Nutrition monitoring system for esophageal cancer patient

Abstract

The invention discloses a nutrition monitoring system for an esophageal cancer patient, and aims to improve the nutritional status of the patient through real-time monitoring and personalized evaluation. The system comprises a data acquisition module, a nutrition analysis module, a personalized recommendation module and a data management module. The data acquisition module collects physiological data and diet information of a patient through the intelligent wearable device and the nutrition intake recording device. And the nutrition analysis module evaluates whether the nutrition intake of the patient reaches the standard or not by utilizing a nutrition database and a data processing analysis technology, and predicts the future nutrition demand. And the personalized recommendation module provides customized diet suggestions for the patient according to the evaluation result and the expert nutrition guide. The data management module is responsible for storing and managing the nutrition information of the patient and generating a nutrition monitoring report. The system can provide comprehensive and real-time nutrition monitoring and management for esophagus cancer patients, and is beneficial to improving the treatment effect and life quality.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and in particular to a nutrition monitoring system for esophageal cancer patients. Background Art

[0002] Esophageal cancer is a common malignant tumor, and its treatment methods include surgery, radiotherapy, chemotherapy, etc. While these treatments inhibit tumor growth, they often have a negative impact on the patient's nutritional status, such as loss of appetite, difficulty swallowing, decreased digestion and absorption function, etc., leading to malnutrition. Malnutrition not only reduces the patient's quality of life, but also affects the treatment effect and prognosis. Therefore, it is particularly important to conduct effective nutritional monitoring and management of esophageal cancer patients.

[0003] At present, nutritional monitoring mainly relies on the subjective evaluation of clinicians and self-reporting of patients, lacking objective and real-time monitoring methods. In addition, due to the large individual differences in nutritional needs of esophageal cancer patients, the traditional "one-size-fits-all" nutritional support program often fails to meet the personalized needs of patients. In order to solve these problems, it is necessary to develop a system that can monitor, evaluate and provide personalized nutritional advice in real time. Summary of the invention

[0004] The purpose of the present invention is to provide a nutrition monitoring system for esophageal cancer patients.

[0005] To achieve the above object, the present invention is implemented according to the following technical solutions:

[0006] The present invention provides a nutrition monitoring system for esophageal cancer patients, comprising a data acquisition module, a nutrition analysis module, a personalized recommendation module and a data management module. The data acquisition module is worn by the patient or data is input; the data output end of the data acquisition module is connected to the data input end of the nutrition analysis module, the data output end of the nutrition analysis module is connected to the personalized recommendation module, and the data transmission end of the personalized recommendation module is connected to the data transmission end of the data management module.

[0007] Furthermore, the data acquisition module includes an intelligent wearable device for real-time monitoring of the patient's heart rate, body temperature, and weight data, and a nutrient intake recording device for recording dietary intake; the nutritional analysis module includes a nutritional database containing a detailed food nutrient composition table and a data processing and analysis module that calculates daily nutrient intake based on the patient's dietary records, analyzes whether the patient's nutrient intake meets the standard, identifies potential nutrient deficiencies or excesses, and predicts future nutritional needs based on historical data and current health conditions; the personalized recommendation module includes an algorithm for generating specific dietary recommendations based on the nutritional and health data of a large number of patients and the nutritional guidelines formulated by experts, a user interaction interface for viewing the patient's nutritional status, and a feedback module for providing feedback on one's feelings and physical reactions through the application to help the system further optimize the recommendations; the data management module stores the patient's nutritional information and physiological data; provides nutrition monitoring reports to doctors and patients, and intuitively displays the patient's nutritional trends and health conditions.

[0008] The monitoring method of the esophageal cancer patient nutrition monitoring system of the present invention comprises the following steps:

[0009] S1: The patient wears the smart wearable device and starts using a nutrition intake recording device or application;

[0010] S2: Patients record their diet daily and synchronize it to the nutrition monitoring system for esophageal cancer patients;

[0011] S3: The nutritional monitoring system for patients with esophageal cancer automatically collects, cleans, and preprocesses data;

[0012] S4: Nutritional monitoring system for esophageal cancer patients to conduct nutritional analysis, including calculation of nutritional intake, assessment of nutritional status, and prediction of future nutritional needs. ;

[0013] S5: The nutritional monitoring system for esophageal cancer patients generates personalized dietary recommendations and presents them to patients through a user interface;

[0014] S6: Patients adjusted their diet according to the recommendations and provided feedback;

[0015] S7: Nutritional monitoring system for patients with esophageal cancer optimizes recommendations based on patient feedback;

[0016] S8: Generate and update nutrition monitoring reports regularly for reference by doctors and patients.

[0017] The step S4 specifically comprises the following steps:

[0018] S41: Data collection and preprocessing: Use smart wearable devices and nutrition intake recording devices to monitor the patient's heart rate, body temperature, and weight physiological data in real time, and record dietary intake. Clean and preprocess the collected data to ensure data accuracy and availability;

[0019] S42: Nutritional intake calculation: Calculate daily nutritional intake including calories, protein, fat, carbohydrates, vitamins and minerals based on the patient's recorded dietary intake using the nutritional database;

[0020] S43: Nutritional status assessment: Analyze whether the patient's nutritional intake meets the recommended nutritional intake standards, identify potential nutritional deficiencies or excesses, and assess the patient's nutritional status using a subjective overall nutritional status assessment scale provided by the patient;

[0021] S44: Prediction of nutritional needs: Predict future nutritional needs based on the patient's historical data and current health status, including estimation of the patient's energy expenditure and prediction of the patient's additional nutritional needs that may arise from treatment;

[0022] S45: Personalized nutrition advice generation: Combining the results of nutrition analysis with nutrition guidelines developed by experts, specific dietary advice is generated for patients through recommendation algorithms, taking into account individual differences of patients, including genotype, metabolic status, and lifestyle factors, to achieve precision nutrition;

[0023] S46: User interaction and feedback: Provide a user interaction interface to allow patients to view nutritional status and personalized dietary recommendations, and collect patient feedback, compliance with dietary recommendations and physical reactions through a feedback module to optimize subsequent nutritional recommendations;

[0024] S47: Data management and reporting: Store the patient's nutritional information and physiological data in the data management module; generate nutrition monitoring reports regularly, including a visual display of nutritional trends and health status, for reference by doctors and patients;

[0025] S48: Optimization and iteration of nutritional analysis: Regularly update the nutritional database and recommendation algorithm to adapt to the latest nutritional research results and patient feedback; continuously optimize the accuracy of data processing and analysis through machine learning technology.

[0026] The beneficial effects of the present invention are:

[0027] The present invention is a nutrition monitoring system for esophageal cancer patients. Compared with the prior art, the present invention collects the patient's physiological data and dietary intake information in real time through smart wearable devices and nutrition intake recording devices, analyzes the data using a nutrition analysis module, evaluates the patient's nutritional status, and generates personalized nutrition recommendations. The main technical effects of the system include:

[0028] Real-time monitoring: Smart wearable devices can be used to monitor the patient's heart rate, body temperature, weight and other physiological parameters in real time to detect physiological changes in patients in a timely manner.

[0029] Nutritional assessment: Combine the patient's diet records and nutrition database to accurately calculate the patient's nutritional intake, compare it with the recommended nutritional intake standards, and evaluate the nutritional status.

[0030] Personalized recommendations: Provide personalized dietary advice based on the patient's nutritional assessment results and individual differences, including nutrient intake, recommended recipes, etc.

[0031] Data management: The system stores the patient's nutritional information and physiological data, making it easy for medical staff and patients to query and track nutritional status.

[0032] Optimize treatment: Improve treatment outcomes, reduce complications, and accelerate recovery by improving patients’ nutritional status. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a system structure block diagram of the present invention. DETAILED DESCRIPTION

[0034] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments. The illustrative embodiments and descriptions of the present invention are used to explain the present invention but are not intended to limit the present invention.

[0035] like Figure 1 As shown: The present invention provides a nutrition monitoring system for esophageal cancer patients, comprising a data acquisition module, a nutrition analysis module, a personalized recommendation module and a data management module. The data acquisition module is worn by the patient or data is input; the data output end of the data acquisition module is connected to the data input end of the nutrition analysis module, the data output end of the nutrition analysis module is connected to the personalized recommendation module, and the data transmission end of the personalized recommendation module is connected to the data transmission end of the data management module.

[0036] Data collection phase:

[0037] Smart wearable device configuration: Patients need to wear smart wearable devices, such as smart watches or health monitoring belts, which can monitor the patient's heart rate, body temperature, weight and other physiological data in real time.

[0038] Nutritional intake record: Patients record their daily dietary intake, including food type, quantity and intake time, through a dedicated nutritional intake recording device or application.

[0039] Data transmission and processing:

[0040] Data synchronization: Smart wearable devices and nutrition intake recording devices will synchronize the collected data to the system in real time.

[0041] Data cleaning and preprocessing: The system cleans and preprocesses the collected data to ensure the accuracy and availability of the data.

[0042] Nutritional analysis phase:

[0043] Nutrition database query: The system uses built-in detailed food nutrition table to analyze the nutritional composition of the patient's recorded diet.

[0044] Nutritional intake calculation: Based on the patient's diet record, the system calculates the daily nutritional intake and compares it with the recommended nutritional intake standards.

[0045] Nutritional status assessment: Systematically analyze whether the patient's nutritional intake is up to standard and identify potential nutritional deficiencies or overnutrition.

[0046] Future nutritional needs prediction: Based on the patient's historical data and current health status, the system predicts future nutritional needs.

[0047] Personalized recommendation stage:

[0048] Application of recommendation algorithm: The system uses the recommendation algorithm to generate personalized dietary recommendations based on the patient's nutritional status and nutritional guidelines developed by experts.

[0049] User Interface: Patients can view nutritional status and personalized dietary recommendations through the user interface.

[0050] Feedback module: Patients can use the feedback module to provide feedback to the system about their feelings and physical reactions, and the system will optimize subsequent dietary recommendations accordingly.

[0051] Data management stage:

[0052] Data storage: The system stores the patient's nutritional information and physiological data in the data management module.

[0053] Report generation: The system regularly generates nutrition monitoring reports, including a visual display of nutrition trends and health conditions.

[0054] Information sharing: The system provides an interface that allows doctors and patients to access and view nutrition monitoring reports.

[0055] Furthermore, the data acquisition module includes an intelligent wearable device for real-time monitoring of the patient's heart rate, body temperature, and weight data, and a nutrient intake recording device for recording dietary intake; the nutritional analysis module includes a nutritional database containing a detailed food nutrient composition table and a data processing and analysis module that calculates daily nutrient intake based on the patient's dietary records, analyzes whether the patient's nutrient intake meets the standard, identifies potential nutrient deficiencies or excesses, and predicts future nutritional needs based on historical data and current health conditions; the personalized recommendation module includes an algorithm for generating specific dietary recommendations based on the nutritional and health data of a large number of patients and the nutritional guidelines formulated by experts, a user interaction interface for viewing the patient's nutritional status, and a feedback module for providing feedback on one's feelings and physical reactions through the application to help the system further optimize the recommendations; the data management module stores the patient's nutritional information and physiological data; provides nutrition monitoring reports to doctors and patients, and intuitively displays the patient's nutritional trends and health conditions.

[0056] The monitoring method of the esophageal cancer patient nutrition monitoring system of the present invention comprises the following steps:

[0057] S1: The patient wears the smart wearable device and starts using a nutrition intake recording device or application;

[0058] S2: Patients record their diet daily and synchronize it to the nutrition monitoring system for esophageal cancer patients;

[0059] S3: The nutritional monitoring system for patients with esophageal cancer automatically collects, cleans, and preprocesses data;

[0060] S4: Nutritional monitoring system for esophageal cancer patients to conduct nutritional analysis, including calculation of nutritional intake, assessment of nutritional status, and prediction of future nutritional needs. ;

[0061] S5: The nutritional monitoring system for esophageal cancer patients generates personalized dietary recommendations and presents them to patients through a user interface;

[0062] S6: Patients adjusted their diet according to the recommendations and provided feedback;

[0063] S7: Nutritional monitoring system for patients with esophageal cancer optimizes recommendations based on patient feedback;

[0064] S8: Generate and update nutrition monitoring reports regularly for reference by doctors and patients.

[0065] The step S4 specifically comprises the following steps:

[0066] S41: Data collection and preprocessing: Use smart wearable devices and nutrition intake recording devices to monitor the patient's heart rate, body temperature, and weight physiological data in real time, and record dietary intake. Clean and preprocess the collected data to ensure data accuracy and availability;

[0067] S42: Nutritional intake calculation: Calculate daily nutritional intake including calories, protein, fat, carbohydrates, vitamins and minerals based on the patient's recorded dietary intake using the nutritional database;

[0068] S43: Nutritional status assessment: Analyze whether the patient's nutritional intake meets the recommended nutritional intake standards, identify potential nutritional deficiencies or excesses, and assess the patient's nutritional status using a subjective overall nutritional status assessment scale provided by the patient;

[0069] S44: Prediction of nutritional needs: Predict future nutritional needs based on the patient's historical data and current health status, including estimation of the patient's energy expenditure and prediction of the patient's additional nutritional needs that may arise from treatment;

[0070] S45: Personalized nutrition advice generation: Combining the results of nutrition analysis with nutrition guidelines developed by experts, specific dietary advice is generated for patients through recommendation algorithms, taking into account individual differences of patients, including genotype, metabolic status, and lifestyle factors, to achieve precision nutrition;

[0071] S46: User interaction and feedback: Provide a user interaction interface to allow patients to view nutritional status and personalized dietary recommendations, and collect patient feedback, compliance with dietary recommendations and physical reactions through a feedback module to optimize subsequent nutritional recommendations;

[0072] S47: Data management and reporting: Store the patient's nutritional information and physiological data in the data management module; generate nutrition monitoring reports regularly, including a visual display of nutritional trends and health status, for reference by doctors and patients;

[0073] S48: Optimization and iteration of nutritional analysis: Regularly update the nutritional database and recommendation algorithm to adapt to the latest nutritional research results and patient feedback; continuously optimize the accuracy of data processing and analysis through machine learning technology.

[0074] Example:

[0075] System deployment: Deploy smart wearable devices, such as smart watches, among esophageal cancer patients to monitor patients' heart rate, body temperature, weight and other physiological parameters in real time. Provide nutrition intake recording devices or applications for patients to record their daily food intake.

[0076] Data collection: Patients wear smart wearable devices every day, and the system automatically collects physiological data. Patients use the application to record their diet, including food types, intake, and intake time.

[0077] Data synchronization and preprocessing: The collected data is synchronized to the system server in real time. The system cleans the data, excludes abnormal values ​​and erroneous data, and ensures data quality.

[0078] Nutritional intake calculation: The system calculates daily intake of calories, protein, fat, carbohydrates, vitamins and minerals based on the patient's recorded dietary data and the built-in nutrition database.

[0079] Nutritional status assessment: Use the PG-SGA scale to assess the nutritional status of patients. The system automatically analyzes whether the patient's nutritional intake meets the recommended standards and identifies the risk of undernutrition or overnutrition.

[0080] Nutritional needs prediction: Based on the patient's historical nutritional intake data, physiological data and treatment plan, predict the patient's nutritional needs in the future. Take into account the individual differences of patients, such as genotype, metabolic status, lifestyle, etc., and adjust the nutritional needs prediction.

[0081] Personalized nutritional advice: Based on the results of nutritional analysis and expert nutritional guidelines, the system generates personalized dietary advice for patients through a recommendation algorithm. The advice includes the daily intake of various nutrients, recommended recipes, and dietary schedules.

[0082] User interaction and feedback: Patients can view nutritional status assessment results and personalized dietary recommendations through the user interaction interface. Patients can provide feedback on their compliance with dietary recommendations and their physical reactions, and the system records these feedbacks for optimization.

[0083] Data management and reporting: The system stores the patient's nutritional information and physiological data to ensure data security and privacy. Nutrition monitoring reports are generated regularly to intuitively display the patient's nutritional trends and health status.

[0084] System optimization and iteration: The system regularly updates the nutrition database and incorporates the latest nutrition research results. The recommendation algorithm and user interface are continuously optimized based on patient feedback and system usage.

[0085] Effect evaluation:

[0086] After three months of implementation, the nutritional status of patients before and after the implementation of the system was compared to evaluate the effectiveness of the system. Feedback from medical staff and patients was collected to evaluate the ease of use and acceptance of the system. Based on the evaluation results, necessary adjustments and optimizations were made to the system.

[0087] Through the above embodiments, the nutritional monitoring system for esophageal cancer patients can provide comprehensive nutritional assessment and management for patients, help improve the nutritional status of patients, and enhance the treatment effect and quality of life.

[0088] The technical solution of the present invention is not limited to the above-mentioned specific embodiments. All technical variations made according to the technical solution of the present invention fall within the protection scope of the present invention.

Claims

1. A nutritional monitoring system for esophageal cancer patients, characterized by: It includes a data acquisition module, a nutrition analysis module, a personalized recommendation module and a data management module. The data acquisition module is connected to the data input end of the nutrition analysis module through the patient's wearing or data entry; the data output end of the data acquisition module is connected to the data input end of the nutrition analysis module, the data output end of the nutrition analysis module is connected to the personalized recommendation module, and the data transmission end of the personalized recommendation module is connected to the data transmission end of the data management module.

2. The nutritional monitoring system for esophageal cancer patients according to claim 1, characterized in that: The data acquisition module includes a smart wearable device for real-time monitoring of the patient's heart rate, body temperature, and weight data, and a nutrient intake recording device for recording dietary intake; The nutrition analysis module includes a nutrition database containing detailed food nutrition composition tables and a data processing and analysis module that calculates daily nutrition intake based on the patient's diet records, analyzes whether the patient's nutrition intake meets the standard, identifies potential nutritional deficiencies or excesses, and predicts future nutrition needs based on historical data and current health conditions; the personalized recommendation module includes an algorithm for generating specific dietary recommendations based on nutrition and health data of a large number of patients and nutrition guidelines formulated by experts, a user interaction interface for viewing the patient's nutritional status, and a feedback module for providing feedback on one's feelings and physical reactions through the application to help the system further optimize the recommendations; the data management module stores the patient's nutrition information and physiological data; and provides nutrition monitoring reports to doctors and patients, visually displaying the patient's nutrition trends and health conditions.

3. A monitoring method of the nutritional monitoring system for esophageal cancer patients as claimed in claim 2, characterized in that: The following steps are involved: S1: The patient wears the smart wearable device and starts using a nutrition intake recording device or application; S2: Patients record their diet daily and synchronize it to the nutrition monitoring system for esophageal cancer patients; S3: The nutritional monitoring system for patients with esophageal cancer automatically collects, cleans, and preprocesses data; S4: Nutritional monitoring system for esophageal cancer patients to conduct nutritional analysis, including calculation of nutritional intake, assessment of nutritional status, and prediction of future nutritional needs. ; S5: The nutritional monitoring system for esophageal cancer patients generates personalized dietary recommendations and presents them to patients through a user interface; S6: Patients adjusted their diet according to the recommendations and provided feedback; S7: Nutritional monitoring system for patients with esophageal cancer optimizes recommendations based on patient feedback; S8: Generate and update nutrition monitoring reports regularly for reference by doctors and patients.

4. The monitoring method of the esophageal cancer patient nutrition monitoring system according to claim 3, characterized in that: The step S4 specifically comprises the following steps: S41: Data collection and preprocessing: Use smart wearable devices and nutrition intake recording devices to monitor the patient's heart rate, body temperature, and weight physiological data in real time, and record dietary intake. Clean and preprocess the collected data to ensure data accuracy and availability; S42: Nutritional intake calculation: Calculate daily nutritional intake including calories, protein, fat, carbohydrates, vitamins and minerals based on the patient's recorded dietary intake using the nutritional database; S43: Nutritional status assessment: Analyze whether the patient's nutritional intake meets the recommended nutritional intake standards, identify potential nutritional deficiencies or excesses, and assess the patient's nutritional status using a subjective overall nutritional status assessment scale provided by the patient; S44: Prediction of nutritional needs: Predict future nutritional needs based on the patient's historical data and current health status, including estimation of the patient's energy expenditure and prediction of the patient's additional nutritional needs that may arise from treatment; S45: Personalized nutrition advice generation: Combining the results of nutrition analysis with nutrition guidelines developed by experts, specific dietary advice is generated for patients through recommendation algorithms, taking into account individual differences of patients, including genotype, metabolic status, and lifestyle factors, to achieve precision nutrition; S46: User interaction and feedback: Provide a user interaction interface to allow patients to view nutritional status and personalized dietary recommendations, and collect patient feedback, compliance with dietary recommendations and physical reactions through a feedback module to optimize subsequent nutritional recommendations; S47: Data management and reporting: Store the patient's nutritional information and physiological data in the data management module; generate nutrition monitoring reports regularly, including a visual display of nutritional trends and health status, for reference by doctors and patients; S48: Optimization and iteration of nutritional analysis: Regularly update the nutritional database and recommendation algorithm to adapt to the latest nutritional research results and patient feedback; continuously optimize the accuracy of data processing and analysis through machine learning technology.

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