONG SI
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Patent Information

Application Number
CN202411823133.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-12
Publication Date
2025-03-28
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Traditional autonomous neural activity monitoring methods are based on data analysis over a long period of time, making it difficult to achieve real-time and efficient monitoring, and there is a problem of time delay.

Method used

The real-time monitoring method of autonomic neural activity based on short-term scatter plots is adopted, and the electrocardiogram is collected in real time through biological signal acquisition equipment, short-term RR interval sequence is constructed, short-term Poincaré scatter plots are drawn, feature parameters such as standard deviations are extracted, and autonomic activity status is evaluated in real time.

Benefits of technology

A significant shortening of monitoring time is achieved, with a minimum of up to 1 second. Real-time monitoring of autonomous neural activity is achieved through short-term data analysis, reducing time delay and improving monitoring accuracy.

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Abstract

The invention relates to the technical field of biomedical signal processing, in particular to an autonomic nerve activity real-time monitoring method based on a short-time scatter diagram, which comprises the following steps: data acquisition, acquisition of electrocardiosignals of a detected object in real time by using a biological signal acquisition device, and heart rate variability analysis. Extracting R wave positions from the collected electrocardiosignals through an R wave detection algorithm, calculating adjacent R wave intervals, and further constructing an RR interval sequence; according to the autonomic nerve activity real-time monitoring method based on the short-time scatter diagram, the monitoring time can be greatly shortened, the minimum monitoring time can reach 1 second, real-time monitoring of autonomic nerve activity is achieved through short-time data analysis, and time delay is reduced.
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Description

Technical Field

[0001] The present invention relates to the technical field of biomedical signal processing, and in particular to a real-time monitoring method for autonomic nerve activity based on a short-time scattergram. Background Art

[0002] The autonomic nervous system plays a vital role in regulating human physiological functions, including the sympathetic and parasympathetic parts, and the monitoring of autonomic nervous activity is of great significance. Traditional methods are usually based on longer time periods, such as 24 hours or 5 minutes of heart rate variability analysis, which has a time delay problem in real-time monitoring.

[0003] In the prior art, although there are HRV analysis methods based on Poincaré scatter plots, most of them still use data from a longer period of time for analysis, making it difficult to achieve real-time and efficient autonomic nervous activity monitoring. Summary of the invention

[0004] The purpose of the present invention is to provide a real-time monitoring method for autonomic nervous activity based on a short-term scattergram to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a method for real-time monitoring of autonomic nervous activity based on a short-term scattergram, the method comprising the following steps: Step 1: Data collection, using biological signal collection equipment to collect the ECG signal of the subject in real time; Step 2: Heart rate variability analysis: extract the R wave position from the collected ECG signal through the R wave detection algorithm, calculate the adjacent R wave intervals, and then construct the RR interval sequence; Step 3: Construct a short-time scatter plot, with each RR interval in the RR interval sequence as the x-axis and its subsequent RR interval as the y-axis, and draw a Poincaré scatter plot; Step 4: Feature extraction, extracting feature parameters from the short-time scatter plot. The feature parameters include the standard deviation in the short axis direction of the scatter plot and the standard deviation in the long axis direction of the scatter plot. The feature parameters can reflect the dynamic changes of autonomic nervous activity. Step 5: Real-time monitoring and evaluation: Based on the extracted characteristic parameters, the autonomic nervous activity state of the subject is evaluated in real time, including the balance of the sympathetic and parasympathetic nerves.

[0006] The biological signal acquisition device includes an acquisition device host and a limb clamp that are connected to each other, the limb clamp is provided with an arc bending pressure cylinder, and the limb clamp is pushed to clamp by the arc bending pressure cylinder, and a control base is fixedly provided on the limb clamp, and a cylindrical inner cavity is opened inside the control base, and a floating piston is provided inside the cylindrical inner cavity, and the floating piston is in airtight contact with the cylindrical inner cavity, and an overpressure detection contact piece and an underpressure detection contact piece are respectively provided on both sides of the floating piston, and an adjustment sub-seat is fixedly provided on the surface of the control base, and the cylindrical inner cavity is connected to the adjustment sub-seat. When the floating piston contacts the overpressure detection contact piece, the adjustment sub-seat automatically increases the volume; when the floating piston contacts the underpressure detection contact piece, the adjustment sub-seat automatically reduces the volume; a metal spring is provided on the side of the floating piston away from the underpressure detection contact piece, and the metal spring applies an elastic thrust to the floating piston to move axially toward the underpressure detection contact piece.

[0007] A conformable piston is arranged inside the arc bending pressure cylinder, and the conformable piston is in airtight contact with the inner wall surface of the arc bending pressure cylinder. An arc bending cylinder shaft is fixedly arranged on the conformable piston, and the arc bending cylinder shaft is fixed to the limb clamp. An interconnecting cavity is opened inside the limb clamp, and one end of the interconnecting cavity is connected to the inner cavity of the arc bending pressure cylinder, and the other end is connected to the inner cavity of the cylinder.

[0008] The inner wall surface of the cylindrical inner cavity is fixedly provided with a limit protection convex ring, and the limit protection convex ring is respectively arranged at two sides of the floating piston, and the limit protection convex ring is used to axially limit the floating piston.

[0009] An adjusting cavity is provided inside the adjusting seat, an adjusting piston is arranged inside the adjusting cavity, the adjusting piston is in airtight contact with the adjusting cavity, an end through groove is provided at the end of the adjusting cavity, and the adjusting cavity is connected with the cylindrical inner cavity through the end through groove.

[0010] An L-shaped driving frame is fixedly arranged on the side surface of the regulating piston away from the end through groove, and the L-shaped driving frame extends out of the regulating sub-seat, and a driving screw rod is inserted in the L-shaped driving frame.

[0011] The driving screw is spirally matched with the L-shaped driving frame. When the driving screw rotates, it can drive the L-shaped driving frame to move along the axial direction of the adjustment cavity. A motor module is fixedly arranged on the limb clamp, and the motor module is used to drive the driving screw to rotate.

[0012] A split mounting portion is provided on the outside of the control base, the metal spring is fixedly mounted on the split mounting portion, a track rod is provided on the split mounting portion, a limiting sleeve is fixedly provided on the control base, the track rod is limitedly inserted through the limiting sleeve, and an anti-slip limit seat is fixedly provided on the end of the track rod.

[0013] A fork frame lock is arranged on the outside of the control base, and the end of the fork frame lock is inserted into the track rod through the limiting sleeve, so that the track rod and the limiting sleeve are limited and fixed; the fork frame lock is provided with a telescopic driver for controlling the telescopic movement of the fork frame lock, and the telescopic driver can control the retraction movement of the fork frame lock after being energized, so that the fork frame lock is pulled out of the track rod, and the track rod can move relative to the limiting sleeve.

[0014] An inner electrode sheet is attached to the inner surface of the limb clamp, an electrode shaft is arranged on the inner electrode sheet, a fixing buckle is buckled and installed on the electrode shaft, a detection wire is connected to the fixing buckle, and the detection wire is conductively connected to the host of the acquisition device.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The real-time monitoring method of autonomic nervous activity based on short-time scatter plot of the present invention can significantly shorten the monitoring time to as low as 1 second. Through short-time data analysis, real-time monitoring of autonomic nervous activity can be achieved and time delay can be reduced. Feature extraction based on short-time scatter plot can accurately reflect the dynamic changes of autonomic nervous activity with higher accuracy.

[0016] The limb clamp in the biological signal collection device of the present invention can maintain basically the same clamping pressure when clamping limbs of different diameters. When facing people of different fat and thin bodies or different parts of the arms and legs, the clamping pressure changes can be greatly reduced, which not only improves the clamping comfort, but also helps to reduce the impact of bioelectric collection. Through the structural settings such as the split mounting part, the track plug rod and the fork frame lock, the biological signal collection device can automatically and quickly reduce the clamping pressure of the limb clamp in an emergency, thereby reducing the impact on the monitored person. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 Schematic diagram of the biological signal acquisition device of the present invention.

[0018] Figure 2 It is a schematic diagram of a limb clamp of the present invention.

[0019] Figure 3 for Figure 2 A magnified schematic diagram of area A in the middle.

[0020] Figure 4 It is a three-dimensional half-section schematic diagram of the limb clamp of the present invention.

[0021] Figure 5 for Figure 4 Enlarged schematic diagram of area B in the middle.

[0022] Figure 6 It is a three-dimensional half-section front view of the limb clamp of the present invention.

[0023] Figure 7 for Figure 6 Enlarged schematic diagram of area C in the middle.

[0024] Figure 8 It is a schematic diagram of the local structure of the limb clamp of the present invention.

[0025] Fig. 9 for Figure 8 Enlarged schematic diagram of area D in the middle.

[0026] In the figure: 1. acquisition equipment host; 2. limb clamp; 3. arc bending pressure cylinder; 4. control base; 5. cylindrical inner cavity; 6. floating piston; 7. overpressure detection contact; 8. underpressure detection contact; 9. adjustment sub-seat; 10. metal spring; 301. conformal piston; 302. arc bending cylinder shaft; 303. interconnecting cavity; 501. limit protection convex ring; 901. adjustment cavity; 902. adjustment piston; 903. end through groove; 904. L-shaped drive frame; 905. drive screw; 906. motor module; 401. split installation part; 402. track plug rod; 403. limit sliding sleeve; 404. anti-drop limit seat; 405. fork frame lock; 406. telescopic drive; 101. detection wire; 102. fixing buckle; 103. electrode shaft; 104. inner electrode sheet. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] The present invention provides a technical solution: a method for real-time monitoring of autonomic nervous activity based on a short-term scattergram, the method comprising the following steps: Step 1: Data collection, using biological signal collection equipment to collect the ECG signal of the subject in real time; Step 2: Short-term heart rate variability analysis: extract the R wave position from the collected ECG signal through the existing open source R wave detection algorithm, calculate the intervals between adjacent R waves, use 30 seconds as a sliding window and 1 second as a data segment to construct a short-term RR interval sequence;.

[0029] Step 3: Construct a short-time scatter plot, with each RR interval in the short-time RR interval sequence as the x-axis and its subsequent RR interval as the y-axis, and draw a short-time Poincaré scatter plot; Step 4: Feature extraction. Extract feature parameters from the short-time scatter plot. The feature parameters include the standard deviation in the short-axis direction of the scatter plot and the standard deviation in the long-axis direction of the scatter plot. The feature parameters can reflect the dynamic changes of autonomic nervous activity. The standard deviation in the short-axis direction mainly reflects the degree of discreteness of adjacent heartbeat intervals perpendicular to the main change direction. The standard deviation in the short-axis direction can reflect the immediate activity state of the parasympathetic nerves and the short-term heart rate variability caused by it to a certain extent.

[0030] The long axis direction is usually closely related to the continuous change of adjacent heartbeat intervals. When the standard deviation in the long axis direction is large, it means that the degree of dispersion of adjacent heartbeat intervals in the main change direction is high. From the perspective of autonomic nervous activity, this reflects the large fluctuation of heart rate regulation over a longer time span or in the main regulation direction under the combined action of sympathetic and parasympathetic nerves.

[0031] Step 5: Real-time monitoring and evaluation: Based on the extracted characteristic parameters, the autonomic nervous activity state of the subject is evaluated in real time, including the balance of the sympathetic and parasympathetic nerves.

[0032] The above monitoring method can significantly shorten the monitoring time to as low as 1 second. Through short-term data analysis, real-time monitoring of autonomic nervous activity can be achieved, reducing time delays.

[0033] See also Figures 1 to 9 The biological signal acquisition device includes an acquisition device host 1 and a limb clamp 2 which are connected to each other. The limb clamp 2 is provided with an arc bending pressure cylinder 3, which pushes the limb clamp 2 to clamp. A control base 4 is fixedly provided on the limb clamp 2. A cylindrical inner cavity 5 is opened inside the control base 4. A floating piston 6 is arranged inside the cylindrical inner cavity 5. The floating piston 6 is in airtight contact with the cylindrical inner cavity 5. Overpressure detection contacts 7 and underpressure detection contacts 8 are arranged on both sides of the floating piston 6. An adjustment sub-seat 9 is fixedly provided on the surface of the control base 4. The cylindrical inner cavity 5 is connected with the adjustment sub-seat 9. When the floating piston 6 contacts the overpressure detection contact 7, the adjustment sub-seat 9 automatically increases the volume; when the floating piston 6 contacts the underpressure detection contact 8, the adjustment sub-seat 9 automatically reduces the volume; a metal spring 10 is arranged on the side of the floating piston 6 away from the underpressure detection contact 8, and the metal spring 10 applies an elastic thrust to the floating piston 6 to move axially toward the underpressure detection contact 8.

[0034] A conformal piston 301 is arranged inside the arc bending pressure cylinder 3, and the conformal piston 301 is in airtight contact with the inner wall surface of the arc bending pressure cylinder 3. An arc bending cylinder shaft 302 is fixedly arranged on the conformal piston 301, and the arc bending cylinder shaft 302 is fixed to the limb clamp 2. An interconnecting cavity 303 is opened inside the limb clamp 2, and one end of the interconnecting cavity 303 is connected to the inner cavity of the arc bending pressure cylinder 3, and the other end is connected to the cylindrical inner cavity 5.

[0035] The inner wall surface of the cylindrical inner cavity 5 is fixedly provided with a limit protection convex ring 501 . The limit protection convex ring 501 is respectively provided at two sides of the floating piston 6 . The limit protection convex ring 501 is used to axially limit the floating piston 6 .

[0036] An adjusting cavity 901 is provided inside the adjusting sub-seat 9, and an adjusting piston 902 is provided inside the adjusting cavity 901. The adjusting piston 902 is in airtight contact with the adjusting cavity 901. An end through-slot 903 is provided at the end of the adjusting cavity 901, and the adjusting cavity 901 is connected with the cylindrical inner cavity 5 through the end through-slot 903. An L-shaped driving frame 904 is fixedly provided on the surface of the adjusting piston 902 on one side away from the end through-slot 903. The L-shaped driving frame 904 extends to the outside of the adjusting sub-seat 9, and a driving screw 905 is inserted in the L-shaped driving frame 904.

[0037] The driving screw 905 is spirally matched with the L-shaped driving frame 904. When the driving screw 905 rotates, it can drive the L-shaped driving frame 904 to move along the axial direction of the adjustment cavity 901. A motor module 906 is fixedly provided on the limb clamp 2, and the motor module 906 is used to drive the driving screw 905 to rotate.

[0038] A split mounting portion 401 is provided on the outside of the control base 4, and the metal spring 10 is fixedly installed on the split mounting portion 401. A track rod 402 is provided on the split mounting portion 401. A limiting sleeve 403 is fixedly provided on the control base 4. The track rod 402 is limitedly inserted through the limiting sleeve 403, and an anti-slip limit seat 404 is fixedly provided on the end of the track rod 402.

[0039] The control base 4 is provided with a fork frame lock 405 on the outside, and the end of the fork frame lock 405 is inserted through the limiting sleeve 403 into the track plug rod 402, so that the track plug rod 402 and the limiting sleeve 403 are fixed in position; the fork frame lock 405 is provided with a telescopic driver 406 for controlling the telescopic movement of the fork frame lock 405, and the telescopic driver 406 can control the fork frame lock 405 to retract after being energized, so that the fork frame lock 405 is pulled out of the track plug rod 402, and the track plug rod 402 can move relative to the limiting sleeve 403. The telescopic driver 406 is composed of an electromagnet, a magnetic attraction plate, a reset spring, etc., and the electromagnet is energized to attract the magnetic attraction plate to move, so that the fork frame lock 405 retracts.

[0040] An inner electrode sheet 104 is attached to the inner surface of the limb clamp 2, an electrode shaft 103 is arranged on the inner electrode sheet 104, a fixing buckle 102 is buckled and installed on the electrode shaft 103, a detection wire 101 is connected to the fixing buckle 102, and the detection wire 101 is conductively connected to the acquisition device host 1.

[0041] When the biological signal acquisition device of the present invention is in use, the acquisition device host 1 is also connected with an electrode sheet for being attached to the corresponding part of the object to be measured, and the limb of the object to be measured is clamped by the limb clamp 2 for acquisition.

[0042] like Figure 4 and Figure 5 As shown in the figure, in the initial state, there is positive pressure in the arc bending pressure cylinder 3 and the cylindrical inner cavity 5, and the floating piston 6 is balanced with the positive pressure under the elastic pressure of the metal spring 10, so that the floating piston 6 is between the overpressure detection contact piece 7 and the underpressure detection contact piece 8, and has no contact with the overpressure detection contact piece 7 and the underpressure detection contact piece 8.

[0043] When the limb clamp 2 is to be opened, the upper part of the limb clamp 2 is pressed, and the conformable piston 301 compresses the inside of the arc bending pressure cylinder 3, so that the air pressure in the arc bending pressure cylinder 3 and the cylindrical inner cavity 5 increases, and at this time, the floating piston 6 contacts and conducts with the overpressure detection contact piece 7 under the action of air pressure. When the floating piston 6 contacts the overpressure detection contact piece 7, the control regulating piston 902 moves downward in the regulating cavity 901, gradually increasing the volume, and at this time, the hand continues to follow up and press, so that the limb clamp 2 gradually opens.

[0044] The limb clamp 2 is clamped on the limb of the object to be tested, and then the pressure is released; after the hand pressure is lost, the positive pressure in the arc bending pressure cylinder 3 and the cylindrical inner cavity 5 will push the conforming piston 301 to move to the left, and the internal pressure of the arc bending pressure cylinder 3 and the cylindrical inner cavity 5 will decrease. The floating piston 6 contacts the under-pressure detection contact piece 8 under the elastic thrust of the metal spring 10. When the floating piston 6 contacts the under-pressure detection contact piece 8, the regulating cavity 901 is controlled to move upward to reduce the volume, and the limb clamp 2 is gradually closed. When the limb clamp 2 contacts the limb and generates a certain pressure, the conforming piston 301 is blocked from moving left. As the regulating piston 902 continues to move upward, the pressure inside the arc bending pressure cylinder 3 and the cylindrical inner cavity 5 increases. At this time, the floating piston 6 moves to the left under the action of pressure, and the floating piston 6 is separated from the under-pressure detection contact piece 8. When the floating piston 6 is separated from the under-pressure detection contact piece 8, the regulating piston 902 stops moving immediately, and the floating piston 6 is between the over-pressure detection contact piece 7 and the under-pressure detection contact piece 8. At this time, the pressure fluctuations of the arc bending pressure cylinder 3 and the cylindrical inner cavity 5 are small, so that the clamping pressure fluctuations of the limb clamp 2 are extremely small. It can be considered that the clamping pressure of the limb clamp 2 is basically unchanged at different clamping opening and closing angles. For the limb clamp with a traditional spring structure, the smaller the opening and closing angle is during clamping, the weaker the clamping force is, and the larger the opening and closing angle is, the greater the clamping force is, which will not only cause the limb with a larger diameter to be clamped too tightly, but also different clamping pressures will change the contact resistance of the inner electrode sheet 104, which will have a negative impact on the collection of bioelectricity.

[0045] The lifting and lowering control of the regulating piston 902 in the present invention is as follows: Fig. 9As shown in the figure, the forward and reverse rotation of the driving screw 905 can be controlled by the motor module 906. The motor module 906 only needs to be associated with the overvoltage detection contact piece 7 and the undervoltage detection contact piece 8 through the forward and reverse wiring. There is no need to add other electrical components, which effectively reduces the cost.

[0046] In emergency situations such as when the subject is critically ill, the telescopic drive 406 is powered to control the fork frame lock 405 to retract. At this time, the track rod 402 and the limit sleeve 403 are unlocked, and the split mounting portion 401 can move backward along the axial direction of the floating piston 6. At this time, the bending degree of the metal spring 10 is reduced, thereby reducing the elastic pressure of the metal spring 10. When the elastic pressure of the metal spring 10 is reduced, the floating piston 6 moves to the left and contacts the overpressure detection contact 7. At this time, the regulating piston 902 moves downward to increase the volume, so that the floating piston 6 returns to its original position between the overpressure detection contact 7 and the underpressure detection contact 8. At this time, the internal pressure of the arc bending pressure cylinder 3 and the cylindrical inner cavity 5 is reduced, thereby reducing the clamping pressure of the limb clamp 2 and reducing the limb compression effect on the subject being measured.

[0047] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A real-time monitoring method for autonomic nervous activity based on short-term scatter plot, characterized in that: The method comprises the following steps: Step 1: Data collection, using biological signal collection equipment to collect the ECG signal of the subject in real time; Step 2: Heart rate variability analysis: extract the R wave position from the collected ECG signal through the R wave detection algorithm, calculate the intervals between adjacent R waves, and then construct the RR interval sequence; Step 3: Construct a short-time scatter plot, with each RR interval in the RR interval sequence as the x-axis and its subsequent RR interval as the y-axis, and draw a Poincaré scatter plot; Step 4: Feature extraction, extracting feature parameters from the short-time scatter plot. The feature parameters include the standard deviation in the short axis direction of the scatter plot and the standard deviation in the long axis direction of the scatter plot. The feature parameters can reflect the dynamic changes of autonomic nervous activity. Step 5: Real-time monitoring and evaluation: Based on the extracted characteristic parameters, the autonomic nervous activity state of the subject is evaluated in real time, including the balance of the sympathetic and parasympathetic nerves.

2. The method for real-time monitoring of autonomic nervous activity based on short-term scattergram according to claim 1, characterized in that: The biological signal acquisition device comprises an acquisition device host (1) and a limb clamp (2) which are connected to each other, the limb clamp (2) being provided with an arc bending pressure cylinder (3), and the limb clamp (2) is pushed by the arc bending pressure cylinder (3) to clamp, the limb clamp (2) being fixedly provided with a control base (4), the control base (4) having a cylindrical inner cavity (5) formed therein, the cylindrical inner cavity (5) having a floating piston (6) formed therein, the floating piston (6) being in airtight contact with the cylindrical inner cavity (5), and overpressure detection contact pieces (7) and underpressure detection contact pieces (8) being respectively provided on both sides of the floating piston (6). The control base (4) is provided with an adjusting sub-seat (9) fixedly disposed on its surface, the cylindrical inner cavity (5) is communicated with the adjusting sub-seat (9), when the floating piston (6) contacts the overpressure detection contact piece (7), the adjusting sub-seat (9) automatically increases in volume; when the floating piston (6) contacts the underpressure detection contact piece (8), the adjusting sub-seat (9) automatically decreases in volume; a metal spring (10) is disposed on a side of the floating piston (6) away from the underpressure detection contact piece (8), the metal spring (10) exerts an elastic thrust on the floating piston (6) to axially move the floating piston (6) toward the underpressure detection contact piece (8).

3. The method for real-time monitoring of autonomic nervous activity based on short-term scattergram according to claim 2, characterized in that: A conformable piston (301) is arranged inside the arc bending pressure cylinder (3), and the conformable piston (301) is in airtight contact with the inner wall surface of the arc bending pressure cylinder (3). An arc bending cylinder shaft (302) is fixedly arranged on the conformable piston (301), and the arc bending cylinder shaft (302) is fixed to the limb clamp (2). An interconnecting cavity (303) is opened inside the limb clamp (2), and one end of the interconnecting cavity (303) is connected to the inner cavity of the arc bending pressure cylinder (3), and the other end is connected to the cylindrical inner cavity (5).

4. The method for real-time monitoring of autonomic nervous activity based on short-term scattergram according to claim 2, characterized in that: A limit protection convex ring (501) is fixedly provided on the inner wall surface of the cylindrical inner cavity (5), and the limit protection convex ring (501) is respectively provided on both sides of the floating piston (6), and the limit protection convex ring (501) is used to axially limit the floating piston (6).

5. The method for real-time monitoring of autonomic nervous activity based on short-term scattergram according to claim 2, characterized in that: An adjusting cavity (901) is provided inside the adjusting sub-seat (9), an adjusting piston (902) is provided inside the adjusting cavity (901), the adjusting piston (902) is in airtight contact with the adjusting cavity (901), an end through groove (903) is provided at the end of the adjusting cavity (901), and the adjusting cavity (901) is connected to the cylindrical inner cavity (5) through the end through groove (903).

6. The method for real-time monitoring of autonomic nervous activity based on short-term scattergram according to claim 5, characterized in that: An L-shaped drive frame (904) is fixedly arranged on a side surface of the regulating piston (902) away from the end through slot (903), the L-shaped drive frame (904) extends to the outside of the regulating sub-seat (9), and a drive screw rod (905) is inserted into the L-shaped drive frame (904).

7. The method for real-time monitoring of autonomic nervous activity based on short-term scattergram according to claim 6, characterized in that: The driving screw (905) is screw-matched with the L-shaped driving frame (904), and when the driving screw (905) rotates, it can drive the L-shaped driving frame (904) to move along the axial direction of the adjustment cavity (901). A motor module (906) is fixedly arranged on the limb clamp (2), and the motor module (906) is used to drive the driving screw (905) to rotate.

8. The method for real-time monitoring of autonomic nervous activity based on short-term scattergram according to claim 2, characterized in that: The control base (4) is provided with a split mounting portion (401) on the outside, the metal spring (10) is fixedly mounted on the split mounting portion (401), a track plug rod (402) is provided on the split mounting portion (401), a limiting sleeve (403) is fixedly provided on the control base (4), the track plug rod (402) is limitedly inserted through the limiting sleeve (403), and an anti-drop limit seat (404) is fixedly provided at the end of the track plug rod (402).

9. The method for real-time monitoring of autonomic nervous activity based on short-term scattergram according to claim 8, characterized in that: A fork frame lock (405) is arranged on the outside of the control base (4), and the end of the fork frame lock (405) is inserted into the track plug rod (402) through the limiting sliding sleeve (403), so that the track plug rod (402) and the limiting sliding sleeve (403) are limited and fixed; the fork frame lock (405) is provided with a telescopic driver (406) for controlling the telescopic movement of the fork frame lock (405), and the telescopic driver (406) can control the fork frame lock (405) to retract and move after being energized, so that the fork frame lock (405) is pulled out of the track plug rod (402), and at this time the track plug rod (402) can move relative to the limiting sliding sleeve (403).

10. The method for real-time monitoring of autonomic nervous activity based on short-term scattergram according to claim 2, characterized in that: An inner electrode sheet (104) is attached to the inner surface of the limb clamp (2), an electrode shaft (103) is arranged on the inner electrode sheet (104), a fixing buckle (102) is buckled and installed on the electrode shaft (103), a detection wire (101) is connected to the fixing buckle (102), and the detection wire (101) is conductively connected to the acquisition device host (1).