A wearable multimodal physical stimulation control method and device for chronic pain management

Abstract

This invention discloses a wearable multimodal physical stimulation control method and device for chronic pain management, belonging to the field of wearable stimulation device technology. It includes setting intensity levels for different stimulation modes; collecting feedback data and establishing an optimal stimulation mode through a mode determination method; prioritizing stimulation modes other than the dominant stimulation mode under the optimal stimulation mode and determining stimulation parameters; during stimulation, adjusting different stimulation modes based on feedback data and priority ranking, and updating stimulation parameters; when the user adjusts the intensity level of the dominant stimulation mode, first determining temporary stimulation parameters, using these temporary parameters for stimulation while updating the stimulation parameters through feedback adjustment. This invention produces the most direct pain management effect on different causes of pain through different dominant stimulation modes, and achieves multimodal fusion stimulation by employing multiple different auxiliary stimulation modes, improving analgesic effects and relieving discomfort symptoms.

Description

Technical Field

[0001] This invention relates to the field of wearable stimulation device technology, specifically to a wearable multimodal physical stimulation control method and device for chronic pain management. Background Technology

[0002] Wearable stimulation devices combine modern technology with traditional stimulation concepts, using motors, air pumps, and other devices to perform stimulating actions such as kneading, massaging, and tapping. Some also incorporate functions such as pulse therapy, heat therapy, and red light irradiation. They are lightweight and can be fitted to various parts of the body, such as the neck, waist, and eyes, supporting use in multiple scenarios. Smart models can also adjust modes and intensity via an app, providing a personalized stimulation experience, effectively relieving muscle fatigue and promoting blood circulation, making them an ideal choice for daily relaxation and health maintenance.

[0003] Different wearable stimulation devices have different stimulation effects. For example, the flexible electrical stimulation pain management device with patent publication number CN215025262U includes an electronic skin made of conductive composite material. The surface of the electronic skin includes a connecting part and a stretching part. The connecting part is circular and located on the surface of the butterfly-shaped stretching part. It also includes a power supply, a voltage regulator module, a controller, a Bluetooth module, a boost module, and a PWM pulse generation circuit. The power supply is electrically connected to the voltage regulator module and the boost module. The controller is electrically connected to the voltage regulator module, the PWM pulse generation circuit, and the Bluetooth module. The boost module is electrically connected to the PWM pulse generation circuit. Based on the TENS principle, neck pain is treated by generating pulse waves of different frequencies in conjunction with the electronic skin made of conductive composite material. It features high comfort, easy cleaning, and high safety.

[0004] Wearable stimulation devices can provide users with long-term pain therapy in various scenarios and have multiple stimulation modes. The stimulation devices mentioned above and existing wearable stimulation devices all use a single stimulation mode. Even if they have multiple stimulation modes, they are used in combination. The linkage between different stimulation modes is poor and they may even interfere with each other, making it difficult to achieve the ideal pain therapy effect. Summary of the Invention

[0005] The purpose of this invention is to provide a wearable multimodal physical stimulation control method and device for chronic pain management, so as to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a wearable multimodal physical stimulation control method and device for chronic pain management, comprising:

[0007] Intensity levels of different stimulation modalities are set in the multimodal stimulation unit;

[0008] Each stimulus mode was applied individually in sequence, and feedback data was collected through the signal acquisition module. The mode was determined by the stimulus dose constraint and allocation method, and the optimal stimulus mode was established.

[0009] Under the optimal stimulation mode, stimulation methods other than the dominant stimulation method are prioritized according to the stimulation method ranking method, and stimulation parameters are determined by stimulation parameter calculation method based on the priority ranking and feedback data.

[0010] Stimulation is performed using defined stimulation parameters, and the stimulation parameters are updated by adjusting the stimulation parameters based on feedback data and priority ranking during the stimulation process using feedback adjustment methods.

[0011] When the user adjusts the intensity level of the dominant stimulus mode, the temporary stimulus parameters are first determined through the level change method. The temporary stimulus parameters are used for stimulation, and the stimulus parameters are updated by feedback adjustment.

[0012] Preferably, the stimulation dose constraint and distribution method includes:

[0013] After wearing the device, feedback data without stimulation is first collected, including electromyographic signals and temperature signals. Then, the user is stimulated in turn by single stimulation methods of different intensities, and feedback data is recorded at the same time. The stimulation methods include electrical stimulation, ultrasound stimulation, magnetic stimulation and temperature stimulation.

[0014] The fit of different stimulus patterns is calculated using the following formula:

[0015] ;

[0016] in Indicates compatibility. This represents the weight of the electromyographic signal. Indicating temperature signal weights in electrical stimulation mode =0.8, in magnetic stimulation mode =0.6, ultrasound stimulation mode =0.5, in temperature stimulation mode =0.9, This indicates the actual measured electromyography (EMG) value. This represents the baseline electromyography (EMG) value, i.e., the EMG value measured without stimulation. This indicates the maximum effective electromyographic value, set by technicians. This indicates the actual measured temperature value. This indicates the maximum permissible temperature, which is set by technicians.

[0017] Select the stimulation mode with the highest compatibility and determine the dominant stimulation method and intensity level;

[0018] Set time intervals between different stimulation methods and continuously collect feedback data during the time intervals until the feedback data is within 5% of the feedback data without stimulation before the next stimulation is performed.

[0019] Preferably, the stimulation pattern ranking method includes:

[0020] Collect the fit of each stimulus modality at each intensity level for individual stimulation, and remove stimulus modalities that are in the same direction as the dominant stimulus.

[0021] In the retained data, the average fit of different intensity levels for the same stimulus is calculated, and then the stimulus methods are sorted according to the magnitude of the average value.

[0022] Preferably, the method for calculating the stimulation parameters includes:

[0023] According to the order of stimulation methods, the parameters of each auxiliary stimulation method are adjusted sequentially, specifically as follows:

[0024] The fit of the established dominant stimulus mode and intensity level is used as the prior fit, and 1 is the total fit.

[0025] Calculate the difference between the total fit and the previous fit as a reference difference. Select the fit that is closest to and lower than the reference difference from the top-ranked stimulus and adjust the parameters of this stimulus to the intensity level of the corresponding fit. Calculate the secondary difference between the reference difference and the selected fit and update the value of the reference difference to the value of the secondary difference. Then remove the top-ranked stimulus and continue to calculate the level of the next stimulus until all stimulus methods have been calculated.

[0026] Record the dominant stimulus mode and intensity level, as well as multiple auxiliary stimulus modes and their corresponding intensity levels, as stimulus parameters.

[0027] Preferably, the feedback adjustment method includes:

[0028] After the device is started, the average value of the actual electromyography (EMG) measured from 30 to 45 seconds is collected as the EMG baseline, and the average value of the actual temperature measured from 30 to 45 seconds is collected as the temperature.

[0029] Feedback adjustments are performed at set time intervals, with the intensity level of the dominant stimulus remaining unchanged; the secondary stimulus is adjusted according to the order of the stimulus methods, specifically as follows:

[0030] ;

[0031] in For the updated strength rating, The strength level before the update. This indicates the actual measured electromyography (EMG) value. Indicates the electromyographic baseline. This indicates the actual measured temperature value. Indicates the temperature reference. This represents the limiting function.

[0032] Preferably, the method for changing the grade includes:

[0033] If the user increases the intensity level of the dominant stimulus mode, the intensity level of the auxiliary stimulus mode will be reduced by one level as a temporary stimulus parameter. If the user continues to increase the intensity level of the dominant stimulus mode within 10 seconds, the intensity level of the auxiliary stimulus mode will not be reduced when adjusted again.

[0034] If several users lower the intensity level of the dominant stimulus mode, the intensity level of the auxiliary stimulus mode will be increased by one level as a temporary stimulus parameter. If users continue to lower the intensity level of the dominant stimulus mode within a 10-second interval, the intensity level of the auxiliary stimulus mode will not be lowered when the adjustment is repeated.

[0035] Preferably, the user data record set allows users to manually select and save existing stimulation parameters to the user data record set when using the stimulation device, and to select previously saved stimulation data from the user data record set for stimulation during use.

[0036] Compared with the prior art, the beneficial effects of the present invention are:

[0037] By using the dominant stimulation method to produce the most direct pain management effect on different causes of pain, and then using a variety of different auxiliary stimulation methods to achieve multimodal fusion stimulation, the analgesic effect is enhanced and discomfort symptoms are relieved while stabilizing the stimulation intensity.

[0038] Meanwhile, by ranking the stimulation methods, the importance of auxiliary stimulation methods can be determined, which can provide a basis for calculating the intensity of each stimulation method in the future. Under the premise of ensuring reasonable stimulation intensity, various stimulation methods can be reasonably allocated to achieve the interaction of stimulation methods without mutual interference, thereby improving the stimulation effect.

[0039] Moreover, by using a feedback adjustment method, feedback adjustments are made at regular intervals, which can make timely adaptive changes when the user's physical state changes, ensuring the best stimulation effect. In addition, the adjustment process is smooth, reducing the user's perception of changes in stimulation methods and improving the user experience.

[0040] In addition, when a user adjusts the dominant stimulation mode once, the auxiliary stimulation mode is adjusted in the opposite direction, making the change in stimulation intensity smoother and improving the user's adaptation. When the user continuously adjusts the intensity level of the dominant stimulation mode, if the user is not satisfied with the stimulation level and the difference is large, the auxiliary stimulation mode will not be adjusted. This allows the customer to quickly select a suitable stimulation intensity. Moreover, while using temporary stimulation parameters, the stimulation parameters can be continuously updated in conjunction with feedback adjustment methods. Furthermore, feedback adjustment can be performed directly after adjustment without waiting for the set time. After changing the intensity level of the dominant stimulation mode, it can quickly adapt to the user's physical condition, improving the user experience.

[0041] Finally, it can save different stimulation parameters, allowing a single person to select different stimulation parameters for various usage environments under different conditions, making it more convenient to use. It can also be used by multiple people, who can save the stimulation parameters that suit them best and recall them in time for the next stimulation, thus improving its practical value. Attached Figure Description

[0042] Figure 1 This is a flowchart illustrating the multimodal physical stimulation control method of the present invention;

[0043] Figure 2 This is a flowchart illustrating the grade change method in this invention;

[0044] Figure 3 This is a schematic diagram illustrating how the strength level changes during use in this invention. Detailed Implementation

[0045] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0046] like Figures 1-3 As shown, the present invention provides a technical solution: a wearable multimodal physical stimulation control method for chronic pain management, comprising:

[0047] In a multimodal stimulation unit, different intensity levels of stimulation methods are set. A multimodal stimulation unit refers to a stimulation unit that can perform multiple forms of stimulation.

[0048] Each stimulation method is applied individually in sequence, and feedback data is collected through the signal acquisition module. The signal acquisition module can collect physiological and non-physiological data with the help of sensors. The stimulation dose constraint and distribution method are used to determine the pattern and establish the optimal stimulation pattern.

[0049] Under the optimal stimulation mode, stimulation methods other than the dominant stimulation method are prioritized according to the stimulation method ranking method, and stimulation parameters are determined by stimulation parameter calculation method based on the priority ranking and feedback data.

[0050] Stimulation is performed using defined stimulation parameters, and the stimulation parameters are updated by adjusting the stimulation parameters based on feedback data and priority ranking during the stimulation process using feedback adjustment methods.

[0051] When the user adjusts the intensity level of the dominant stimulus mode, the temporary stimulus parameters are first determined through the level change method. The temporary stimulus parameters are used for stimulation, and the stimulus parameters are updated by feedback adjustment.

[0052] It is important to note that the setting of different intensity levels for different stimulation methods is existing technology. For example, in electrical stimulation, the stimulation intensity is set to five levels: 1-10mA, 11-20mA, 21-30mA, 31-40mA, and 41-50mA. The specific intensity ranges and the number of ranges are determined by technicians through experiments or experience. Specifically, the total current range is 0-60mA, the total magnetic field strength range is 0-2mT, the total ultrasound intensity range is 0.1–3 W / cm², and the total temperature range is 35–45℃. A higher number of intensity levels allows for greater precision in stimulation adjustment, but also increases equipment cost. The specific level can be determined based on actual needs. Furthermore, the feedback data mentioned above can be acquired through sensors installed on wearable devices, including temperature sensors and electromyography (EMG) sensors. The EMG sensor detects the electrical activity of muscles (EMG signals), reflecting muscle tension and fatigue levels, while the temperature sensor detects the temperature of the stimulation site, indicating whether the stimulation intensity is appropriate.

[0053] The stimulation dose constraint and allocation method includes:

[0054] After wearing the device, feedback data without stimulation is first collected, including electromyographic signals and temperature signals. Then, the user is stimulated in turn by single stimulation methods of different intensities, and feedback data is recorded at the same time. The stimulation methods include electrical stimulation, ultrasound stimulation, magnetic stimulation and temperature stimulation.

[0055] The fit of different stimulus patterns is calculated using the following formula:

[0056] ;

[0057] in Indicates compatibility. This represents the weight of the electromyographic signal. Indicating temperature signal weights in electrical stimulation mode =0.8, in magnetic stimulation mode =0.6, ultrasound stimulation mode =0.5, in temperature stimulation mode =0.9, This indicates the actual measured electromyography (EMG) value. This represents the baseline electromyography (EMG) value, i.e., the EMG value measured without stimulation. This indicates the maximum effective electromyographic value, set by technicians. This indicates the actual measured temperature value. This indicates the maximum permissible temperature, which is set by technicians.

[0058] Select the stimulation mode with the highest compatibility and determine the dominant stimulation method and intensity level;

[0059] Set time intervals between different stimulation methods and continuously collect feedback data during the time intervals until the feedback data is within 5% of the feedback data without stimulation before the next stimulation is performed.

[0060] It should be noted that, for ease of understanding, the following simulated data is used:

[0061] Assuming a baseline electromyography (EMG) value of 30 μV, a maximum effective stimulation EMG value of 300 μV, and a maximum permissible temperature of 40 °C.

[0062] Taking electrical stimulation as an example, the stimulation level is five (41-50mA):

[0063] At this point, the weight of the electromyographic signal is 0.8. Assuming the actual detected electromyographic value is 294.2 μV (which can be represented by the average or mode of multiple measurements, but here we choose the average of multiple measurements after removing the maximum and minimum values), and the actual detected temperature is 38.0℃ (determined by the same method as above), the fit of electrical stimulation level 5 can be calculated using the formula as (294.2-30) / (300-30)+(1-|38.0-40| / 40)=0.966.

[0064] Then, ultrasound stimulation was used, with a stimulation level of five (2.0 W / cm²):

[0065] At this time, the weight of the electromyography signal is 0.8. Assuming that the actual electromyography value is 150μV and the actual detection temperature is 38.5℃, the fit of ultrasound stimulation level 5 can be calculated according to the formula as (150-30) / (300-30)+(1-|38.5-40| / 40)=0.701.

[0066] The comparison showed that electrical stimulation 9 (level 5) was a better fit than ultrasound stimulation 9 (level 5) among single stimulation methods. Using the same method, the intensity of each stimulation method was calculated, and then the mode with the highest fit was selected to determine the dominant stimulation method and intensity level.

[0067] In addition, a certain interval is required when switching intensity levels and stimulation methods to ensure that the actual detected temperature value returns to the value before stimulation.

[0068] Stimulus pattern ranking methods include:

[0069] Collect the fit of each stimulus modality at each intensity level for individual stimulation, and remove stimulus modalities that are in the same direction as the dominant stimulus.

[0070] In the retained data, the average fit of different intensity levels for the same stimulus is calculated, and then the stimulus methods are sorted according to the magnitude of the average value.

[0071] It should be noted that, for ease of understanding, the following simulated data is used:

[0072] Assuming electrical stimulation is the dominant stimulation modality, the other stimulation modalities and their suitability are as follows:

[0073] Magnetic stimulation: Level 1 0.36, Level 2 0.38, Level 3 0.46, Level 4 0.21, Level 5 0.11, with an average of 0.304.

[0074] Ultrasound stimulation: Grade I 0.72, Grade II 0.78, Grade III 0.65, Grade IV 0.48, with an average value of 0.6575;

[0075] Temperature stimulation: Level 1 0.21, Level 2 0.28, Level 3 0.22, with an average value of 0.237.

[0076] In comparison, the stimulation methods can be determined, with electrical stimulation as the primary method and auxiliary stimulation methods in the following order: ultrasound stimulation, magnetic stimulation, and temperature stimulation.

[0077] Determining the importance of auxiliary stimulation methods can provide a basis for subsequent calculation of the intensity of each stimulation method. While ensuring that the stimulation intensity is reasonable, it is possible to allocate various stimulation methods reasonably, so as to achieve the interaction of stimulation methods without mutual interference, thereby improving the stimulation effect.

[0078] Methods for calculating stimulus parameters include:

[0079] According to the order of stimulation methods, the parameters of each auxiliary stimulation method are adjusted sequentially, specifically as follows:

[0080] The fit of the established dominant stimulus mode and intensity level is used as the prior fit, and 1 is the total fit.

[0081] Calculate the difference between the total fit and the previous fit as a reference difference. Select the fit that is closest to and lower than the reference difference from the top-ranked stimulus and adjust the parameters of this stimulus to the intensity level of the corresponding fit. Calculate the secondary difference between the reference difference and the selected fit and update the value of the reference difference to the value of the secondary difference. Then remove the top-ranked stimulus and continue to calculate the level of the next stimulus until all stimulus methods have been calculated.

[0082] Record the dominant stimulus mode and intensity level, as well as multiple auxiliary stimulus modes and their corresponding intensity levels, as stimulus parameters.

[0083] It should be noted that, for ease of understanding, the following simulated data is used:

[0084] Assuming the dominant stimulation modality and intensity level are electrical stimulation and intensity level 5, respectively, and the corresponding fit is 0.785, the other stimulation modalities and fits follow the same data, as follows:

[0085] Magnetic stimulation: Level 1 0.11, Level 2 0.38, Level 3 0.46, Level 4 0.21, Level 5 0.36, with an average of 0.304.

[0086] Ultrasound stimulation: Grade I 0.72, Grade II 0.78, Grade III 0.65, Grade IV 0.48, with an average value of 0.6575;

[0087] Temperature stimulation: Level 1 0.21, Level 2 0.28, Level 3 0.22, with an average value of 0.237.

[0088] The auxiliary stimulation methods, in order, are: ultrasound stimulation, magnetic stimulation, and temperature stimulation.

[0089] First, calculate the intensity level of the ultrasound stimulation:

[0090] The prefit was 0.785, the reference difference was 0.215, and there was no fit below 0.215 in ultrasound stimulation, so the next stimulation method was calculated directly.

[0091] Calculate the intensity level of magnetic stimulation:

[0092] The reference difference is 0.215. The fit of the magnetic stimulation intensity level 1 is 0.11, which is the closest fit and less than the reference difference. Therefore, the intensity level of the magnetic stimulation is level 1, and the reference difference is updated to 0.215-0.11=0.105.

[0093] Calculate the intensity level of temperature stimulus:

[0094] The reference difference is 0.105. There is no fit below 0.105 for temperature stimulation, and there are no other stimulation methods. Therefore, the calculation ends.

[0095] The final stimulation parameters were: electrical stimulation level 5, magnetic stimulation level 1, and all other stimulation methods were turned off. By combining multiple stimulation methods without exceeding the total stimulation intensity limit, the optimal stimulation effect was achieved. Furthermore, the primary and secondary stimulation methods were clearly distinguished to minimize mutual interference.

[0096] Feedback adjustment methods include:

[0097] After the device is started, the average value of the actual electromyography (EMG) measured from 30 to 45 seconds is collected as the EMG baseline, and the average value of the actual temperature measured from 30 to 45 seconds is collected as the temperature.

[0098] Feedback adjustments are performed at set time intervals, with the intensity level of the dominant stimulus remaining unchanged; the secondary stimulus is adjusted according to the order of the stimulus methods, specifically as follows:

[0099] ;

[0100] in For the updated strength rating, The strength level before the update. This indicates the actual measured electromyography (EMG) value. Indicates the electromyographic baseline. This indicates the actual measured temperature value. Indicates the temperature reference. This represents the limiting function.

[0101] It should be noted that, for ease of understanding, the following simulated data is used:

[0102] When performing a feedback adjustment, it is necessary to calculate for each stimulus according to the order of the stimulus methods.

[0103] Assuming the electromyography (EMG) baseline is 400 μV and the temperature baseline is 36 °C, and the actual measured EMG value in the real-time monitoring data is 550 μV and the actual measured temperature value is 37.5 °C.

[0104] The primary stimulation method is electrical stimulation, with auxiliary stimulation methods in the following order: ultrasound stimulation, magnetic stimulation, and temperature stimulation.

[0105] Taking ultrasound stimulation as an example, assuming the intensity level before the update was level two, calculate the new intensity level:

[0106] =clamp(2-2×(0.3×(550−400)÷400+0.2×(37.5−36)÷36),1,3)=clamp(2-2×0.1208,1,3)≈clamp(1.76,1,3)→2.

[0107] Therefore, the level of ultrasound stimulation remains unchanged.

[0108] By adjusting the magnetic stimulation and temperature stimulation sequentially using the same method, feedback adjustment can be achieved. Furthermore, during feedback adjustment, the intensity level is adjusted by only one level at a time, making the adjustment process smoother and more seamless. Figure 3 As shown, the stimulation parameters are gradually adjusted from continuous to optimal as the usage time increases.

[0109] like Figure 2 As shown, the methods for changing the level include:

[0110] If the user increases the intensity level of the dominant stimulus mode, the intensity level of the auxiliary stimulus mode will be reduced by one level as a temporary stimulus parameter. If the user continues to increase the intensity level of the dominant stimulus mode within 10 seconds, the intensity level of the auxiliary stimulus mode will not be reduced when adjusted again.

[0111] If several users lower the intensity level of the dominant stimulus mode, the intensity level of the auxiliary stimulus mode will be increased by one level as a temporary stimulus parameter. If users continue to lower the intensity level of the dominant stimulus mode within a 10-second interval, the intensity level of the auxiliary stimulus mode will not be lowered when the adjustment is repeated.

[0112] It is important to note that when a user adjusts the dominant stimulation mode once, the auxiliary stimulation mode should be adjusted in the opposite direction to make the change in stimulation intensity smoother and improve the user's adaptation. If the user is not satisfied with the stimulation level when continuously adjusting the intensity level of the dominant stimulation mode, and the difference is large, the auxiliary stimulation mode should not be adjusted. This allows the customer to quickly select a stimulation intensity that suits them.

[0113] Furthermore, while using temporary stimulation parameters, it can continuously update the stimulation parameters by combining feedback adjustment methods. Moreover, feedback adjustment can be performed directly after adjustment without waiting for the set time. After changing the intensity level of the dominant stimulation method, it can quickly adapt to the user's physical condition and improve the user experience.

[0114] The user data record set can be set up so that when the user uses the stimulation device, the existing stimulation parameters can be manually saved to the user data record set. When using the device, the user can select the previously saved stimulation data from the user data record set for stimulation.

[0115] It is important to note that it is suitable for creating different stimulation methods. Individuals can choose different stimulation methods in different states, making it more convenient to use. It can also be used by multiple people, who can save the stimulation methods that suit them best and recall them when they need stimulation again.

[0116] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended embodiments and their equivalents.

Claims

1. A wearable multimodal physical stimulation control method for chronic pain management, comprising: Intensity levels of different stimulation modalities are set in the multimodal stimulation unit; Its features are: Each stimulus mode was applied individually in sequence, and feedback data was collected through the signal acquisition module. The mode was determined by the stimulus dose constraint and allocation method, and the optimal stimulus mode was established. Under the optimal stimulation mode, stimulation methods other than the dominant stimulation method are prioritized according to the stimulation method ranking method, and stimulation parameters are determined by stimulation parameter calculation method based on the priority ranking and feedback data. Stimulation is performed using defined stimulation parameters, and the stimulation parameters are updated by adjusting the stimulation parameters based on feedback data and priority ranking during the stimulation process using feedback adjustment methods. When the user adjusts the intensity level of the dominant stimulus mode, the temporary stimulus parameters are first determined through the level change method. The temporary stimulus parameters are used for stimulation, and the stimulus parameters are updated by feedback adjustment.

2. A wearable multi-modal physical stimulation control method for chronic pain management as claimed in claim 1, wherein: The stimulation dose constraint and allocation method includes: After wearing the device, feedback data without stimulation is first collected, including electromyographic signals and temperature signals. Then, the user is stimulated in turn by single stimulation methods of different intensities, and feedback data is recorded at the same time. The stimulation methods include electrical stimulation, ultrasound stimulation, magnetic stimulation and temperature stimulation. The fit of different stimulus patterns is calculated using the following formula: ； in Indicates compatibility. This represents the weight of the electromyographic signal. Indicating temperature signal weights in electrical stimulation mode =0.8, in magnetic stimulation mode =0.6, ultrasound stimulation mode =0.5, in temperature stimulation mode =0.9, This indicates the actual measured electromyography (EMG) value. This represents the baseline electromyography (EMG) value, i.e., the EMG value measured without stimulation. This indicates the maximum effective electromyographic value, set by technicians. This indicates the actual measured temperature value. This indicates the maximum permissible temperature, which is set by technicians. Select the stimulation mode with the highest compatibility and determine the dominant stimulation method and intensity level; Set time intervals between different stimulation methods and continuously collect feedback data during the time intervals until the feedback data is within 5% of the feedback data without stimulation before the next stimulation is performed.

3. The wearable multimodal physical stimulation control method for chronic pain management according to claim 2, characterized in that: The stimulation mode ranking method includes: Collect the fit of each stimulus modality at each intensity level for individual stimulation, and remove stimulus modalities that are in the same direction as the dominant stimulus. In the retained data, the average fit of different intensity levels for the same stimulus is calculated, and then the stimulus methods are sorted according to the magnitude of the average value.

4. The wearable multimodal physical stimulation control method for chronic pain management according to claim 3, characterized in that: The method for calculating the stimulation parameters includes: According to the order of stimulation methods, the parameters of each auxiliary stimulation method are adjusted sequentially, specifically as follows: The fit of the established dominant stimulus mode and intensity level is used as the prior fit, and 1 is the total fit. Calculate the difference between the total fit and the previous fit as a reference difference. Select the fit that is closest to and lower than the reference difference from the top-ranked stimulus and adjust the parameters of this stimulus to the intensity level of the corresponding fit. Calculate the secondary difference between the reference difference and the selected fit and update the value of the reference difference to the value of the secondary difference. Then remove the top-ranked stimulus and continue to calculate the level of the next stimulus until all stimulus methods have been calculated. Record the dominant stimulus mode and intensity level, as well as multiple auxiliary stimulus modes and their corresponding intensity levels, as stimulus parameters.

5. A wearable multimodal physical stimulation control method for chronic pain management according to claim 1, characterized in that: The feedback adjustment method includes: After the device is started, the average value of the actual electromyography (EMG) measured from 30 to 45 seconds is collected as the EMG baseline, and the average value of the actual temperature measured from 30 to 45 seconds is collected as the temperature. Feedback adjustments are performed at set time intervals, with the intensity level of the dominant stimulus remaining unchanged; the secondary stimulus is adjusted according to the order of the stimulus methods, specifically as follows: ； in For the updated strength rating, The strength level before the update. This indicates the actual measured electromyography (EMG) value. Indicates the electromyographic baseline. This indicates the actual measured temperature value. Indicates the temperature reference. This represents the limiting function.

6. The wearable multimodal physical stimulation control method for chronic pain management according to claim 1, characterized in that: Methods for changing the level include: If the user increases the intensity level of the dominant stimulus mode, the intensity level of the auxiliary stimulus mode will be reduced by one level as a temporary stimulus parameter. If the user continues to increase the intensity level of the dominant stimulus mode within 10 seconds, the intensity level of the auxiliary stimulus mode will not be reduced when adjusted again. If several users lower the intensity level of the dominant stimulus mode, the intensity level of the auxiliary stimulus mode will be increased by one level as a temporary stimulus parameter. If users continue to lower the intensity level of the dominant stimulus mode within a 10-second interval, the intensity level of the auxiliary stimulus mode will not be lowered when the adjustment is repeated.

7. A wearable multimodal physical stimulation control method for chronic pain management according to claim 1, characterized in that: The user data record set allows users to manually save existing stimulation parameters to the user data record set when using the stimulation device, and to select previously saved stimulation data from the user data record set for stimulation during use.

8. A wearable multimodal physical stimulation device for chronic pain management, characterized in that: The wearable multimodal physical stimulation control method for chronic pain management as described in any one of claims 1-7 was used.

Images