Traction bed adjusting method, device and equipment and storage medium

Abstract

The invention relates to a traction bed adjusting method and device, equipment and a storage medium. According to the main technical scheme, the method comprises the following steps: acquiring a skin pain signal of a to-be-dragged part, a spine angle and a measurement distance of a skin electrical activity sensor, and judging whether a traction force currently generated by a traction bed on the to-be-dragged part causes pain or not according to the skin pain signal; when the traction force of the to-be-dragged part does not cause pain, the traction bed continues to be adjusted according to the spine angle, the measurement distance of the skin electrical activity sensor and preset intervertebral disc data, the pain feeling of a patient can be objectively evaluated, and it is guaranteed that the traction effect of the traction equipment is optimal.

Description

Technical Field

[0001] The present application relates to the technical field of medical devices, and in particular to a traction bed adjustment method, device, equipment and storage medium. Background Art

[0002] Degenerative spinal diseases mainly include lumbar and cervical diseases. With the development of social economy and the decrease in people's physical activity, their incidence rates are increasing year by year. The treatment methods for such diseases can be divided into surgical treatment and non-surgical treatment. Traction therapy is an effective method that can be widely used in both non-surgical treatment and postoperative rehabilitation. Traction therapy can increase the intervertebral space of the spine by stretching the body, promote the retraction of the protruding intervertebral disc, and thus relieve the related compression symptoms.

[0003] At present, traction therapy is mainly carried out in departments such as rehabilitation, orthopedics and neurosurgery. The traction equipment used includes traction beds, traction chairs and other simple traction devices. These devices have two modes: manual adjustment and intelligent automatic adjustment. However, the adjustment standards of these devices usually rely on the patient's pain feedback, and gradually increase the pulling force within the range that the patient can bear. However, since everyone's pain sensitivity is different, this method is not always accurate. For example, some patients with high pain sensitivity ask to stop before the effective traction intensity is reached, affecting the treatment effect; and patients with high pain tolerance may be injured due to excessive traction. In particular, children patients' pain feedback is not accurate enough, and it is difficult to objectively evaluate the patient's pain sensation, resulting in unsatisfactory traction effect of the traction device. Summary of the invention

[0004] Based on this, the present application provides a traction bed adjustment method, device, equipment and storage medium to solve the problem that the patient's pain sensation cannot be objectively evaluated, resulting in unsatisfactory traction effect of the traction device.

[0005] In a first aspect, a traction bed adjustment method is provided, which is applied to a traction bed adjustment system, wherein the traction bed adjustment system comprises a skin electrical activity sensor and a skin electrical signal artificial intelligence processor, wherein the skin electrical activity sensor is connected to the skin electrical signal artificial intelligence processor, and the skin electrical activity sensor is placed at the uppermost spine and the lowermost spine of the part to be tractioned; the method comprises:

[0006] Obtain skin pain signals, spinal angles and measurement distances of skin electrical activity sensors at the site to be pulled;

[0007] According to the skin pain signal, it is determined whether the traction force currently generated by the traction part to be tractioned by adjusting the traction bed causes pain;

[0008] When the traction force of the part to be tractioned does not cause pain, the traction bed continues to be adjusted according to the spinal angle, the measurement distance of the skin electrode activity sensor and the preset intervertebral disc data.

[0009] According to an achievable method in an embodiment of the present application, judging whether the traction force currently generated by the traction bed on the traction part causes pain according to the skin pain signal includes:

[0010] If the peak value of the current waveform of the skin pain signal is greater than the peak value of the waveform generated by the last force application, it is determined that the traction bed is adjusted to cause pain due to the traction force currently generated at the traction site;

[0011] If the peak value of the current waveform of the skin pain signal is less than or equal to the peak value of the waveform generated by the last force application, it is determined that the traction force currently generated by adjusting the traction bed to the traction part does not cause pain.

[0012] According to an achievable method in an embodiment of the present application, when the traction force of the part to be tractioned does not cause pain, the traction bed is continuously adjusted according to the spinal angle, the measured distance of the skin electrical activity sensor and the preset intervertebral disc data, including:

[0013] According to the spinal angle, determine whether to adjust the traction bed to apply traction to the part to be tractioned;

[0014] When it is determined that the traction bed needs to be adjusted to apply traction force to the traction site, the ideal traction force to be applied to the traction site is calculated according to the measured distance of the skin electrical activity sensor and the preset intervertebral disc data;

[0015] Based on the ideal traction force, continue to adjust the traction table.

[0016] According to an achievable method in an embodiment of the present application, determining whether to adjust the traction bed to apply traction to the traction part according to the spinal angle includes:

[0017] If the change value of the spine angle is greater than or equal to the preset spine angle change threshold, it is determined to pause adjusting the traction bed to apply traction to the traction part;

[0018] If the change value of the spine angle is less than a preset spine angle change threshold, it is determined to adjust the traction bed to apply traction to the part to be tractioned.

[0019] According to an achievable method in an embodiment of the present application, the preset intervertebral disc data includes a preset intervertebral disc ratio value and a preset intervertebral disc compression interval; according to the measurement distance of the skin electrical activity sensor and the preset intervertebral disc data, the ideal traction force applied to the traction part is calculated, including:

[0020] According to the measurement distance of the skin electrical activity sensor and the preset intervertebral disc ratio value, the length of the intervertebral disc to be pulled is determined;

[0021] The ideal traction force to be applied to the traction site is calculated according to the disc length of the traction site and the preset intervertebral disc compression range.

[0022] According to an achievable method in the embodiment of the present application, the preset intervertebral disc ratio is 20%.

[0023] According to an achievable method in an embodiment of the present application, the preset intervertebral disc compression range is 20%-90%.

[0024] In a second aspect, a traction bed adjustment device is provided, which is arranged in a traction bed adjustment system, the traction bed adjustment system includes a skin electrical activity sensor and a skin electrical signal artificial intelligence processor, the skin electrical activity sensor is connected to the skin electrical signal artificial intelligence processor, and the skin electrical activity sensor is placed at the uppermost spine and the lowermost spine of the part to be tractioned; the device includes:

[0025] An acquisition module, used for acquiring skin pain signals of a part to be pulled, a spinal column angle, and a measurement distance of a skin electrical activity sensor;

[0026] A judgment module, used for judging whether the traction force currently generated by the traction bed on the traction part causes pain according to the skin pain signal;

[0027] The adjustment module is used to continue adjusting the traction bed according to the spinal angle, the measured distance of the skin electrical activity sensor and the preset intervertebral disc data when the traction force on the part to be tractioned does not cause pain.

[0028] In a third aspect, a computer device is provided, comprising:

[0029] at least one processor; and

[0030] a memory communicatively connected to the at least one processor; wherein,

[0031] The memory stores computer instructions that can be executed by the at least one processor, and the computer instructions are executed by the at least one processor to enable the at least one processor to perform the method involved in the first aspect above.

[0032] In a fourth aspect, a computer-readable storage medium is provided, on which computer instructions are stored, characterized in that the computer instructions are used to enable a computer to execute the method involved in the first aspect above.

[0033] According to the technical content provided in the embodiments of the present application, by obtaining the skin pain signal of the part to be pulled, the spinal angle and the measured distance of the skin electrical activity sensor, it is determined whether the traction force currently generated by adjusting the traction bed on the part to be pulled causes pain according to the skin pain signal. When the traction force of the part to be pulled does not cause pain, the traction bed is continued to be adjusted according to the spinal angle, the measured distance of the skin electrical activity sensor and the preset intervertebral disc data, so as to objectively evaluate the patient's pain sensation and ensure that the traction effect of the traction equipment is optimal. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 A schematic diagram of a flow chart of a traction bed adjustment method in one embodiment;

[0035] Figure 2 is a structural block diagram of a traction bed adjustment device in one embodiment;

[0036] Figure 3 FIG. 4 is a schematic structural diagram of a computer device in one embodiment. DETAILED DESCRIPTION

[0037] The present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0038] For ease of understanding, the system to which this application is applicable is first described. The traction bed adjustment method provided in this application can be applied to the traction bed adjustment system. The traction bed adjustment system includes a skin electrical activity sensor, a skin electrical signal artificial intelligence processor, a traction bed power module, a traction bed body, a traction fixing belt and a traction garment. Among them, the skin electrical activity sensor is connected to the skin electrical signal artificial intelligence processor, the skin electrical activity sensor is placed at the uppermost spine and the lowermost spine of the part to be tractioned, the skin electrical signal artificial intelligence processor is connected to the traction bed power module, the traction bed power module is connected to the traction bed body and the traction part fixing belt through a power chain, and the traction part fixing belt is set on the traction bed body. The skin electrical activity sensor includes 2-10 electrode sheets, electrode wires and a signal primary processor, which is used to collect and record the skin pain signal, the spinal column angle and the measurement distance of the skin electrical activity sensor at the part to be tractioned, and the signal primary processor is used to preliminarily monitor the change of the electrical signal and alarm in time. The skin electrical signal artificial intelligence processor is used to calculate the appropriate traction force according to the spinal column angle and the measurement distance of the skin electrical activity sensor. The traction bed power module is used to accurately apply traction force to the part to be traction to the traction bed body and the traction fixing belt through the power chain. The traction bed, traction fixing belt and traction clothing are used together to fix the front and rear ends of the traction part and provide traction points. The traction fixing belt may include a neck / waist / lower limb fixing belt.

[0039] Figure 1 A flow chart of a traction bed adjustment method provided in an embodiment of the present application, such as Figure 2 As shown, the method may include the following steps:

[0040] S110, obtaining the skin pain signal of the part to be pulled, the spinal column angle and the measurement distance of the skin electrical activity sensor.

[0041] The part to be pulled can be the neck or the waist. The electrodes of the skin electrical activity sensor are placed on the uppermost spine and the lowermost spine of the part to be pulled, respectively. The uppermost spine is the first spine of the part to be pulled, and the lowermost spine is the last spine of the part to be pulled. The skin electrical activity sensor can collect skin pain signals, spine angles and measurement distances of the skin electrical activity sensor at the part to be pulled in real time. The measurement distance of the skin electrical activity sensor is the distance between the electrodes placed at the uppermost spine and the lowermost spine, which is basically equivalent to the length of the spine at the part to be pulled.

[0042] S120, judging whether the traction force currently generated by the traction bed on the traction part causes pain according to the skin pain signal.

[0043] The skin pain signal is an electrical signal that appears as a wave-like waveform with a peak value. The peak value describes the size of the range of change of the signal value. If the peak value of the waveform generated by the current force is smaller than the peak value of the waveform generated by the previous force, it indicates that the shape of the waveform at the current moment has changed from a large wave to a small wave, and the signal fluctuations have become smaller, indicating that the pain in the part to be traction has decreased. If the peak value of the waveform generated by the current force is larger than the peak value of the waveform generated by the previous force, it indicates that the shape of the waveform at the current moment has changed from a small wave to a large wave, and the signal fluctuations have become larger, indicating that the pain in the part to be traction has increased. Based on this, according to the skin pain signal, it is judged whether the traction force currently generated by the traction bed on the part to be traction causes pain.

[0044] S130, when the traction force on the part to be tractioned does not cause pain, the traction bed continues to be adjusted according to the spinal angle, the measurement distance of the skin electrical activity sensor and the preset intervertebral disc data.

[0045] When the traction force at the part to be traction does not cause pain, it indicates that the force can continue to be applied to the part to be traction. During the force application process, first determine whether the spinal angle at the part to be traction exceeds the normal physiological curvature. If the spinal angle at the part to be traction exceeds the normal physiological curvature, it will cause damage to the part to be traction, and the force application should be stopped in time. If the spinal angle at the part to be traction does not exceed the normal physiological curvature, the appropriate traction force is calculated based on the measured distance of the skin electrical activity sensor and the preset intervertebral disc data, and the traction bed is continued to be adjusted to ensure that the traction effect of the traction equipment is optimal while ensuring that the part to be traction is not damaged.

[0046] It can be seen that the embodiment of the present application obtains the skin pain signal of the part to be pulled, the spinal angle and the measured distance of the skin electrical activity sensor, and judges whether the traction force currently generated by adjusting the traction bed on the part to be pulled causes pain according to the skin pain signal. When the traction force of the part to be pulled does not cause pain, the traction bed is continued to be adjusted according to the spinal angle, the measured distance of the skin electrical activity sensor and the preset intervertebral disc data, so as to objectively evaluate the patient's pain sensation and ensure the best traction effect of the traction equipment.

[0047] As a feasible method, according to the skin pain signal, it is judged whether the traction force currently generated by the traction bed on the traction part causes pain, including:

[0048] If the peak value of the current waveform of the skin pain signal is greater than the peak value of the waveform generated by the last force application, it is determined that the traction bed is adjusted to cause pain due to the traction force currently generated at the traction site;

[0049] If the peak value of the current waveform of the skin pain signal is less than or equal to the peak value of the waveform generated by the last force application, it is determined that the traction force currently generated by adjusting the traction bed to the traction part does not cause pain.

[0050] If the peak value of the current waveform of the skin pain signal is greater than the peak value of the waveform generated by the previous force application, it indicates that the shape of the skin pain signal waveform at the current moment has changed from a small wave to a large wave. At this time, the skin pain is felt strongly. It is judged that the traction force currently generated by the traction bed to the traction part causes pain.

[0051] If the peak value of the current waveform of the skin pain signal is smaller than the peak value of the waveform generated by the last force applied, it indicates that the shape of the skin pain signal waveform at the current moment has changed from a large wave to a smaller wave. At this time, the skin pain sensation has been decreasing. It is judged that the traction force currently generated by the traction bed to the traction part does not cause pain.

[0052] If the peak value of the current waveform of the skin pain signal is equal to the peak value of the waveform at the previous moment, it indicates that the shape of the skin pain signal waveform at the current moment has not changed, and the skin pain sensation has not changed at this time. It is judged that the traction force currently generated by adjusting the traction bed to the traction part does not cause pain.

[0053] As an achievable method, when the traction force of the traction part does not cause pain, the traction bed is further adjusted according to the spinal angle, the measurement distance of the skin electrode activity sensor and the preset intervertebral disc data, including:

[0054] According to the spinal angle, determine whether to adjust the traction bed to apply traction to the part to be tractioned;

[0055] When it is determined that the traction bed needs to be adjusted to apply traction force to the traction site, the ideal traction force to be applied to the traction site is calculated according to the measured distance of the skin electrical activity sensor and the preset intervertebral disc data;

[0056] Based on the ideal traction force, continue to adjust the traction table.

[0057] When the traction force on the part to be traction does not cause pain, it indicates that the force can continue to be applied to the part to be traction. During the force application process, first determine whether the spinal angle of the part to be traction exceeds the normal physiological curvature. According to the spinal angle, determine whether to adjust the traction bed to apply traction to the part to be traction, including:

[0058] If the change value of the spine angle is greater than or equal to the preset spine angle change threshold, it is determined to pause adjusting the traction bed to apply traction to the traction part;

[0059] If the change value of the spine angle is less than a preset spine angle change threshold, it is determined to adjust the traction bed to apply traction to the part to be tractioned.

[0060] The preset spine angle change threshold is a spine angle change threshold determined based on the doctor's clinical experience and the normal physiological curvature of the human body. According to practical experience, the preset spine angle change threshold is best set to 15°.

[0061] The change value of the spinal angle is the change value between the current spinal angle and the spinal angle when the force was last applied. If the change value of the spinal angle is greater than or equal to the preset spinal angle change threshold, it indicates that the spinal angle of the part to be tractioned may exceed the normal physiological curvature. At this time, it is necessary to stop adjusting the traction bed to apply traction force to the part to be tractioned to avoid damage to the part to be tractioned.

[0062] If the change in the spinal angle is less than the preset spinal angle change threshold, it indicates that the spinal angle of the part to be traction does not exceed the normal physiological curvature. The traction bed can continue to be adjusted to apply traction force to the part to be tractioned so that the traction effect of the traction device can be optimized.

[0063] As a feasible method, the preset intervertebral disc data includes a preset intervertebral disc ratio value and a preset intervertebral disc compression interval; according to the measurement distance of the skin electrical activity sensor and the preset intervertebral disc data, the ideal traction force applied to the traction part is calculated, including:

[0064] According to the measurement distance of the skin electrical activity sensor and the preset intervertebral disc ratio value, the length of the intervertebral disc to be pulled is determined;

[0065] The ideal traction force to be applied to the traction site is calculated according to the disc length of the traction site and the preset intervertebral disc compression range.

[0066] The measuring distance of the skin electrode activity sensor is the distance between the measuring electrodes placed at the uppermost and lowermost ends of the spine, which is basically equivalent to the length of the spine to be pulled. The preset intervertebral disc ratio value is the proportion of the intervertebral disc in the entire spine to be pulled. Based on medical knowledge and clinical experience of doctors, the preset intervertebral disc ratio value is set to 20% for best results. The preset intervertebral disc ratio value preset intervertebral disc compression interval is the length interval that the part to be pulled can be stretched, and the preset intervertebral disc compression interval is an interval of a percentage value. Based on medical knowledge and clinical experience of doctors, the preset intervertebral disc compression interval is set to 20%-90% for best results.

[0067] Assume that the measuring distance of the skin electrical activity sensor is Lcm, the preset intervertebral disc ratio is 20%, the preset intervertebral disc compression range is 20%-90%, the intervertebral disc length of the part to be traction is about L / 5cm, the part to be traction needs to be stretched at least 20%*L / 5cm in length, this data is the lower limit, and 90%*L / 5cm in length is the upper limit. After obtaining the ideal range of the length that the part to be traction can stretch, based on the linear relationship between the stretching length and the traction force, the ideal traction force applied to the part to be traction is calculated, and the traction bed power module applies the ideal traction force to the part to be traction through the power chain to the traction bed body and the traction fixing belt.

[0068] By evaluating the pain through objective data, we can avoid errors in pain judgment at the site to be tractioned, making the application of traction force more accurate, so that the traction device can achieve the ideal traction effect.

[0069] It should be understood that although Figure 1 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in the application, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 1 At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0070] Figure 2 The structural diagram of a traction bed adjustment device provided in an embodiment of the present application is used to execute the method flow shown in FIG. Figure 2 As shown, the traction bed adjustment device 200 may include: an acquisition module 210, a judgment module 220 and an adjustment module 230. The main functions of each component module are as follows:

[0071] An acquisition module 210 is used to acquire a skin pain signal of a part to be pulled, a spinal column angle, and a measurement distance of a skin electrical activity sensor;

[0072] The judgment module 220 is used to judge whether the traction force currently generated by the traction bed on the traction part causes pain according to the skin pain signal;

[0073] The adjustment module 230 is used to continue adjusting the traction bed according to the spinal column angle, the measured distance of the skin electrical activity sensor and the preset intervertebral disc data when the traction force on the part to be tractioned does not cause pain.

[0074] As an achievable method, the judgment module 220 is specifically used to: if the peak value of the current waveform of the skin pain signal is greater than the peak value of the waveform generated by the last force application, determine that the traction force currently generated by the traction bed to the traction part causes pain; if the peak value of the current waveform of the skin pain signal is less than or equal to the peak value of the waveform generated by the last force application, determine that the traction force currently generated by the traction bed to the traction part does not cause pain.

[0075] As an achievable method, the adjustment module 230 is specifically used to: determine whether to adjust the traction bed to apply traction force to the traction part according to the spinal angle; when it is determined that the traction bed needs to be adjusted to apply traction force to the traction part, calculate the ideal traction force to be applied to the traction part according to the measured distance of the skin electrode activity sensor and the preset intervertebral disc data; and continue to adjust the traction bed based on the ideal traction force.

[0076] As an achievable method, the adjustment module 230 is specifically used to: if the change value of the spinal angle is greater than or equal to a preset spinal angle change threshold, determine to pause the adjustment of the traction bed to apply traction to the traction part; if the change value of the spinal angle is less than the preset spinal angle change threshold, determine to adjust the traction bed to apply traction to the traction part.

[0077] As a feasible method, the preset intervertebral disc data includes a preset intervertebral disc ratio value and a preset intervertebral disc compression range; the adjustment module 230 is specifically used to: determine the intervertebral disc length of the part to be traction according to the measurement distance of the skin electrical activity sensor and the preset intervertebral disc ratio value; calculate the ideal traction force to be applied to the part to be traction according to the intervertebral disc length of the part to be traction and the preset intervertebral disc compression range.

[0078] As an achievable approach, the intervertebral disc ratio is preset to 20%.

[0079] As an achievable approach, the preset intervertebral disc compression range is 20%-90%.

[0080] The same or similar parts between the above embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0081] According to an embodiment of the present application, the present application also provides a computer device and a computer-readable storage medium.

[0082] like Figure 3 , is a block diagram of a computer device according to an embodiment of the present application. The computer device is intended to represent various forms of digital computers or mobile devices. The digital computer may include a desktop computer, a portable computer, a workbench, a personal digital assistant, a server, a mainframe computer, and other suitable computers. The mobile device may include a tablet computer, a smart phone, a wearable device, etc.

[0083] like Figure 3 As shown, the computer device 300 includes a computing unit 301, a ROM 302, a RAM 303, a bus 304, and an input / output (I / O) interface 305. The computing unit 301, the ROM 302, and the RAM 303 are connected to each other via the bus 304. The input / output (I / O) interface 305 is also connected to the bus 304.

[0084] The computing unit 301 can perform various processes in the method embodiment of the present application according to the computer instructions stored in the read-only memory (ROM) 302 or the computer instructions loaded from the storage unit 308 to the random access memory (RAM) 303. The computing unit 301 can be various general and / or special processing components with processing and computing capabilities. The computing unit 301 may include, but is not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. In some embodiments, the method provided in the embodiment of the present application can be implemented as a computer software program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 308.

[0085] RAM 303 may also store various programs and data required for the operation of computer device 300. Part or all of a computer program may be loaded and / or installed on computer device 300 via ROM 302 and / or communication unit 309.

[0086] The input unit 306, output unit 307, storage unit 308 and communication unit 309 in the computer device 300 can be connected to the I / O interface 305. The input unit 306 can be, for example, a keyboard, a mouse, a touch screen, a microphone, etc. The output unit 307 can be, for example, a display, a speaker, an indicator light, etc. The computer device 300 can exchange information, data, etc. with other devices through the communication unit 309.

[0087] It should be noted that the device may also include other components necessary for normal operation, or may only include components necessary for implementing the solution of the present application, rather than all the components shown in the figure.

[0088] Various implementations of the systems and techniques described herein can be realized in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof.

[0089] The computer instructions for implementing the method of the present application can be written in any combination of one or more programming languages. These computer instructions can be provided to the computing unit 301, so that when the computer instructions are executed by the computing unit 301 such as a processor, the steps involved in the method embodiment of the present application are executed.

[0090] The computer-readable storage medium provided in the present application may be a tangible medium that may contain or store computer instructions for executing the steps involved in the method embodiments of the present application. The computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, and other forms of storage media.

[0091] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A traction bed adjustment method, characterized in that: The method is applied to a traction bed adjustment system, the traction bed adjustment system comprises a skin electrical activity sensor and a skin electrical signal artificial intelligence processor, the skin electrical activity sensor is connected to the skin electrical signal artificial intelligence processor, and the skin electrical activity sensor is placed at the uppermost spine and the lowermost spine of the part to be tractioned; the method comprises: Acquiring a skin pain signal of the part to be pulled, a spinal column angle, and a measurement distance of the skin electrical activity sensor; According to the skin pain signal, determining whether the traction force currently generated by adjusting the traction bed on the part to be traction causes pain; When the traction force of the part to be pulled does not cause pain, the traction bed continues to be adjusted according to the spinal column angle, the measured distance of the skin electrical activity sensor and the preset intervertebral disc data.

2. The method according to claim 1, characterized in that The step of determining whether adjusting the traction force currently generated by the traction bed on the part to be traction causes pain according to the skin pain signal comprises: If the peak value of the current waveform of the skin pain signal is greater than the peak value of the waveform generated by the last force application, it is determined that the traction force currently generated by adjusting the traction bed on the part to be traction causes pain; If the peak value of the current waveform of the skin pain signal is less than or equal to the peak value of the waveform generated by the last force application, it is determined that the traction force currently generated by adjusting the traction bed to the part to be traction does not cause pain.

3. The method according to claim 1, characterized in that When the traction force of the part to be tractioned does not cause pain, the traction bed is continuously adjusted according to the spinal column angle, the measured distance of the skin electrical activity sensor and the preset intervertebral disc data, including: Determining whether to adjust the traction bed to apply traction to the part to be tractioned according to the spinal angle; When it is determined that the traction bed needs to be adjusted to apply traction to the part to be tractioned, the ideal traction force applied to the part to be tractioned is calculated according to the measured distance of the skin electrical activity sensor and the preset intervertebral disc data; Based on the ideal traction force, the traction bed continues to be adjusted.

4. The method according to claim 3, characterized in that The step of determining whether to adjust the traction bed to apply traction to the part to be tractioned according to the spinal angle includes: If the change value of the spinal angle is greater than or equal to a preset spinal angle change threshold, determining to suspend adjusting the traction bed to apply traction force to the part to be tractioned; If the change value of the spinal angle is less than a preset spinal angle change threshold, it is determined to adjust the traction bed to apply traction to the part to be tractioned.

5. The method according to claim 3, characterized in that: The preset intervertebral disc data includes a preset intervertebral disc ratio value and a preset intervertebral disc compression interval; The step of calculating the ideal traction force applied to the part to be tractioned according to the measured distance of the skin electrical activity sensor and the preset intervertebral disc data comprises: Determining the intervertebral disc length of the part to be pulled according to the measurement distance of the skin electrical activity sensor and the preset intervertebral disc ratio value; According to the intervertebral disc length of the part to be pulled and the preset intervertebral disc compression interval, the ideal pulling force applied to the part to be pulled is calculated.

6. The method according to claim 5, characterized in that The preset intervertebral disc ratio is 20%.

7. The method according to claim 5, characterized in that The preset intervertebral disc compression range is 20%-90%.

8. A traction bed adjustment device, characterized in that: The device is arranged in a traction bed adjustment system, the traction bed adjustment system comprises a skin electrical activity sensor and a skin electrical signal artificial intelligence processor, the skin electrical activity sensor is connected to the skin electrical signal artificial intelligence processor, and the skin electrical activity sensor is placed at the uppermost spine and the lowermost spine of the part to be tractioned; the device comprises: An acquisition module, used for acquiring the skin pain signal of the part to be pulled, the spinal column angle and the measurement distance of the skin electrical activity sensor; A judgment module, used for judging whether the traction force currently generated by adjusting the traction bed on the part to be traction causes pain according to the skin pain signal; The adjustment module is used to continue adjusting the traction bed according to the spinal column angle, the measured distance of the skin electrical activity sensor and the preset intervertebral disc data when the traction force of the part to be traction does not cause pain.

9. A computer device comprising: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores computer instructions that can be executed by the at least one processor, and the computer instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having computer instructions stored thereon, characterized in that: The computer instructions are used to cause a computer to execute the method according to any one of claims 1 to 7.

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