Traditional Chinese medicine dietary therapy formula generation method and device based on pulse data, medium and product

Abstract

The invention provides a traditional Chinese medicine dietary therapy formula generation method and device based on pulse data, a medium and a product, and relates to the technical field of pulse recognition. The method comprises the steps that a resting radial artery pulse signal of a target user in a resting state is collected, and after the target user intakes a preset standard meal, the preset standard meal is obtained; acquiring a load radial artery pulse signal of the target user in a load state; differential analysis is conducted on the resting radial artery pulse signals and the load radial artery pulse signals, and constitution type membership degree vectors are obtained; inputting the physique type membership degree vector into a pre-trained physique type analysis model to obtain a personalized physiological parameter vector; performing traditional Chinese medicine dietary therapy conversion processing on the personalized physiological parameter vector, and determining a personalized dietary therapy conditioning demand of the target user; and screening out a food material combination matched with the personalized dietary therapy conditioning demand from a traditional Chinese medicine food material database associated with the target user, and carrying out proportioning optimization on the food material combination to generate a personalized traditional Chinese medicine dietary therapy formula.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of pulse recognition, and in particular to a traditional Chinese medicine diet recipe generation method and device based on pulse data, a medium and a product. BACKGROUND

[0002] With the deepening of the concept of health management and the accelerated promotion of modernization of traditional Chinese medicine, personalized traditional Chinese medicine diet has become an important means of preventing diseases and promoting health. Especially in the field of chronic disease prevention and control and sub-health conditioning, in the face of the current situation of significant physical differences, diverse health needs and complex diet knowledge, a scientific physical identification and diet recipe generation method is urgently needed to achieve precise and personalized service of traditional Chinese medicine diet.

[0003] In related technologies, a health data acquisition method based on single measurement is usually used for diet recommendation. In specific implementation, a user first acquires physiological data at a single time point, including heart rate, blood pressure and other conventional indicators, through a portable detection device; then, comparison and analysis are performed by using a preset standard reference value, and the health status category is mainly determined according to a fixed threshold range; finally, a corresponding general diet recipe is selected from a predefined diet scheme template according to the health status classification result and provided to the user. Although basic health evaluation and diet recommendation can be completed, the entire process only relies on static data at a single time point.

[0004] However, using the above diet recommendation method, in the actual health management process, the physiological state of the user often presents dynamic change characteristics, and the physiological response under different states has obvious differences, but the method only determines the overall state of the user according to the static measurement result at a single time point, and it is difficult to accurately identify the actual physical type of the user, thereby leading to low individual matching degree of the traditional Chinese medicine diet recipe and the user in related technologies. SUMMARY

[0005] The present application provides a traditional Chinese medicine diet recipe generation method and device based on pulse data, a medium and a product, for improving the individual matching degree of the traditional Chinese medicine diet recipe and the user.

[0006] In a first aspect, the application provides a traditional Chinese medicine diet recipe generation method based on pulse data, applied to the above-mentioned electronic device, which comprises: collecting a resting radial artery pulse signal of a target user in a resting state, and collecting a load radial artery pulse signal of the target user in a load state after the target user ingests a preset standard meal; performing differential analysis on the resting radial artery pulse signal and the load radial artery pulse signal to obtain a constitution type membership degree vector; inputting the constitution type membership degree vector into a pre-trained constitution type analysis model to obtain an individualized physiological parameter vector; performing traditional Chinese medicine diet conversion processing on the individualized physiological parameter vector to determine the individualized diet conditioning needs of the target user; screening a combination of food materials matched with the individualized diet conditioning needs from a traditional Chinese medicine food material database associated with the target user, and optimizing the combination of food materials to generate an individualized traditional Chinese medicine diet recipe.

[0007] By adopting the above technical solution, the differential analysis of the resting radial artery pulse signal and the load radial artery pulse signal can capture the pulse change characteristics of the target user in different physiological states. This dynamic comparative analysis can more accurately reflect the real constitution state of the user than single-point static measurement. The constitution type membership degree vector quantifies the degree of belonging of different constitution types, providing an accurate input basis for the constitution type analysis model, so that the individualized physiological parameter vector can accurately reflect the yin-yang qi-blood state of the user. The combination of the individualized physiological parameter vector and the traditional Chinese medicine diet conversion processing realizes accurate mapping from physiological data to diet needs, ensuring that the individualized diet conditioning needs are highly matched with the actual constitution of the user. Thus, the technical problem of low individualized matching degree of traditional Chinese medicine diet recipes and users in related technologies is solved, and the technical effect of improving the individualized matching degree of traditional Chinese medicine diet recipes and users is achieved.

[0008] Optionally, the differential analysis of the resting radial artery pulse signal and the load radial artery pulse signal to obtain the constitution type membership degree vector specifically comprises: extracting a resting time domain feature set, a resting frequency domain feature set and a resting nonlinear feature set from the resting radial artery pulse signal, and extracting a load time domain feature set, a load frequency domain feature set and a load nonlinear feature set from the load radial artery pulse signal; determining time domain difference parameters of the resting time domain feature set and the load time domain feature set, frequency domain difference parameters of the resting frequency domain feature set and the load frequency domain feature set, and nonlinear difference parameters of the resting nonlinear feature set and the load nonlinear feature set; performing feature fusion processing on the time domain difference parameters, the frequency domain difference parameters and the nonlinear difference parameters to generate a comprehensive difference feature vector; mapping the comprehensive difference feature vector to a preset multi-dimensional physiological feature space for constitution type analysis to obtain the constitution type membership degree vector.

[0009] By adopting the technical solution, the resting time domain feature set, the resting frequency domain feature set and the resting nonlinear feature set form a multi-dimensional feature comparison with the corresponding load feature set, the time domain difference parameter reflects the pulse rhythm change, the frequency domain difference parameter reveals the pulse spectrum distribution difference, and the nonlinear difference parameter captures the pulse complexity change. The three parameters cooperate to comprehensively depict the physiological response mode of the user under the load state. The feature fusion processing organically integrates the time domain difference parameter, the frequency domain difference parameter and the nonlinear difference parameter, eliminates the limitation of a single-dimensional feature, and generates a comprehensive difference feature vector containing complete pulse response information of the user. Mapping analysis of the comprehensive difference feature vector in the multi-dimensional physiological feature space realizes accurate conversion from the pulse difference feature to the constitution type membership degree through space distance calculation, and ensures that the constitution type membership degree vector can accurately quantify the constitution distribution characteristics of the user.

[0010] Optionally, the comprehensive difference feature vector is mapped to a preset multi-dimensional physiological feature space for constitution type analysis to obtain a constitution type membership degree vector, specifically including: mapping the comprehensive difference feature vector to the multi-dimensional physiological feature space, each dimension of the multi-dimensional physiological feature space corresponding to a specific pulse physiological response mode; setting a plurality of constitution type reference points according to the specific pulse physiological response mode in the multi-dimensional physiological feature space, each constitution type reference point corresponding to a preset constitution type; determining a first coordinate of each constitution type reference point in the multi-dimensional physiological feature space according to a standard physiological response feature vector of each preset constitution type on each pulse physiological response mode; performing distance calculation on the first coordinate and a second coordinate of the comprehensive difference feature vector in the multi-dimensional physiological feature space to obtain a feature space distance; determining the membership degree of the target user to each preset constitution type according to the feature space distance, and converting the membership degree into the constitution type membership degree vector.

[0011] By adopting the technical solution, each dimension of the multi-dimensional physiological feature space corresponds to a specific pulse physiological response mode, providing a standardized feature representation basis for different constitution types. The constitution type reference points are accurately positioned in the space through the standard physiological response feature vector, establishing a quantitative mapping relationship between the constitution type and the pulse feature. The distance calculation of the first coordinate and the second coordinate realizes the similarity quantization of the pulse feature of the target user and the standard constitution type feature. The smaller the feature space distance is, the higher the matching degree of the user and the constitution type is. The membership degree calculation is converted by distance inverse ratio, which converts the spatial geometric relationship into probability distribution. The constitution type membership degree vector can reflect the attribution degree of the user to multiple constitution types at the same time, avoiding the limitation of traditional single constitution judgment, and providing a more accurate and comprehensive constitution quantization basis for subsequent personalized physiological parameter analysis.

[0012] Optionally, the constitution type analysis model comprises a yin-yang balance degree calculation sub-network, a qi-blood running state evaluation sub-network and a pathological factor quantification sub-network; the constitution type membership degree vector is input into the pre-trained constitution type analysis model to obtain the personalized physiological parameter vector, specifically comprising: obtaining the yin deficiency index and the yang deficiency index output by the yin-yang balance degree calculation sub-network through numerical regression processing on the constitution type membership degree vector; obtaining the qi deficiency index and the blood stasis index output by the qi-blood running state evaluation sub-network through numerical regression processing on the constitution type membership degree vector; obtaining the dampness index and the heat toxin index output by the pathological factor quantification sub-network through numerical regression processing on the constitution type membership degree vector; and combining the yin deficiency index, the yang deficiency index, the qi deficiency index, the blood stasis index, the dampness index and the heat toxin index into a vector to generate the personalized physiological parameter vector.

[0013] By adopting the above technical solution, the yin-yang balance degree calculation sub-network specially processes the feature information related to yin-yang balance in the constitution type membership degree vector, accurately quantifies the yin deficiency index and the yang deficiency index through numerical regression processing, and reflects the yin-yang balance state of the user. The qi-blood running state evaluation sub-network performs in-depth analysis on the qi-blood running characteristics, and the output qi deficiency index and blood stasis index can accurately evaluate the qi-blood running state of the user. The pathological factor quantification sub-network focuses on the identification and quantification of pathological constitution factors, and the output dampness index and heat toxin index provide accurate numerical basis for pathological constitution conditioning. The synergistic effect of the three sub-networks realizes accurate conversion from constitution type membership degree to specific physiological indicators, and the vector combination of the yin deficiency index, the yang deficiency index, the qi deficiency index, the blood stasis index, the dampness index and the heat toxin index forms the personalized physiological parameter vector that comprehensively reflects the user's traditional Chinese medicine physiological state.

[0014] Optionally, the personalized physiological parameter vector is subjected to traditional Chinese medicine dietetic conversion processing to determine the personalized dietetic conditioning requirement of the target user, specifically including: the yin deficiency index, yang deficiency index, qi deficiency index, blood stasis index, dampness index and heat toxin index are sorted in descending order according to the numerical value, the index type corresponding to the numerical value ranked first is determined as the dominant conditioning index of the target user, the index type corresponding to the numerical value ranked after the dominant conditioning index and exceeding the preset health threshold is determined as the secondary conditioning index of the target user, the dominant conditioning index corresponds to the dominant constitution type of the target user, and the secondary conditioning index corresponds to the secondary constitution type of the target user; the dominant conditioning index is used to query the preset traditional Chinese medicine dietetic nature and taste meridian database to obtain the dominant food nature and taste parameter combination corresponding to the dominant conditioning index; the secondary conditioning index is used to perform weighted correction calculation on the dominant food nature and taste parameter combination to obtain a comprehensive food nature and taste parameter combination; the comprehensive food nature and taste parameter combination is subjected to similarity matching calculation with the preset food material efficacy attribute database to determine the spleen-tonifying food material demand, qi-tonifying food material demand, yin-nourishing food material demand, yang-warming food material demand, dampness-removing food material demand and blood-activating food material demand; the spleen-tonifying food material demand, qi-tonifying food material demand, yin-nourishing food material demand, yang-warming food material demand, dampness-removing food material demand and blood-activating food material demand are subjected to collaborative ratio adjustment to generate the personalized dietetic conditioning requirement.

[0015] By adopting the above technical solution, the descending order sorting mechanism ensures that the dominant conditioning index can accurately identify the most prominent constitution problem of the user, and the secondary conditioning index avoids the interference of weak constitution characteristics through the preset health threshold screening, and the hierarchical identification of the dominant constitution type and the secondary constitution type lays a foundation for accurate dietetic conditioning. The dominant food nature and taste parameter combination obtains a specific dietetic direction through the query of the traditional Chinese medicine dietetic nature and taste meridian database, the weighted correction calculation of the secondary conditioning index realizes comprehensive consideration of multiple constitution characteristics, and the comprehensive food nature and taste parameter combination can simultaneously consider the primary and secondary constitution conditioning requirements. The similarity matching calculation converts the abstract food nature and taste parameters into specific food material demand, and the collaborative ratio adjustment of the spleen-tonifying food material demand, qi-tonifying food material demand, yin-nourishing food material demand, yang-warming food material demand, dampness-removing food material demand and blood-activating food material demand ensures the balanced configuration among various food materials.

[0016] Optionally, the amount of spleen-strengthening food materials, qi-replenishing food materials, yin-nourishing food materials, yang-warming food materials, dampness-dispelling food materials, and blood-activating food materials are synergistically proportioned and adjusted to generate personalized food therapy regulation requirements, specifically including: constructing a food material regulation interaction matrix, elements in the food material regulation interaction matrix representing synergistic enhancement or antagonistic weakening effects of different food material combinations; using the food material regulation interaction matrix to linearly transform the amount of spleen-strengthening food materials, qi-replenishing food materials, yin-nourishing food materials, yang-warming food materials, dampness-dispelling food materials, and blood-activating food materials to obtain preliminary adjustment requirements; according to the dominant constitution type and the secondary constitution type, assigning corresponding compatibility role weights to the amount of spleen-strengthening food materials, qi-replenishing food materials, yin-nourishing food materials, yang-warming food materials, dampness-dispelling food materials, and blood-activating food materials in turn; proportioning and operating the preliminary adjustment requirements and the corresponding compatibility role weights to obtain multiple proportioning and adjusting requirements; performing daily intake total amount constraint processing on the multiple proportioning and adjusting requirements to generate personalized food therapy regulation requirements.

[0017] By adopting the above technical solutions, the food material regulation interaction matrix quantifies the synergistic enhancement and antagonistic weakening effects of different food material combinations to provide scientific interaction basis for food material proportioning, linear transformation processing ensures reasonable adjustment of the amount of various food materials after considering the interaction, and avoids weakening of the regulation effect caused by adverse compatibility between food materials. The assignment of compatibility role weights is based on the hierarchical requirements of the dominant constitution type and the secondary constitution type, so that the amount of spleen-strengthening food materials, qi-replenishing food materials, yin-nourishing food materials, yang-warming food materials, dampness-dispelling food materials, and blood-activating food materials can be differentially configured according to the importance of the user's constitution characteristics. Proportioning operation organically combines the preliminary adjustment requirements and the compatibility role weights to achieve fine adjustment of the amount of food materials, and daily intake total amount constraint processing ensures that the personalized food therapy regulation requirements meet the regulation effect while conforming to the reasonable intake range of daily diet.

[0018] Optionally, the food material combination matched with the individualized diet therapy regulation requirement is screened out from the traditional Chinese medicine food material database associated with the target user, and the food material combination is proportioned and optimized to generate an individualized traditional Chinese medicine diet therapy formula, and the specific method further comprises: screening a candidate food material set corresponding to the spleen-invigorating food material demand, qi-supplementing food material demand, yin-nourishing food material demand, yang-warming food material demand, dampness-dispelling food material demand, and blood-activating food material demand from the traditional Chinese medicine food material database; performing multi-dimensional filtering and screening on the candidate food material set by using the individualized diet constraint condition of the target user to obtain an individualized food material set; performing compatibility analysis on the individualized food material set according to a preset traditional Chinese medicine food material compatibility taboo requirement to obtain a safe food material combination; proportioning and optimizing the safe food material combination according to the demand proportion of each food material in the individualized diet therapy regulation requirement to obtain a target food material combination; and packaging the target food material combination according to a preset diet therapy formula template to generate an individualized traditional Chinese medicine diet therapy formula.

[0019] By adopting the above technical solution, the screening of the candidate food material set is based on the accurate matching of the spleen-invigorating food material demand, qi-supplementing food material demand, yin-nourishing food material demand, yang-warming food material demand, dampness-dispelling food material demand, and blood-activating food material demand, ensuring high correspondence between the food material selection and the regulation requirement. The multi-dimensional filtering and screening of the individualized diet constraint condition considers individual differences such as the allergy history, diet preference, and taboo food of the target user, and the individualized food material set can take into account the actual diet restriction of the user on the basis of meeting the regulation requirement. The compatibility analysis of the traditional Chinese medicine food material compatibility taboo requirement excludes food material combinations that are in conflict with each other, ensuring the regulation safety and effectiveness of the safe food material combination. The proportioning and optimizing processing accurately configures each food material according to the demand proportion in the individualized diet therapy regulation requirement, the target food material combination realizes the optimal balance between the regulation effect and the food material proportion, and the packaging processing of the preset diet therapy formula template converts the complex food material proportion into an individualized traditional Chinese medicine diet therapy formula that is easy to understand and execute.

[0020] In a second aspect, an electronic device is provided, which includes one or more processors and a memory; the memory is coupled to the one or more processors, and is configured to store computer program codes including computer instructions; and the one or more processors are configured to invoke the computer instructions to enable the electronic device to perform the method described in the first aspect and any possible implementation manner of the first aspect.

[0021] In a third aspect, a computer program product including instructions is provided, and when the computer program product is executed on an electronic device, the electronic device is enabled to perform the method described in the first aspect and any possible implementation manner of the first aspect.

[0022] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, including instructions, when the instructions are executed on an electronic device, causing the electronic device to perform the method described in the first aspect and any possible implementation manner of the first aspect. BRIEF DESCRIPTION OF DRAWINGS

[0023] Figure 1 is a flowchart of a Chinese medicine diet recipe generation method based on pulse data in an embodiment of the present application; Figure 2 is a schematic diagram of an entity device structure of an electronic device in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments and are not intended to be limiting of the present application. As used in the specification and the appended claims of the present application, the singular forms "a," "an" and "the" are intended to include both singular and plural forms, unless the context clearly indicates otherwise. It will be further understood that the terms "and / or" as used herein refers to any or all possible combinations of one or more of the associated listed items.

[0025] Hereinafter, the terms "first" and "second" are only for the purpose of description, and cannot be understood as implying or suggesting relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first" and "second" can explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, the meaning of "a plurality of" is two or more, unless otherwise specified.

[0026] The present application provides a Chinese medicine diet recipe generation method based on pulse data, referring to Figure 1 , Figure 1 is a flowchart of a Chinese medicine diet recipe generation method based on pulse data in an embodiment of the present application, including the following steps: Step S101, collecting a resting radial artery pulse signal of a target user in a resting state, and collecting a load radial artery pulse signal of the target user in a load state after the target user ingests a preset standard meal; Step S102, differentiating and analyzing the resting radial artery pulse signal and the load radial artery pulse signal to obtain a constitution type membership degree vector; Step S103, inputting the constitution type membership degree vector into a pre-trained constitution type analysis model to obtain a personalized physiological parameter vector; Step S104, performing Chinese medicine diet conversion processing on the personalized physiological parameter vector to determine the personalized diet conditioning needs of the target user; Step S105, filter out the food material combination matched with the individualized food therapy conditioning demand from the traditional Chinese medicine food material database associated with the target user, and optimize the proportion of the food material combination, to generate an individualized traditional Chinese medicine food therapy formula.

[0027] In the above embodiment, take Ms. Zhang, a 45-year-old woman, as an example. She has been working in an office for a long time and often feels tired, weak, dizziness, and her weight has increased significantly in recent days. First, the resting radial artery pulse signal of Ms. Zhang in the morning on an empty stomach in a resting state is collected. The pulse collection device can be a high-precision piezoelectric sensor (sampling frequency 1000 Hz), and the collection time is 5 minutes. Then, Ms. Zhang ingests a preset standard meal (containing 100 grams of white rice, 50 grams of lean meat, 100 grams of green leafy vegetables, and a total of about 450 kilocalories), and 30 minutes after the meal, the 5-minute load radial artery pulse signal is collected again. The two groups of pulse signals are analyzed differently, and it is found that the pulse rate is 68 times per minute in the resting state, and the pulse waveform is regular, while the pulse rate is increased to 82 times per minute in the load state, and the obvious sliding pulse characteristics appear. By extracting the time domain features (such as pulse interval variability, pulse amplitude), frequency domain features (such as main frequency, spectral energy distribution), and nonlinear features (such as approximate entropy, sample entropy), the constitution type membership degree vector of Ms. Zhang is calculated as [0.15, 0.68, 0.12, 0.05], which corresponds to the membership degrees of the Pingand constitution, the phlegm-damp constitution, the qi-deficiency constitution, and the blood-stasis constitution, respectively. After the constitution type analysis model processes the membership degree vector, the individualized physiological parameter vector is output: the yin deficiency index is 0.2, the yang deficiency index is 0.3, the qi deficiency index is 0.6, the blood stasis index is 0.4, the dampness index is 0.8, and the heat-toxin index is 0.1. The dampness index is identified as the dominant conditioning index (corresponding to the phlegm-damp constitution), and the qi deficiency index is the secondary conditioning index (corresponding to the qi-deficiency constitution).

[0028] In the above embodiment, based on the traditional Chinese medicine food therapy nature and meridian database (containing the nature and meridian information of more than 3000 kinds of food materials recorded in classics such as Shennong's Herbal Classic and Food Therapy Herbal Classic), it is determined that Ms. Zhang needs 30% of spleen-strengthening food materials, 40% of dampness-eliminating food materials, 20% of qi-supplementing food materials, and 10% of other auxiliary food materials. The suitable food material combination is screened out from the traditional Chinese medicine food material database (covering 500 kinds of commonly used medicinal food materials, such as Poria cocos, yam, ginseng, dried tangerine or orange peel, and so on). Considering the individualized dietary constraints of Ms. Zhang, such as seafood allergy, seaweed, and other seafood products are excluded, and the finally generated individualized traditional Chinese medicine food therapy formula is: Poria cocos 15 grams (spleen-strengthening and dampness-eliminating), yam 30 grams (water-eliminating and dampness-penetrating), ginseng 20 grams (spleen-nourishing and qi-supplementing), dried tangerine or orange peel 6 grams (qi-regulating and phlegm-dissolving), red beans 15 grams (water-eliminating and swelling-eliminating), and lotus seeds 10 grams (spleen-strengthening and diarrhea-stopping). The formula can be made into medicinal porridge, and it is recommended to be eaten as breakfast every day for continuous conditioning for 4 weeks.

[0029] In the above embodiment, Mr. Li, a 28-year-old IT programmer, often works overtime and has symptoms of palpitations, insomnia, dry mouth and throat. After collecting his pulse data, the analysis shows that the body constitution type membership degree vector is [0.1, 0.2, 0.15, 0.55], corresponding to yin deficiency constitution. The personalized physiological parameter vector shows that the yin deficiency index is 0.85, the yang deficiency index is 0.1, the qi deficiency index is 0.3, the blood stasis index is 0.2, the dampness index is 0.15, and the heat toxicity index is 0.4. The generated diet formula focuses on nourishing yin and reducing fire: 20g of lily (nourishing yin and moistening lung), 15g of ophiopogon (nourishing yin and generating fluid), 10g of dendrobium (nourishing yin and clearing heat), 15g of medlar (nourishing liver and kidney), 20g of mulberry (nourishing yin and tonifying blood), and 15g of polygonatum (nourishing yin and moistening dryness). It is recommended to make tea and drink it several times a day, especially in the afternoon and evening, to improve the symptoms of insomnia caused by yin deficiency and excessive fire. The food material conditioning interaction matrix will be dynamically adjusted according to the theory of Chinese medicine compatibility, such as when the user is detected to have both spleen deficiency and kidney yang deficiency, the proportion of warming and tonifying materials such as cinnamon and dried ginger will be increased, while the use of cold and cool materials such as bitter gourd and winter melon will be reduced, to ensure the synergistic effect of the formula. The preset diet formula template includes various forms such as medicinal soup, tea substitute, medicinal porridge, and medicinal cake, which will be selected according to the user's living habits and acceptance to choose the most suitable presentation method.

[0030] Through the above steps, the differential analysis of the resting radial artery pulse signal and the loaded radial artery pulse signal can capture the pulse change characteristics of the target user in different physiological states. This dynamic comparative analysis can more accurately reflect the user's true physical condition compared to single-point static measurement. The body constitution type membership degree vector quantifies the degree of belonging to different body constitution types, providing accurate input for the body constitution type analysis model, so that the personalized physiological parameter vector can accurately reflect the user's yin and yang qi and blood state. The combination of personalized physiological parameter vector and TCM diet conversion processing realizes accurate mapping from physiological data to diet needs, ensuring that the personalized diet conditioning needs are highly matched with the user's actual physical condition. Thus, the technical problem of low individual matching degree of TCM diet formula and user in related technologies is solved, and the technical effect of improving the individual matching degree of TCM diet formula and user is achieved.

[0031] Wherein, the execution subject of the above steps can be a system with the ability to generate TCM diet formula, or a device with the ability to generate TCM diet formula, or a controller or processor in the device or system, or a separate controller or processor, or other processing devices or processing units with similar processing functions, etc., but not limited to this.

[0032] In an optional embodiment, the resting radial artery pulse signal and the load radial artery pulse signal are analyzed by difference to obtain a constitution type membership degree vector, specifically comprising: extracting a resting time domain feature set, a resting frequency domain feature set and a resting nonlinear feature set from the resting radial artery pulse signal, and extracting a load time domain feature set, a load frequency domain feature set and a load nonlinear feature set from the load radial artery pulse signal; determining a time domain difference parameter of the resting time domain feature set and the load time domain feature set, a frequency domain difference parameter of the resting frequency domain feature set and the load frequency domain feature set, and a nonlinear difference parameter of the resting nonlinear feature set and the load nonlinear feature set; performing feature fusion processing on the time domain difference parameter, the frequency domain difference parameter and the nonlinear difference parameter to generate a comprehensive difference feature vector; mapping the comprehensive difference feature vector to a preset multi-dimensional physiological feature space for constitution type analysis to obtain the constitution type membership degree vector.

[0033] In the above embodiment, Mr. Wang, a 52-year-old man, is taken as an example. Mr. Wang is a senior manager of an enterprise, who has been under great work pressure for a long time, and has recently shown symptoms such as chest tightness, excessive sputum and heavy body. The system uses a photoelectric plethysmogram sensor to collect his radial artery pulse signal, and the sensor sampling rate is set to 200 Hz to ensure that the details of the pulse waveform can be captured. In a resting state, after Mr. Wang lies down and rests for 15 minutes, the system continuously collects 300 seconds of resting radial artery pulse signal. The resting time domain feature set extracted from the signal includes: the SDNN value (standard deviation) of HRV (Heart Rate Variability) is 35 ms, the RMSSD value (root mean square of adjacent interval differences) is 28 ms, and the mean pulse wave amplitude is 1.2 mV; the resting frequency domain feature set includes: the low frequency power (LF, 0.04-0.15 Hz) is 520 ms², the high frequency power (HF, 0.15-0.4 Hz) is 380 ms², and the LF / HF ratio is 1.37; the resting nonlinear feature set includes: the ApEn value is 1.15, the SampEn value is 1.08, and the fractal dimension is 1.42. Then Mr. Wang ingests a standard meal (a balanced diet containing 60% carbohydrates, 20% proteins and 20% fats), and the system collects the load radial artery pulse signal 45 minutes after the meal. The load time domain feature set shows that the SDNN value rises to 48 ms, the RMSSD value drops to 22 ms, and the mean pulse wave amplitude increases to 1.8 mV; the load frequency domain feature set shows that the LF power rises to 890 ms², the HF power drops to 210 ms², and the LF / HF ratio rises to 4.24; the load nonlinear feature set shows that the ApEn value drops to 0.92, the SampEn value drops to 0.85, and the fractal dimension rises to 1.58.

[0034] In the above embodiment, the time domain difference parameter is calculated, using the Euclidean distance formula: time domain difference parameter = √[(SDNN load- SDNN rest)²+ (RMSSD load- RMSSD rest)²+ (amplitude load- amplitude rest)²] = √[(48-35)²+ (22-28)²+ (1.8-1.2)²] = 14.1. The frequency domain difference parameter is calculated by the power spectral density change rate: frequency domain difference parameter = |LF load / HF load- LF rest / HF rest| / |LF rest / HF rest| x 100% = 209%. The nonlinear difference parameter is calculated using relative entropy: nonlinear difference parameter = 0.28. The feature fusion processing uses a weighted fusion algorithm, and the weight coefficients are determined according to the information gain: time domain weight 0.35, frequency domain weight 0.40, nonlinear weight 0.25. The comprehensive difference feature vector = [14.1 x 0.35, 209 x 0.40, 0.28 x 0.25] = [4.94, 83.6, 0.07], and after normalization processing, the 12-dimensional feature vector [0.42, 0.68, 0.35, 0.52, 0.71, 0.38, 0.45, 0.62, 0.48, 0.55, 0.39, 0.58] is obtained. The multi-dimensional physiological feature space is set to a 12-dimensional space, and each dimension corresponds to a specific pulse physiological response mode: the first dimension corresponds to sympathetic nervous response, the second dimension corresponds to parasympathetic nervous response, the third dimension corresponds to vascular elasticity response, the fourth dimension corresponds to myocardial contractility response, the fifth dimension corresponds to peripheral resistance response, the sixth dimension corresponds to blood viscosity response, the seventh dimension corresponds to qi-blood running response, the eighth dimension corresponds to fluid metabolism response, the ninth dimension corresponds to yang qi ascending response, the tenth dimension corresponds to yin fluid nourishing response, the eleventh dimension corresponds to phlegm accumulation response, and the twelfth dimension corresponds to blood stasis blockage response.

[0035] In the above embodiment, nine constitution type reference points are preset, respectively corresponding to the Pingweizhi, Qixuzhi, Yangxuzhi, Yinxuzhi, Tanzhizhi, Shirezhi, Xuezizhi, Qiyuzhi and Tezhizhi. The characteristic coordinates of the Tanzhizhi reference point are [0.38, 0.72, 0.41, 0.48, 0.69, 0.44, 0.39, 0.75, 0.36, 0.42, 0.78, 0.45], which are obtained by statistical analysis of the pulse characteristics of 500 typical Tanzhizhi patients. The comprehensive difference characteristic vector of Mr. Wang is calculated, and the characteristic space distance of each constitution type reference point is calculated by using the cosine similarity algorithm. The calculation result shows that the similarity with the Pingweizhi reference point is 0.18, the similarity with the Qixuzhi reference point is 0.68, the similarity with the Yangxuzhi reference point is 0.12, the similarity with the Yinxuzhi reference point is 0.15, the similarity with the Tanzhizhi reference point is 0.92, the similarity with the Shirezhi reference point is 0.45, the similarity with the Xuezizhi reference point is 0.32, the similarity with the Qiyuzhi reference point is 0.08, and the similarity with the Tezhizhi reference point is 0.05. According to the distance inverse ratio principle, the membership degree is converted, and the calculation formula is: the membership degree of a certain constitution = the similarity of the certain constitution / the sum of the similarities of all constitutions.Specific calculations are as follows: phlegm-dampness quality membership degree = 0.92 / (0.18+0.68+0.12+0.15+0.92+0.45+0.32+0.08+0.05) = 0.92 / 2.95 = 0.312; qi deficiency quality membership degree = 0.68 / (0.18+0.68+0.12+0.15+0.92+0.45+0.32+0.08+0.05) = 0.68 / 2.95 = 0.231; damp-heat quality membership degree = 0.45 / (0.18+0.68+0.12+0.15+0.92+0.45+0.32+0.08+0.05) = 0.45 / 2.95 = 0.153; blood stasis quality membership degree = 0.32 / (0.18+0.68+0.12+0.15+0.92+0.45+0.32+0.08+0.05) = 0.32 / 2.95 = 0.108; normal quality membership degree = 0.18 / (0.18+0.68+0.12+0.15+0.92+0.45+0.32+0.08+0.05) = 0.18 / 2.95 = 0.061; yin deficiency quality membership degree = 0.15 / (0.18+0.68+0.12+0.15+0.92+0.45+0.32+0.08+0.05) = 0.15 / 2.95 = 0.051; yang deficiency quality membership degree = 0.12 / (0.18+0.68+0.12+0.15+0.92+0.45+0.32+0.08+0.05) = 0.12 / 2.95 = 0.041; qi depression quality membership degree = 0.08 / (0.18+0.68+0.12+0.15+0.92+0.45+0.32+0.08+0.05) = 0.08 / 2.95 = 0.027; special constitution quality membership degree = 0.05 / (0.18+0.68+0.12+0.15+0.92+0.45+0.32+0.08+0.05) = 0.05 / 2.95 = 0.017. The final generated constitution type membership degree vector is [0.061, 0.231, 0.041, 0.051, 0.312, 0.153, 0.108, 0.027, 0.017], which accurately reflects that Mr. Wang has a complex constitution mainly of phlegm-dampness quality (membership degree 0.312) and qi deficiency quality (membership degree 0.231). The analysis result is highly consistent with the daily performance of Mr. Wang: the phlegm-dampness quality is characterized by obesity (BMI index 28.5), full abdomen, more facial oil, chest tightness and much sputum, and smooth pulse (pulse waveform is smooth and fluent); the qi deficiency quality is characterized by fatigue, shortness of breath, and reluctance to speak, which is aggravated after activity. Accordingly, a personalized diet therapy scheme of invigorating the spleen to eliminate dampness and tonifying qi to reduce phlegm is formulated for Mr. Wang.

[0036] In an optional embodiment, the comprehensive difference feature vector is mapped to a preset multi-dimensional physiological feature space for constitution type analysis, and a constitution type membership degree vector is obtained, specifically including: mapping the comprehensive difference feature vector to the multi-dimensional physiological feature space, each dimension of the multi-dimensional physiological feature space corresponding to a specific pulse physiological response mode; setting a plurality of constitution type reference points in the multi-dimensional physiological feature space according to the specific pulse physiological response mode, each constitution type reference point corresponding to a preset constitution type; determining a first coordinate of each constitution type reference point in the multi-dimensional physiological feature space according to a standard physiological response feature vector of each preset constitution type on each pulse physiological response mode; performing distance calculation on the first coordinate and a second coordinate of the comprehensive difference feature vector in the multi-dimensional physiological feature space to obtain a feature space distance; determining a membership degree of the target user to each preset constitution type according to the feature space distance, and converting the membership degree into the constitution type membership degree vector.

[0037] In the above embodiment, a 38-year-old Ms. Chen, a financial analyst, is taken as an example. Ms. Chen has recently had symptoms such as palpitation, insomnia, dry mouth, and hot hands and feet. A piezoresistive pulse sensor (sensitivity 0.01 mV / mmHg, response frequency 0.1-100 Hz) is used to collect the radial artery pulse signal of Ms. Chen. First, the comprehensive difference feature vector is extracted. Through the foregoing difference analysis, the comprehensive difference feature vector of Ms. Chen is [0.35, 0.42, 0.78, 0.65, 0.28, 0.55, 0.72, 0.38, 0.82, 0.45], which contains 10-dimensional standardized feature values. The vector is mapped to a 10-dimensional physiological feature space. The specific pulse physiological response mode is defined as the response characteristics of the pulse signal under a specific physiological load, including: the first dimension: autonomic nervous balance response (reflecting the balance state of sympathetic and parasympathetic nerves); the second dimension: vascular compliance response (reflecting the elasticity and dilation capacity of blood vessels); the third dimension: myocardial metabolism response (reflecting the oxygen consumption and energy metabolism level of the myocardium); the fourth dimension: microcirculation perfusion response (reflecting the peripheral blood circulation state); the fifth dimension: body fluid regulation response (reflecting water and salt metabolism and fluid transportation); the sixth dimension: qi movement and lifting response (reflecting the movement and lifting of qi); the seventh dimension: yin-yang balance response (reflecting the dynamic balance state of yin and yang); the eighth dimension: phlegm-wet metabolism response (reflecting the generation and metabolism of phlegm-wet); the ninth dimension: heat energy metabolism response (reflecting the balance of body heat production and heat dissipation); and the tenth dimension: blood rheology response (reflecting the blood viscosity and fluidity).

[0038] In the above embodiment, 9 constitution type reference points are preset in the multi-dimensional physiological characteristic space. The standard physiological response characteristic vector is obtained by analyzing the pulse big data of 2000 typical constitution people, and the first coordinates of each constitution type reference point are as follows: the reference point of the normal constitution: [0.50, 0.50, 0.50, 0.50, 0.50, 0.50, 0.50, 0.50, 0.50, 0.50]; the reference point of the qi deficiency constitution: [0.25, 0.35, 0.30, 0.28, 0.45, 0.20, 0.35, 0.40, 0.32, 0.38]; the reference point of the yang deficiency constitution: [0.20, 0.30, 0.25, 0.22, 0.40, 0.15, 0.20, 0.45, 0.18, 0.35]; the reference point of the yin deficiency constitution: [0.40, 0.45, 0.75, 0.70, 0.30, 0.60, 0.75, 0.35, 0.80, 0.48]; the reference point of the phlegm-damp constitution: [0.35, 0.32, 0.38, 0.30, 0.65, 0.42, 0.40, 0.78, 0.45, 0.72]; the reference point of the damp-heat constitution: [0.45, 0.38, 0.55, 0.48, 0.70, 0.52, 0.58, 0.75, 0.68, 0.65]; the reference point of the blood stasis constitution: [0.38, 0.28, 0.42, 0.25, 0.48, 0.35, 0.45, 0.52, 0.40, 0.85]; the reference point of the qi stagnation constitution: [0.42, 0.35, 0.48, 0.38, 0.55, 0.25, 0.52, 0.48, 0.45, 0.58]; and the reference point of the special constitution: [0.48, 0.55, 0.52, 0.60, 0.58, 0.45, 0.55, 0.50, 0.52, 0.55]. The second coordinates of the comprehensive difference characteristic vector of Ms. Chen in the multi-dimensional physiological characteristic space are [0.35, 0.42, 0.78, 0.65, 0.28, 0.55, 0.72, 0.38, 0.82, 0.45].

[0039] In the above embodiment, the feature space distance is calculated using the Euclidean distance formula: distance = V [∑(first coordinate i - second coordinate i)2], where i is from 1 to 10. The specific calculation process is as follows: the distance D1 from the flat and quality is = V [(0.50-0.35)2+(0.50-0.42)2+(0.50-0.78)2+(0.50-0.65)2+(0.50-0.28)2+(0.50-0.55)2+(0.50-0.72)2+(0.50-0.38)2+(0.50-0.82)2+(0.50-0.45)2]=0.590; the distance D2 from the qi deficiency quality is = V [(0.25-0.35)2+(0.35-0.42)2+(0.30-0.78)2+(0.28-0.65)2+(0.45-0.28)2+(0.20-0.55)2+(0.35-0.72)2+(0.40-0.38)2+(0.32-0.82)2+(0.38-0.45)2]=0.962; the distance D3 from the yang deficiency quality is = V [(0.20-0.35)2+(0.30-0.42)2+(0.25-0.78)2+(0.22-0.65)2+(0.40-0.28)2+(0.15-0.55)2+(0.20-0.72)2+(0.45-0.38)2+(0.18-0.82)2+(0.35-0.45)2]=1.171; the distance D4 from the yin deficiency quality is = V [(0.40-0.35)2+(0.45-0.42)2+(0.75-0.78)2+(0.70-0.65)2+(0.30-0.28)2+(0.60-0.55)2+(0.75-0.72)2+(0.35-0.38)2+(0.80-0.82)2+(0.48-0.45)2]=0.113; the distance D5 from the phlegm-damp quality is = V [(0.35-0.35)2+(0.32-0.42)2+(0.38-0.78)2+(0.30-0.65)2+(0.65-0.28)2+(0.42-0.55)2+(0.40-0.72)2+(0.78-0.38)2+(0.45-0.82)2+(0.72-0.45)2]=0.958; the distance D6 from the damp-heat quality is = V [(0.45-0.35)2+(0.38-0.42)2+(0.55-0.78)2+(0.48-0.65)2+(0.70-0.28)2+(0.52-0.55)2+(0.58-0.72)2+(0.75-0.38)2+(0.68-0.82)2+(0.65-0.45)2]=0.698; the distance D7 from the blood stasis quality is = V [(0.38-0.35)2+(0.28-0.42)2+(0.42 -0.78)2+(0.25-0.65)2+(0.48-0.28)2+(0.35-0.55)2+(0.45-0.72)2+(0.52-0.38)2+(0.40-0.82)2+(0.85-0.45)2]=0.905; the distance D8 from the QI YU type = V(0.42-0.35)2+(0.35-0.42)2+(0.48-0.78)2+(0.38-0.65)2+(0.55-0.28)2+(0.25-0.55)2+(0.52-0.72)2+(0.48-0.38)2+(0.45-0.82)2+(0.58-0.45)2]=0.734; the distance D9 from the TE DING type = V(0.48-0.35)2+(0.55-0.42)2+(0.52-0.78)2+(0.60-0.65)2+(0.58-0.28)2+(0.45-0.55)2+(0.55-0.72)2+(0.50-0.38)2+(0.52-0.82)2+(0.55-0.45)2]=0.589.

[0040] In the above embodiment, the membership weight is calculated according to the reciprocal of the feature space distance: yin deficiency weight: 1 / 0.113 = 8.850; special constitution weight: 1 / 0.589 = 1.698; balanced constitution weight: 1 / 0.590 = 1.695; damp-heat weight: 1 / 0.698 = 1.433; qi depression weight: 1 / 0.734 = 1.363; blood stasis weight: 1 / 0.905 = 1.105; phlegm-damp weight: 1 / 0.958 = 1.044; qi deficiency weight: 1 / 0.962 = 1.040; yang deficiency weight: 1 / 1.171 = 0.854. The weight sum = 8.850 + 1.698 + 1.695 + 1.433 + 1.363 + 1.105 + 1.044 + 1.040 + 0.854 = 19.082. The membership of each constitution type is calculated: yin deficiency membership = 8.850 / 19.082 = 0.464; special constitution membership = 1.698 / 19.082 = 0.089; balanced constitution membership = 1.695 / 19.082 = 0.089; damp-heat membership = 1.433 / 19.082 = 0.075; qi depression membership = 1.363 / 19.082 = 0.071; blood stasis membership = 1.105 / 19.082 = 0.058; phlegm-damp membership = 1.044 / 19.082 = 0.055; qi deficiency membership = 1.040 / 19.082 = 0.054; yang deficiency membership = 0.854 / 19.082 = 0.045. The final generated constitution type membership vector is [0.089, 0.054, 0.045, 0.464, 0.055, 0.075, 0.058, 0.071, 0.089], corresponding to the membership of [balanced constitution, qi deficiency, yang deficiency, yin deficiency, phlegm-damp, damp-heat, blood stasis, qi depression, special constitution]. The results show that Ms. Chen is mainly of yin deficiency constitution (membership 0.464), which is highly consistent with her daily performance (palpitation, insomnia, dry mouth, dry throat, hot hands and feet, and thin and rapid pulse). Accordingly, she is given a personalized diet therapy scheme of nourishing yin and descending fire, and nourishing heart and tranquilizing mind.

[0041] In an optional embodiment, the physique type analysis model comprises a yin-yang balance degree calculation sub-network, a qi-blood running state evaluation sub-network, and a pathological factor quantification sub-network; the physique type membership degree vector is input into the pre-trained physique type analysis model to obtain the personalized physiological parameter vector, specifically comprising: obtaining the yin deficiency index and the yang deficiency index output by the yin-yang balance degree calculation sub-network through numerical regression processing on the physique type membership degree vector; obtaining the qi deficiency index and the blood stasis index output by the qi-blood running state evaluation sub-network through numerical regression processing on the physique type membership degree vector; obtaining the dampness index and the heat toxin index output by the pathological factor quantification sub-network through numerical regression processing on the physique type membership degree vector; and combining the yin deficiency index, the yang deficiency index, the qi deficiency index, the blood stasis index, the dampness index, and the heat toxin index into a vector to generate the personalized physiological parameter vector.

[0042] In the above embodiment, after Ms. Chen's case, the constitution type membership vector of Ms. Chen [0.089, 0.054, 0.045, 0.464, 0.055, 0.075, 0.058, 0.071, 0.089] is input to the pre-trained constitution type analysis model for deep analysis. The constitution type analysis model adopts a multi-layer feedforward neural network architecture, including three parallel subnetworks. Numerical regression processing refers to mapping discrete membership values to continuous physiological index values through a neural network, with the output range being standardized values of 0-100. The yin-yang balance degree calculation subnetwork processing process: this subnetwork includes 3 fully connected layers, with neuron numbers being 9-18-2. The input layer receives a 9-dimensional constitution type membership vector, the hidden layer uses a ReLU (Rectified Linear Unit) activation function, and the output layer uses a Sigmoid activation function to map the result to the [0, 1] interval. The network weight matrices W1 (9x18) and W2 (18x2) are obtained by training 10,000 labeled samples. For Ms. Chen's input vector X = [0.089, 0.054, 0.045, 0.464, 0.055, 0.075, 0.058, 0.071, 0.089]: the first layer calculates H1 = ReLU (W1 X + b1), where the key weight parameters are: the weight of yin deficiency constitution w4 = 2.85, the weight of yang deficiency constitution w3 = 2.12, and the specific calculation is: the first hidden layer neuron h1 = ReLU (0.089 x 0.32 + 0.054 x 0.18 + 0.045 x 2.12 + 0.464 x 2.85 + 0.055 x 0.42 + 0.075 x 0.55 + 0.058 x 0.38 + 0.071 x 0.29 + 0.089 x 0.15 + 0.82) = ReLU (2.31) = 2.31, and the remaining 17 hidden layer neurons are calculated similarly to obtain the H1 vector. The second layer calculates Output = Sigmoid (W2 H1 + b2), the yin deficiency index calculation: Y1 = Sigmoid (2.31 x 0.68 + 1.85 x 0.42 +... + 0.95 x 0.31 - 1.2) = Sigmoid (3.45) = 0.969, yin deficiency index = Y1 x 100 = 96.9 ≈ 97; the yang deficiency index calculation: Y2 = Sigmoid (2.31 x 0.25 + 1.85 x 0.78 +... + 0.95 x 0.52 - 2.8) = Sigmoid (-0.68) = 0.337, yang deficiency index = Y2 x 100 = 33.7 ≈ 34.

[0043] In the above embodiment, the blood and Qi running state evaluation sub-network processing process: the sub-network structure is 9-24-2, which adopts a similar architecture but different parameters. The heat toxin index is defined as a quantitative index of the degree of accumulation of heat evil in the body, reflecting the state of inflammatory response, hypermetabolism, etc. (such as the manifestations of bitter mouth, dry throat, yellowish red urine, red tongue with yellow fur, etc.). The first layer calculation: for the Qi deficiency related features, the network focuses on the membership degree of Qi deficiency quality (weight 3.2) and Yang deficiency quality (weight 2.8); for the blood stasis related features, the network focuses on the membership degree of blood stasis quality (weight 3.5) and Qi depression quality (weight 2.2). Hidden layer calculation (take the first neuron as an example) h1 = ReLU(0.089 x 0.45 + 0.054 x 3.2 + 0.045 x 2.8 + 0.464 x 0.35 + 0.055 x 0.52 + 0.075 x 0.48 + 0.058 x 3.5 + 0.071 x 2.2 + 0.089 x 0.38 + 0.65) = ReLU(1.58) = 1.58. After completing the calculation of 24 hidden layer neurons, the output layer calculation: Qi deficiency index: Y3 = Sigmoid(1.58 x 0.52 + 2.13 x 0.38 +... + 1.77 x 0.45 - 2.1) = Sigmoid(-0.45) = 0.389, Qi deficiency index = Y3 x 100 = 38.9 ≈ 39; blood stasis index: Y4 = Sigmoid(1.58 x 0.35 + 2.13 x 0.42 +... + 1.77 x 0.68 - 1.8) = Sigmoid(0.92) = 0.715, blood stasis index = Y4 x 100 = 71.5 ≈ 72.

[0044] In the above embodiment, the pathological factor quantification subnetwork processing process: the subnetwork structure is 9-20-2, which is specially designed to evaluate the two pathological factors of dampness and heat toxicity. The dampness-related calculation focuses on phlegm-dampness (weight 3.8) and damp-heat (weight 3.2): the first hidden layer neuron h1 = ReLU (0.089 x 0.28 + 0.054 x 0.42 + 0.045 x 0.35 + 0.464 x 0.55 + 0.055 x 3.8 + 0.075 x 3.2 + 0.058 x 0.45 + 0.071 x 0.38 + 0.089 x 0.32 + 0.48) = ReLU (1.35) = 1.35. After completing the calculation of 20 hidden layer neurons: dampness index: Y5 = Sigmoid (1.35 x 0.45 + 1.92 x 0.38 +... + 1.65 x 0.52 - 1.5) = Sigmoid (0.28) = 0.570, dampness index = Y5 x 100 = 57.0 = 57; heat toxicity index: Y6 = Sigmoid (1.35 x 0.62 + 1.92 x 0.85 +... + 1.65 x 0.73 - 0.8) = Sigmoid (2.85) = 0.946, heat toxicity index = Y6 x 100 = 94.6 ≈ 95. Vector combination generates: combine the six indexes in order to generate a personalized physiological parameter vector: P = [Yin deficiency index, Yang deficiency index, Qi deficiency index, Blood stasis index, Dampness index, Heat toxicity index], P = [97, 34, 39, 72, 57, 95]. This vector comprehensively reflects Ms. Chen's physiological state: Yin deficiency index 97: indicating that Yin fluid is severely insufficient, and needs to be nourished; Yang deficiency index 34: Yangqi is relatively normal, with no obvious Yang deficiency; Qi deficiency index 39: Qi is slightly insufficient, but not the main problem; Blood stasis index 72: there is a certain degree of blood circulation; Dampness index 57: there is moderate accumulation of dampness in the body; Heat toxicity index 95: internal heat is severe, and the deficiency of fire is obvious. According to the parameter vector, a personalized health management plan is generated for Ms. Chen: focusing on nourishing yin and clearing heat, and considering blood circulation and spleen dampness. Recommended diet includes Lily and Tremella soup (nourishing yin and clearing heat), Danshen Shanzha tea (promoting blood circulation and removing blood stasis), etc.; exercise suggestions include choosing Taijiquan, yoga and other relaxing exercises to avoid strenuous exercise and consume Yin fluid; physiotherapy scheme selects acupoints such as Sanyinjiao, Taixi and Xuehai for acupuncture.

[0045] In an optional embodiment, the personalized physiological parameter vector is subjected to traditional Chinese medicine dietetic conversion processing to determine the personalized dietetic conditioning needs of the target user, specifically including: sorting the yin deficiency index, yang deficiency index, qi deficiency index, blood stasis index, dampness index and heat toxin index in descending order according to the numerical value, determining the index type corresponding to the numerical value ranked first as the dominant conditioning index of the target user, determining the index type corresponding to the numerical value ranked after the dominant conditioning index and exceeding the preset health threshold as the secondary conditioning index of the target user, the dominant conditioning index corresponding to the dominant constitution type of the target user, and the secondary conditioning index corresponding to the secondary constitution type of the target user; querying the preset traditional Chinese medicine dietetic nature and flavor meridian database using the dominant conditioning index to obtain the dominant food nature and flavor parameter combination corresponding to the dominant conditioning index; using the secondary conditioning index to perform weighted correction calculation on the dominant food nature and flavor parameter combination to obtain a comprehensive food nature and flavor parameter combination; performing similarity matching calculation on the comprehensive food nature and flavor parameter combination and the preset food material efficacy attribute database to determine the spleen invigorating food material demand, qi supplementing food material demand, yin nourishing food material demand, yang warming food material demand, dampness expelling food material demand and blood activating food material demand; and synergistically adjusting the spleen invigorating food material demand, qi supplementing food material demand, yin nourishing food material demand, yang warming food material demand, dampness expelling food material demand and blood activating food material demand to generate personalized dietetic conditioning needs.

[0046] In the above embodiment, continue to take Ms. Chen's personalized physiological parameter vector [97, 34, 39, 72, 57, 95] as an example, and perform Chinese food therapy conversion processing. Index sorting and conditioning type determination: sort the six indexes in descending order of numerical value: yin deficiency index: 97 > heat toxicity index: 95 > blood stasis index: 72 > dampness index: 57 > qi deficiency index: 39 > yang deficiency index: 34. Assuming that the preset health threshold is 50, indicating that the value needs to be focused on conditioning. The leading conditioning index is the yin deficiency index (97), corresponding to the yin deficiency constitution as the leading constitution type. The secondary conditioning indexes include the heat toxicity index (95), the blood stasis index (72), and the dampness index (57), corresponding to the heat toxicity constitution, the blood stasis constitution, and the phlegm-damp constitution as the secondary constitution type. Chinese food therapy nature and meridian database query: the Chinese food therapy nature and meridian database stores the nature and meridian information of 1500 common food materials. The nature and taste parameters include the quantitative values of four qi (cold, cool, warm, and hot) and five tastes (sour, bitter, sweet, pungent, and salty), and the meridian parameters include the affinity values of twelve meridians. For the yin deficiency leading conditioning index, the leading food nature and taste parameter combination is obtained: nature parameters: cold nature 0.7, cool nature 0.8, warm nature 0.2, hot nature 0.1; taste parameters: sour taste 0.6, bitter taste 0.3, sweet taste 0.8, pungent taste 0.2, salty taste 0.5; meridian parameters: kidney meridian 0.9, liver meridian 0.7, heart meridian 0.6. Specific food material examples: lily (sweet and slightly cold, belonging to heart and lung meridians), silver ear (sweet and neutral, belonging to lung, stomach, and kidney meridians), and wolfberry (sweet and neutral, belonging to liver and kidney meridians). Weighted correction calculation: the weights of the secondary conditioning indexes are calculated as heat toxicity index weight: 95 / (95+72+57)=95 / 224=0.424, blood stasis index weight: 72 / (95+72+57)=72 / 224=0.321, and dampness index weight: 57 / (95+72+57)=57 / 224=0.255. The correction parameters corresponding to the heat toxicity index are nature correction: cold nature +0.3, cool nature +0.2, warm nature -0.2, hot nature -0.3, and taste correction: bitter taste +0.4, sweet taste -0.1, pungent taste -0.2. The correction parameters corresponding to the blood stasis index are nature correction: warm nature +0.2, hot nature +0.1, and taste correction: pungent taste +0.3, sour taste +0.2. The correction parameters corresponding to the dampness index are nature correction: warm nature +0.1, hot nature +0.05, and taste correction: pungent taste +0.2, bitter taste +0.3.The comprehensive food nature parameter calculation is cold nature: 0.7+0.424x0.3+0.321x0+0.255x0=0.827, cool nature: 0.8+0.424x0.2+0.321x0+0.255x0=0.885, warm nature: 0.2+0.424x(-0.2)+0.321x0.2+0.255x0.1=0.205, hot nature: 0.1+0.424x(-0.3)+0.321x0.1+0.255x0.05=0.018, sour taste: 0.6+0.424x0+0.321x0.2+0.255x0=0.664, bitter taste: 0.3+0.424x0.4+0.321x0+0.255x0.3=0.547, sweet taste: 0.8+0.424x(-0.1)+0.321x0+0.255x0=0.758, pungent taste: 0.2+0.424x(-0.2)+0.321x0.3+0.255x0.2=0.262, salty taste: 0.5+0=0.500.

[0047] In the above embodiment, the food material efficacy attribute database matching: the food material efficacy attribute database contains the characteristic vectors of six categories of efficacy food materials. The matching degree of the comprehensive food nature and flavor parameter combination with each category of food material is calculated by the cosine similarity algorithm. Spleen-strengthening food material characteristic vector: [0.2, 0.3, 0.7, 0.5, 0.3, 0.2, 0.9, 0.4, 0.3], similarity calculation: cos(θ)=(0.827×0.2+0.885×0.3+0.205×0.7+0.018×0.5+0.664×0.3+0.547×0.2+0.758×0.9+0.262×0.4+0.500×0.3) / (√(0.827²+0.885²+...+0.500²)×√(0.2²+0.3²+...+0.3²))=0.759, spleen-strengthening food material requirement=0.759×100=75.9 grams. Qi-supplementing food material characteristic vector: [0.3, 0.4, 0.6, 0.4, 0.2, 0.3, 0.8, 0.3, 0.4], similarity=0.682, qi-supplementing food material requirement=68.2 grams. Yin-nourishing food material characteristic vector: [0.8, 0.9, 0.2, 0.1, 0.6, 0.3, 0.8, 0.2, 0.5], similarity=0.925, yin-nourishing food material requirement=92.5 grams. Yang-warming food material characteristic vector: [0.1, 0.2, 0.8, 0.9, 0.3, 0.2, 0.5, 0.7, 0.3], similarity=0.318, yang-warming food material requirement=31.8 grams. Dampness-eliminating food material characteristic vector: [0.3, 0.4, 0.5, 0.4, 0.2, 0.7, 0.6, 0.5, 0.3], similarity=0.654, dampness-eliminating food material requirement=65.4 grams. Blood-activating food material characteristic vector: [0.2, 0.3, 0.6, 0.5, 0.7, 0.4, 0.5, 0.6, 0.3], similarity=0.712, blood-activating food material requirement=71.2 grams. Collaborative ratio adjustment: considering the synergy and antagonism between food materials, the ratio is optimized. Collaborative ratio adjustment uses a constraint optimization algorithm to ensure that the total amount is controlled within a reasonable range (300-500 grams per day). The constraint conditions include but are not limited to the ratio of yin-nourishing food material to yang-warming food material not less than 3:1 (mainly yin deficiency), dampness-eliminating food material not more than 25% of the total amount (to prevent excessive dryness and damage to yin), blood-activating food material accounting for 15-25% (taking into account blood stasis problems), etc. Adjustment calculation: total requirement=75.9+68.2+92.5+31.8+65.4+71.2=405.0 grams.Proportion optimization: nourishing yin food material: 92.5x(400 / 405)=91.4g; blood-activating food material: 71.2x(400 / 405)=70.3g; spleen-strengthening food material: 75.9x(400 / 405)=75.0g; dampness-eliminating food material: 65.4x(400 / 405)x0.8=51.7g(reduced by 20% to avoid damaging yin); qi-supplementing food material: 68.2x(400 / 405)=67.4g; yang-warming food material: 31.8x(400 / 405)x0.6=18.8g(reduced by 40% to avoid assisting heat). Adjusted total amount: 91.4+70.3+75.0+51.7+67.4+18.8=374.6g. Final individualized dietary therapy regimen: nourishing yin food material (91g / day): 30g of lily, 20g of tremella, 15g of ophiopogon, 10g of dendrobium, 16g of polygonatum; spleen-strengthening food material (75g / day): 40g of Chinese yam, 20g of poria, 15g of white kidney bean; blood-activating food material (70g / day): 15g of salvia miltiorrhiza, 5g of safflower, 20g of hawthorn, 30g of black fungus; qi-supplementing food material (67g / day): 20g of astragalus, 15g of codonopsis, 20g of jujube, 12g of lotus seed; dampness-eliminating food material (52g / day): 30g of coix seed, 22g of red bean; yang-warming food material (19g / day): 3g of cassia, 10g of ginger, 6g of pepper. The generated dietary therapy regimen suggests: lily tremella lotus soup (nourishing yin and nourishing heart) for breakfast, Chinese yam coix pork rib soup (spleen-strengthening and dampness-eliminating) for lunch, black fungus hawthorn tea (blood-activating and stasis-removing) for dinner, and ophiopogon dendrobium tea (nourishing yin and clearing heat) throughout the day. This regimen fully considers the complex physical characteristics of Ms. Chen, who is mainly yin deficiency with fire and also has blood stasis and dampness obstruction.

[0048] In an optional embodiment, the spleen-strengthening food material requirement, the qi-supplementing food material requirement, the nourishing yin food material requirement, the yang-warming food material requirement, the dampness-eliminating food material requirement, and the blood-activating food material requirement are synergistically proportioned and adjusted to generate an individualized dietary therapy regimen, specifically including: constructing a food material therapy interaction matrix, the elements in the food material therapy interaction matrix representing synergistic enhancement or antagonistic weakening when different food materials are combined; linearly transforming the spleen-strengthening food material requirement, the qi-supplementing food material requirement, the nourishing yin food material requirement, the yang-warming food material requirement, the dampness-eliminating food material requirement, and the blood-activating food material requirement using the food material therapy interaction matrix to obtain a preliminary adjusted requirement; assigning corresponding compatibility role weights to the spleen-strengthening food material requirement, the qi-supplementing food material requirement, the nourishing yin food material requirement, the yang-warming food material requirement, the dampness-eliminating food material requirement, and the blood-activating food material requirement according to the primary physical type and the secondary physical type; proportioning and operating the preliminary adjusted requirement and the corresponding compatibility role weights to obtain multiple proportionally adjusted requirements; performing daily intake total amount constraint processing on the multiple proportionally adjusted requirements to generate an individualized dietary therapy regimen.

[0049] In the above embodiment, continue with Ms. Chen's case, her initial food material requirement is: 75.9 grams of invigorating the spleen, 68.2 grams of tonifying qi, 92.5 grams of nourishing yin, 31.8 grams of warming yang, 65.4 grams of eliminating dampness, and 71.2 grams of promoting blood circulation. The system performs deep collaborative matching adjustment. The food material conditioning interaction matrix M is a 6x6 symmetric matrix with element values ranging from -1 to 1. Positive values represent synergistic enhancement (e.g., invigorating the spleen and tonifying qi complement each other), and negative values represent antagonistic weakening (e.g., nourishing yin and warming yang are mutually restrictive). The interaction matrix M: Invigorating the Spleen Tonifying Qi Nourishing Yin Warming Yang Eliminating Dampness Promoting Blood Circulation Invigorating the Spleen [1.00 0.85 0.45 -0.20 0.65 0.30] Tonifying Qi [0.85 1.00 0.50 -0.15 0.40 0.35] Nourishing Yin [0.45 0.50 1.00 -0.75 -0.35 0.25] Warming Yang [-0.20 -0.15 -0.75 1.00 0.70 -0.10] Eliminating Dampness [0.65 0.40 -0.35 0.70 1.00 0.20] Promoting Blood Circulation [0.30 0.35 0.25 -0.10 0.20 1.00] Matrix explanation: invigorating the spleen and tonifying qi (0.85): the spleen is in charge of transportation and transformation, and qi is generated from the spleen, both of which are highly synergistic; nourishing yin and warming yang (-0.75): yin and yang are opposite, and excessive nourishing of yin will inhibit the effect of warming yang; eliminating dampness and warming yang (0.70): warming yang helps to eliminate dampness, and the synergistic effect of the two is obvious. Linear transformation calculation preliminary adjustment demand: input vector V=[75.9, 68.2, 92.5, 31.8, 65.4, 71.2], linear transformation formula: V'=MxV, specific calculation process: invigorating the spleen adjustment amount=1.00x75.9+0.85x68.2+0.45x92.5+(-0.20)x31.8+0.65x65.4+0.30x71.2=233.035; tonifying qi adjustment amount=0.85x75.9+1.00x68.2+0.50x92.5+(-0.15)x31.8+0.40x65.4+0.35x71.2=225.275; nourishing yin adjustment amount=0.45x75.9+0.50x68.2+1.00x92.5+(-0.75)x31.8+(-0.35)x65.4+0.25x71.2=131.815; warming yang adjustment amount=(-0.20)x75.9+(-0.15)x68.2+(-0.75)x92.5+1.00x31.8+0.70x65.4+(-0.10)x71.2=-24.315; eliminating dampness adjustment amount=0.65x75.9+0.40x68.2+(-0.35)x92.5+0.70x31.8+1.00x65.4+0.20x71.2=146.14; promoting blood circulation adjustment amount=0.30x75.9+0.35x68.2+0.25x92.5+(-0.10)x31.8+0.20x65.4+1.00x71.2=150.865. Since the warming yang adjustment amount is negative, take its absolute value and then normalize it again: warming yang adjustment amount=|−24.315|=24.315.

[0050] In the above embodiment, the compatibility role weight is determined according to the dominant constitution (yin deficiency) and the secondary constitution (heat-toxicity, blood stasis, and phlegm-dampness). The compatibility roles include monarch (dominant role), minister (auxiliary role), assistant (regulatory role), and messenger (harmonizing role). The compatibility role weight corresponding to Ms. Chen's constitution is as follows: yin-nourishing food (monarch): weight 1.5 (dominant role in regulating yin deficiency); blood-activating food (minister): weight 1.2 (auxiliary role in improving blood stasis); dampness-eliminating food (minister): weight 1.1 (auxiliary role in eliminating dampness); spleen-strengthening food (assistant): weight 1.0 (regulatory role in spleen strengthening and transportation); qi-supplementing food (assistant): weight 0.9 (moderate qi supplementing); yang-warming food (messenger): weight 0.3 (small amount of yang warming to avoid heat accumulation). The ratio adjustment demand quantity is calculated by multiplying the preliminary adjustment quantity by the compatibility role weight: spleen-strengthening: 233.035 x 1.0 = 233.035 g, qi-supplementing: 225.275 x 0.9 = 202.748 g, yin-nourishing: 131.815 x 1.5 = 197.723 g, yang-warming: 24.315 x 0.3 = 7.295 g, dampness-eliminating: 146.14 x 1.1 = 160.754 g, blood-activating: 150.865 x 1.2 = 181.038 g. The total daily intake is constrained to be within the range of 350-450 g, and the current total amount is 982.593 g. The scaling factor is set to 0.407 to achieve a target total amount of 400 g. The final personalized dietary therapy requirement is as follows: spleen-strengthening food: 233.035 x 0.407 = 94.8 g, qi-supplementing food: 202.748 x 0.407 = 82.5 g, yin-nourishing food: 197.723 x 0.407 = 80.5 g, yang-warming food: 7.295 x 0.407 = 3.0 g, dampness-eliminating food: 160.754 x 0.407 = 65.4 g, blood-activating food: 181.038 x 0.407 = 73.7 g, total: 94.8 + 82.5 + 80.5 + 3.0 + 65.4 + 73.7 = 399.9 g ≈ 400 g. Based on the final demand quantity, the specific food combination is recommended as follows: breakfast (130 g): yam porridge: yam 40 g (spleen-strengthening), white lily 15 g (yin-nourishing), lotus seed 15 g (qi-supplementing and spleen-strengthening), Chinese wolfberry 10 g (yin-nourishing), red dates 5 (about 15 g) (qi-supplementing), silver ear 15 g (yin-nourishing), and a little rock sugar; lunch (140 g): poria and job's tears soup: poria 25 g (spleen-strengthening and dampness-eliminating), job's tears 30 g (dampness-eliminating), and red bean 20 g (dampness-eliminating); black fungus 25 g (blood-activating), hawthorn 15 g (blood-activating), and radix codonopsis 15 g (qi-supplementing); and ginger 3 g (yang-warming, strictly control the amount).Dinner (130 grams): Ophiopogon and Dendrobium Tea: Ophiopogon 20 grams (Yin), Dendrobium 15 grams (Yin), American ginseng 10 grams (Qi and Yin); Salvia miltiorrhiza 15 grams (Blood-activating), safflower 3 grams (Blood-activating), dried tangerine or orange peel 10 grams (Spleen and Qi); Astragalus 20 grams (Qi), white lentil 15 grams (Spleen). This combination of food materials fully considers the interaction between food materials, optimizes the ratio through matrix operation, ensures that Yin is the main, blood-activating and dampness-removing are auxiliary, and strictly controls the warm Yang food materials, to achieve the effect of overall balance. The interaction matrix parameters will also be continuously optimized according to user feedback to improve the accuracy of individualization.

[0051] In an optional embodiment, the food material combination matched with the individualized food therapy conditioning demand is screened out from the traditional Chinese medicine food material database associated with the target user, and the food material combination is optimized for ratio to generate an individualized traditional Chinese medicine food therapy formula, and the specific method further comprises: screening out a candidate food material set corresponding to the spleen-boosting food material demand, the Qi-boosting food material demand, the Yin-nourishing food material demand, the Yang-warming food material demand, the dampness-removing food material demand and the blood-activating food material demand from the traditional Chinese medicine food material database; filtering and screening the candidate food material set by using the individualized dietary constraint conditions of the target user to obtain an individualized food material set; performing compatibility analysis on the individualized food material set according to the preset traditional Chinese medicine food material compatibility taboo requirement to obtain a safe food material combination; performing ratio optimization processing on the safe food material combination according to the demand amount proportion of each food material in the individualized food therapy conditioning demand to obtain a target food material combination; and packaging the target food material combination according to the preset food therapy formula template to generate an individualized traditional Chinese medicine food therapy formula.

[0052] In the above embodiment, based on Ms. Chen's individualized diet therapy conditioning needs (spleen 94.8 grams, qi 82.5 grams, yin 80.5 grams, yang 3.0 grams, dampness 65.4 grams, and blood 73.7 grams), the food material screening and formula generation are carried out. The TCM food material database contains more than 2000 kinds of food materials, each of which is marked with multi-dimensional information such as efficacy attribute, nature and taste meridian, and nutritional ingredients. The candidate food materials are screened through the attribute matching algorithm. Spleen candidate food material set (15 kinds): yam, poria, white lentil, lotus seed, gordon euryale seed, coix seed, jujube, tangerine peel, amomum villosum, atractylodes, codonopsis, licorice, glutinous rice, millet, pumpkin. Qi candidate food material set (12 kinds): astragalus, codonopsis, western ginseng, prince ginseng, atractylodes, yam, jujube, honey, glutinous rice, beef, chicken, sea bass. Yin candidate food material set (18 kinds): lily, tremella, medlar, ophiopogon, dendrobium, polygonatum, black sesame, mulberry, turtle shell, turtle shell, raw land, cooked land, female privet, hydrangea, bird's nest, snow pear, soft-shelled turtle, duck meat. Yang candidate food material set (10 kinds): cassia, dried ginger, aconite, deer horn, baijiatian, epimedium, leek, walnut, mutton, shrimp. Dampness candidate food material set (14 kinds): coix seed, adzuki bean, poria, alisma, plantain seed, winter melon, corn silk, white lentil, amomum villosum, agastache, peilan, atractylodes, magnolia, tangerine peel. Blood candidate food material set (16 kinds): salvia miltiorrhiza, safflower, angelica, chuanxiong, peach kernel, safflower, hawthorn, black fungus, onion, ginger, leek, vinegar, rose flower, Chinese rose flower, motherwort, sanchi.

[0053] In the above embodiment, multi-dimensional filtering screening obtains a personalized food material set: personalized dietary constraints refer to user's dietary preferences, allergy history and other limiting factors. Ms. Chen's constraints include but are not limited to vegetarian preference (excluding meat), mild lactose intolerance (limiting dairy products), peanut allergy, and preference for light taste. Multi-dimensional filtering processing: spleen-strengthening type: exclude beef, chicken, and retain 13 plant-based food materials; Qi-replenishing type: exclude beef, chicken, and retain 9; Yin-nourishing type: exclude soft-shelled turtle, duck meat, turtle shell, and retain 14; Yang-warming type: exclude mutton, shrimp, and retain 7; Dampness-eliminating type: retain all 14; Blood-activating type: retain all 16, and the personalized food material set contains a total of 73 food materials that meet the conditions. Compatibility analysis generates a safe food material combination: preset Chinese medicine food material compatibility contraindications are based on traditional compatibility theories such as eighteen incompatibilities and nineteen taboos. Main contraindication rules: licorice is incompatible with euphorbia, gamboge, seaweed, and yam flower; aconite is incompatible with fritillaria, gualou, pinellia, baiyin, and white yam; ginseng is incompatible with raphanus; mint is incompatible with turtle shell; and poria is incompatible with vinegar. Compatibility detection can be achieved by constructing a 73x73 contraindication matrix, and the matrix elements take values of 0 (complete compatibility), 0.5 (cautionary compatibility), or 1 (absolute contraindication). All possible food material pairing combinations are detected using a double-layer traversal method. Taking licorice and seaweed as an example, when licorice (No. 12 food material) is detected, it will be sequentially paired with all subsequent food materials for compatibility checking. When seaweed (No. 45 food material) is detected, the value at the position of the contraindication matrix

[12]

[45] is 1, indicating that there is a compatibility contraindication between the two. Immediately remove seaweed from the candidate set and generate a contraindication record: licorice is incompatible with seaweed and cannot be used together. Another detection case is the compatibility of white atractylodes and peach kernel, and when the value at the position of the contraindication matrix [8]

[31] is 0.5, it indicates that the two are cautionary compatibility. Neither food material is removed, but the dosage weight of peach kernel is adjusted from 1.0 to 0.7, meaning that in subsequent ratio calculation, the actual dosage of peach kernel will be reduced by 30%, from the original plan of 10 grams to 7 grams. After 2628 pairing detections (73x72 / 2), 1 pair of absolute contraindication combinations and 3 pairs of cautionary compatibility combinations are found. Finally, 1 food material of seaweed is removed, and the dosage weights of 3 food materials of peach kernel, pinellia, and asarum are adjusted. The detection result is: licorice is found to be incompatible with seaweed, and seaweed is removed; white atractylodes and peach kernel are used together with caution, and the dosage weight of peach kernel is reduced to 0.7. The safe food material combination contains 71 food materials.

[0054] In the above embodiment, the ratio optimization process obtains the target food material combination: according to the demand amount ratio (spleen: qi: yin: yang: dampness: blood = 94.8: 82.5: 80.5: 3.0: 65.4: 73.7), the linear programming algorithm is used to optimize the ratio, and the objective function is to minimize the square sum of the difference between the actual amount of each type of food material and the demand amount. Constraint condition: the amount of each food material ≥ 3 grams (to ensure effectiveness), the amount of each food material ≤ 50 grams (to avoid excessive amount), and the total amount = 400 grams. Optimization calculation process: let x i be the amount of the i-th food material, and establish the optimization model: minimize: (Σspleen x i -94.8)²+ (Σqi x i -82.5)²+ (Σyin x i -80.5)²+ (Σyang x i -3.0)²+ (Σdampness x i -65.4)²+ (Σblood x i -73.7)², and the target food material combination is obtained by solving: spleen group: yam 35 grams, poria 25 grams, white lentil 15 grams, lotus seed 12 grams, dried tangerine peel 7.8 grams; qi group: astragalus 20 grams, codonopsis 18 grams, western ginseng 10 grams, jujube 15 grams, yam 19.5 grams (shared with spleen); yin group: lily 20 grams, tremella 18 grams, medlar 12 grams, ophiopogon 15 grams, dendrobium 15.5 grams; yang group: cassia bark 2 grams, dried ginger 1 gram; dampness group: coix seed 28 grams, small red bean 20 grams, poria 17.4 grams (shared with spleen); blood group: salvia 18 grams, hawthorn 15 grams, black fungus 20 grams, safflower 5 grams, angelica 15.7 grams. The preset food therapy formula template includes three forms: decoction type, tea type, and porridge type, which are automatically distributed according to the characteristics of the food materials. The formula template structure includes but is not limited to the following: formula name: personalized yin-nourishing and spleen-strengthening formula, formula type: complex conditioning type, dosage form classification: decoction, tea, and porridge combination, method of taking: breakfast period: porridge type; lunch period: decoction type; dinner period: tea type, food material composition: detailed food material list and amount, function explanation: yin-nourishing and blood-nourishing, spleen-strengthening and dampness-eliminating, blood-activating and stasis-removing, preparation method: specific preparation steps of each dosage form, precautions and storage method.

[0055] In the above embodiment, the final personalized Chinese medicine diet recipe: breakfast - nourishing yin and invigorating spleen porridge (135g) composition: yam 30g, lily 15g, lotus seed 12g, medlar 8g, silver fungus 10g, glutinous rice 50g, sugar 10g; production: the silver fungus is soaked in advance and torn into small pieces, the yam is peeled and cut into pieces, the lily and lotus seed are washed. After washing, glutinous rice is added with all the materials and 1000ml of water. After boiling, it is simmered for 45 minutes. Finally, medlar and sugar are added and boiled for 5 minutes; effect: nourishing yin and lung, invigorating spleen and qi, nourishing heart and calming mind. Lunch - dampness-removing and blood-activating soup (140g) composition: fuling 20g, yiyi 25g, red bean 20g, black fungus 15g, haw 12g, danshen 15g, dried tangerine peel 5g, ginger 3g, danshen 15g, jujube 10g; production: all the medicinal materials are washed and black fungus is soaked. Add 1500ml of water, soak for 30 minutes first, then boil and simmer for 60 minutes. Filter 500ml of soup and take it twice a day; effect: invigorating spleen and removing dampness, activating blood and resolving stasis, regulating qi and harmonizing the center. Dinner - nourishing yin and clearing heat tea (125g) composition: mai 15g, shih 12g, xiyang 8g, huangqi 15g, dangui 10g, red flower 3g, rose flower 5g, white bean 12g, gancao 3g; production: all the materials are put into a tea pot, add 800ml of boiling water, soak for 15 minutes, then make tea and drink. It can be repeatedly brewed for 3-4 times; effect: tonifying qi and nourishing yin, activating blood and dredging collaterals, soothing liver and regulating qi. Suggestion: take it continuously for 14 days as a course of treatment; it is better to take it 30 minutes before meal; avoid spicy, cold and greasy food during the medication; if there is discomfort, stop taking it immediately. Recipe adjustment mechanism: collect user feedback data every 7 days, including taste acceptance, physical sensation, symptom improvement, etc. Adjust the proportion of ingredients dynamically through machine learning algorithm. The adjustment range is controlled within ±20% of the original recipe to ensure the balance of safety and effectiveness. This personalized Chinese medicine diet recipe fully considers the complex physical characteristics of Ms. Chen, who has yin deficiency and fire, and blood stasis and dampness. Through scientific matching and accurate quantification, it realizes the standardization and individualization of Chinese medicine diet.

[0056] It should be further pointed out that the above examples of actual values of various parameters are only exemplary embodiments, and the above examples of actual values of various parameters are not limited to the above examples.

[0057] Through the embodiments of the present application, multi-dimensional constitution analysis is performed based on pulse data of a user, TCM constitution types such as phlegm-dampness constitution and yin-deficiency constitution are identified through pulse feature extraction, and a yin-yang balance state and a degree of dampness and blood stasis are evaluated in combination with heart rate variability analysis, to generate individualized diet therapy conditioning requirements including six dimensions of spleen invigoration, qi supplementation, yin nourishment, yang warming, dampness dispelling, and blood activation; then, candidate food material sets corresponding to each dimension are selected from a TCM food material database according to efficacy attributes, multi-dimensional filtering is performed through individualized constraint conditions such as dietary preferences and allergy history of the user, and a compatibility detection is performed based on a combination taboo theory such as eighteen incompatibilities and nineteen taboos, to remove taboo food materials and adjust a dosage weight of food materials that need to be carefully combined; then, a linear programming algorithm is used to optimize combination of safe food materials, to minimize a deviation between actual dosage and required dosage on the premise of satisfying single product dosage and total amount constraints; finally, the optimized food material combination is packaged into individualized TCM diet therapy recipes for breakfast, lunch and dinner according to preset recipe templates such as decoction, tea and porridge, to realize accurate matching and standardized output of TCM constitution identification and diet therapy conditioning, and effectively improve the individualized service level of remote health management.

[0058] The electronic device in the embodiments of the present application is described from the perspective of hardware processing below. Referring to Figure 2 , Figure 2 is a schematic structural diagram of an electronic device in the embodiments of the present application.

[0059] It should be noted that Figure 2 the structure of the electronic device shown is only an example, and should not impose any limitation on the functions and use range of the embodiments of the present application.

[0060] As shown in Figure 2 , the electronic device includes a central processing unit (CPU) 201, which can perform various appropriate actions and processes, such as the methods described in the above embodiments, according to programs stored in a read-only memory (ROM) 202 or loaded from a storage portion 208 into a random access memory (RAM) 203. Various programs and data required for system operation are also stored in the RAM 203. The CPU 201, the ROM 202, and the RAM 203 are connected to each other through a bus 204. An input / output (I / O) interface 205 is also connected to the bus 204.

[0061] The following components are connected to the I / O interface 205: an input section 206 including an audio input device, a push button switch, and the like; an output section 207 including a Liquid Crystal Display (LCD), and an audio output device, a lamp, and the like; a storage section 208 including a hard disk and the like; and a communication section 209 including a network interface card such as a LAN (Local Area Network) card, a modem, and the like. The communication section 209 performs a communication process via a network such as the Internet. A drive 210 is also connected to the I / O interface 205 as necessary. A removable recording medium 211, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, and the like, is attached to the drive 210 as necessary so that a computer program read therefrom can be installed into the storage section 208 as necessary.

[0062] In particular, the processes described above with reference to the flowcharts can be implemented as a computer software program in accordance with embodiments of the present application. For example, embodiments of the present application include a computer program product comprising a computer program carried on a computer readable medium, the computer program containing a computer program for executing the methods illustrated by the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via the communication section 209, and / or installed from the removable recording medium 211. When the computer program is executed by the central processing unit (CPU) 201, various functions defined in the present application are performed.

[0063] Note that specific examples of the computer readable storage medium can include but are not limited to an electric connection having one or more conductive wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read only memory (ROM), an erasable programmable read only memory (EPROM), a flash memory, an optical fiber, a portable compact disc read only memory (CD-ROM), an optical storage device, a magnetic storage device, or any appropriate combination thereof. In the present application, the computer readable storage medium can be any tangible medium that can contain or store a program for use by or in connection with an instruction execution system, apparatus, or device.

[0064] The flowcharts and block diagrams in the drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowcharts or block diagrams can represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved.

[0065] In particular, the electronic device of the embodiment includes a processor and a memory, and the memory stores a computer program. When the computer program is executed by the processor, the method for generating a TCM diet recipe based on pulse data provided by the above embodiment is implemented.

[0066] As another aspect, the present application also provides a computer-readable storage medium. The storage medium can be included in the electronic device described in the above embodiments, or can exist separately and not be assembled into the electronic device. The storage medium carries one or more computer programs. When the one or more computer programs are executed by a processor of the electronic device, the electronic device implements the method for generating a TCM diet recipe based on pulse data provided by the above embodiments.

[0067] The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacements to some technical features. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

[0068] Those skilled in the art can understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing relevant hardware, and the program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the above method embodiments. The foregoing storage medium includes ROM or random access memory (RAM), magnetic disk or optical disk, and various program code storage media.

Claims

1. A method for generating a Chinese medicine diet recipe based on pulse data, characterized in that, The method comprises the following steps: Collecting a resting radial artery pulse signal of a target user in a resting state, and collecting a load radial artery pulse signal of the target user in a load state after the target user ingests a preset standard meal; Performing differential analysis on the resting radial artery pulse signal and the load radial artery pulse signal to obtain a constitution type membership degree vector; Inputting the constitution type membership degree vector into a pre-trained constitution type analysis model to obtain an individualized physiological parameter vector; Converting and processing the individualized physiological parameter vector through Chinese diet therapy to determine the individualized diet therapy conditioning needs of the target user; Filtering a combination of food materials matching the individualized diet therapy conditioning needs from a Chinese food material database associated with the target user, and optimizing the combination of food materials to generate an individualized Chinese diet therapy recipe.

2. The method of claim 1, wherein, The differential analysis on the resting radial artery pulse signal and the load radial artery pulse signal to obtain the constitution type membership degree vector specifically comprises: Extracting a resting time domain feature set, a resting frequency domain feature set and a resting nonlinear feature set from the resting radial artery pulse signal, and extracting a load time domain feature set, a load frequency domain feature set and a load nonlinear feature set from the load radial artery pulse signal; Determining time domain difference parameters of the resting time domain feature set and the load time domain feature set, frequency domain difference parameters of the resting frequency domain feature set and the load frequency domain feature set, and nonlinear difference parameters of the resting nonlinear feature set and the load nonlinear feature set; Performing feature fusion processing on the time domain difference parameters, the frequency domain difference parameters and the nonlinear difference parameters to generate a comprehensive difference feature vector; Mapping the comprehensive difference feature vector to a preset multi-dimensional physiological feature space for constitution type analysis to obtain the constitution type membership degree vector.

3. The method of claim 2, wherein, The mapping of the comprehensive difference feature vector to the preset multi-dimensional physiological feature space for constitution type analysis to obtain the constitution type membership degree vector specifically comprises: Mapping the comprehensive difference feature vector to the multi-dimensional physiological feature space, each dimension of the multi-dimensional physiological feature space corresponding to a specific pulse physiological response mode; Setting a plurality of constitution type reference points in the multi-dimensional physiological feature space according to the specific pulse physiological response mode, each constitution type reference point corresponding to a preset constitution type; Determining a first coordinate of each constitution type reference point in the multi-dimensional physiological feature space according to a standard physiological response feature vector of each preset constitution type on each pulse physiological response mode; Performing distance calculation on the first coordinate and a second coordinate of the comprehensive difference feature vector in the multi-dimensional physiological feature space to obtain a feature space distance; Determining the membership degree of the target user to each preset constitution type according to the feature space distance, and converting the membership degree into a constitution type membership degree vector.

4. The method of claim 1, wherein, The constitution type analysis model comprises a yin-yang balance degree calculation sub-network, a qi-blood running state evaluation sub-network and a pathological factor quantification sub-network. The body constitution type membership degree vector is input into a pre-trained body constitution type analysis model to obtain a personalized physiological parameter vector, and the method specifically comprises the following steps: Obtaining a yin deficiency index and a yang deficiency index output by the yin-yang balance degree calculation subnetwork after numerical regression processing of the body constitution type membership degree vector; Obtaining a qi deficiency index and a blood stasis index output by the qi-blood running state evaluation subnetwork after numerical regression processing of the body constitution type membership degree vector; Obtaining a dampness index and a heat toxin index output by the pathological factor quantification subnetwork after numerical regression processing of the body constitution type membership degree vector; Vector combining the yin deficiency index, the yang deficiency index, the qi deficiency index, the blood stasis index, the dampness index and the heat toxin index to generate the personalized physiological parameter vector.

5. The method of claim 4, wherein, The personalized physiological parameter vector is subjected to traditional Chinese medicine diet therapy conversion processing to determine the personalized diet therapy conditioning requirement of the target user, and the method specifically comprises the following steps: The yin deficiency index, the yang deficiency index, the qi deficiency index, the blood stasis index, the dampness index and the heat toxin index are sorted in descending order according to numerical values, so as to determine the index type corresponding to the numerical value with the first sorting as a dominant conditioning index of the target user, and determine the index type corresponding to the numerical value exceeding a preset health threshold after the dominant conditioning index as a secondary conditioning index of the target user, the dominant conditioning index corresponding to the dominant constitution type of the target user, and the secondary conditioning index corresponding to the secondary constitution type of the target user; Querying a preset traditional Chinese medicine diet therapy nature and meridian database by using the dominant conditioning index to obtain a dominant food nature and meridian parameter combination corresponding to the dominant conditioning index; Performing weighted correction calculation on the dominant food nature and meridian parameter combination by using the secondary conditioning index to obtain a comprehensive food nature and meridian parameter combination; Carrying out similarity matching calculation on the comprehensive food nature and meridian parameter combination and a preset food material efficacy attribute database to determine a spleen-tonifying food material requirement amount, a qi-supplementing food material requirement amount, a yin-nourishing food material requirement amount, a yang-warming food material requirement amount, a dampness-removing food material requirement amount and a blood-activating food material requirement amount; Carrying out synergistic ratio adjustment on the spleen-tonifying food material requirement amount, the qi-supplementing food material requirement amount, the yin-nourishing food material requirement amount, the yang-warming food material requirement amount, the dampness-removing food material requirement amount and the blood-activating food material requirement amount to generate the personalized diet therapy conditioning requirement.

6. The method of claim 5, wherein, The method of carrying out synergistic ratio adjustment on the spleen-tonifying food material requirement amount, the qi-supplementing food material requirement amount, the yin-nourishing food material requirement amount, the yang-warming food material requirement amount, the dampness-removing food material requirement amount and the blood-activating food material requirement amount to generate the personalized diet therapy conditioning requirement specifically comprises the following steps: A food material conditioning interaction matrix is constructed, and elements in the food material conditioning interaction matrix represent synergistic enhancement or antagonistic weakening effects of different food material combinations; The spleen-tonifying food material requirement amount, the qi-supplementing food material requirement amount, the yin-nourishing food material requirement amount, the yang-warming food material requirement amount, the dampness-removing food material requirement amount and the blood-activating food material requirement amount are linearly transformed by using the food material conditioning interaction matrix to obtain preliminary adjustment requirement amounts. According to the main body constitution type and the secondary body constitution type, the spleen invigorating food material demand, the qi supplementing food material demand, the yin nourishing food material demand, the yang warming food material demand, the dampness expelling food material demand and the blood activating food material demand are sequentially allocated corresponding compatibility role weights; The preliminary adjustment demand is proportioned and calculated with the corresponding compatibility role weights to obtain a plurality of proportioned adjustment demands; The plurality of proportioned adjustment demands are subjected to daily intake total amount constraint processing to generate the individualized food therapy conditioning demand.

7. The method of claim 6, wherein, The food material combination matched with the individualized food therapy conditioning demand is screened from the traditional Chinese medicine food material database associated with the target user, and the food material combination is proportioned and optimized to generate an individualized traditional Chinese medicine food therapy recipe, and the specific method further comprises: A candidate food material set corresponding to the spleen invigorating food material demand, the qi supplementing food material demand, the yin nourishing food material demand, the yang warming food material demand, the dampness expelling food material demand and the blood activating food material demand is screened from the traditional Chinese medicine food material database; The candidate food material set is subjected to multi-dimensional filtering and screening by using the individualized dietary constraint condition of the target user to obtain an individualized food material set; According to the preset traditional Chinese medicine food material compatibility taboo requirement, the individualized food material set is subjected to compatibility analysis to obtain a safe food material combination; According to the demand amount proportion of each food material in the individualized food therapy conditioning demand, the safe food material combination is subjected to proportioning and optimization processing to obtain a target food material combination; The target food material combination is packaged according to a preset food therapy recipe template to generate the individualized traditional Chinese medicine food therapy recipe.

8. An electronic device, comprising: The electronic device comprises one or more processors and a memory; the memory is coupled with the one or more processors, the memory is used to store computer program code, the computer program code comprises computer instructions, and the one or more processors invoke the computer instructions to enable the electronic device to execute the method according to any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that, When the instructions run on the electronic device, the electronic device executes the method according to any one of claims 1-7.

10. A computer program product, characterised in that, When the computer program product runs on the electronic device, the electronic device executes the method according to any one of claims 1-7.

Images