Physical Stimulation-Driven Lymphatic Circulation and Cognitive Enhancement Methods and Systems

Abstract

This invention relates to the field of cognitive data processing technology, and more particularly to a method and system for physical stimulation-driven lymphatic circulation and cognitive enhancement. The system includes a physical stimulation frequency impact assessment module, a stimulation mechanical vibration analysis module, a lymphatic circulation vibration calibration module, and a stimulation frequency drive adjustment module. It utilizes pressure and temperature sensors to monitor the corresponding physical stimulation pressure and the surface temperature of the stimulated skin in real time, performing stimulation frequency impact assessment and stimulation mechanical vibration analysis to generate a physical stimulation mechanical vibration effect. It also acquires lymphatic fluid flow velocity and EEG neural activity signals, performing neurocognitive level analysis and vibration response calibration. Simultaneously, it performs lymphatic circulation cognitive regression analysis and stimulation frequency drive adjustment to generate a physical stimulation frequency drive adjustment scheme corresponding to lymphatic circulation cognitive enhancement. This invention can accurately analyze the correlation between physical stimulation and lymphatic circulation and cognitive enhancement.

Description

Technical Field

[0001] This invention relates to the field of cognitive data processing technology, and in particular to a method and system for physical stimulation-driven lymphatic circulation and cognitive enhancement. Background Technology

[0002] The lymphatic system plays a vital role in maintaining homeostasis and regulating the immune system. A growing body of research indicates that lymphatic circulation is closely related to brain health and cognitive function. Good lymphatic circulation helps remove metabolic waste and toxins from the brain, providing a better microenvironment for neurons, thus positively impacting cognitive abilities.

[0003] Traditional methods for promoting lymphatic circulation mainly include physical stimulation techniques such as massage and exercise. However, these methods lack precision and scientific rigor, making it difficult to accurately assess the specific impact of factors such as the intensity and frequency of physical stimulation on lymphatic circulation and cognitive enhancement. For example, the strength and technique of massage vary from person to person, and the intensity and duration of exercise are also difficult to control precisely, resulting in inconsistent effects on lymphatic circulation and cognitive enhancement. Summary of the Invention

[0004] Therefore, the present invention needs to provide a method and system for lymphatic circulation and cognitive enhancement driven by physical stimulation to solve at least one of the above-mentioned technical problems.

[0005] To achieve the above objectives, a physically stimulated lymphatic circulation and cognitive enhancement system includes the following modules:

[0006] The physical stimulation frequency impact assessment module is used to monitor the physical stimulation pressure and skin surface temperature corresponding to the physical stimulation driven by the low-frequency pulse electromagnetic device in real time using pressure and temperature sensors. Based on the physical stimulation pressure and skin surface temperature, the module assesses the impact of the physical stimulation ultrasound corresponding to the low-frequency pulse electromagnetic device on the stimulation frequency to obtain the pressure impact factor and temperature impact factor corresponding to the ultrasound stimulation frequency.

[0007] The stimulation mechanical vibration analysis module is used to perform stimulation mechanical vibration analysis on the physical stimulation ultrasound corresponding to low-frequency pulse electromagnetic equipment based on the pressure influence factor and temperature influence factor corresponding to the ultrasonic stimulation frequency, so as to generate the physical stimulation mechanical vibration effect.

[0008] The lymphatic flow vibration calibration module is used to acquire lymphatic fluid flow velocity and EEG neural activity signals, and to analyze the EEG neural activity signals to obtain the cognitive level of EEG neural activity; based on the mechanical vibration effect of physical stimulation, the lymphatic fluid flow velocity is calibrated by vibration response to generate the corresponding lymphatic fluid velocity under the mechanical vibration of physical stimulation.

[0009] The stimulation frequency drive adjustment module is used to perform lymphatic circulation cognitive regression analysis based on the lymphatic fluid flow rate corresponding to the mechanical vibration of physical stimulation and combined with the cognitive level of EEG neural activity by multilayer sensor, so as to obtain the correlation mapping relationship between lymphatic fluid flow rate and EEG cognitive level; based on the correlation mapping relationship between lymphatic fluid flow rate and EEG cognitive level, the stimulation frequency drive adjustment is performed on the physical stimulation ultrasound corresponding to the low-frequency pulse electromagnetic device to generate a physical stimulation frequency drive adjustment scheme for improving lymphatic circulation cognition.

[0010] Furthermore, the physical stimulus frequency impact assessment module includes the following functions:

[0011] The stimulation pressure of the physical stimulation driven process generated by the low-frequency pulse electromagnetic device is monitored in real time using a pressure sensor to obtain the magnitude of the physical stimulation pressure.

[0012] A temperature sensor is used to monitor the skin temperature in real time during the physical stimulation process generated by the low-frequency pulsed electromagnetic device, so as to obtain the surface temperature of the stimulated skin.

[0013] The physical stimulation pressure and the stimulation skin surface temperature are cleaned by using a low-pass filter to remove high-frequency noise in the corresponding time series and a median filter algorithm to remove outliers, so as to obtain the pre-processed stimulation pressure and skin surface temperature.

[0014] The pre-processed stimulation pressure magnitude and skin surface temperature were time-synchronized to obtain the stimulation pressure magnitude sequence and skin surface temperature sequence within the same time range.

[0015] The influence of stimulation frequency on the physical stimulation ultrasound corresponding to low-frequency pulsed electromagnetic devices is evaluated based on the stimulation pressure magnitude sequence and skin surface temperature sequence, so as to obtain the pressure influence factor and temperature influence factor corresponding to the ultrasound stimulation frequency.

[0016] Furthermore, the evaluation of the influence of stimulation frequency on the physical stimulation ultrasound corresponding to the low-frequency pulsed electromagnetic device based on the stimulation pressure magnitude sequence and skin surface temperature sequence includes:

[0017] Orthogonal experimental designs for pressure and temperature were performed on the stimulation pressure magnitude sequence and skin surface temperature sequence to generate different combinations of stimulation pressure and skin temperature.

[0018] Based on different combinations of stimulation pressure and skin temperature, the energy attenuation analysis of the physical stimulation ultrasound corresponding to the low-frequency pulsed electromagnetic device was performed to obtain the energy distribution loss of the stimulation ultrasound under the conditions of stimulation pressure and skin temperature.

[0019] The mean value of stimulation pressure, the standard deviation of stimulation pressure, the mean value of skin temperature, and the standard deviation of skin temperature were obtained by using stimulation pressure magnitude sequences and skin surface temperature sequences.

[0020] The stimulation frequency distribution of the physical stimulation ultrasound is obtained by using a low-frequency pulsed electromagnetic device. The pressure influence of the stimulation frequency distribution of the physical stimulation ultrasound is evaluated based on the mean stimulation pressure, the standard deviation of stimulation pressure, and the energy distribution loss of the stimulation ultrasound under the stimulation pressure conditions, so as to obtain the pressure influence factor of the ultrasound stimulation frequency.

[0021] The temperature influence of the stimulation frequency distribution of physical stimulation ultrasound is evaluated based on the mean skin temperature, the standard deviation of skin temperature, and the energy distribution loss of stimulation ultrasound under skin temperature conditions, so as to obtain the temperature influence factor corresponding to the ultrasound stimulation frequency.

[0022] Furthermore, the assessment of the impact of pressure on the stimulation frequency distribution of physical stimulation ultrasound based on the mean stimulation pressure, the standard deviation of stimulation pressure, and the energy distribution loss of stimulation ultrasound under the stimulation pressure conditions includes:

[0023] Based on the mean and standard deviation of stimulus pressure, the skewness and kurtosis of the stimulus pressure magnitude sequence are measured to obtain the skewness and kurtosis of the stimulus pressure distribution.

[0024] Based on the skewness and kurtosis of the stimulation pressure distribution, a statistical analysis of the energy loss of the stimulation ultrasound under different stimulation pressure conditions was performed to obtain the energy loss attenuation rate of the stimulation ultrasound energy under different stimulation pressure distributions.

[0025] The stimulation frequency distribution corresponding to the physical stimulus ultrasound was analyzed to obtain the amplitude and density of the ultrasound stimulation frequency change.

[0026] The pressure influence of the ultrasonic stimulation frequency variation amplitude and frequency variation density is evaluated based on the energy loss attenuation rate corresponding to different stimulation pressure distributions, so as to obtain the pressure influence factor corresponding to the ultrasonic stimulation frequency.

[0027] Furthermore, the stimulus mechanical vibration analysis module includes the following functions:

[0028] Based on the pressure influence factor corresponding to the ultrasonic stimulation frequency, the pressure influence trend field of the physical stimulation ultrasonic waves corresponding to the low-frequency pulse electromagnetic device is analyzed to generate the influence trend field of the pressure influence factor on the ultrasonic stimulation frequency under different stimulation pressure levels.

[0029] Based on the temperature influence factor corresponding to the ultrasonic stimulation frequency, the temperature field of the physical stimulation ultrasonic waves corresponding to the low-frequency pulse electromagnetic device is analyzed to generate the field of the effect of the temperature influence factor on the ultrasonic stimulation frequency in different temperature ranges.

[0030] Frequency domain propagation characteristics of the physical stimulation ultrasound corresponding to low frequency pulsed electromagnetic equipment are analyzed to obtain the propagation characteristics of the physical stimulation ultrasound at different stimulation frequencies, including wavelength and wave speed.

[0031] Based on the influence trend field of pressure influence factor on ultrasonic stimulation frequency under different stimulation pressure levels and the action law field of temperature influence factor on ultrasonic stimulation frequency in different temperature ranges, mechanical vibration coupling analysis is performed on the propagation characteristics of physical stimulation ultrasonic waves at different stimulation frequencies to generate the mechanical vibration effect of physical stimulation.

[0032] Furthermore, the lymphatic flow vibration calibration module includes the following functions:

[0033] Acquire lymphatic fluid flow velocity and brain electrical nerve activity signals;

[0034] Multi-scale frequency band decomposition of brain electrical neural activity signals is performed to decompose brain electrical neural activity signals into sub-signals at different frequency bands using wavelet transform, thereby generating brain electrical activity sub-signals at different scale frequency bands.

[0035] Temporal signal feature analysis was performed on the corresponding EEG activity sub-signals at different scales and frequency bands to obtain the temporal features of the EEG signals at different scales and frequency bands, including mean, variance and peak value.

[0036] Based on the temporal characteristics of EEG signals at different scales and frequency bands, cognitive activity feature correlation analysis is performed on the corresponding EEG activity sub-signals at different scales and frequency bands to obtain the cognitive role mapping relationship between EEG signals at different frequency bands and neurocognitive activities; based on the cognitive role mapping relationship between EEG signals at different frequency bands and neurocognitive activities, neurocognitive level analysis is performed on EEG neural activity signals to obtain the cognitive level of EEG neural activity.

[0037] The vibration response calibration of lymph flow velocity is performed based on the mechanical vibration effect of physical stimulation and combined with nonlinear regression fitting method to generate the lymph flow velocity corresponding to the mechanical vibration of physical stimulation.

[0038] Furthermore, the corresponding EEG activity sub-signals at different scale frequency bands specifically include 0-4Hz. Wave, 4-8Hz Wave, 8-13Hz Wave, 13-30Hz Waves and above 30Hz The brainwave activity signals corresponding to the wave.

[0039] Furthermore, the stimulation frequency drive adjustment module includes the following functions:

[0040] Based on the lymphatic fluid flow rate corresponding to the mechanical vibration of physical stimuli, the brain electrical neural activity cognitive level is analyzed to obtain the characteristic changes of brain electrical cognitive level under different lymphatic fluid flow rates, including frequency distribution and amplitude.

[0041] Based on the characteristic changes in EEG cognitive level under different lymph flow velocities, a linear regression fitting analysis was performed between lymph flow velocity and EEG cognitive level to generate a linear regression fitting mathematical relationship between lymph flow velocity and EEG cognitive level.

[0042] Based on the linear regression fitting mathematical relationship between lymphatic fluid flow velocity and EEG cognitive level, and combined with multilayer perceptron, lymphatic flow cognitive mapping analysis was performed between lymphatic fluid flow velocity and EEG neural activity cognitive level to obtain the correlation mapping relationship between lymphatic fluid flow velocity and EEG cognitive level.

[0043] Based on the correlation between lymphatic fluid flow velocity and EEG cognitive level, the stimulation frequency of the physical stimulation ultrasound corresponding to the low-frequency pulse electromagnetic device is adjusted to generate a physical stimulation frequency adjustment scheme corresponding to the improvement of lymphatic circulation cognition.

[0044] Furthermore, the physical stimulation frequency-driven adjustment scheme corresponding to the lymphatic flow cognitive enhancement is as follows: when the EEG cognitive level improves slowly under the corresponding lymphatic flow rate, the stimulation intensity and duration of a specific stimulation frequency are increased according to the stimulation frequency change pattern corresponding to the physical stimulation ultrasound under the lymphatic flow rate to promote lymphatic flow and thus enhance the EEG cognitive level; when the EEG cognitive level improves too quickly under the corresponding lymphatic flow rate, the stimulation intensity and duration of a specific stimulation frequency are reduced according to the stimulation frequency change pattern corresponding to the physical stimulation ultrasound under the lymphatic flow rate to slow down lymphatic flow and thus lower the EEG cognitive level.

[0045] Furthermore, the present invention also provides a method for physically stimulated lymphatic circulation and cognitive enhancement, the method being implemented based on the aforementioned physically stimulated lymphatic circulation and cognitive enhancement system, the method comprising:

[0046] The physical stimulation pressure and skin surface temperature generated by the low-frequency pulsed electromagnetic device are monitored in real time using pressure and temperature sensors. The stimulation frequency of the ultrasonic stimulation generated by the low-frequency pulsed electromagnetic device is evaluated based on the physical stimulation pressure and skin surface temperature to obtain the pressure and temperature influence factors corresponding to the ultrasonic stimulation frequency.

[0047] Based on the pressure and temperature influence factors corresponding to the ultrasonic stimulation frequency, the physical stimulation ultrasonic waves of low-frequency pulse electromagnetic devices are analyzed to generate the physical stimulation mechanical vibration effect.

[0048] The flow velocity of lymphatic fluid and brain electrical activity signals were acquired, and the neurocognitive level of the brain electrical activity signals was analyzed to obtain the cognitive level of brain electrical activity. The flow velocity of lymphatic fluid was calibrated based on the mechanical vibration effect of physical stimulation to generate the corresponding lymphatic fluid velocity under the mechanical vibration of physical stimulation.

[0049] Based on the lymphatic fluid velocity corresponding to the mechanical vibration of physical stimulation and combined with the cognitive level of EEG neural activity by multilayer sensor, a lymphatic circulation cognitive regression analysis was performed to obtain the correlation mapping relationship between lymphatic fluid velocity and EEG cognitive level. Based on the correlation mapping relationship between lymphatic fluid velocity and EEG cognitive level, the stimulation frequency of the physical stimulation ultrasound corresponding to the low-frequency pulse electromagnetic device was adjusted to generate a physical stimulation frequency adjustment scheme to improve lymphatic circulation cognition.

[0050] The beneficial effects of this invention are:

[0051] The physical stimulation-driven lymphatic circulation and cognitive enhancement system proposed in this invention comprises a physical stimulation frequency impact assessment module, a stimulation mechanical vibration analysis module, a lymphatic circulation vibration calibration module, and a stimulation frequency drive adjustment module. Compared with existing technologies, the advantages of this application lie in the real-time monitoring of the physical stimulation generated by the low-frequency pulsed electromagnetic device using pressure and temperature sensors. These sensors allow for precise measurement of the pressure and skin surface temperature generated during physical stimulation, both of which are crucial to the stimulation effect. The pressure sensor helps assess the intensity of the stimulation force to ensure that the physical stimulation is within a tolerable range and does not overload the skin or tissue. The temperature sensor monitors whether discomfort or overheating occurs during stimulation. By acquiring pressure and temperature data in real time, the effect of ultrasonic stimulation can be dynamically analyzed, providing an important basis for subsequent adjustments. Based on this data, the influence of changes in ultrasonic stimulation frequency on pressure and temperature is analyzed and evaluated, thereby deriving pressure and temperature influence factors. These factors lay the foundation for further mechanical vibration analysis, ensuring that stimulation at each frequency meets the expected effect. Secondly, based on previously obtained pressure and temperature influencing factors, we conduct stimulation mechanical vibration analysis on the ultrasound generated by the low-frequency pulsed electromagnetic device. Mechanical vibration is an indispensable factor in the physical stimulation excited by the low-frequency pulsed electromagnetic device, directly affecting the force and fluid dynamic response of tissues and cells. By analyzing the pressure and temperature influencing factors, we can determine the vibration effect and the resulting mechanical effect changes caused by ultrasound stimulation. At this point, by studying the relationship between ultrasound frequency and mechanical vibration, we can more accurately predict the impact of physical stimulation on lymphatic flow velocity and brain electrical activity, and make corresponding adjustments to the stimulation frequency. This not only helps to finely control the low-frequency pulsed electromagnetic device, but also provides data support for the subsequent lymphatic circulation calibration process, thereby accurately assessing the specific impact of physical stimulation intensity, vibration effect, and other factors on lymphatic circulation and cognitive enhancement. Then, by combining lymphatic fluid flow rate, an efficient feedback mechanism is provided to optimize the stimulation effect of the low-frequency pulsed electromagnetic device. By acquiring synchronous data of lymphatic fluid flow rate and EEG neural activity signals, and performing neurocognitive level analysis on the EEG signals, the impact of physical stimulation on the nervous system can be accurately assessed. The EEG neural activity signals reflect the cognitive response and changes in neural activity of the brain when receiving physical stimulation, further helping to determine the effectiveness of the stimulation program. The vibration response calibration mechanism can adjust the lymphatic fluid flow rate in real time according to the vibration effect of physical stimulation, keeping it within an ideal flow rate range. Through this process, it can be ensured that the low-frequency pulsed electromagnetic device not only produces a cognitive enhancement effect on the nervous system, but also simultaneously improves the flow state of the lymphatic system.Finally, by combining the analysis results of lymphatic fluid flow velocity and EEG cognitive level, a multilayer sensor was used to conduct lymphatic circulation cognitive regression analysis. This allowed us to construct a correlation mapping relationship between lymphatic fluid flow velocity and EEG cognitive level. This regression analysis revealed the potential link between stimulation frequency and EEG cognitive level, thus providing a scientific basis for adjusting the stimulation frequency of low-frequency pulsed electromagnetic devices. Through this model analysis based on the combination of flow velocity and EEG activity, the optimal stimulation frequency range can be found to maximize the fluidity of the lymphatic system and the cognitive level of the nervous system. This result will directly affect the drive adjustment scheme of low-frequency pulsed electromagnetic devices, which not only improves the effect of cognitive level but also better promotes the lymphatic circulation process. Attached Figure Description

[0052] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0053] Figure 1 This is a schematic diagram of the modules of the physically stimulated lymphatic circulation and cognitive enhancement system of the present invention.

[0054] Figure 2 for Figure 1 A functional flowchart of the module for assessing the impact of physical stimulation frequency in China;

[0055] Figure 3 for Figure 1 A schematic diagram of the functional flow of the mechanical vibration analysis module. Detailed Implementation

[0056] The technical method of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0057] Furthermore, the accompanying drawings are merely illustrative of the invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor methods and / or microcontroller methods.

[0058] It should be understood that although the terms "first," "second," etc., may be used herein to describe various units, these units should not be limited by these terms. These terms are used merely to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, a first unit may be referred to as a second unit, and similarly, a second unit may be referred to as a first unit. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0059] To achieve the above objectives, please refer to Figures 1 to 3 This invention provides a physically stimulated lymphatic circulation and cognitive enhancement system, the system comprising the following modules:

[0060] The physical stimulation frequency impact assessment module is used to monitor the physical stimulation pressure and skin surface temperature corresponding to the physical stimulation driven by the low-frequency pulse electromagnetic device in real time using pressure and temperature sensors. Based on the physical stimulation pressure and skin surface temperature, the module assesses the impact of the physical stimulation ultrasound corresponding to the low-frequency pulse electromagnetic device on the stimulation frequency to obtain the pressure impact factor and temperature impact factor corresponding to the ultrasound stimulation frequency.

[0061] The stimulation mechanical vibration analysis module is used to perform stimulation mechanical vibration analysis on the physical stimulation ultrasound corresponding to low-frequency pulse electromagnetic equipment based on the pressure influence factor and temperature influence factor corresponding to the ultrasonic stimulation frequency, so as to generate the physical stimulation mechanical vibration effect.

[0062] The lymphatic flow vibration calibration module is used to acquire lymphatic fluid flow velocity and EEG neural activity signals, and to analyze the EEG neural activity signals to obtain the cognitive level of EEG neural activity; based on the mechanical vibration effect of physical stimulation, the lymphatic fluid flow velocity is calibrated by vibration response to generate the corresponding lymphatic fluid velocity under the mechanical vibration of physical stimulation.

[0063] The stimulation frequency drive adjustment module is used to perform lymphatic circulation cognitive regression analysis based on the lymphatic fluid flow rate corresponding to the mechanical vibration of physical stimulation and combined with the cognitive level of EEG neural activity by multilayer sensor, so as to obtain the correlation mapping relationship between lymphatic fluid flow rate and EEG cognitive level; based on the correlation mapping relationship between lymphatic fluid flow rate and EEG cognitive level, the stimulation frequency drive adjustment is performed on the physical stimulation ultrasound corresponding to the low-frequency pulse electromagnetic device to generate a physical stimulation frequency drive adjustment scheme for improving lymphatic circulation cognition.

[0064] In the embodiments of this invention, please refer to Figure 1The diagram shown is a modular schematic of the physically stimulated lymphatic circulation and cognitive enhancement system of the present invention. In this example, the physically stimulated lymphatic circulation and cognitive enhancement system includes the following modules:

[0065] S1: Physical stimulation frequency impact assessment module, which uses pressure and temperature sensors to monitor in real time the physical stimulation driving process generated by the low-frequency pulse electromagnetic device and the corresponding physical stimulation pressure and the stimulated skin surface temperature. Based on the physical stimulation pressure and the stimulated skin surface temperature, the module assesses the stimulation frequency impact of the physical stimulation ultrasound corresponding to the low-frequency pulse electromagnetic device to obtain the pressure impact factor and temperature impact factor corresponding to the ultrasound stimulation frequency.

[0066] In this embodiment of the invention, multiple pressure and temperature sensors are arranged around a low-frequency pulsed electromagnetic device to monitor in real time the physical stimulation applied to the skin surface by the device during operation. The pressure sensors can accurately measure the pressure changes on the skin surface under electromagnetic stimulation at different frequencies. The sensors need to have high response speed and accuracy to ensure that they can capture the minute pressure fluctuations generated by the low-frequency pulsed electromagnetic device. The temperature sensors should be placed on the skin surface to accurately reflect the skin temperature changes caused by the device during operation. During this process, the data collected by the sensors is transmitted to the data processing system through the data acquisition module to record and analyze the temperature and pressure data in real time. Subsequently, based on the pressure and temperature data, the relationship between pressure and temperature changes caused by the low-frequency pulsed electromagnetic device at different stimulation frequencies can be analyzed to further evaluate the influence of ultrasonic stimulation frequency on physical stimulation pressure and temperature, thereby generating pressure and temperature influence factors. The core of this evaluation process is to establish a model to explore the quantitative relationship between ultrasonic stimulation frequency and pressure and temperature, and finally obtain the pressure and temperature influence factors corresponding to the ultrasonic stimulation frequency.

[0067] S2: Stimulation mechanical vibration analysis module, used to perform stimulation mechanical vibration analysis on the physical stimulation ultrasound corresponding to low frequency pulse electromagnetic equipment based on the pressure influence factor and temperature influence factor corresponding to the ultrasonic stimulation frequency, so as to generate physical stimulation mechanical vibration effect.

[0068] In this embodiment of the invention, a model relating ultrasonic stimulation frequency to physical stimulation mechanical vibration is constructed by utilizing previously obtained pressure and temperature influence factors. To perform this analysis, the ultrasonic frequency of physical stimulation generated by the low-frequency pulse electromagnetic device, along with the pressure and temperature influence factors, must first be parameterized and input into mechanical vibration analysis software. This software should have the capability to simulate the mechanical vibration effect of physical stimulation and perform frequency response analysis. By analyzing the influence of different ultrasonic stimulation frequencies on mechanical vibration, the mechanical vibration effect produced by physical stimulation can be obtained. This effect can be used to further infer the influence of stimulation on human lymph flow velocity and brain electrical activity. In this process, the mechanical response characteristics of the device at different operating frequencies must be considered, and the vibration model must be calibrated in conjunction with sensor data to ensure the accuracy of the analysis results. Finally, a physical space field model corresponding to the mechanical vibration effect of physical stimulation is generated.

[0069] S3: Lymphatic flow vibration calibration module, used to acquire lymphatic fluid flow velocity and EEG neural activity signals, and to analyze the EEG neural activity signals to obtain the cognitive level of EEG neural activity; based on the mechanical vibration effect of physical stimulation, the lymphatic fluid flow velocity is calibrated by vibration response to generate the corresponding lymphatic fluid verification flow velocity under the mechanical vibration of physical stimulation.

[0070] In this embodiment of the invention, lymphatic fluid flow velocity and brain electrical activity signals are acquired, and cognitive analysis is performed on the brain electrical signals. First, lymphatic fluid flow velocity data is acquired through embedded sensors or blood flow monitoring devices. These sensors can obtain relevant data by monitoring pressure changes within the lymphatic vessels or by directly measuring the flow velocity. Simultaneously, electroencephalography (EEG) equipment is used to collect brain electrical signals and analyze the neural activity of the brain under physical stimulation by low-frequency pulsed electromagnetic equipment. The acquired brain electrical signals need to undergo digital signal processing and feature extraction to identify brain activity patterns under different cognitive states. Through multi-channel EEG data analysis, the level of neurocognitive function, such as changes in cognitive functions like attention and memory, can be assessed. Next, the brain electrical signals are combined with lymphatic fluid flow velocity data to analyze their interrelationship, and vibration response calibration is performed based on the influence of mechanical vibration on the flow velocity, thereby obtaining the determined lymphatic fluid flow velocity under physical stimulation. This process requires precise control of data time synchronization and calibration to ensure effective fusion of the two data, ultimately generating the determined lymphatic fluid flow velocity corresponding to the mechanical vibration of physical stimulation.

[0071] S4: Stimulation frequency drive adjustment module, used to perform lymphatic circulation cognitive regression analysis based on the lymphatic fluid flow rate corresponding to the mechanical vibration of physical stimulation and combined with the cognitive level of EEG neural activity by multilayer sensor, so as to obtain the correlation mapping relationship between lymphatic fluid flow rate and EEG cognitive level; based on the correlation mapping relationship between lymphatic fluid flow rate and EEG cognitive level, the stimulation frequency drive adjustment is performed on the physical stimulation ultrasound corresponding to the low frequency pulse electromagnetic device to generate a physical stimulation frequency drive adjustment scheme for improving lymphatic circulation cognition.

[0072] In this embodiment of the invention, regression analysis is performed using the correlation between lymphatic fluid flow velocity under physical stimulation and brain electrical neural activity. First, using previously obtained lymphatic fluid flow velocity data, and combining it with a multilayer perceptron (MLP) algorithm, the cognitive level of the EEG signal is modeled. A multilayer perceptron is a deep learning network that can learn and extract the potential mapping relationship between lymphatic fluid flow velocity and EEG cognitive level based on a large amount of input data. Through extensive training data, the model can automatically discover the nonlinear relationship between the two and calculate a mapping model. The establishment of this model depends on the accurate calibration and training of the data, ensuring the representativeness and comprehensiveness of the dataset. After establishing this mapping relationship, the ultrasonic stimulation frequency of the low-frequency pulse electromagnetic device can be finely adjusted based on this model, thereby optimizing the device's operating frequency to achieve the best lymphatic flow promotion and cognitive enhancement effects. In this process, the model will automatically adjust the stimulation frequency according to the influence of different frequencies on the flow velocity, thereby formulating a targeted physical stimulation frequency-driven adjustment scheme to achieve the optimal lymphatic flow and cognitive enhancement effects.

[0073] Furthermore, the physical stimulus frequency impact assessment module includes the following functions:

[0074] The stimulation pressure of the physical stimulation driven process generated by the low-frequency pulse electromagnetic device is monitored in real time using a pressure sensor to obtain the magnitude of the physical stimulation pressure.

[0075] A temperature sensor is used to monitor the skin temperature in real time during the physical stimulation process generated by the low-frequency pulsed electromagnetic device, so as to obtain the surface temperature of the stimulated skin.

[0076] The physical stimulation pressure and the stimulation skin surface temperature are cleaned by using a low-pass filter to remove high-frequency noise in the corresponding time series and a median filter algorithm to remove outliers, so as to obtain the pre-processed stimulation pressure and skin surface temperature.

[0077] The pre-processed stimulation pressure magnitude and skin surface temperature were time-synchronized to obtain the stimulation pressure magnitude sequence and skin surface temperature sequence within the same time range.

[0078] The influence of stimulation frequency on the physical stimulation ultrasound corresponding to low-frequency pulsed electromagnetic devices is evaluated based on the stimulation pressure magnitude sequence and skin surface temperature sequence, so as to obtain the pressure influence factor and temperature influence factor corresponding to the ultrasound stimulation frequency.

[0079] As an embodiment of the present invention, reference is made to... Figure 2 As shown, Figure 1 A functional flowchart of the physical stimulus frequency impact assessment module is shown in this embodiment. The physical stimulus frequency impact assessment module includes the following functions:

[0080] S11: Real-time monitoring of the stimulation pressure during the physical stimulation driving process generated by the low-frequency pulse electromagnetic device is performed using a pressure sensor to obtain the magnitude of the physical stimulation pressure.

[0081] In this embodiment of the invention, a high-precision pressure sensor is placed near the low-frequency pulse electromagnetic device to monitor the physical stimulation pressure generated by the device in real time. The pressure sensor is a piezoelectric sensor that can effectively sense changes in low-frequency pulses and has high sensitivity and response speed. When the low-frequency pulse electromagnetic device stimulates physical stimulation, the pressure sensor captures the minute pressure changes generated by the device during the driving process and converts them into electrical signals for data acquisition. The electrical signals are processed by an analog-to-digital converter to output the corresponding pressure value in real time. The core of this step is to ensure that the pressure sensor has good sensitivity during stimulation and can monitor the physical stimulation pressure generated by the low-frequency pulse electromagnetic device in a timely and accurate manner, and finally obtain the magnitude of the physical stimulation pressure.

[0082] S12: Use a temperature sensor to monitor the skin temperature in real time during the physical stimulation process generated by the low-frequency pulse electromagnetic device, so as to obtain the surface temperature of the stimulated skin.

[0083] In this embodiment of the invention, a temperature sensor is placed near the stimulation area to monitor in real time the effect of the low-frequency pulse electromagnetic device driving process on the skin surface temperature. The selected temperature sensor is a thermocouple or an infrared sensor, which can accurately record the minute changes in skin surface temperature during stimulation. The temperature sensor is placed on the skin surface of the stimulation area, senses temperature changes through a thermosensitive material, and converts them into electrical signals. After this signal is converted from analog to digital, it is transmitted to the data acquisition system for real-time monitoring. By monitoring the skin surface temperature during the stimulation process in real time, the temperature stimulation caused by the device to the skin can be evaluated, and the stimulated skin surface temperature can be obtained.

[0084] S13: Perform stimulation parameter cleaning on the physical stimulation pressure and the stimulated skin surface temperature. Use a low-pass filter to remove high-frequency noise in the corresponding time sequence and a median filter algorithm to remove outliers to obtain the pre-processed stimulation pressure and skin surface temperature.

[0085] In this embodiment of the invention, the real-time collected physical stimulation pressure and skin surface temperature data are processed to remove high-frequency noise and outliers. First, a low-pass filter is used to filter the pressure and temperature data. The cutoff frequency of the low-pass filter is set below the normal noise frequency to effectively remove high-frequency noise from the data. The filtered data can smooth signal fluctuations and retain the effective trends of stimulation pressure and temperature changes. Next, a median filtering algorithm is used to further clean the processed data. Median filtering removes outliers caused by sensor malfunctions or external interference by sorting the data points and selecting the median. Through this step, the obtained pressure and temperature data will have high accuracy, and finally, the pre-processed stimulation pressure and skin surface temperature are obtained.

[0086] S14: Perform time-series synchronization processing on the pre-processed stimulation pressure magnitude and skin surface temperature to obtain the corresponding stimulation pressure magnitude sequence and skin surface temperature sequence within the same time range.

[0087] In this embodiment of the invention, the preprocessed stimulation pressure magnitude sequence and skin surface temperature sequence are time-synchronized to ensure the correspondence between the two data within the same time range. In actual operation, the pressure data and temperature data are first time-aligned so that the two data points are compared at the same time node. If the sampling frequencies of the two data are different, the low-frequency data is interpolated using an interpolation method to ensure consistent pressure and temperature values ​​at each time point. This process uses interpolation algorithms, such as linear interpolation or spline interpolation, to ensure the accuracy of the synchronized data sequence, and finally obtains the stimulation pressure magnitude sequence and skin surface temperature sequence corresponding to the same time range.

[0088] S15: Based on the stimulation pressure magnitude sequence and skin surface temperature sequence, evaluate the stimulation frequency influence of physical stimulation ultrasound corresponding to low-frequency pulsed electromagnetic devices to obtain the pressure influence factor and temperature influence factor corresponding to the ultrasound stimulation frequency.

[0089] In this embodiment of the invention, the influence of physical stimulation generated by a low-frequency pulsed electromagnetic device on ultrasonic frequency is evaluated by analyzing the synchronized stimulation pressure magnitude sequence and skin surface temperature sequence. First, according to the experimental design, a signal processing algorithm is used to perform correlation analysis on the pressure and temperature data to evaluate the correlation between stimulation pressure and skin surface temperature. Then, based on the definitions of pressure influence factor and temperature influence factor, the degree of influence of ultrasonic stimulation frequency on physical stimulation is calculated through numerical simulation or regression analysis. The pressure influence factor characterizes the degree of response of pressure changes to ultrasonic frequency, while the temperature influence factor characterizes the degree of response of skin surface temperature changes to ultrasonic frequency. Finally, based on the above calculation results, a quantitative relationship between ultrasonic stimulation frequency and the influence of pressure and temperature is formed, and the pressure influence factor and temperature influence factor corresponding to the ultrasonic stimulation frequency are obtained.

[0090] Furthermore, the evaluation of the influence of stimulation frequency on the physical stimulation ultrasound corresponding to the low-frequency pulsed electromagnetic device based on the stimulation pressure magnitude sequence and skin surface temperature sequence includes:

[0091] Orthogonal experimental designs for pressure and temperature were performed on the stimulation pressure magnitude sequence and skin surface temperature sequence to generate different combinations of stimulation pressure and skin temperature.

[0092] In this embodiment of the invention, by collecting relevant data on the stimulation pressure magnitude sequence and the skin surface temperature sequence, the stimulation pressure magnitude sequence consists of multiple sets of different pressure values, including low, medium, and high pressure levels, while the skin surface temperature sequence consists of different temperature points, covering multiple temperature values ​​from low to high. By systematically designing these pressure and temperature values, an orthogonal experimental design framework is constructed. This framework ensures that each combination of conditions is fully tested to achieve comprehensive coverage of experimental effects. For example, by setting pressure magnitudes of 10, 20, 30, and 40 Pa and skin temperatures of 28°C, 30°C, 32°C, and 34°C, and combining these stimulation pressure and skin temperature combinations with an orthogonal design scheme, this design, based on the principle of orthogonal experiments, minimizes unnecessary repetitions and fully explores the influence of each variable (stimulation pressure and skin temperature) on the experimental results, ultimately generating different stimulation pressure and skin temperature combinations.

[0093] Preferably, the physical stimulation ultrasound corresponding to the low-frequency pulse electromagnetic device is subjected to stimulation parameter energy attenuation analysis based on different combinations of stimulation pressure and skin temperature, so as to obtain the energy distribution loss of stimulation ultrasound under stimulation pressure and skin temperature conditions.

[0094] In this embodiment of the invention, energy attenuation analysis is performed on the physical stimulation ultrasound generated by a low-frequency pulsed electromagnetic device under different combinations of stimulation pressure and skin temperature. First, based on the stimulation pressure and skin temperature combination conditions obtained from the experimental design, the low-frequency pulsed electromagnetic device is controlled to generate corresponding ultrasonic physical stimulation. During the propagation of ultrasound, different degrees of energy attenuation will occur depending on the environment, such as stimulation pressure and skin temperature. Therefore, it is necessary to measure the energy attenuation of ultrasound under multiple different pressure and temperature conditions. This process is usually carried out by using an energy detector to monitor the energy changes of ultrasound in real time. In the experiment, the propagation of ultrasound under each set of conditions can be measured multiple times, and the energy attenuation value under each condition can be recorded to obtain energy loss data under different conditions. Finally, the energy distribution loss of stimulation ultrasound under stimulation pressure and skin temperature conditions is obtained.

[0095] Preferably, the mean value of stimulation pressure, the standard deviation of stimulation pressure, the mean value of skin temperature, and the standard deviation of skin temperature are obtained by using the stimulation pressure magnitude sequence and the skin surface temperature sequence.

[0096] In this embodiment of the invention, a detailed analysis of the stimulation pressure magnitude sequence and skin temperature sequence is performed. The mean and standard deviation of the pressure and temperature sequences obtained from experiments are calculated respectively. The mean and standard deviation of the stimulation pressure can be determined using statistical methods, such as the arithmetic mean and standard deviation formula. Similarly, the mean and standard deviation of the skin temperature should also be calculated using the same statistical method. Specifically, assuming there are multiple sets of stimulation pressure data, each with values ​​x1, x2, x3, ..., xn, then the mean is (x1 + x2 + ... + xn) / n, and the standard deviation is calculated using the formula... The calculation is performed, where μ is the mean and σ is the standard deviation. The ultimate goal of this step is to obtain the mean and standard deviation of each group of pressure and temperature, and finally obtain the corresponding mean of stimulation pressure, standard deviation of stimulation pressure, mean of skin temperature, and standard deviation of skin temperature.

[0097] Preferably, the stimulation frequency distribution of the physical stimulation ultrasound is obtained by using the physical stimulation ultrasound corresponding to the low-frequency pulse electromagnetic device, and the pressure influence of the stimulation frequency distribution of the physical stimulation ultrasound is evaluated based on the mean stimulation pressure, the standard deviation of stimulation pressure, and the energy distribution loss of the stimulation ultrasound under the stimulation pressure condition, so as to obtain the pressure influence factor corresponding to the ultrasound stimulation frequency.

[0098] In this embodiment of the invention, the stimulation frequency distribution is obtained by using physical stimulation ultrasound generated by a low-frequency pulsed electromagnetic device. By monitoring the frequency of the device's output signal and combining it with the stimulation pressure conditions obtained from the experimental design, the frequency distribution change of ultrasound under different pressures is measured. Specifically, the ultrasound stimulation frequency under each pressure condition is collected and analyzed by a spectrum analyzer to obtain frequency distribution data. Then, based on the mean, standard deviation, and energy distribution loss of each stimulation pressure, the pressure influence of the frequency distribution is evaluated using a specific mathematical model. During this evaluation process, the pressure-related influence factor is calculated based on the ultrasound energy attenuation under different pressures, combined with the mean and standard deviation of the stimulation pressure. For example, the pressure influence factor = (energy loss attenuation rate under pressure conditions × frequency change amplitude) / frequency change density. Typically, the calculation of this influence factor involves regression analysis of energy attenuation data and frequency distribution to obtain a pressure influence factor for each frequency, ultimately yielding the pressure influence factor corresponding to the ultrasound stimulation frequency.

[0099] Preferably, the temperature influence of the stimulation frequency distribution corresponding to the physical stimulation ultrasound is evaluated based on the mean skin temperature, the standard deviation of skin temperature, and the energy distribution loss of the stimulation ultrasound under the skin temperature conditions, so as to obtain the temperature influence factor corresponding to the ultrasound stimulation frequency.

[0100] In this embodiment of the invention, the temperature influence of ultrasound stimulation frequency is assessed based on skin temperature conditions. First, the frequency distribution of ultrasound generated by a low-frequency pulsed electromagnetic device is monitored to obtain corresponding frequency data. Then, using the mean and standard deviation of skin temperature, the energy distribution loss of ultrasound is recorded and analyzed under different temperature conditions. By comparing the energy attenuation at different temperatures, the influence of temperature on the ultrasound frequency distribution can be determined. For this purpose, a temperature sensor can be used to measure the skin surface temperature under each experimental condition. Combined with the temperature value and the corresponding energy attenuation data, the influence of temperature on the stimulation frequency is evaluated through a mathematical model. Based on the relationship between temperature data and energy loss, a temperature influence factor is calculated, which is also known as the temperature influence factor = (energy loss attenuation rate under temperature conditions × frequency change amplitude) / frequency change density. This influence factor reveals the changing trend of ultrasound stimulation frequency under different temperature conditions, and finally, the temperature influence factor corresponding to the ultrasound stimulation frequency is obtained.

[0101] Furthermore, the assessment of the impact of pressure on the stimulation frequency distribution of physical stimulation ultrasound based on the mean stimulation pressure, the standard deviation of stimulation pressure, and the energy distribution loss of stimulation ultrasound under the stimulation pressure conditions includes:

[0102] Based on the mean and standard deviation of stimulus pressure, the skewness and kurtosis of the stimulus pressure magnitude sequence are measured to obtain the skewness and kurtosis of the stimulus pressure distribution.

[0103] In this embodiment of the invention, stimulation pressure sequence data is acquired, representing pressure values ​​under different ultrasound stimulation. The mean and standard deviation of the pressure are calculated using this data as basic characteristics for measuring stimulation pressure. Next, based on the acquired mean and standard deviation of the stimulation pressure, the skewness and kurtosis of the pressure distribution are calculated using statistical methods. Skewness reflects the asymmetry of the pressure distribution, and the calculation formula is: Skewness = Where x_i is each data point, μ is the mean, σ is the standard deviation, N is the sample size, and kurtosis reflects the sharpness of the pressure distribution. The specific formula for calculation is kurtosis = These two indicators provide a more comprehensive understanding of the distribution characteristics of stimulus pressure, laying the foundation for subsequent energy loss analysis and ultimately yielding the skewness and kurtosis of the stimulus pressure distribution.

[0104] Preferably, based on the skewness and kurtosis of the stimulation pressure distribution, a statistical analysis of the energy loss of the stimulation ultrasound under the stimulation pressure condition is performed to obtain the energy loss attenuation rate of the stimulation ultrasound energy under different stimulation pressure distributions.

[0105] In this embodiment of the invention, based on the skewness and kurtosis of the stimulation pressure distribution obtained in the previous step, a statistical analysis of the energy loss and attenuation rate of the stimulation ultrasound is initiated. Through experiments or simulations, energy attenuation data during ultrasound transmission under different pressure conditions is recorded. By using the stimulation pressure distribution skewness and kurtosis data corresponding to different pressures, the energy loss and attenuation of ultrasound under different pressure distribution patterns can be analyzed. The energy attenuation rate can be described by the formula: Attenuation Rate = (ΔEnergy / ΔTime) × Skewness × Where Δenergy is the change in energy per unit time, and Δtime is the corresponding time interval. By comparing the energy loss attenuation rate under different stimulation pressure distributions, the influence of stimulation pressure on ultrasound energy attenuation can be accurately quantified, and the energy loss attenuation rate of stimulation ultrasound energy under different stimulation pressure distributions can be obtained.

[0106] Preferably, the stimulation frequency distribution corresponding to the physical stimulus ultrasound is analyzed to obtain the amplitude of the ultrasound stimulation frequency change and the density of the ultrasound stimulation frequency change.

[0107] In this embodiment of the invention, a detailed analysis of the changes in the frequency distribution of ultrasonic stimulation is conducted. First, frequency change data during ultrasonic stimulation is collected through experiments or equipment. Then, frequency domain analysis methods such as Fourier transform are used to convert the time-domain frequency data into a frequency distribution. Subsequently, the amplitude and density of the ultrasonic stimulation frequency change are calculated. The frequency change amplitude represents the maximum change value of the ultrasonic stimulation frequency within a given time period, and the formula is frequency change amplitude = max(frequency) - min(frequency). The frequency change density refers to the frequency of frequency changes, which is usually measured by counting the number of events in each frequency change interval, and the formula is frequency change density = number of events / frequency range. Through this step of analysis, the characteristics of ultrasonic stimulation frequency change can be obtained, and finally, the amplitude and density of ultrasonic stimulation frequency change are obtained.

[0108] Preferably, the pressure influence of the ultrasonic stimulation frequency variation amplitude and ultrasonic stimulation frequency variation density is evaluated based on the energy loss attenuation rate corresponding to different stimulation pressure distributions, so as to obtain the pressure influence factor corresponding to the ultrasonic stimulation frequency.

[0109] In this embodiment of the invention, the pressure influence factor corresponding to the ultrasonic stimulation frequency is calculated and evaluated by combining the previously quantified energy loss attenuation rate with the obtained amplitude and density of ultrasonic stimulation frequency changes. First, based on the energy loss attenuation rate under different pressure distributions, combined with the amplitude and density of stimulation frequency changes, the pressure influence factor of the ultrasonic stimulation frequency is calculated using methods such as weighted average or regression analysis. The formula for calculating the pressure influence factor is: Pressure influence factor = (Energy loss attenuation rate × Frequency change amplitude) / Frequency change density. This index characterizes the degree of influence of ultrasonic frequency changes under different pressures. By evaluating this factor, ultrasonic stimulation conditions can be optimized to improve lymphatic circulation and cognitive enhancement, ultimately obtaining the pressure influence factor corresponding to the ultrasonic stimulation frequency.

[0110] Furthermore, the stimulus mechanical vibration analysis module includes the following functions:

[0111] Based on the pressure influence factor corresponding to the ultrasonic stimulation frequency, the pressure influence trend field of the physical stimulation ultrasonic waves corresponding to the low-frequency pulse electromagnetic device is analyzed to generate the influence trend field of the pressure influence factor on the ultrasonic stimulation frequency under different stimulation pressure levels.

[0112] Based on the temperature influence factor corresponding to the ultrasonic stimulation frequency, the temperature field of the physical stimulation ultrasonic waves corresponding to the low-frequency pulse electromagnetic device is analyzed to generate the field of the effect of the temperature influence factor on the ultrasonic stimulation frequency in different temperature ranges.

[0113] Frequency domain propagation characteristics of the physical stimulation ultrasound corresponding to low frequency pulsed electromagnetic equipment are analyzed to obtain the propagation characteristics of the physical stimulation ultrasound at different stimulation frequencies, including wavelength and wave speed.

[0114] Based on the influence trend field of pressure influence factor on ultrasonic stimulation frequency under different stimulation pressure levels and the action law field of temperature influence factor on ultrasonic stimulation frequency in different temperature ranges, mechanical vibration coupling analysis is performed on the propagation characteristics of physical stimulation ultrasonic waves at different stimulation frequencies to generate the mechanical vibration effect of physical stimulation.

[0115] As an embodiment of the present invention, reference is made to... Figure 3 As shown, Figure 1 A functional flowchart of the stimulus mechanical vibration analysis module is shown in this embodiment. The stimulus mechanical vibration analysis module includes the following functions:

[0116] S21: Based on the pressure influence factor corresponding to the ultrasonic stimulation frequency, the pressure influence trend field of the physical stimulation ultrasonic waves corresponding to the low-frequency pulse electromagnetic device is analyzed to generate the influence trend field of the pressure influence factor on the ultrasonic stimulation frequency under different stimulation pressure levels.

[0117] In this embodiment of the invention, the frequency range of the physical stimulation ultrasound emitted by the low-frequency pulse electromagnetic device is selected, and then the pressure influence factor is analyzed based on this frequency range. First, the variation law of the ultrasound stimulation frequency under different pressures is measured using a pressure sensor and an ultrasound sensing device. The ultrasound stimulation at different pressure levels is simulated using a standardized pressure device. The pressure levels can be grouped from low to high, for example, the pressure is gradually adjusted from 0 to 1000 Pa to ensure that the ultrasound frequency response characteristics at each pressure level can be captured. Under each pressure condition, the frequency response change of the ultrasound is recorded, and trend analysis is performed using data analysis software. The pressure influence data at different pressure levels is organized into a trend field of pressure influence factors. Through mathematical modeling, the influence law of pressure on ultrasound frequency is obtained. In this way, the influence trend field of pressure influence factors on ultrasound stimulation frequency at different stimulation pressure levels can be constructed, accurately evaluating the performance of ultrasound under pressure changes, and finally generating the influence trend field of pressure influence factors on ultrasound stimulation frequency at different stimulation pressure levels.

[0118] S22: Based on the temperature influence factor corresponding to the ultrasonic stimulation frequency, the temperature field of the physical stimulation ultrasonic waves corresponding to the low-frequency pulse electromagnetic device is analyzed to generate the field of the effect of the temperature influence factor on the ultrasonic stimulation frequency in different temperature ranges.

[0119] In this embodiment of the invention, the influence of temperature on ultrasonic frequency needs to be precisely controlled and measured using temperature sensors and temperature control equipment. First, the ultrasonic stimulation device is connected to the temperature control system to ensure precise control of temperature changes. Within a set temperature range, such as from 10°C to 80°C, multiple temperature values ​​are set and gradually varied, for example, from 10°C, 20°C, 30°C... to 80°C. For each set temperature range, the frequency change data of the ultrasonic wave within that temperature range is recorded. A multi-channel temperature sensor records the temperature information during each change, and an ultrasonic frequency monitoring system collects ultrasonic frequency data in real time. Data processing algorithms are then used to analyze the relationship between temperature and ultrasonic frequency. Through this analysis, the specific law of the effect of temperature change on ultrasonic stimulation frequency can be obtained, ensuring the operational effect under different temperature conditions. Finally, a field of the law of the effect of temperature influence factors on ultrasonic stimulation frequency in different temperature ranges is generated.

[0120] S23: Perform frequency domain propagation characteristic analysis on the physical stimulation ultrasound corresponding to the low-frequency pulsed electromagnetic device to obtain the propagation characteristics of the physical stimulation ultrasound at different stimulation frequencies, including wavelength and wave speed.

[0121] In this embodiment of the invention, a series of ultrasonic signals of different frequencies are generated by a frequency generator in the laboratory under different frequency conditions. During signal transmission, a high-precision sensor is used to measure the propagation speed and wavelength of the ultrasonic waves. During the experiment, ultrasonic signals of different frequencies can be set, such as from 1 kHz to 5 MHz, and tested one by one. During the test, the propagation time of the ultrasonic signals is recorded in real time by a receiving sensor, and the wave speed and wavelength of the ultrasonic waves at different frequencies are calculated based on the propagation time of the signals and the known sound speed of the medium. By analyzing the data, the propagation characteristics of the physical stimulus ultrasonic waves at different stimulus frequencies are finally obtained, ensuring a comprehensive understanding of the propagation behavior of ultrasonic waves.

[0122] S24: Based on the influence trend field of pressure influence factor on ultrasonic stimulation frequency under different stimulation pressure levels and the action law field of temperature influence factor on ultrasonic stimulation frequency in different temperature ranges, mechanical vibration coupling analysis is performed on the propagation characteristics of physical stimulation ultrasonic waves at different stimulation frequencies to generate the mechanical vibration effect of physical stimulation.

[0123] In this embodiment of the invention, by combining the influence law of pressure influence factor and temperature influence factor on ultrasonic frequency obtained in the aforementioned steps, a mechanical vibration coupling analysis is further performed. First, the mechanical vibration effect of ultrasonic waves at different frequencies is simulated using physical modeling software. Based on the data from the aforementioned analysis of pressure influence factor and temperature influence factor, the ultrasonic stimulation characteristics under different pressure, temperature and frequency conditions are input into the mechanical model. In the model, the vibration transmission characteristics of relevant materials, boundary conditions and the interaction between different physical fields are set. Then, through numerical calculation and simulation, the coupling effect between ultrasonic waves and pressure and temperature is obtained, and the intensity and distribution of the mechanical vibration effect are further calculated. This process is simulated and calculated using the finite element method (FEM). Through data output, the mechanical vibration effect produced by physical stimulation ultrasonic waves at different stimulation frequencies is analyzed and obtained, and finally, the physical stimulation mechanical vibration effect is generated.

[0124] Furthermore, the lymphatic flow vibration calibration module includes the following functions:

[0125] Acquire lymphatic fluid flow velocity and brain electrical nerve activity signals;

[0126] In this embodiment of the invention, the physiological signals of the subjects are monitored in real time. High-precision blood flow detection instruments, such as ultrasonic blood flow monitors or flow sensors, are used to acquire the lymphatic fluid flow velocity. These devices sense the flow of lymphatic vessels, measure the flow velocity and flow rate of lymphatic fluid, and ensure the stability and accuracy of the signals. Simultaneously, brain electrical activity signals are acquired using an electroencephalogram (EEG) device. The EEG device is placed on the scalp surface via an electrode array to record brain electrical activity signals in real time. To ensure high signal quality, the EEG device employs a high sampling rate to capture minute fluctuations in brain electrical activity and filters and processes noise to ensure data reliability in subsequent analysis, ultimately obtaining the lymphatic fluid flow velocity and brain electrical activity signals.

[0127] Preferably, the brain electrical neural activity signal is decomposed into multi-scale frequency bands, so as to use wavelet transform to decompose the brain electrical neural activity signal into sub-signals under different frequency bands and generate corresponding brain electrical activity sub-signals under different scale frequency bands.

[0128] In this embodiment of the invention, wavelet transform is used to decompose the electroencephalogram (EEG) signal into frequency bands. First, the discrete wavelet transform (DWT) method is used to decompose the original EEG signal into multiple scales. Wavelet transform can effectively extract different frequency components in the signal, enabling the analysis of brain activity in different frequency bands. Specifically, the EEG signal is decomposed into multiple frequency bands: 0-4Hz, 4-8Hz, 8-13Hz, 13-30Hz, and above 30Hz. Each frequency band represents different types of neural activity in the brain. Low-frequency bands (such as 0-4Hz) are associated with deep sleep and rest, while high-frequency bands (such as above 30Hz) are associated with cognitive activity or attention. Through this process, the original EEG signal is finely decomposed into multiple sub-signals, ultimately generating corresponding brain activity sub-signals at different scale frequency bands.

[0129] Preferably, time-domain signal feature analysis is performed on the corresponding EEG activity sub-signals at different scale frequency bands to obtain the time-domain features of the EEG signals at different scale frequency bands, including mean, variance and peak value;

[0130] In this embodiment of the invention, the time-domain signal characteristics of the EEG activity sub-signals for each frequency band are first calculated. For each frequency band sub-signal, the extracted time-domain features include mean, variance, and peak value. The mean represents the average level of the signal, the variance reflects the degree of signal fluctuation, and the peak value identifies the maximum value of the signal. Specifically, time-domain statistical analysis tools are used to calculate the EEG signals of each frequency band point by point to obtain the corresponding statistical quantities such as mean, variance, and peak value. These time-domain features can provide basic data for subsequent cognitive activity feature analysis, further reveal the relationship between EEG signals of different frequency bands and neurocognitive activities, and finally obtain the corresponding EEG signal time-domain features at different scale frequency bands.

[0131] Preferably, cognitive activity feature correlation analysis is performed on the EEG activity sub-signals at the corresponding scale frequency bands based on the temporal characteristics of the corresponding EEG signals at different scale frequency bands to obtain the cognitive role mapping relationship between EEG signals at different frequency bands and neurocognitive activities; neurocognitive level analysis is performed on the EEG neural activity signals based on the cognitive role mapping relationship between EEG signals at different frequency bands and neurocognitive activities to obtain the cognitive level of EEG neural activity.

[0132] In this embodiment of the invention, a correlation analysis of cognitive activity features is performed based on previously obtained temporal characteristics. Specifically, statistical analysis methods, such as Pearson correlation analysis and regression analysis, are used to analyze the correlation between EEG signal features (such as mean, variance, and peak value) of different frequency bands and known cognitive activities. For example, low-frequency signals (such as 0-4Hz) are correlated with cognitive activities in resting states and deep sleep; high-frequency signals (such as above 30Hz) are correlated with cognitive activities with high cognitive load or focused attention. These analyses help establish the mapping relationship between EEG signals of different frequency bands and neurocognitive activities, further revealing the role of EEG activities of different frequency bands in different cognitive states, thereby obtaining the cognitive role mapping relationship between EEG signals of different frequency bands and neurocognitive activities. Simultaneously, by comprehensively analyzing the subjects' EEG activity based on the previously derived cognitive mapping relationship, their neurocognitive level is assessed. In practice, by combining the temporal characteristics of EEG signals at different frequency bands with the correlation between cognitive activities, machine learning methods such as support vector machines (SVM) or neural networks (ANN) can be used to classify and analyze EEG signals to determine the level of cognitive function. For example, a model can be trained to take EEG signal features at different frequency bands as input and output corresponding cognitive level scores, thereby quantitatively assessing the individual's cognitive function and ultimately obtaining the cognitive level of EEG neural activity.

[0133] Preferably, the flow rate of lymph is calibrated by vibration response based on the mechanical vibration effect of physical stimulation and combined with nonlinear regression fitting method, so as to generate the lymph flow rate corresponding to the mechanical vibration of physical stimulation.

[0134] In this embodiment of the invention, the lymphatic flow rate is precisely calibrated by using the previously analyzed physical stimulation mechanical vibration effect (such as mechanical vibration). First, a vibration stimulation device (such as a frequency-adjustable vibrator) is used to mechanically vibrate the area around the lymphatic vessels to simulate the effect of physical vibration on the lymphatic flow rate. Then, the changes in lymphatic flow rate at different vibration frequencies are recorded. By collecting flow rate data under vibration stimulation, a nonlinear regression fitting method is used for data analysis. The regression model obtained by fitting can accurately predict the change law of lymphatic flow rate under different vibration conditions and generate a flow rate calibration curve. This process ensures the precise control of lymphatic flow rate under vibration effect and finally generates the lymphatic flow rate corresponding to physical stimulation mechanical vibration.

[0135] Furthermore, the corresponding EEG activity sub-signals at different scale frequency bands specifically include 0-4Hz. Wave, 4-8Hz Wave, 8-13Hz Wave, 13-30Hz Waves and above 30Hz The brainwave activity signals corresponding to the wave.

[0136] Furthermore, the stimulation frequency drive adjustment module includes the following functions:

[0137] Based on the lymphatic fluid flow rate corresponding to the mechanical vibration of physical stimuli, the brain electrical neural activity cognitive level is analyzed to obtain the characteristic changes of brain electrical cognitive level under different lymphatic fluid flow rates, including frequency distribution and amplitude.

[0138] In this embodiment of the invention, when analyzing the changes in brain electrical cognitive levels based on the flow velocity of lymphatic fluid under mechanical vibration of physical stimulation, it is first necessary to collect the subject's brain electrical signals using a non-invasive device (e.g., an electroencephalogram). Simultaneously, mechanical vibration stimulation of a specific frequency and intensity is applied to the subject to regulate the flow velocity of the lymphatic fluid. For lymphatic fluid at different flow velocities, the electroencephalogram records the corresponding brain electrical signals and performs detailed analysis of the frequency distribution and amplitude of the signals. By processing the brain electrical signals through filtering, power spectral density analysis, and waveform analysis, the changes in brain electrical characteristics under different flow velocities are identified and compared with changes in cognitive levels. This results in a database of frequency distribution and amplitude changes in brain electrical cognitive levels under different lymphatic fluid flow velocities. The key to this analysis process is acquiring clear and accurate electroencephalogram signals and using advanced signal processing techniques to extract relevant features, ultimately obtaining the characteristic changes in brain electrical cognitive levels corresponding to different lymphatic fluid flow velocities, including frequency distribution and amplitude.

[0139] Preferably, a linear regression fitting analysis is performed on the relationship between lymph flow velocity and cognitive level of brain activity based on the characteristic changes corresponding to EEG cognitive level under different lymph flow velocities, so as to generate a linear regression fitting mathematical relationship between lymph flow velocity and EEG cognitive level.

[0140] In this embodiment of the invention, after obtaining the characteristic changes corresponding to EEG cognitive levels under different lymphatic flow rates, linear regression fitting analysis is performed using statistical analysis tools (such as SPSS or Matlab). Specifically, each set of data is first standardized to transform the EEG cognitive characteristics under different flow rates into a unified and comparable scale. Then, based on this dataset, a linear regression model is performed to model the relationship between lymphatic flow rate and EEG cognitive level. By using regression analysis methods such as least squares, a linear regression mathematical model between lymphatic flow rate and EEG cognitive level is established. The parameters in the regression equation can reflect the degree and direction of the influence of flow rate changes on cognitive level. The core task of this step is to confirm the linear relationship between flow rate and cognitive changes through regression analysis and to use the regression equation to provide a mathematical basis for subsequent steps. Finally, a linear regression fitting mathematical relationship between lymphatic flow rate and EEG cognitive level is generated.

[0141] Preferably, a linear regression fitting mathematical relationship between lymphatic fluid flow velocity and EEG cognitive level is performed, and a multilayer perceptron is used to perform a lymphatic flow cognitive mapping analysis between lymphatic fluid flow velocity and EEG cognitive level, so as to obtain the correlation mapping relationship between lymphatic fluid flow velocity and EEG cognitive level.

[0142] In this embodiment of the invention, a deep mapping analysis of the relationship between lymphatic fluid flow velocity and EEG cognitive level is performed by fitting a mathematical relationship based on a previously obtained linear regression and combining it with a multilayer perceptron (MLP) neural network model. First, the features obtained from the linear regression analysis are used as input features, and the changes in EEG cognitive level are used as output labels. The MLP network is trained to learn from these data to form a correlation mapping model between lymphatic fluid flow velocity and EEG cognitive level. Specifically, the network continuously adjusts the weights and biases through feedforward and backpropagation mechanisms to minimize prediction errors. During the training process, different input features and output labels undergo complex nonlinear transformations through multiple hidden layers, enabling the model to capture the complex relationship between flow velocity and cognition. Through this step, an accurate mapping relationship is obtained, which can effectively predict changes in EEG cognitive level under different lymphatic fluid flow velocities, ultimately yielding the correlation mapping relationship between lymphatic fluid flow velocity and EEG cognitive level.

[0143] Preferably, the stimulation frequency of the physical stimulation ultrasound corresponding to the low-frequency pulse electromagnetic device is adjusted based on the correlation between lymphatic fluid flow velocity and EEG cognitive level, so as to generate a physical stimulation frequency adjustment scheme corresponding to lymphatic circulation cognitive enhancement.

[0144] In this embodiment of the invention, a driving adjustment scheme for physical stimulation frequency is designed based on the previously obtained correlation mapping relationship between lymphatic fluid flow velocity and EEG cognitive level. In this process, firstly, stimulation frequency and intensity parameters are input into the physical stimulation ultrasound device according to different flow velocity conditions. The ultrasound device mechanically stimulates the body to regulate lymphatic fluid flow velocity. When the improvement of EEG cognitive level is slow, the adjustment scheme for stimulation frequency and intensity is determined according to the correlation mapping relationship. The stimulation intensity and duration of specific frequencies are gradually increased to enhance lymphatic fluid flow velocity and promote the improvement of EEG cognitive level. Conversely, when the improvement of EEG cognitive level is too fast, the system automatically adjusts the physical stimulation device to reduce the stimulation frequency and intensity to avoid adverse reactions caused by excessively fast flow velocity. Thus, the stable growth of cognitive level is maintained through appropriate stimulation adjustment to precisely control the stimulation mode of the ultrasound device and adjust the stimulation frequency and intensity in real time according to feedback signals to achieve the best cognitive improvement effect. Finally, a physical stimulation frequency driving adjustment scheme corresponding to lymphatic flow cognitive improvement is generated.

[0145] Furthermore, the physical stimulation frequency-driven adjustment scheme corresponding to the lymphatic flow cognitive enhancement is as follows: when the EEG cognitive level improves slowly under the corresponding lymphatic flow rate, the stimulation intensity and duration of a specific stimulation frequency are increased according to the stimulation frequency change pattern corresponding to the physical stimulation ultrasound under the lymphatic flow rate to promote lymphatic flow and thus enhance the EEG cognitive level; when the EEG cognitive level improves too quickly under the corresponding lymphatic flow rate, the stimulation intensity and duration of a specific stimulation frequency are reduced according to the stimulation frequency change pattern corresponding to the physical stimulation ultrasound under the lymphatic flow rate to slow down lymphatic flow and thus lower the EEG cognitive level.

[0146] Furthermore, the present invention also provides a method for physically stimulated lymphatic circulation and cognitive enhancement, the method being implemented based on the aforementioned physically stimulated lymphatic circulation and cognitive enhancement system, the method comprising:

[0147] The physical stimulation pressure and skin surface temperature generated by the low-frequency pulsed electromagnetic device are monitored in real time using pressure and temperature sensors. The stimulation frequency of the ultrasonic stimulation generated by the low-frequency pulsed electromagnetic device is evaluated based on the physical stimulation pressure and skin surface temperature to obtain the pressure and temperature influence factors corresponding to the ultrasonic stimulation frequency.

[0148] Based on the pressure and temperature influence factors corresponding to the ultrasonic stimulation frequency, the physical stimulation ultrasonic waves of low-frequency pulse electromagnetic devices are analyzed to generate the physical stimulation mechanical vibration effect.

[0149] The flow velocity of lymphatic fluid and brain electrical activity signals were acquired, and the neurocognitive level of the brain electrical activity signals was analyzed to obtain the cognitive level of brain electrical activity. The flow velocity of lymphatic fluid was calibrated based on the mechanical vibration effect of physical stimulation to generate the corresponding lymphatic fluid velocity under the mechanical vibration of physical stimulation.

[0150] Based on the lymphatic fluid velocity corresponding to the mechanical vibration of physical stimulation and combined with the cognitive level of EEG neural activity by multilayer sensor, a lymphatic circulation cognitive regression analysis was performed to obtain the correlation mapping relationship between lymphatic fluid velocity and EEG cognitive level. Based on the correlation mapping relationship between lymphatic fluid velocity and EEG cognitive level, the stimulation frequency of the physical stimulation ultrasound corresponding to the low-frequency pulse electromagnetic device was adjusted to generate a physical stimulation frequency adjustment scheme to improve lymphatic circulation cognition.

[0151] Therefore, the embodiments should be considered as exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of the equivalents of the application are intended to be included within the invention.

[0152] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features of the invention herein.

Claims

1. A physical stimulation driven lymphatic flow circulation and cognitive enhancement system, characterized in that, The method comprises the following modules: A physical stimulation frequency influence evaluation module is used for monitoring the physical stimulation pressure and the stimulation skin surface temperature in the physical stimulation driving process generated by the low-frequency pulse electromagnetic device in real time by using a pressure sensor and a temperature sensor, and evaluating the stimulation frequency influence of the corresponding physical stimulation ultrasonic wave of the low-frequency pulse electromagnetic device based on the physical stimulation pressure and the stimulation skin surface temperature, so as to obtain the pressure influence factor and the temperature influence factor corresponding to the ultrasonic wave stimulation frequency; wherein the following functions are included: The stimulation pressure real-time monitoring of the physical stimulation driving process generated by the low-frequency pulse electromagnetic device is performed by using the pressure sensor, so as to obtain the physical stimulation pressure; The stimulation skin temperature real-time monitoring of the physical stimulation driving process generated by the low-frequency pulse electromagnetic device is performed by using the temperature sensor, so as to obtain the stimulation skin surface temperature; The stimulation parameter cleaning processing of the physical stimulation pressure and the stimulation skin surface temperature is performed, so as to remove the high-frequency noise under the corresponding time sequence by using a low-pass filter, and remove the corresponding abnormal value by using a median filtering algorithm, so as to obtain the preprocessed stimulation pressure and the skin surface temperature; The time sequence synchronization processing of the preprocessed stimulation pressure and the skin surface temperature is performed, so as to obtain the stimulation pressure sequence and the skin surface temperature sequence corresponding to the same time sequence range; The stimulation frequency influence evaluation of the corresponding physical stimulation ultrasonic wave of the low-frequency pulse electromagnetic device is performed based on the stimulation pressure sequence and the skin surface temperature sequence, so as to obtain the pressure influence factor and the temperature influence factor corresponding to the ultrasonic wave stimulation frequency; wherein the following functions are included: The orthogonal experiment design of the stimulation pressure sequence and the skin surface temperature sequence is performed, so as to generate different stimulation pressure and skin temperature combination conditions; The stimulation parameter energy attenuation analysis of the corresponding physical stimulation ultrasonic wave of the low-frequency pulse electromagnetic device is performed based on the different stimulation pressure and skin temperature combination conditions, so as to obtain the stimulation ultrasonic wave energy distribution loss corresponding to the stimulation pressure and skin temperature conditions; The corresponding stimulation pressure mean value, stimulation pressure standard deviation, skin temperature mean value and skin temperature standard deviation are obtained through the stimulation pressure sequence and the skin surface temperature sequence; The stimulation frequency distribution of the corresponding physical stimulation ultrasonic wave is obtained through the corresponding physical stimulation ultrasonic wave of the low-frequency pulse electromagnetic device, and the pressure influence evaluation of the stimulation frequency distribution of the corresponding physical stimulation ultrasonic wave is performed based on the stimulation pressure mean value, the stimulation pressure standard deviation and the stimulation ultrasonic wave energy distribution loss under the stimulation pressure condition, so as to obtain the pressure influence factor corresponding to the ultrasonic wave stimulation frequency; wherein the following functions are included: The pressure distribution skewness and kurtosis measurement of the stimulation pressure sequence is performed based on the stimulation pressure mean value and the stimulation pressure standard deviation, so as to obtain the stimulation pressure distribution skewness and the stimulation pressure distribution kurtosis; Based on the stimulation pressure distribution skewness and the stimulation pressure distribution kurtosis, the loss attenuation statistical analysis is performed on the corresponding stimulation ultrasonic energy distribution loss under the stimulation pressure condition, to obtain the energy loss attenuation rate of the stimulation ultrasonic energy under different stimulation pressure distributions, wherein the energy loss attenuation rate = (Δenergy / Δtime) × skewness × kurtosis wherein Δenergy is the energy change amount per unit time, and Δtime is the corresponding time interval. The stimulation frequency change analysis of the stimulation frequency distribution of the corresponding physical stimulation ultrasonic wave is performed, so as to obtain the ultrasonic wave stimulation frequency change amplitude and the ultrasonic wave stimulation frequency change density; The pressure influence factor of the ultrasonic stimulation frequency is obtained by evaluating the pressure influence of the ultrasonic stimulation frequency on the amplitude and density of the ultrasonic stimulation frequency based on the energy loss decay rate of the stimulated ultrasonic energy under different stimulation pressure distributions; wherein the pressure influence factor = (energy loss decay rate × ultrasonic stimulation frequency variation amplitude) / ultrasonic stimulation frequency variation density; The temperature influence factor of the ultrasonic stimulation frequency is obtained by evaluating the temperature influence of the ultrasonic stimulation frequency on the amplitude and density of the ultrasonic stimulation frequency based on the mean skin temperature, the standard deviation of the skin temperature, and the distribution loss of the stimulated ultrasonic energy under the skin temperature condition; The stimulated mechanical vibration analysis module is used to analyze the stimulated mechanical vibration of the physical stimulation ultrasonic wave corresponding to the low-frequency pulsed electromagnetic device based on the pressure influence factor and the temperature influence factor of the ultrasonic stimulation frequency, to generate the physical stimulation mechanical vibration effect; wherein the following functions are included: The pressure influence trend field analysis of the physical stimulation ultrasonic wave corresponding to the low-frequency pulsed electromagnetic device is performed based on the pressure influence factor of the ultrasonic stimulation frequency, to generate the influence trend field of the pressure influence factor on the ultrasonic stimulation frequency under different stimulation pressure levels; The temperature action field analysis of the physical stimulation ultrasonic wave corresponding to the low-frequency pulsed electromagnetic device is performed based on the temperature influence factor of the ultrasonic stimulation frequency, to generate the action law field of the temperature influence factor on the ultrasonic stimulation frequency in different temperature intervals; The frequency domain propagation characteristic analysis of the physical stimulation ultrasonic wave corresponding to the low-frequency pulsed electromagnetic device is performed, to obtain the propagation characteristics of the physical stimulation ultrasonic wave under different stimulation frequencies, including wavelength and wave speed; The mechanical vibration coupling analysis of the propagation characteristics of the physical stimulation ultrasonic wave under different stimulation frequencies is performed based on the influence trend field of the pressure influence factor on the ultrasonic stimulation frequency under different stimulation pressure levels and the action law field of the temperature influence factor on the ultrasonic stimulation frequency in different temperature intervals, to generate the physical stimulation mechanical vibration effect; The lymphatic flow vibration calibration module is used to obtain the lymphatic flow velocity and the electroencephalogram (EEG) signal, and analyze the neural cognitive level of the EEG signal to obtain the cognitive level of the EEG neural activity; the vibration response calibration of the lymphatic flow velocity is performed based on the physical stimulation mechanical vibration effect, to generate the lymphatic flow velocity corresponding to the physical stimulation mechanical vibration; wherein the following functions are included: Obtain the lymphatic flow velocity and the EEG signal; Perform multi-scale frequency band decomposition on the EEG signal to decompose the EEG signal into sub-signals under different frequency bands using wavelet transform, to generate the EEG activity sub-signals under different scale frequency bands; Perform time domain signal feature analysis on the EEG activity sub-signals under different scale frequency bands to obtain the time domain features of the EEG signals under different scale frequency bands, including mean, variance, and peak value; The cognitive activity feature correlation analysis is performed on the brain electrical activity sub-signals in the corresponding scale frequency band based on the time domain features of the corresponding brain electrical signals in different scale frequency bands, to obtain the cognitive action mapping relationship between the brain electrical signals in different frequency bands and the neural cognitive activities; and the neural cognitive level analysis is performed on the brain electrical neural activity signals based on the cognitive action mapping relationship between the brain electrical signals in different frequency bands and the neural cognitive activities, to obtain the cognitive level of the brain electrical neural activity; The vibration response calibration is performed on the lymphatic fluid flow velocity based on the physical stimulation mechanical vibration effect and the nonlinear regression fitting method, to generate the corresponding lymphatic fluid nominal flow velocity under the physical stimulation mechanical vibration; The lymphatic flow cognitive regression analysis is performed on the cognitive level of the brain electrical neural activity based on the corresponding lymphatic fluid nominal flow velocity under the physical stimulation mechanical vibration and the multi-layer perceptron, to obtain the correlation mapping relationship between the lymphatic fluid flow velocity and the brain electrical cognitive level; and the stimulation frequency driving adjustment is performed on the physical stimulation ultrasonic wave corresponding to the low-frequency pulse electromagnetic equipment based on the correlation mapping relationship between the lymphatic fluid flow velocity and the brain electrical cognitive level, to generate the physical stimulation frequency driving adjustment scheme corresponding to the lymphatic flow cognitive improvement; wherein the following functions are included: The brain electrical cognitive change mining analysis is performed on the cognitive level of the brain electrical neural activity based on the corresponding lymphatic fluid nominal flow velocity under the physical stimulation mechanical vibration, to obtain the characteristic changes corresponding to the cognitive level of the brain electrical activity under different lymphatic fluid flow velocities, including the frequency distribution and the amplitude size; The linear regression fitting analysis is performed on the lymphatic fluid nominal flow velocity and the cognitive level of the brain electrical neural activity based on the characteristic changes corresponding to the cognitive level of the brain electrical activity under different lymphatic fluid flow velocities, to generate the linear regression fitting mathematical relationship between the lymphatic fluid flow velocity and the brain electrical cognitive level; The lymphatic flow cognitive mapping analysis is performed on the lymphatic fluid nominal flow velocity and the cognitive level of the brain electrical neural activity based on the linear regression fitting mathematical relationship between the lymphatic fluid flow velocity and the brain electrical cognitive level and the multi-layer perceptron, to obtain the correlation mapping relationship between the lymphatic fluid flow velocity and the brain electrical cognitive level; The stimulation frequency driving adjustment is performed on the physical stimulation ultrasonic wave corresponding to the low-frequency pulse electromagnetic equipment based on the correlation mapping relationship between the lymphatic fluid flow velocity and the brain electrical cognitive level, to generate the physical stimulation frequency driving adjustment scheme corresponding to the lymphatic flow cognitive improvement; wherein the physical stimulation frequency driving adjustment scheme corresponding to the lymphatic flow cognitive improvement is specifically that when the cognitive level of the brain electrical activity is slowly improved under the corresponding lymphatic fluid flow velocity, the stimulation intensity and the stimulation time length of the specific stimulation frequency are increased according to the stimulation frequency change mode of the physical stimulation ultrasonic wave corresponding to the lymphatic fluid flow velocity, to promote the lymphatic fluid flow velocity and further improve the cognitive level of the brain electrical activity; and when the cognitive level of the brain electrical activity is too fast under the corresponding lymphatic fluid flow velocity, the stimulation intensity and the stimulation time length of the specific stimulation frequency are reduced according to the stimulation frequency change mode of the physical stimulation ultrasonic wave corresponding to the lymphatic fluid flow velocity, to slow down the lymphatic fluid flow velocity and further reduce the cognitive level of the brain electrical activity.

2. The physical stimulus driven lymphatic flow and cognition enhancement system of claim 1, wherein, The corresponding electroencephalogram activity sub-signals in the different scale frequency bands specifically include 0-4 Hz delta wave, 4-8 Hz theta wave, 8-13 Hz alpha wave, 13-30 Hz beta wave, and above 30 Hz gamma wave corresponding electroencephalogram activity sub-signals.

3. A physical stimulation driven lymphatic flow circulation and cognitive enhancement method, characterized in that, The physical stimulation driven lymphatic flow and cognitive improvement system is used for executing the physical stimulation driven lymphatic flow and cognitive improvement method, and the physical stimulation driven lymphatic flow and cognitive improvement method comprises: The pressure sensor and the temperature sensor are used to monitor the physical stimulation pressure and the skin surface temperature in real time during the physical stimulation driving process generated by the low-frequency pulse electromagnetic equipment, and the influence of the stimulation frequency of the corresponding physical stimulation ultrasonic wave of the low-frequency pulse electromagnetic equipment is evaluated based on the physical stimulation pressure and the skin surface temperature, so as to obtain the pressure influence factor and the temperature influence factor corresponding to the stimulation frequency of the ultrasonic wave; Based on the pressure influence factor and the temperature influence factor corresponding to the stimulation frequency of the ultrasonic wave, the mechanical vibration analysis of the corresponding physical stimulation ultrasonic wave of the low-frequency pulse electromagnetic equipment is carried out, so as to generate the physical stimulation mechanical vibration effect; The lymphatic flow velocity and the electroencephalogram neural activity signal are obtained, and the neural cognitive level analysis of the electroencephalogram neural activity signal is carried out, so as to obtain the electroencephalogram neural activity cognitive level; the vibration response calibration of the lymphatic flow velocity is carried out based on the physical stimulation mechanical vibration effect, so as to generate the corresponding lymphatic flow nuclear flow velocity under the physical stimulation mechanical vibration; Based on the corresponding lymphatic flow nuclear flow velocity under the physical stimulation mechanical vibration and combined with the multilayer perceptron, the lymphatic flow cognitive regression analysis of the electroencephalogram neural activity cognitive level is carried out, so as to obtain the correlation mapping relationship between the lymphatic flow velocity and the electroencephalogram cognitive level; based on the correlation mapping relationship between the lymphatic flow velocity and the electroencephalogram cognitive level, the stimulation frequency driving adjustment of the corresponding physical stimulation ultrasonic wave of the low-frequency pulse electromagnetic equipment is carried out, so as to generate the physical stimulation frequency driving adjustment scheme corresponding to the lymphatic flow cognitive improvement.

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