A dynamic acupoint regulation system combining electrical stimulation and ultrasound

Abstract

This invention relates to the field of biomedical parameter regulation technology, specifically to a dynamic acupoint regulation system that combines electrical stimulation and ultrasound. The data acquisition module collects temporal data of vital signs and blood circulation levels before and after each acupuncture session, as well as operational parameters (electrical stimulation and ultrasound intensity) and acupoint combinations. The vital sign contribution analysis module compares the fluctuations of vital sign parameters before and after acupuncture, and, combined with correlation analysis of changes in blood circulation levels, quantifies the contribution of each vital sign parameter to the therapeutic effect. The operational intensity analysis module, under the same acupoint combination, analyzes the correlation between the effect feedback of operational parameters and vital sign parameters during historical acupuncture sessions, determines the parameter intensity weights, and clarifies the response degree of electrical stimulation and ultrasound under different acupoint combinations. The dynamic regulation module integrates current vital sign data, blood circulation status, contribution, and intensity weights to automatically adjust the preset intensities of electrical stimulation and ultrasound to adapt to differences in patient condition and dynamic changes in vital signs and blood circulation during the treatment process.

Description

Technical Field

[0001] This invention relates to the field of biomedical parameter regulation technology, specifically to a dynamic acupoint regulation system that combines electrical stimulation and ultrasound. Background Technology

[0002] Acupuncture, a traditional Chinese medicine therapy, regulates Qi and blood and balances Yin and Yang by stimulating specific acupoints, and has been widely used in pain management and chronic disease treatment. With technological advancements, electrostimulation and ultrasound technologies are gradually being combined with acupuncture. These technologies enhance the stimulation effect of acupoints through physical energy. Electrostimulation introduces controllable currents into acupoints through electrode pads, regulating nerve excitability and muscle contraction, and playing a tonifying role in the diagnosis of Qi and blood deficiency in traditional Chinese medicine. Ultrasound, on the other hand, uses high-frequency mechanical waves to generate thermal effects and micro-vibrations, promoting deep tissue blood circulation, thus forming new treatment methods such as "electroacupuncture" and "ultrasound acupuncture."

[0003] Incorporating electrical stimulation and ultrasound therapy into acupuncture can enhance its therapeutic effect to some extent. Common synergistic acupuncture and physiotherapy processes usually rely on the doctor's experience and the patient's subjective pain perception to set the intensity of electrical stimulation and ultrasound. However, since the patient's physical signs and blood and qi status change dynamically with the treatment process, if the intensity of electrical stimulation and ultrasound is adjusted solely based on the doctor's experience and the patient's pain feedback during each acupuncture session, it is easy to cause problems of "overstimulation" or "insufficient effect," making it difficult to achieve precise individualized control. Summary of the Invention

[0004] To address the issue that patients' physical signs and blood circulation status dynamically change during treatment, relying solely on the doctor's experience and the patient's pain feedback to adjust the intensity of electrical stimulation and ultrasound during each acupuncture session can easily lead to "overstimulation" or "insufficient effect," making precise individualized control difficult. The present invention aims to provide a dynamic acupoint control system that combines electrical stimulation and ultrasound. The specific technical solution adopted is as follows:

[0005] This invention proposes a dynamic acupoint regulation system that combines electrical stimulation and ultrasound, the system comprising:

[0006] The data acquisition module is used to acquire time-series data of various vital signs and Qi and blood levels of patients before and after each acupuncture session; and to acquire the acupoint combination and operation parameters for each acupuncture session, including electrical stimulation intensity and ultrasound intensity.

[0007] The vital sign contribution analysis module is used to compare the fluctuations of time series data of each vital sign parameter before and after any historical acupuncture for any given acupuncture session, obtain the feedback time series data of each vital sign parameter after acupuncture, and perform correlation analysis with the time series data of Qi and blood levels to obtain the contribution of each vital sign parameter.

[0008] The operation intensity analysis module is used to analyze the correlation of feedback time series data of each operation parameter and each vital sign parameter during historical acupuncture under the same acupoint combination, and to determine the intensity weight of each operation parameter under each acupoint combination by combining numerical characteristics.

[0009] The dynamic control module is used to adaptively control the preset intensity of each operation parameter under each acupuncture point combination under the current acupuncture condition by integrating time-series data of various physical signs and parameters before acupuncture, time-series data of Qi and blood levels, contribution degree of corresponding physical signs and parameters, and intensity weight of each operation parameter under each acupuncture point combination.

[0010] Furthermore, the method for acquiring the feedback time-series data includes:

[0011] In each historical acupuncture session, the fluctuation characteristics of the time-series data of each vital sign parameter before and after acupuncture are compared to determine the effect reference weight of each vital sign parameter at each time point after acupuncture.

[0012] In each historical acupuncture session, for any given physical sign parameter, the difference in the value of that physical sign parameter before and after acupuncture is analyzed, and the feedback factor of that physical sign parameter at each time point after acupuncture is determined.

[0013] The product of the feedback factor and the effect reference weight at each time step in the time series data after acupuncture for this type of vital sign parameter is used as the feedback value at each time step.

[0014] The feedback values ​​of each vital sign parameter after each acupuncture session are arranged in chronological order at all times, thus obtaining the chronological data of the feedback of each vital sign parameter after each acupuncture session.

[0015] Furthermore, the method for obtaining the effect reference weights includes:

[0016] In each historical acupuncture session, the time-series data of each vital sign parameter before and after acupuncture were periodically divided according to the same time interval to obtain data segments;

[0017] In the time series data of each vital sign parameter before and after acupuncture, the values ​​at the same time number in all data segments are arranged into a sequence according to time sequence. The sequence before acupuncture is taken as the front subsequence, the sequence after acupuncture is taken as the back subsequence, and the front subsequence and back subsequence with the same time number of the value are combined as subsequences.

[0018] In each subsequence combination corresponding to each vital sign parameter, the sum of the absolute values ​​of all values ​​in the first-order difference sequence corresponding to the previous subsequence is taken as the previous change amplitude value, the sum of the absolute values ​​of all values ​​in the first-order difference sequence corresponding to the subsequent subsequence is taken as the subsequent change amplitude value, and the absolute value of the difference between the previous change amplitude value and the subsequent change amplitude value is taken as the change difference degree.

[0019] In each subsequence combination, the variance of all values ​​in the subsequent subsequence is negatively correlated and mapped to a value, which is then used as a stationarity factor. The product of the stationarity factor and the corresponding degree of variation is normalized and used as the effect reference weight of the time corresponding to the value in each subsequence combination.

[0020] Furthermore, the method for obtaining the feedback factor includes:

[0021] In each historical acupuncture process, for any vital sign parameter, the difference between the value at the last moment in the time series data before acupuncture and the value at each moment in the time series data after acupuncture is used as the feedback factor at each moment in the time series data after acupuncture.

[0022] Furthermore, the method for obtaining the contribution level includes:

[0023] For any historical acupuncture session, the normalized Pearson correlation coefficient between the feedback time series data of each vital sign parameter and the time series data of Qi and blood levels after acupuncture is used as the contribution factor for each vital sign parameter.

[0024] In this historical acupuncture treatment, the proportion of the contribution factor of each vital sign parameter in the total contribution factors and values ​​of all vital sign parameters is used as the contribution weight of each vital sign parameter.

[0025] The average contribution weight of each vital sign parameter across all historical acupuncture treatments is used as the contribution degree of each vital sign parameter.

[0026] Furthermore, the method for obtaining the intensity weight includes:

[0027] The feedback time series data of each vital sign parameter after each historical acupuncture session is used as the feedback time series data of the vital sign parameters before the next acupuncture session.

[0028] In all historical acupuncture cases, the numerical differences in the feedback time series data of vital signs parameters before and after acupuncture were analyzed to determine the improvement weight corresponding to each combination of acupoints.

[0029] In all historical acupuncture sessions corresponding to each acupoint combination, the correlation between the feedback time series data of operational parameters and vital sign parameters is analyzed to obtain the intensity factor of each operational parameter under each acupoint combination.

[0030] The normalized value of the product of the improvement weight corresponding to each acupoint combination and the intensity factor of each operation parameter under each acupoint combination is used as the intensity weight of each operation parameter under each acupoint combination.

[0031] Furthermore, the method for obtaining the improved weights includes:

[0032] For each combination of acupoints, the absolute value of the difference between the mean of all values ​​in the feedback time series data of each physical sign parameter after each acupuncture and the mean of all values ​​in the feedback time series data before acupuncture is used as the improvement factor for each physical sign parameter. The sum of the improvement factors of all physical sign parameters is normalized and used as the improvement feature value for each acupuncture.

[0033] The sum of the improvement characteristic values ​​of all acupuncture sessions for each acupoint combination is used as the improvement index for each acupoint combination. The proportion of the improvement index of each acupoint combination in the sum of the improvement indices of all acupoint combinations is used as the improvement weight for each acupoint combination.

[0034] Furthermore, the method for obtaining the intensity factor includes:

[0035] In all the acupuncture sessions corresponding to each acupoint combination, each operation parameter of all acupuncture sessions is arranged in chronological order to obtain the operation parameter sequence. The mean of all values ​​in the feedback time series data corresponding to each symptom parameter of all acupuncture sessions is arranged in chronological order to obtain the feedback parameter sequence.

[0036] The absolute value of the Pearson correlation coefficient between the sequence of operational parameters corresponding to each acupoint combination and the sequence of feedback parameters of each vital sign parameter is used as the sensitivity of each vital sign parameter to each operational parameter under each acupoint combination.

[0037] For each acupoint combination, the sum of the sensitivities of all vital signs to each operational parameter is normalized and used as the intensity factor for each operational parameter under each acupoint combination.

[0038] Furthermore, the adaptive adjustment of the preset intensity of each operation parameter under each acupoint combination in the current acupuncture treatment includes:

[0039] By utilizing the contribution of each vital sign parameter, the data values ​​of various vital sign parameters in the time series data before the current acupuncture are weighted, and combined with the numerical characteristics of the time series data of Qi and blood levels, the Qi and blood index under the current acupuncture is determined.

[0040] The difference between the current Qi and Blood Index under acupuncture and the preset Qi and Blood Index is multiplied by the intensity weight of each operation parameter under each acupoint combination, and used as the adjustment weight of each operation parameter under each acupoint combination.

[0041] For each acupoint combination, the sum of the adjustment weight of each operation parameter and the preset constant is used as the adjustment degree value. The value obtained by multiplying the adjustment degree value of each operation parameter by the preset intensity of each operation parameter is used as the adaptive intensity value of each operation parameter for each acupoint combination under the current acupuncture.

[0042] Furthermore, the method for obtaining the Qi and Blood Index includes:

[0043] Under the current acupuncture treatment, the mean value of all values ​​in the time series data of each vital sign parameter is negatively correlated and mapped to the value, which is used as the representativeness of each vital sign parameter.

[0044] The product of the contribution and the representativeness of each vital sign parameter is used as the Qi and Blood factor of each vital sign parameter under the current acupuncture.

[0045] Calculate the sum of the Qi and Blood factors of all vital signs under the current acupuncture and the mean of all values ​​in the time series data of Qi and Blood levels under the current acupuncture, and normalize the obtained sum as the Qi and Blood index under the current acupuncture.

[0046] The present invention has the following beneficial effects:

[0047] The data acquisition module obtained time-series data of vital signs and blood levels before and after each acupuncture session, as well as the acupoint combinations and operational parameters (electrical stimulation intensity, ultrasound intensity) during each acupuncture session, providing a complete and continuous individualized data foundation for subsequent analysis. Because different patients have different physical conditions, which are influenced by factors such as diet and lifestyle, vital signs fluctuate during each acupuncture session, and the feedback effects also vary. Therefore, the vital sign contribution analysis module compares the differences in fluctuations of vital signs before and after acupuncture to obtain feedback time-series data for each vital sign parameter. This data is used to characterize the feedback effect of the vital signs parameter after each acupuncture session. Then, correlation analysis is performed between the feedback time-series data and changes in blood levels to quantify the contribution of each vital sign parameter to the treatment effect. Since the selection of acupoints directly affects the regulation of Qi and blood during acupuncture, and the selection of acupoints can represent the treatment plan, acupoint selection is incorporated into a quantitative model. In the operation intensity analysis module, under the same acupoint combination, the correlation between the feedback of operation parameters (electrical stimulation and ultrasound intensity) and vital sign parameters during historical acupuncture is analyzed. The intensity weight of each operation parameter is determined by combining numerical characteristics, clarifying the response degree of "electrical stimulation + ultrasound" under different acupoint combinations. Finally, in the dynamic control module, the patient's vital sign data, Qi and blood status, contribution of vital sign parameters, and intensity weight of operation parameters under current acupuncture are integrated to automatically adjust the preset intensity of electrical stimulation and ultrasound. This allows the adjusted intensity to better adapt to individual differences and dynamic changes in the patient's vital signs and Qi and blood during the treatment process, achieving "individualized dynamic adjustment" and effectively improving the accuracy of operation parameter control during acupuncture with synergistic electrical stimulation and ultrasound. Attached Figure Description

[0048] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0049] Figure 1 This is a system block diagram of an acupoint dynamic regulation system that combines electrical stimulation and ultrasound, provided in one embodiment of the present invention.

[0050] Figure 2 This is a flowchart of a method for acquiring feedback time series data according to an embodiment of the present invention;

[0051] Figure 3 This is a flowchart of a method for obtaining intensity weights according to an embodiment of the present invention;

[0052] Figure 4This is a schematic diagram of the system structure of a dynamic acupoint regulation system that combines electrical stimulation and ultrasound, according to an embodiment of the present invention. Detailed Implementation

[0053] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of an acupoint dynamic regulation system synergistically combining electrical stimulation and ultrasound proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0054] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0055] The following description, in conjunction with the accompanying drawings, details the specific scheme of the acupoint dynamic regulation system that combines electrical stimulation and ultrasound provided by this invention.

[0056] Please see Figure 1 The diagram shows a system block diagram of an acupoint dynamic regulation system that combines electrical stimulation and ultrasound according to an embodiment of the present invention. The system includes: a data acquisition module 101, a vital sign contribution analysis module 102, an operation intensity analysis module 103, and a dynamic regulation module 104.

[0057] The data acquisition module 101 is used to acquire time-series data of various vital signs and blood levels of the patient before and after each acupuncture session; and to acquire the acupoint combination and operation parameters for each acupuncture session, including the intensity of electrical stimulation and the intensity of ultrasound.

[0058] Incorporating electrical stimulation and ultrasound therapy into acupuncture can enhance its therapeutic effect to some extent. The energy generated by ultrasound can enhance the thermal effect, and combined with electrical stimulation, it can further improve local blood circulation and inhibit pain transmission. According to prior knowledge, the balance of Qi and blood described in traditional Chinese medicine reflects the state of disease in modern medicine as energy metabolism, neural regulation, and the homeostasis of the blood and circulatory system. In other words, the patient's actual physical condition can be represented to some extent by the collected data, namely, by the patient's physical parameters and Qi and blood level data before and after each acupuncture session. Therefore, in the data acquisition module of this invention embodiment, the patient's various physical parameters and Qi and blood level time-series data are acquired before and after each acupuncture session. Among them, the physical parameters in this embodiment of the invention include: local tissue impedance, which can be achieved by using a smart body fat scale to fix the electrode position for specific body parts (such as the knee joint) of the patient, and using marking stickers to ensure that the measurement position is consistent each time. Standardized preparations were performed before measurement, including short-term fasting and water restriction, and skin cleaning, to stabilize impedance values. The collected impedance values ​​were standardized to [0,1]. Impedance values ​​reflect the state of tissue edema; the smaller the value, the less edema is indicated, and the shorter the oxygen diffusion distance between capillaries and tissues, resulting in smoother blood circulation. The value is negatively correlated with treatment effectiveness. Heart rate variability (HRV) was measured using a medical-certified wristband while the patient was seated. HRV indices were recorded via a mobile application, automatically excluding periods of movement or talking. HRV reflects autonomic nervous system balance; a higher value indicates recovery of autonomic nervous system function. The value is positively correlated with the patient's treatment effectiveness. To maintain consistency, HRV values ​​were negatively correlated and normalized to ensure that the relationship between HRV and treatment effectiveness was consistent with local tissue impedance. This negative correlation mapping and normalization can be performed using the formula... ,in, Let x represent an exponential function with the natural constant e as the base, and let x represent the independent variable.

[0059] Based on prior knowledge, from the perspective of traditional Chinese medicine, the characteristics of a patient's tongue coating can reflect the patient's physical condition. Therefore, we obtain images of the patient's tongue coating before and after each acupuncture session and use these images as input to a pre-trained neural network to output a value of Qi and blood level. The value ranges from [0,1]. The larger the value, the more vigorous the patient's Qi and blood are from the perspective of traditional Chinese medicine, and vice versa.

[0060] In this embodiment of the invention, the time-series data of vital signs and the time-series data of Qi and blood levels are set to 10 days, that is, 10 days before and 10 days after each acupuncture treatment. The data collection time points are fixed, set at 7:00 AM, 12:00 PM, 6:00 PM, and 11:00 PM every day (the selection of time points is based on the theory of meridian flow: 7:00 AM: the morning metabolic start period, which can reflect the state of Qi and blood accumulation at night; 12:00 PM: the peak period of Qi and blood in a day, which can assess the excessive heart fire or Qi deficiency; 6:00 PM: the energy storage period of day and night alternation, the kidney governs water metabolism; 11:00 PM: the basic repair period of the initial generation of Yang Qi, excluding interference from daytime activities). That is, at each time point, there will be two values ​​of vital signs and one value of Qi and blood levels. After arranging them in time sequence, the time-series data of two vital signs and one value of Qi and blood levels before and after each acupuncture treatment can be obtained.

[0061] At the same time, it is also necessary to obtain the combination of acupoints and operation parameters (including electrical stimulation intensity and ultrasound intensity) for each acupuncture session, which can reflect the specific treatment plan for each acupuncture session.

[0062] It should be noted that, in this embodiment of the present invention, the length of the time series data and the sampling time can be adjusted according to the implementation scenario, and are not limited here; the training process of the neural network is a well-known technology, and the specific process will not be described in detail here.

[0063] In this embodiment of the invention, the collection and acquisition of patients' personal information data are all authorized by the relevant users, and the process does not violate relevant laws and regulations, nor does it violate public order and good morals.

[0064] The vital sign contribution analysis module 102 is used to compare the fluctuation differences of time series data of each vital sign parameter before and after any historical acupuncture, obtain the feedback time series data of each vital sign parameter after acupuncture, and perform correlation analysis with the time series data of Qi and blood level to obtain the contribution of each vital sign parameter.

[0065] In Traditional Chinese Medicine (TCM), Qi and Blood represent a comprehensive state; a single indicator cannot represent the whole. It is essential to integrate data from multiple sources. Since individual patients have different physical conditions, even at the same point in time, their physical state is influenced by factors such as diet and lifestyle, resulting in fluctuations in different types of vital signs and parameters. Therefore, by comparing the differences in fluctuations of vital signs and parameters before and after acupuncture, the "response degree" of each vital sign and parameter to acupuncture intervention is quantified. This yields the feedback time-series data for each vital sign and parameter after acupuncture. Then, correlation analysis is performed between this feedback time-series data and the time-series data of Qi and Blood levels to objectively quantify the contribution of each vital sign and parameter to the Qi and Blood state, such as which vital sign and parameter better reflects Qi deficiency. This module directly reflects the contribution of vital signs and parameters to the characterization of treatment effects during each acupuncture session.

[0066] First, for any acupuncture session (historical acupuncture sessions, excluding the current acupuncture session), compare the fluctuations and changes in the time series data of each vital sign parameter before and after acupuncture to obtain the feedback time series data of each vital sign parameter after acupuncture.

[0067] Preferably, in one embodiment of the present invention, the method for acquiring feedback time-series data includes:

[0068] Please see Figure 2 The diagram illustrates a method flowchart for acquiring feedback time-series data according to an embodiment of the present invention. The method includes the following steps:

[0069] Step S201: During each historical acupuncture session, compare the fluctuation characteristics of the time-series data of each vital sign parameter before and after acupuncture, and determine the reference weight of the effect of each vital sign parameter at each time point after acupuncture.

[0070] When a certain physical sign parameter fluctuates significantly before and after treatment, the reference weight of that physical sign data will be lower when judging the treatment effect of any treatment process. Therefore, in this sub-step, we mainly compare the fluctuation characteristics of the values ​​of each physical sign parameter in the time series data before and after acupuncture.

[0071] To ensure that comparisons before and after acupuncture are based on the same time point (e.g., comparing data before and after acupuncture at 7:00 AM) and to avoid misjudgments caused by time discrepancies (e.g., directly comparing morning and evening data is meaningless), the following steps are taken: First, in each historical acupuncture session, the time-series data of each vital sign parameter before and after acupuncture are periodically divided at the same time interval to obtain data segments. In this embodiment of the invention, the periodic division can be based on days (because the time-series data length in the data acquisition module is 10 days). In this case, each data segment contains data at four time points.

[0072] In the time-series data of each vital sign parameter before and after acupuncture, the values ​​at the same time number in all data segments (in this embodiment, the values ​​at the same time point, such as 7:00 AM) are arranged into sequences according to time sequence. The sequence before acupuncture is taken as the "previous subsequence," and the sequence after acupuncture is taken as the "subsequence." Subsequences with the same time number are combined into subsequences (e.g., the "previous subsequence" and "subsequence" corresponding to 7:00 AM). Time alignment is achieved through the division of data segments and the combination of subsequences.

[0073] Then, in each subsequence combination corresponding to each vital sign parameter, the sum of the absolute values ​​of all values ​​in the first-order difference sequence corresponding to the preceding subsequence is taken as the preceding variation amplitude value. The preceding variation amplitude value reflects the inherent fluctuation degree of the vital sign parameter before acupuncture; the larger the value, the greater the fluctuation. Similarly, the sum of the absolute values ​​of all values ​​in the first-order difference sequence corresponding to the following subsequence is taken as the following variation amplitude value. The following variation amplitude value reflects the fluctuation degree of the vital sign parameter after acupuncture; the larger the value, the greater the fluctuation. The absolute value of the difference between the preceding variation amplitude value and the following variation amplitude value is taken as the degree of variation difference. The smaller the absolute value of the difference, the smaller the degree of variation difference, which means that the consistency of the degree of variation is higher and the synchronicity is better. In this case, the treatment effect is less obvious and the reference value of the vital sign parameter is lower.

[0074] In each subsequence combination, the variance of all values ​​in the subsequent subsequence is calculated. The larger the variance, the more significant the fluctuation of the vital signs parameters after treatment, and the lower the reference value for characterizing the treatment effect. Therefore, the fluctuation factor of the subsequent subsequence in each subsequence combination is negatively correlated to correct the logical relationship and obtain the stationarity factor. At this time, the larger the stationarity factor, the greater the reference value of the vital signs parameters.

[0075] Finally, the stationarity factor is multiplied by the degree of variation corresponding to the subsequence combination. Based on the previous analysis, the larger the product, the greater the reference value. Therefore, the product is normalized and used as the effect reference weight for the time (e.g., 7 AM) corresponding to the value in each subsequence combination. Normalization is a technique well-known to those skilled in the art. The choice of normalization function can be linear normalization or standard normalization, etc., and the specific normalization method is not limited here.

[0076] Step S202: During each historical acupuncture session, for any given physical sign parameter, analyze the difference in value between the physical sign parameter before and after acupuncture, and determine the feedback factor of the physical sign parameter at each time point after acupuncture.

[0077] Based on the data acquisition module, it is known that in this embodiment of the invention, the values ​​of all vital signs parameters are negatively correlated with the treatment effect. That is, the smaller the value, the better the patient's condition. Therefore, in each historical acupuncture process, for any vital sign parameter, the difference between the value at the last moment in the time series data before acupuncture and the value at each moment in the time series data after acupuncture is used as the feedback factor at each moment in the time series data after acupuncture. The larger the feedback factor, the smaller the value of the vital sign parameter after acupuncture compared to the value of the vital sign parameter before acupuncture, and the better the treatment effect.

[0078] Thus, we can obtain the feedback factor at each moment in the time-series data of each vital sign parameter after acupuncture during each historical acupuncture process.

[0079] Step S203: During each historical acupuncture session, the feedback factor and effect reference weight of each vital sign parameter at each moment in the time series data after acupuncture are integrated to obtain the feedback time series data of each vital sign parameter.

[0080] The feedback factor can be regarded as the quantity of change, and the effect reference weight can be regarded as the quality of the change (effect). Therefore, the feedback factor and the effect reference weight at each time point in the time series data after acupuncture are multiplied to obtain the feedback value at each time point. The feedback value takes into account both the magnitude and reliability of the effect, so the data will be more accurate. The larger the feedback value, the better the treatment effect.

[0081] Finally, the feedback values ​​of each vital sign parameter after each acupuncture session at all times are arranged in chronological order to obtain the chronological feedback data of each vital sign parameter after each acupuncture session.

[0082] Based on the aforementioned process, feedback time-series data of each physical sign parameter after acupuncture in each historical acupuncture process can be obtained. The feedback time-series data reflects the therapeutic effect shown by each physical sign parameter in the historical acupuncture process. Given that the time-series data of Qi and blood level in the embodiments of the present invention can more intuitively reflect the patient's Qi and blood status, the correlation analysis can be performed between the feedback time-series data of each physical sign parameter after each acupuncture and the time-series data of Qi and blood level, so as to more accurately determine the contribution of each physical sign parameter to the acupuncture treatment process.

[0083] Preferably, in one embodiment of the present invention, the method for obtaining contribution includes:

[0084] For any given historical acupuncture session, the Pearson correlation coefficient is calculated between the feedback time-series data of each vital sign parameter and the post-acupuncture Qi and Blood level time-series data. Based on the data acquisition module, it is known that the higher the Qi and Blood level value, the better the patient's Qi and Blood status; while the higher the feedback value of the vital sign parameter, the better the treatment effect represented by the vital sign parameter. Therefore, the closer the Pearson correlation coefficient is to 1, the more positively correlated the changes in the feedback time-series data of the vital sign parameter and the Qi and Blood level time-series data are, and the greater the contribution of the vital sign parameter to the characterization of the treatment effect. Therefore, the normalized value of the Pearson correlation coefficient is used as the contribution factor for each vital sign parameter. Since the Pearson correlation coefficient can be positive or negative, the normalization here adopts... function.

[0085] Finally, under this historical acupuncture, the ratio of the contribution factor of each physical sign parameter to the sum of the contribution factors of all physical sign parameters is taken as the contribution weight of each physical sign parameter, and the average of the contribution weights of each physical sign parameter under all historical acupuncture is taken as the contribution degree of each physical sign parameter. The greater the contribution degree, the higher the contribution value of the physical sign parameter in characterizing the acupuncture effect after acupuncture.

[0086] The operation intensity analysis module 103 is used to analyze the correlation of feedback time series data of each operation parameter and each vital sign parameter during historical acupuncture under the same acupoint combination, and to determine the intensity weight of each operation parameter under each acupoint combination by combining numerical characteristics.

[0087] Based on prior knowledge, Traditional Chinese Medicine (TCM) emphasizes "treatment based on syndrome differentiation," where disease type and acupoint selection directly affect the regulation of Qi and blood. In modern medicine, different diseases and acupoint selections exhibit varying sensitivities to electrical stimulation or ultrasound. For example, arthritis is more sensitive to ultrasound, while neuralgia is more sensitive to electrical stimulation. Therefore, this module requires classifying all acupuncture sessions using the acupoint combinations used each time. Under the same acupoint combinations, it analyzes the correlation between the feedback time-series data of each operational parameter and each vital sign parameter during historical acupuncture sessions. Combining this with numerical characteristics, it determines the intensity weight of each operational parameter under each acupoint combination, which is used to characterize the sensitivity and the intensity feedback of the acupoint combination to each operational parameter.

[0088] Preferably, in one embodiment of the present invention, the method for obtaining the intensity weight includes:

[0089] Please see Figure 3 The diagram illustrates a method flowchart for obtaining intensity weights according to an embodiment of the present invention, which includes the following steps:

[0090] Step S301: Use the feedback time series data of each vital sign parameter after each historical acupuncture as the feedback time series data of the vital sign parameter before the next acupuncture. Under all historical acupuncture, analyze the numerical difference characteristics of the feedback time series data of vital sign parameters before and after acupuncture, so as to determine the improvement weight corresponding to each acupoint combination.

[0091] The larger the feedback value in the feedback time series data for each vital sign parameter after each acupuncture session, the better the improvement represented by the vital sign parameter. Therefore, for each acupuncture point combination corresponding to the historical number of acupuncture sessions, the absolute value of the difference between the mean of all values ​​in the feedback time series data for each vital sign parameter after each acupuncture session and the mean of all values ​​in the feedback time series data before acupuncture is used as the improvement factor for each vital sign parameter. The larger the improvement factor, the better the degree of improvement in the patient's condition after acupuncture. The sum of the improvement factors of all vital sign parameters is normalized and used as the improvement characteristic value corresponding to each acupuncture session. The normalization method here adopts... The larger the improvement eigenvalue, the better the treatment feedback under this acupuncture.

[0092] Then, the sum of the improvement characteristic values ​​of all historical acupuncture sessions under each acupoint combination is used as the improvement index corresponding to each acupoint combination. The proportion of the improvement index of each acupoint combination in the sum of the improvement indices of all acupoint combinations is used as the improvement weight corresponding to each acupoint combination. The larger the improvement weight, the better the overall therapeutic effect of the physical signs parameters after acupuncture under that acupoint combination.

[0093] Step S302: Analyze the correlation between the feedback time series data of the operation parameters and the vital signs parameters in all historical acupuncture sessions corresponding to each acupoint combination, so as to obtain the intensity factor of each operation parameter under each acupoint combination.

[0094] Different combinations of acupoints result in different responses and sensitivities to the intensity of acupuncture operation parameters. Therefore, in all historical acupuncture sessions corresponding to each acupoint combination, each operation parameter of all acupuncture sessions is arranged in chronological order to obtain the operation parameter sequence. The mean of all values ​​in the feedback time series data corresponding to each vital sign parameter of all acupuncture sessions is arranged in chronological order to obtain the feedback parameter sequence.

[0095] Then, the absolute value of the Pearson correlation coefficient between the sequence of operational parameters corresponding to each acupoint combination and the sequence of feedback parameters for each vital sign parameter is calculated. The larger the absolute value, the more easily the change in the sequence of operational parameters will cause the change in the feedback value of the vital sign parameter. Therefore, the correlation between the two is higher, which can be regarded as the higher sensitivity of the vital sign parameter to the change of the operational parameters. Therefore, the absolute value of the Pearson correlation coefficient is taken as the sensitivity of each vital sign parameter to each operational parameter under each acupoint combination.

[0096] Finally, for each acupoint combination, the sum of the sensitivities of all vital signs to each operational parameter was normalized and used as the intensity factor for each operational parameter under each acupoint combination. Based on the foregoing analysis, a larger intensity factor indicates that the vital signs are more sensitive to the operational parameter under that acupoint combination, and the response changes are more significant. Normalization is a technique well-known to those skilled in the art, and the normalization function can be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0097] Step S303: Combine the improvement weight corresponding to each acupoint combination with the intensity factor of each operation parameter under each acupoint combination to obtain the intensity weight of each operation parameter under each acupoint combination.

[0098] The normalized value of the product of the improvement weight corresponding to each acupoint combination and the intensity factor of each operational parameter under each acupoint combination is used as the intensity weight of each operational parameter under each acupoint combination. The intensity weight combines the treatment improvement characteristics represented by the physical signs under the acupoint combination and the sensitivity of the physical signs to the operational parameters under the acupoint combination. The larger the intensity weight, the stronger the dominant role of the operational parameters in the treatment process under that acupoint combination. Normalization is a technique well known to those skilled in the art. The choice of normalization function can be linear normalization or standard normalization, etc., and the specific normalization method is not limited here.

[0099] Thus, in this module, the intensity weight of each operation parameter under each acupoint combination can be obtained.

[0100] The dynamic control module 104 is used to adaptively control the preset intensity of each operation parameter under each acupuncture point combination under the current acupuncture by integrating the time-series data of various physical signs parameters before acupuncture, the time-series data of Qi and blood levels, the contribution degree of the corresponding physical signs parameters, and the intensity weight of each operation parameter under each acupuncture point combination.

[0101] Traditional Chinese medicine (TCM) follows the principle of "tonifying deficiency and purging excess," meaning that when qi and blood are deficient, stimulation should be increased to "tonify qi," while when qi and blood are abundant, stimulation should be reduced to avoid over-stimulation. Electrical stimulation mainly introduces controllable current into acupoints through electrode pads, acting on superficial tissues (nerves and muscles), altering ion channel permeability, regulating nerve excitability, and inducing regular muscle fiber contractions. From a TCM perspective, this can target qi and blood deficiency. On the other hand, ultrasound emits high-frequency mechanical vibration waves through a sound wave transducer, mainly targeting deep tissues (fascia, joints, and cells). The sound wave vibration generates micro-massage, loosening adhesions, generating heat through tissue friction, promoting blood circulation, and the rupture of microbubbles enhances cell membrane permeability. From a TCM perspective, this can clear internal swelling and blockages. Therefore, in this module, under the current number of acupuncture sessions, by integrating the time-series data of various physical signs and parameters before acupuncture, the time-series data of Qi and blood levels, and the contribution of the corresponding physical signs and parameters, a more comprehensive assessment of the patient's Qi and blood level under the current acupuncture can be made. Based on this assessment result, combined with the intensity weight of each operation parameter under each acupoint combination, the preset intensity of each operation parameter under the current acupuncture can be adaptively adjusted. At this time, each acupoint combination corresponds to a set of adaptive intensity of operation parameters, which can make the intensity of the operation parameters under the current acupuncture more adaptable to the patient's current Qi and blood status and the selected treatment plan, effectively avoiding the problems of "overstimulation" or "insufficient effect", and achieving precise individualized control.

[0102] Preferably, in one embodiment of the present invention, adaptive adjustment of the preset intensity of each operation parameter under each acupoint combination in the current acupuncture treatment includes:

[0103] By utilizing the contribution of each vital sign parameter, the data values ​​of various vital sign parameters in the time series data before the current acupuncture are weighted, and combined with the numerical characteristics of the Qi and Blood level time series data, the Qi and Blood Index under the current acupuncture is determined:

[0104] Under the current acupuncture treatment, the mean of all values ​​in the time-series data of each vital sign parameter is negatively correlated and mapped to the value as the representativeness of each vital sign parameter. The values ​​in the time-series data of the vital sign parameter are negatively correlated with the patient's treatment effect. Therefore, the smaller the mean of all values ​​in the time-series data of the vital sign parameter, the greater the representativeness, indicating that the patient's physiological state as represented by the vital sign parameters under the current number of acupuncture treatments is better. This negative correlation mapping can be achieved using the formula... ,in, Let x represent an exponential function with the natural constant e as the base, and let x represent the independent variable.

[0105] Since the greater the contribution of the physical signs parameter, the higher its contribution value in characterizing the acupuncture effect on the patient, the product of the contribution and characterization of each physical sign parameter is used as the Qi and Blood factor of each physical sign parameter under the current acupuncture. The greater the Qi and Blood factor, the better the patient's Qi and Blood level under the current acupuncture.

[0106] Because time-series data on Qi and blood levels can more intuitively reflect a patient's Qi and blood levels, the sum of the Qi and blood factors of all vital signs and parameters under the current acupuncture treatment and the mean of all values ​​in the time-series data of Qi and blood levels under the current acupuncture treatment is calculated. This sum is then normalized and used as the Qi and blood index under the current acupuncture treatment. This Qi and blood index can more comprehensively reflect the patient's Qi and blood status at the time of acupuncture treatment, and the larger the value, the better the Qi and blood level. Normalization is a technique well-known to those skilled in the art. The choice of normalization function can be linear normalization or standard normalization, etc., and the specific normalization method is not limited here.

[0107] Then, the difference between the current Qi and Blood Index under acupuncture and the preset Qi and Blood Index is calculated. The preset Qi and Blood Index can be regarded as the ideal Qi and Blood state. If the difference is positive, it means that the patient's Qi and Blood state is too high under the current number of acupuncture sessions, and the intensity of the operation parameters needs to be reduced to avoid overstimulation. Conversely, if the difference is negative, it means that the patient's Qi and Blood state is too low under the current number of acupuncture sessions, and the intensity of the operation parameters needs to be appropriately increased to enhance stimulation for "tonifying Qi". Therefore, this difference is multiplied by the intensity weight of each operation parameter under each acupoint combination, which is used as the adjustment weight of each operation parameter under each acupoint combination. If the adjustment weight is positive, it means that the operation parameter needs to be increased to supplement the patient's Qi and Blood level. If the adjustment weight is negative, it means that the operation parameter needs to be decreased to prevent overstimulation.

[0108] Finally, for each acupoint combination, the sum of the adjustment weight of each operation parameter and a preset constant is used as the adjustment degree value. In this embodiment, the preset constant is 1. When the adjustment weight is positive, it indicates that the operation parameter needs to be increased, so the adjustment degree value is greater than 1; when the adjustment weight is negative, it indicates that the operation parameter needs to be decreased, so the adjustment degree value is less than 1. The value obtained by multiplying the adjustment degree value of each operation parameter by the preset intensity of each operation parameter is used as the adaptive intensity value of each operation parameter under each acupoint combination in the current acupuncture. This can better adapt to individual differences and dynamic changes in the patient's signs and Qi and blood during the treatment process, and improve the accuracy of operation parameter control during acupuncture with electrostimulation and ultrasound synergy.

[0109] It should be noted that in this embodiment of the present invention, the preset blood and qi index is 0.5, the preset intensity of the electrical stimulation parameter is 5mA, and the preset intensity of the ultrasound is 0.5W / cm². The aforementioned values ​​can be adjusted according to the implementation scenario and are not limited here.

[0110] In summary, the data acquisition module obtained time-series data of vital signs and blood levels before and after each acupuncture session, as well as the acupoint combinations and operational parameters (electrical stimulation intensity, ultrasound intensity) during each acupuncture session, providing a complete and continuous individualized data foundation for subsequent analysis. Because different patients have different physical conditions, which are influenced by factors such as diet and lifestyle, vital signs fluctuate during each acupuncture session, and the feedback effects also vary. Therefore, the vital sign contribution analysis module compares the differences in fluctuations of vital signs before and after acupuncture to obtain feedback time-series data for each vital sign parameter. This data is used to characterize the feedback effect of the vital signs parameter after each acupuncture session. Then, correlation analysis is performed between the feedback time-series data and changes in blood levels to quantify the contribution of each vital sign parameter to the treatment effect. Since the selection of acupoints directly affects the regulation of Qi and blood during acupuncture, and the selection of acupoints can represent the treatment plan, acupoint selection is incorporated into a quantitative model. In the operation intensity analysis module, under the same acupoint combination, the correlation between the feedback of operation parameters (electrical stimulation and ultrasound intensity) and vital sign parameters during historical acupuncture is analyzed. The intensity weight of each operation parameter is determined by combining numerical characteristics, clarifying the response degree of "electrical stimulation + ultrasound" under different acupoint combinations. Finally, in the dynamic control module, the patient's vital sign data, Qi and blood status, contribution of vital sign parameters, and intensity weight of operation parameters under current acupuncture are integrated to automatically adjust the preset intensity of electrical stimulation and ultrasound. This allows the adjusted intensity to better adapt to individual differences and dynamic changes in the patient's vital signs and Qi and blood during the treatment process, achieving "individualized dynamic adjustment" and effectively improving the accuracy of operation parameter control during acupuncture with synergistic electrical stimulation and ultrasound.

[0111] Please see Figure 4This diagram illustrates a system structure of an acupoint dynamic control system combining electrical stimulation and ultrasound, according to an embodiment of the present invention. The system includes a processor 400, a memory 401, a bus 402, and a communication interface 403. The processor 400, communication interface 403, and memory 401 are connected via the bus 402. The memory 401 may contain a high-speed random access memory, and the bus 402 may be an ISA bus, PCI bus, or EISA bus, etc. The processor 400 may be an integrated circuit chip with signal processing capabilities. The memory 401 stores at least one instruction, at least one program, code set, or instruction set. When the processor loads and executes the at least one instruction, at least one program, code set, or instruction set, it implements the steps in each module of the acupoint dynamic control system combining electrical stimulation and ultrasound.

[0112] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0113] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0114] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A dynamic acupoint regulation system combining electrical stimulation and ultrasound, characterized in that, The system includes: The data acquisition module is used to acquire time-series data of various vital signs and Qi and blood levels of patients before and after each acupuncture session; and to acquire the acupoint combination and operation parameters for each acupuncture session, including electrical stimulation intensity and ultrasound intensity. The vital sign contribution analysis module is used to compare the fluctuations of time series data of each vital sign parameter before and after any historical acupuncture for any given acupuncture session, obtain the feedback time series data of each vital sign parameter after acupuncture, and perform correlation analysis with the time series data of Qi and blood levels to obtain the contribution of each vital sign parameter. The operation intensity analysis module is used to analyze the correlation of feedback time series data of each operation parameter and each vital sign parameter during historical acupuncture under the same acupoint combination, and to determine the intensity weight of each operation parameter under each acupoint combination by combining numerical characteristics. The dynamic control module is used to adaptively control the preset intensity of each operation parameter under each acupuncture point combination under the current acupuncture by integrating time-series data of various physical signs and parameters before acupuncture, time-series data of Qi and blood levels, contribution degree of corresponding physical signs and parameters, and intensity weight of each operation parameter under each acupuncture point combination. The method for obtaining the feedback time series data includes: In each historical acupuncture session, the fluctuation characteristics of the time-series data of each vital sign parameter before and after acupuncture are compared to determine the effect reference weight of each vital sign parameter at each time point after acupuncture. In each historical acupuncture session, for any given physical sign parameter, the difference in the value of that physical sign parameter before and after acupuncture is analyzed, and the feedback factor of that physical sign parameter at each time point after acupuncture is determined. The product of the feedback factor and the effect reference weight at each time step in the time series data after acupuncture for this type of vital sign parameter is used as the feedback value at each time step. The feedback values ​​of each vital sign parameter after each acupuncture session are arranged in chronological order at all times, thus obtaining the chronological data of the feedback of each vital sign parameter after each acupuncture session.

2. The acupoint dynamic regulation system synergistically combining electrical stimulation and ultrasound according to claim 1, characterized in that, The methods for obtaining the effect reference weights include: In each historical acupuncture session, the time-series data of each vital sign parameter before and after acupuncture were periodically divided according to the same time interval to obtain data segments; In the time series data of each vital sign parameter before and after acupuncture, the values ​​at the same time number in all data segments are arranged into a sequence according to time sequence. The sequence before acupuncture is taken as the front subsequence, the sequence after acupuncture is taken as the back subsequence, and the front subsequence and back subsequence with the same time number of the value are combined as subsequences. In each subsequence combination corresponding to each vital sign parameter, the sum of the absolute values ​​of all values ​​in the first-order difference sequence corresponding to the previous subsequence is taken as the previous change amplitude value, the sum of the absolute values ​​of all values ​​in the first-order difference sequence corresponding to the subsequent subsequence is taken as the subsequent change amplitude value, and the absolute value of the difference between the previous change amplitude value and the subsequent change amplitude value is taken as the change difference degree. In each subsequence combination, the variance of all values ​​in the subsequent subsequence is negatively correlated and mapped to a value, which is then used as a stationarity factor. The product of the stationarity factor and the corresponding degree of variation is normalized and used as the effect reference weight of the time corresponding to the value in each subsequence combination.

3. The acupoint dynamic regulation system synergistically combining electrical stimulation and ultrasound according to claim 1, characterized in that, The method for obtaining the feedback factor includes: In each historical acupuncture process, for any vital sign parameter, the difference between the value at the last moment in the time series data before acupuncture and the value at each moment in the time series data after acupuncture is used as the feedback factor at each moment in the time series data after acupuncture.

4. The acupoint dynamic regulation system synergistically combining electrical stimulation and ultrasound according to claim 1, characterized in that, The methods for obtaining the contribution include: For any historical acupuncture session, the normalized Pearson correlation coefficient between the feedback time series data of each vital sign parameter and the time series data of Qi and blood levels after acupuncture is used as the contribution factor for each vital sign parameter. In this historical acupuncture treatment, the proportion of the contribution factor of each vital sign parameter in the total contribution factors and values ​​of all vital sign parameters is used as the contribution weight of each vital sign parameter. The average contribution weight of each vital sign parameter across all historical acupuncture treatments is taken as the contribution degree of each vital sign parameter.

5. The acupoint dynamic regulation system synergistically combining electrical stimulation and ultrasound according to claim 1, characterized in that, The method for obtaining the intensity weight includes: The feedback time series data of each vital sign parameter after each historical acupuncture session is used as the feedback time series data of the vital sign parameters before the next acupuncture session. In all historical acupuncture cases, the numerical differences in the feedback time-series data of vital signs parameters before and after acupuncture were analyzed to determine the improvement weight corresponding to each acupoint combination. In all historical acupuncture sessions corresponding to each acupoint combination, the correlation between the feedback time series data of operational parameters and vital sign parameters is analyzed to obtain the intensity factor of each operational parameter under each acupoint combination. The normalized value of the product of the improvement weight corresponding to each acupoint combination and the intensity factor of each operation parameter under each acupoint combination is used as the intensity weight of each operation parameter under each acupoint combination.

6. The acupoint dynamic regulation system synergistically combining electrical stimulation and ultrasound according to claim 5, characterized in that, The method for obtaining the improvement weights includes: For each combination of acupoints, the absolute value of the difference between the mean of all values ​​in the feedback time series data of each physical sign parameter after each acupuncture and the mean of all values ​​in the feedback time series data before acupuncture is used as the improvement factor for each physical sign parameter. The sum of the improvement factors of all physical sign parameters is normalized and used as the improvement feature value for each acupuncture. The sum of the improvement characteristic values ​​of all acupuncture sessions for each acupoint combination is used as the improvement index for each acupoint combination. The proportion of the improvement index of each acupoint combination in the sum of the improvement indices of all acupoint combinations is used as the improvement weight for each acupoint combination.

7. The acupoint dynamic regulation system synergistically combining electrical stimulation and ultrasound according to claim 5, characterized in that, The method for obtaining the intensity factor includes: In all the acupuncture sessions corresponding to each acupoint combination, each operation parameter of all acupuncture sessions is arranged in chronological order to obtain the operation parameter sequence. The mean of all values ​​in the feedback time series data corresponding to each symptom parameter of all acupuncture sessions is arranged in chronological order to obtain the feedback parameter sequence. The absolute value of the Pearson correlation coefficient between the sequence of operational parameters corresponding to each acupoint combination and the sequence of feedback parameters of each vital sign parameter is used as the sensitivity of each vital sign parameter to each operational parameter under each acupoint combination. For each acupoint combination, the sum of the sensitivities of all vital signs to each operational parameter is normalized and used as the intensity factor for each operational parameter under each acupoint combination.

8. The acupoint dynamic regulation system synergistically combining electrical stimulation and ultrasound according to claim 1, characterized in that, The adaptive adjustment of the preset intensity of each operation parameter under each acupoint combination in the current acupuncture treatment includes: By utilizing the contribution of each vital sign parameter, the data values ​​of various vital sign parameters in the time series data before the current acupuncture are weighted, and combined with the numerical characteristics of the time series data of Qi and blood levels, the Qi and blood index under the current acupuncture is determined. The difference between the current Qi and Blood Index under acupuncture and the preset Qi and Blood Index is multiplied by the intensity weight of each operation parameter under each acupoint combination, and used as the adjustment weight of each operation parameter under each acupoint combination. For each acupoint combination, the sum of the adjustment weight of each operation parameter and the preset constant is used as the adjustment degree value. The value obtained by multiplying the adjustment degree value of each operation parameter by the preset intensity of each operation parameter is used as the adaptive intensity value of each operation parameter for each acupoint combination under the current acupuncture.

9. The acupoint dynamic regulation system synergistically combining electrical stimulation and ultrasound according to claim 8, characterized in that, The method for obtaining the Qi and Blood Index includes: Under the current acupuncture treatment, the mean of all values ​​in the time series data of each vital sign parameter is negatively correlated and mapped to the value, which is used as the representativeness of each vital sign parameter. The product of the contribution and the representativeness of each vital sign parameter is used as the Qi and Blood factor of each vital sign parameter under the current acupuncture. Calculate the sum of the Qi and Blood factors of all vital signs under the current acupuncture and the mean of all values ​​in the time series data of Qi and Blood levels under the current acupuncture, and normalize the obtained sum as the Qi and Blood index under the current acupuncture.

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