Mobile phone app assisted syndrome differentiation and treatment intelligent system based on pulse condition data

Abstract

The application discloses a mobile phone APP assisted syndrome differentiation and treatment intelligent system based on pulse condition data, belongs to the technical field of assisted syndrome differentiation and treatment, and comprises a pulse signal acquisition and processing hardware module and a mobile phone terminal intelligent syndrome differentiation and conditioning APP module, wherein the APP module and the hardware module are in wireless communication data connection; the pulse signal acquisition and processing hardware module is a medical pulse diagnosis device carrying a flexible MEMS sensing array; the mobile phone terminal intelligent syndrome differentiation and conditioning APP module is composed of a man-machine interactive inquiry unit, a data interaction transmission unit, a pulse symptom fusion intelligent syndrome differentiation unit, a health risk grading early warning unit and a personalized dietary conditioning recommendation unit; the data interaction transmission unit is used for connecting the pulse diagnosis hardware device; the system carries a flexible MEMS sensing array of distributed multi-point parallel acquisition, strictly adheres to the human wrist inch, guan and chi three parts of nine indications anatomical structure layout sensing unit, can synchronously complete multi-pulse position pulse dynamic signal parallel acquisition, and is different from the traditional single-point pulse diagnosis equipment which cannot distinguish pulse positions and lacks characteristics.

Description

Technical Field

[0001] This invention relates to the field of auxiliary diagnosis and treatment technology, specifically to a mobile APP-based intelligent system for auxiliary diagnosis and treatment based on pulse data. Background Technology

[0002] Manual pulse diagnosis suffers from significant subjective bias, making it difficult to guarantee consistent diagnostic results. Pulse identification heavily relies on the physician's years of experience, tactile sensitivity, and personal diagnostic habits. Inexperienced physicians often struggle to distinguish subtle differences in pulse characteristics, such as a choppy, soft, or wiry pulse. Different physicians examining the same patient frequently arrive at different pulse diagnosis conclusions, indicating a lack of standardized and quantifiable criteria within the industry. The accompanying patient history taking also has shortcomings. Patients' descriptions of symptoms are often vague and subjective, and relying solely on history taking can easily overlook crucial physical signs. Therefore, the stability of diagnostic results is insufficient when using only a combination of manual pulse diagnosis and symptom assessment. Meanwhile, manual palpation makes it difficult to perceive the narrow areas of the cun, guan, and chi pulse points separately. The signals from the three pulse points are mixed together, making it impossible to extract the pulsating characteristics of a single pulse point. The details of the pulse pattern and spatial fluctuation characteristics required by the three parts and nine pulse points are easily lost. Most of the simple pulse acquisition devices on the market are single-point sensing structures, which can only capture the pulse waveform at one point on the wrist. They cannot separate the independent data of the three pulse points, which does not meet the traditional diagnostic standards of the three parts and nine pulse points. The completeness of the pulse information does not meet the requirements for syndrome differentiation.

[0003] Therefore, we have made improvements and proposed a mobile APP-based intelligent system for diagnosis and treatment based on pulse data. Summary of the Invention

[0004] In view of the above-mentioned problems in the existing technology, the purpose of this invention is to provide a mobile APP-assisted intelligent system for diagnosis and treatment based on pulse data.

[0005] To solve the above problems, the technical solution adopted by the present invention is as follows: it includes a pulse signal acquisition and processing hardware module and a mobile terminal intelligent diagnosis and treatment APP module, wherein the APP module and the hardware module are wirelessly connected and data connected. The pulse signal acquisition and processing hardware module is a medical pulse diagnosis device equipped with a flexible MEMS sensor array, used to collect pulse information from the three positions (cun, guan, chi) of the human wrist. The mobile terminal intelligent diagnosis and treatment APP module integrates a human-computer interaction consultation unit, a data interaction and transmission unit, a pulse and symptom fusion intelligent diagnosis unit, a health risk classification and early warning unit, and a personalized dietary treatment recommendation unit. The human-computer interaction consultation unit supports text and voice interaction, supports uploading tongue images from mobile phones, and collects tongue image and systemic symptom information. The data interaction and transmission unit is used to interface with pulse diagnosis hardware devices; The pulse and symptom fusion intelligent diagnosis unit has a built-in visceral diagnosis question bank, tongue image matching bank, traditional Chinese medicine matching bank and weighted fusion operation logic. It combines pulse image, tongue image and subjective symptoms to output TCM syndrome type and simultaneously output corresponding TCM reference plan. The health risk classification and early warning unit classifies health risk levels based on the diagnosis results, has a high-risk pulse condition medical reminder function, and can output home conditioning solutions for sub-healthy states with imbalance of organs, qi and blood. The personalized dietary conditioning recommendation unit has built-in data on food characteristics, dietary taboos, and seasonal health preservation. It can generate and display personalized health preservation recipes that are suitable for the user's constitution based on the pulse diagnosis results.

[0006] Preferably, the flexible MEMS sensing array is configured as a three-segment independent sensing structure, precisely positioned corresponding to the three pulse diagnosis points of the human wrist: cun, guan, and chi. The entire sensing array is made of a highly elastic flexible adhesive substrate with a thickness controlled between 0.2mm and 0.4mm. The substrate surface is uniformly arranged with matrix-style micro-protrusion sensing contacts. Each sensing segment integrates 48 sets of high-precision sensing chips. This structure can adaptively conform to the irregular curved surface of the human wrist, unaffected by differences in wrist size or bone protrusion. The three sensing segments operate independently without signal interference. Each sensing segment is equipped with an independent signal acquisition channel and an independent signal output port. All segment sensors uniformly adopt a sampling accuracy of 0.01kPa and a fixed sampling frequency of 120Hz.

[0007] Preferably, the pulse signal acquisition and processing hardware module is equipped with a dedicated embedded data preprocessing unit. The unit is a dedicated processing architecture that is solidified in hardware. The unit integrates a hardware-level signal noise reduction module, a data cleaning module, and a normalization and quantization module. Each module is a hardware-solidified circuit structure with a clear division of labor and coordinated connection to the output end of the original pulse signal. The noise reduction module is equipped with a 50Hz power frequency dedicated filter circuit, which can effectively shield the mains power frequency interference in the daily environment. The data cleaning module sets a fixed ±3σ distortion threshold criterion. The normalization and quantization module is uniformly configured with a 0-100 pulse parameter quantization range, which can directly complete the centralized processing of the original pulse electrical signal of the front-end sensor array at the hardware level.

[0008] Preferably, the data interaction transmission unit is equipped with a BLE5.0 low-power Bluetooth wireless communication module. The module is equipped with a dedicated radio frequency communication chip and an independent high-gain signal transmission antenna. The stable and effective indoor transmission distance can reach 8m. It adopts a one-to-one exclusive binding and pairing communication mode between hardware and mobile terminal, which can achieve unique matching and docking of devices and avoid signal crosstalk problems caused by multiple devices working at the same time. The module is equipped with a 256KB independent data cache stack, data packet sorting structure and hardware-level data verification subroutine architecture. It is equipped with independent data receiving and output ports, and the maximum data volume of a single packet is set to 512 bytes.

[0009] Preferably, the visceral diagnosis question bank built into the pulse-symptom fusion intelligent diagnosis unit is a system-fixed hierarchical and partitioned storage database architecture. The question bank completes a two-level hierarchical storage layout according to visceral categories and pathological signs. The first-level independent storage partition is divided into the heart, liver, spleen, lung, kidney and the six viscera, and the second-level subdivision storage partition is divided into the imbalance of qi and blood, the imbalance of yin and yang, the deviation of cold and heat, and the deficiency and excess pathology. Each partition is stored independently and the data is interconnected. The question bank has 260 symptom items fixedly stored. The human-computer interaction diagnosis unit communicates with the visceral diagnosis question bank and the tongue image matching database. It has a built-in tongue image analysis algorithm, which recognizes the tongue color, tongue coating and tongue shape by taking pictures with a mobile phone, and collects the user's sleep, bowel movements and other systemic symptoms such as general discomfort through text and voice channels.

[0010] Preferably, the pulse-symptom fusion intelligent diagnosis unit is equipped with an independent multi-dimensional weight matching module. The module is a built-in dedicated functional architecture of the system. The module has a pre-stored fixed parameter weight configuration data table that cannot be tampered with. The weight of objective pulse data is uniformly set to 0.7 and the weight of subjective symptom data is set to 0.3. Dedicated weight parameters are configured for the two types of data fields respectively. The module builds an independent data fusion calculation channel to fuse pulse, tongue image, and user symptom data to complete the syndrome determination. The traditional Chinese medicine matching library stores corresponding traditional Chinese medicines, applicable scope and contraindications according to the TCM syndrome. After the syndrome matching is completed, a TCM conditioning reference plan is output.

[0011] Preferably, the health risk grading and early warning unit has a built-in standardized risk rating database. This database adopts an independent partitioned storage structure and pre-stores various pulse abnormality parameter range thresholds and disease severity grading thresholds corresponding to different TCM syndrome types. Based on the preset threshold parameters, a four-level independent risk grading architecture is built, namely healthy, mild sub-health, severe sub-health, and high-risk lesions. Each risk level corresponds to an independent storage partition and a dedicated data output port. The database contains 320 sets of pulse abnormality judgment parameters that fully cover the corresponding syndrome types and valid sample data. When the system determines that the disease is at a high-risk level, it only pushes a medical advice prompt and no longer outputs TCM reference plans.

[0012] Preferably, the personalized dietary conditioning recommendation unit has three independent yet interconnected core databases: a database of the properties and meridian tropism of food ingredients, a database of individual dietary taboos for users, and a database of seasonal health-preserving compatibility. All three databases use a local, fixed storage mode. The food ingredient database includes 210 common health-preserving food ingredients, fully recording core fields such as the cold / hot, warm / cool properties, meridian tropism range, health-preserving effects, suitable body types, and contraindications for each ingredient. Each database is equipped with an independent data retrieval interface and interaction channel, and a linkage and call bus structure is built between the databases.

[0013] Preferably, the mobile terminal intelligent syndrome differentiation and treatment APP module is equipped with an independent integrated visual display terminal. This display terminal is a visual rendering architecture built into the APP, with a built-in dedicated interface rendering engine and independent screen output channel. The screen refresh rate is fixed at 30fps, which can adapt to mainstream mobile phone screen resolution parameters such as 1080P and 2K. The data input end of the display terminal establishes a dedicated data communication link with the data interaction and transmission unit, syndrome differentiation unit, early warning unit and dietary recommendation unit in the system, and can synchronously receive output data from various units.

[0014] Preferably, the mobile terminal intelligent diagnosis and treatment APP module is configured with a local and cloud dual backup data archiving storage module. This module is a system-exclusive data storage architecture, with an independent user data storage partition, an AES-256 encrypted storage channel, and a 24-hour timed automatic backup channel. It reserves 50MB of local exclusive storage space for a single user, which can retain no less than 200 pulse detection data of the user. The module's data interface port is fixedly connected to the data output end of all functional units of the system, and has independent data read, write, and retrieval permissions. It can perform partitioned and encrypted storage of each user's health data.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: The system is equipped with a distributed, multi-point parallel acquisition flexible MEMS sensor array. The sensor units are arranged in strict accordance with the anatomical structure of the three pulse positions (cun, guan, chi) on the human wrist. It can simultaneously complete the parallel acquisition of dynamic pulse signals from multiple pulse positions. Unlike traditional single-point pulse diagnosis devices, which cannot distinguish pulse positions, have missing features, or have information confusion, the system can also adaptively adjust the sensing parameters according to different users' wrist dimensions and pulse strength. With a dual-layer data preprocessing mechanism of hardware filtering and software fine optimization, it can effectively filter out various noises such as power frequency interference, baseline drift, and signal spikes. It can completely eliminate data deviations caused by device wearing, limb shaking, individual physical condition, and environmental differences. Finally, it outputs a standardized pulse data matrix with uniform dimensions and horizontal comparability, realizing the complete capture of pulse spatial distribution, temporal fluctuations, and local differences. This transforms the traditional subjective and vague TCM pulse diagnosis into digital and precise objective data, providing a solid and reliable data foundation for subsequent diagnosis and treatment. Attached Figure Description

[0016] Figure 1 A block diagram of the intelligent system for diagnosis and treatment based on pulse data provided in this application. Detailed Implementation

[0017] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0018] The intelligent system for diagnosis and treatment based on pulse data includes a hardware module for pulse signal acquisition and processing and an intelligent diagnosis and treatment APP module for mobile terminals. The APP module and the hardware module are wirelessly connected and data-communication connected. The pulse signal acquisition and processing hardware module is a medical pulse diagnosis device equipped with a flexible MEMS sensor array. It is used to collect pulse information of the nine positions of the three parts of the wrist (cun, guan, chi) and output a standardized pulse data matrix including pulse position, pulsation rate, strength, smoothness, vascular tension and pulse shape characteristics. The mobile terminal intelligent diagnosis and treatment APP module integrates a human-computer interaction consultation unit, a data interaction and transmission unit, a pulse and symptom fusion intelligent diagnosis unit, a health risk classification and early warning unit, and a personalized dietary treatment recommendation unit. The human-computer interaction consultation unit supports text and voice interaction, supports uploading tongue images from mobile phones, and collects tongue image and systemic symptom information. The data interaction and transmission unit is used to interface with pulse diagnosis hardware devices to receive and store standardized pulse data matrices. The pulse and symptom fusion intelligent diagnosis unit has a built-in visceral diagnosis question bank, tongue image matching bank, traditional Chinese medicine matching bank and weighted fusion operation logic. It combines pulse image, tongue image and subjective symptoms to output TCM syndrome type and simultaneously output corresponding TCM reference plan. The health risk classification and early warning unit classifies health risk levels based on the diagnosis results, has a high-risk pulse condition medical reminder function, and can output home conditioning solutions for sub-healthy states with imbalance of organs, qi and blood. The personalized dietary conditioning recommendation unit has built-in data on food characteristics, dietary taboos, and seasonal health preservation. It can generate and display personalized health preservation recipes that are suitable for the user's constitution based on the pulse diagnosis results.

[0019] Furthermore, the flexible MEMS sensing array is configured as a three-segment independent sensing structure, precisely positioned corresponding to the three pulse diagnosis points of the human wrist: cun, guan, and chi. The entire sensing array is made of a highly elastic flexible adhesive substrate with a thickness controlled between 0.2mm and 0.4mm. The substrate surface is uniformly arranged with matrix-style micro-protrusion sensing contacts. Each sensing segment integrates 48 sets of high-precision sensing chips. This structure can adaptively conform to the irregular curved surface of the human wrist, unaffected by differences in wrist size or bone protrusion. The three sensing segments operate independently without signal interference. Each sensing segment is equipped with an independent signal acquisition channel and an independent signal output port. Each segment sensor uniformly adopts a sampling accuracy of 0.01kPa and a fixed sampling frequency of 120Hz, and can independently acquire the pulsation signal of the corresponding pulse position, realizing the synchronous acquisition of pulse signals in the three parts and nine positions, avoiding data deviation and omission caused by single-point acquisition.

[0020] Furthermore, the pulse signal acquisition and processing hardware module is equipped with a dedicated embedded data preprocessing unit. This unit is a dedicated processing architecture with hardware-fixed structure. The unit integrates a hardware-level signal noise reduction module, a data cleaning module, and a normalization and quantization module. Each module is a hardware-fixed circuit structure with a clear division of labor and coordinated connection to the output end of the original pulse signal. The noise reduction module is equipped with a dedicated 50Hz power frequency filter circuit, which can effectively shield the mains power frequency interference in the daily environment. The data cleaning module sets a fixed ±3σ distortion threshold criterion. The normalization and quantization module is uniformly configured with a 0-100 pulse parameter quantization range, which can directly complete the centralized processing of the original pulse electrical signal of the front-end sensor array at the hardware level. It can perform clutter filtering, invalid distortion data removal, and unified quantization and calibration of pulse parameters on the acquired original pulse signal, so that the pulse data of different acquisition environments and different acquisition time periods are unified into a standard matrix format, ensuring data consistency and adaptability.

[0021] Furthermore, the data interaction transmission unit is equipped with a BLE 5.0 low-power Bluetooth wireless communication module. The module features a dedicated RF communication chip and an independent high-gain signal transmission antenna, achieving a stable and effective indoor transmission distance of up to 8 meters. It adopts a one-to-one dedicated binding and pairing communication mode between the hardware and the mobile terminal, ensuring unique device matching and avoiding signal crosstalk issues caused by multiple devices working simultaneously. The module internally features a 256KB independent data cache stack, a data packet sorting structure, and a hardware-level data verification subroutine architecture. It is equipped with independent data receiving and output ports, with a maximum single packet transmission data volume of 512 bytes. It can establish a dedicated data transmission channel with various functional units within the APP, enabling real-time transmission and reception of pulse data packets, temporary caching, integrity verification, and automatic interception of garbled, missing, and abnormal data packets, ensuring the stability and integrity of data transmission between the hardware and the mobile APP.

[0022] Furthermore, the visceral diagnosis question bank built into the pulse-symptom fusion intelligent diagnosis unit is a system-fixed hierarchical and partitioned storage database architecture. The question bank completes a two-level hierarchical storage layout according to visceral categories and pathological signs. The first-level independent storage partition is divided into the heart, liver, spleen, lung, kidney and the six viscera, and the second-level subdivision storage partition is divided into the imbalance of qi and blood, yin and yang imbalance, cold and heat deviation, and deficiency and excess pathology. Each partition is stored independently and the data is interconnected. The question bank has 260 fixed symptom entries. The human-computer interaction diagnosis unit communicates with the visceral diagnosis question bank and the tongue image matching database. It has a built-in tongue image analysis algorithm, which recognizes the tongue color, tongue coating and tongue shape by taking pictures with a mobile phone, and collects the user's sleep, bowel movements and other systemic symptoms such as general discomfort through text and voice channels.

[0023] Furthermore, the pulse-symptom fusion intelligent diagnosis unit is equipped with an independent multi-dimensional weight matching module. The module is a built-in dedicated functional architecture of the system. The module has a pre-stored fixed parameter weight configuration data table that cannot be tampered with. The weight of objective pulse data is uniformly set to 0.7 and the weight of subjective symptom data is set to 0.3. Dedicated weight parameters are configured for the two types of data fields respectively. The module builds an independent data fusion calculation channel to fuse pulse, tongue image, and user symptom data to complete the syndrome determination. The traditional Chinese medicine matching library stores corresponding traditional Chinese medicines, applicable scope and contraindications according to the TCM syndrome. After the syndrome matching is completed, a TCM conditioning reference plan is output.

[0024] Furthermore, the health risk grading and early warning unit has a built-in standardized risk rating database. This database adopts an independent partitioned storage structure and pre-stores threshold ranges for various abnormal pulse parameters and thresholds for the severity of different TCM syndromes. Based on the preset threshold parameters, a four-level independent risk grading architecture is built, consisting of healthy, mild sub-health, severe sub-health, and high-risk lesions. Each risk level corresponds to an independent storage partition and a dedicated data output port. The database contains 320 sets of pulse abnormality judgment parameters that fully cover the corresponding syndrome valid sample data. When the system determines that a lesion is at a high-risk level, it only pushes a medical advice prompt and no longer outputs a TCM reference plan.

[0025] Furthermore, the personalized dietary conditioning recommendation unit incorporates three independent yet interconnected core databases: a database of the properties and meridian tropism of food ingredients, a database of the user's personal dietary taboos, and a database of seasonal health preservation compatibility. All three databases utilize a local, fixed storage model. The food ingredient database includes 210 common health-preserving ingredients, fully recording core fields such as their cold / hot, warm / cool properties, meridian tropism, health benefits, suitable constitutions, and contraindications. Each database is equipped with an independent data retrieval interface and interaction channel, and a linkage and call bus structure is built between the databases. This allows for synchronous retrieval, cross-comparison, and correlation adaptation of data from multiple databases. Based on the user's current pulse reflecting cold / hot, deficiency / excess, and the state of Qi, blood, and internal organs, it can cross-match suitable ingredients, avoid contraindicated ingredients, and align with seasonal health preservation principles to form a personalized recipe matching architecture.

[0026] Furthermore, the mobile terminal intelligent diagnosis and treatment APP module is equipped with an independent integrated visual display terminal. This display terminal is a built-in visual rendering architecture of the APP, with a built-in dedicated interface rendering engine and independent screen output channel. The screen refresh rate is fixed at 30fps, which can adapt to mainstream mobile phone screen resolution parameters such as 1080P and 2K. The data input end of the display terminal establishes a dedicated data communication link with the data interaction and transmission unit, diagnosis unit, early warning unit and dietary recommendation unit in the system. It can synchronously receive output data from various units. Through the layered interface rendering structure, it realizes the display of multiple data partitions. It can classify and visualize the original pulse parameters, standardized data matrix, diagnosis results, health risk level, treatment plan and health recipes, and present them with interface switching.

[0027] Furthermore, the mobile terminal intelligent diagnosis and treatment APP module is equipped with a dual backup data archiving and storage module for local and cloud storage. This module is a dedicated data storage architecture for the system, with independent user data storage partitions, AES-256 encrypted storage channels, and 24-hour automatic backup channels. It reserves 50MB of dedicated local storage space for each user, which can retain pulse test data from no less than 200 pulse tests. The module's data interface port is fixedly connected to the data output terminals of all functional units of the system, and has independent data read, write, and retrieval permissions. It can perform partitioned and encrypted storage of each user's health data, and can retain pulse test data, diagnosis results, risk assessment records, and dietary treatment plans for a long time, thus constructing a personal health record system that is traceable throughout the process and dynamically comparable.

[0028] Those skilled in the art should understand that the discussion of any of the above embodiments is merely exemplary and is not intended to imply that the scope of protection of this application is limited to these examples; within the framework of this application, the technical features of the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other variations of different aspects of one or more embodiments of this application as described above, which are not provided in detail for the sake of brevity.

[0029] One or more embodiments in this application are intended to cover all such substitutions, modifications, and variations that fall within the broad scope of this application. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of one or more embodiments in this application should be included within the protection scope of this application.

Claims

1. A mobile app-assisted intelligent system for diagnosis and treatment based on pulse data, characterized in that: It includes a hardware module for pulse signal acquisition and processing and a mobile terminal intelligent diagnosis and treatment APP module, wherein the APP module and the hardware module are wirelessly connected and data-connected. The pulse signal acquisition and processing hardware module is a medical pulse diagnosis device equipped with a flexible MEMS sensor array, used to collect pulse information from the three positions (cun, guan, chi) of the human wrist. The mobile terminal intelligent diagnosis and treatment APP module integrates a human-computer interaction consultation unit, a data interaction and transmission unit, a pulse and symptom fusion intelligent diagnosis unit, a health risk classification and early warning unit, and a personalized dietary treatment recommendation unit. The human-computer interaction consultation unit supports text and voice interaction, supports uploading tongue images from mobile phones, and collects tongue image and systemic symptom information. The data interaction and transmission unit is used to interface with pulse diagnosis hardware devices; The pulse and symptom fusion intelligent diagnosis unit has a built-in visceral diagnosis question bank, tongue image matching bank, traditional Chinese medicine matching bank and weighted fusion operation logic. It combines pulse image, tongue image and subjective symptoms to output TCM syndrome type and simultaneously output corresponding TCM reference plan. The health risk classification and early warning unit classifies health risk levels based on the diagnosis results and has a high-risk pulse diagnosis medical reminder function. The personalized dietary conditioning recommendation unit includes data on food characteristics, dietary restrictions, and seasonal health maintenance.

2. The intelligent system for diagnosis and treatment based on pulse data using a mobile app, as described in claim 1, is characterized in that... The flexible MEMS sensing array is configured as a three-segment independent sensing structure, precisely positioned at the three pulse diagnosis points of the human wrist: cun, guan, and chi. The entire sensing array is made of a highly elastic flexible bonding substrate with a thickness controlled between 0.2mm and 0.4mm. The substrate surface is uniformly covered with matrix-style micro-protrusion sensing contacts, and each segment of the sensing area integrates 48 sets of high-precision sensing chips. The three sensing structures operate independently without signal interference. Each segment of the sensing area is equipped with an independent signal acquisition channel and an independent signal output port. All segment sensors uniformly adopt a sampling accuracy of 0.01kPa and a fixed sampling frequency of 120Hz.

3. The intelligent system for diagnosis and treatment based on pulse data using a mobile app, as described in claim 1, is characterized in that... The pulse signal acquisition and processing hardware module is equipped with a dedicated embedded data preprocessing unit. The unit is a dedicated processing architecture that is solidified in hardware. The unit integrates a hardware-level signal noise reduction module, a data cleaning module, and a normalization and quantization module. Each module is a solidified hardware circuit structure with a clear division of labor and coordinated to connect to the original pulse signal output end. The noise reduction module is equipped with a dedicated 50Hz power frequency filter circuit; the data cleaning module is set with a fixed ±3σ distortion threshold criterion; and the normalization and quantization module is uniformly configured with a quantization range of 0-100 pulse parameters.

4. The intelligent system for diagnosis and treatment based on pulse data using a mobile app, as described in claim 1, is characterized in that... The data interaction transmission unit is equipped with a BLE5.0 low-power Bluetooth wireless communication module. The module is equipped with a dedicated radio frequency communication chip and an independent high-gain signal transmission antenna. The stable and effective indoor transmission distance can reach 8m. The module has a 256KB independent data cache stack, a data packet sorting structure, and a hardware-level data verification subroutine architecture. It is equipped with independent data receiving and output ports, and the maximum data volume of a single packet is set to 512 bytes.

5. The intelligent system for diagnosis and treatment based on pulse data using a mobile app, as described in claim 1, is characterized in that... The pulse and symptom fusion intelligent diagnosis unit has a built-in visceral diagnosis question bank with a system-fixed hierarchical and partitioned storage database architecture. Each partition stores data independently and the data is interconnected and linked. The question bank has 260 fixed symptom entries. The human-computer interaction diagnosis unit communicates with the visceral diagnosis question bank and the tongue image matching database, and has a built-in tongue image analysis algorithm.

6. The intelligent system for diagnosis and treatment based on pulse data using a mobile app, as described in claim 1, is characterized in that... The pulse and symptom fusion intelligent diagnosis unit is equipped with an independent multi-dimensional weight matching module. The module is a built-in dedicated functional architecture of the system. The module has a pre-stored fixed parameter weight configuration data table that cannot be tampered with. The weight of objective pulse data is uniformly set to 0.7 and the weight of subjective symptoms data is set to 0.

3. The module builds an independent data fusion calculation channel to fuse pulse, tongue image, and user symptoms to complete the syndrome determination.

7. The intelligent system for diagnosis and treatment based on pulse data using a mobile app, as described in claim 1, is characterized in that... The health risk grading and early warning unit has a built-in standardized risk rating database. This database adopts an independent partitioned storage structure and pre-stores various pulse abnormality parameter range thresholds and disease severity grading thresholds corresponding to different TCM syndrome types. The database contains 320 sets of pulse abnormality judgment parameters with corresponding valid sample data. When the system determines that the disease is of a high-risk level, it will only push a medical advice prompt and will no longer output a TCM reference plan.

8. The intelligent system for diagnosis and treatment based on pulse data using a mobile app, as described in claim 1, is characterized in that... The personalized dietary conditioning recommendation unit has three independent yet interconnected core databases: a database of the properties and meridian tropism of food ingredients, a database of individual dietary taboos for users, and a database of seasonal health-preserving adaptations. All three databases use a local, fixed storage mode. The food ingredient database includes 210 common health-preserving food ingredients, with complete information on their cold, hot, warm, and cool properties, meridian tropism range, and health-preserving effects.

9. The intelligent system for diagnosis and treatment based on pulse data using a mobile app, as described in claim 1, is characterized in that... The mobile terminal intelligent syndrome differentiation and treatment APP module is equipped with an independent integrated visual display terminal. This display terminal is a built-in visual rendering architecture of the APP, with a built-in dedicated interface rendering engine and independent screen output channel. The screen refresh rate is fixed at 30fps and can adapt to mainstream mobile phone screen resolution parameters such as 1080P and 2K. The data input end of the display terminal establishes a dedicated data communication link with the data interaction and transmission unit, syndrome differentiation unit, early warning unit and dietary recommendation unit in the system.

10. The intelligent system for diagnosis and treatment based on pulse data using a mobile app, as described in claim 1, is characterized in that... The mobile terminal intelligent diagnosis and treatment APP module is equipped with a dual backup data archiving and storage module in both local and cloud environments. This module is a dedicated data storage architecture for the system, with an independent user data storage partition, an AES-256 encrypted storage channel, and a 24-hour automatic backup channel. It reserves 50MB of dedicated local storage space for each user, which can retain pulse detection data from no less than 200 pulse tests. The module's data interface port is fixedly connected to the data output terminals of all functional units in the system.

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