[go: up one dir, main page]

WO2017045293A1 - Système et procédé de régulation d'alimentation basés sur des données de caractéristiques du corps humain pour un patient souffrant d'une maladie chronique - Google Patents

Système et procédé de régulation d'alimentation basés sur des données de caractéristiques du corps humain pour un patient souffrant d'une maladie chronique Download PDF

Info

Publication number
WO2017045293A1
WO2017045293A1 PCT/CN2015/098561 CN2015098561W WO2017045293A1 WO 2017045293 A1 WO2017045293 A1 WO 2017045293A1 CN 2015098561 W CN2015098561 W CN 2015098561W WO 2017045293 A1 WO2017045293 A1 WO 2017045293A1
Authority
WO
WIPO (PCT)
Prior art keywords
food
patient
image
chronic disease
chronically ill
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2015/098561
Other languages
English (en)
Chinese (zh)
Inventor
张贯京
陈兴明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Bio-Tech Academy(china) Co Ltd
Original Assignee
Bio-Tech Academy(china) Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Bio-Tech Academy(china) Co Ltd filed Critical Bio-Tech Academy(china) Co Ltd
Publication of WO2017045293A1 publication Critical patent/WO2017045293A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets

Definitions

  • the invention relates to the field of life health management, in particular to a diet control system and method for chronic disease patients based on human body characteristic data.
  • doctors In the field of health management techniques for chronically ill patients, doctors usually collect health data from patients with chronic diseases, analyze them based on these data, and then provide health guidance to patients with chronic diseases based on the results of the analysis, including guiding patients to banned food forbidden.
  • patients with chronic diseases For example, in the management of diabetes health, it is necessary to periodically record and record the patient's analyte sugar level (usually blood sugar) and the patient's eating information, and guide the patient's healthy diet according to the influence of the eating condition on the blood sugar level.
  • analyte sugar level usually blood sugar
  • the patient's eating information it is necessary to periodically record and record the patient's analyte sugar level (usually blood sugar) and the patient's eating information, and guide the patient's healthy diet according to the influence of the eating condition on the blood sugar level.
  • the main object of the present invention is to provide a diet control system and method for chronic disease patients based on human body characteristic data, which aims to solve the problem that the chronic disease patients cannot automatically recognize the taboo food of the chronic disease patient and automatically control the chronic disease patients.
  • the problem of eating taboo food is to provide a diet control system and method for chronic disease patients based on human body characteristic data, which aims to solve the problem that the chronic disease patients cannot automatically recognize the taboo food of the chronic disease patient and automatically control the chronic disease patients.
  • the problem of eating taboo food is to provide a diet control system and method for chronic disease patients based on human body characteristic data
  • the present invention provides a diet control system for a chronically ill patient based on human body characteristic data, which is applied to a terminal device integrated on a carry-on article of a chronically ill patient, the terminal device being set in a chronic disease through a communication network
  • the hospital's cloud health service platform is used for wireless communication.
  • the chronic disease patient diet control system includes:
  • a vital sign data obtaining module configured to obtain, by the communication unit of the terminal device, the vital sign information of the chronic disease patient from the vital sign database of the cloud health service platform, and determine the type of the disease of the chronic disease patient according to the physical sign information;
  • a food identification module configured to: capture, by the camera unit of the terminal device, a food image currently eaten by the chronically ill patient, and identify the food feature data by analyzing pixel values of the food image, according to the food feature data from the cloud health
  • the food database of the service platform matches the food component of the current food, and determines whether the current food consumed by the chronic disease patient is a contraindication food according to the type of the disease and the food component;
  • a diet intervention module configured to obtain an image of reducing appetite of a chronically ill patient from a memory of the terminal device when the current food consumed by the chronically ill patient is a contraindication food, and to image the image through a projection unit of the terminal device Projected onto the surface of current foods to undermine the appetite of chronically ill patients who consume taboo food.
  • the chronic disease patient diet control system further comprises a voice prompting module, wherein the voice prompting module is configured to prompt the chronically ill patient by the speaker of the terminal device when the current food of the chronic disease patient is not taboo food Feel free to eat current food.
  • the voice prompting module is configured to prompt the chronically ill patient by the speaker of the terminal device when the current food of the chronic disease patient is not taboo food Feel free to eat current food.
  • the identifying the food feature data by parsing the pixel value of the food image comprises:
  • the pixel value of the food image is parsed from the food image, and the food feature data is matched in the food sample library according to the pixel value of the food image.
  • the image of reducing appetite in a chronically ill patient is an image that affects the appetite of a chronically ill patient who consumes taboo food.
  • the vital sign data of the chronic disease patient includes blood glucose concentration of the diabetic patient, blood pressure value of the hypertensive patient, heart rate of the heart disease patient, and obesity index data of the obese patient.
  • the present invention also provides a diet control method for a chronically ill patient based on human body characteristic data, which is applied to a terminal device integrated on a carry-on article of a chronically ill patient, the terminal device through a communication network and setting Wireless communication is performed at the cloud health service platform of the chronic disease treatment hospital, and the method includes the steps of:
  • an image of reducing the appetite of the chronically ill patient is obtained from the memory of the terminal device, and the image is projected onto the surface of the current food through the projection unit of the terminal device Come up to destroy the appetite of chronically ill patients who eat taboo food.
  • the diet control method for the chronic disease patient based on the human body characteristic data further comprises the step of: when the current food eaten by the chronic disease patient is not a contraindication food, the voice of the terminal device is used to prompt the chronic disease patient to eat the current food safely. .
  • the step of identifying food feature data by parsing pixel values of the food image comprises:
  • the pixel value of the food image is parsed from the food image, and the food feature data is matched in the food sample library according to the pixel value of the food image.
  • the image of reducing appetite in a chronically ill patient is an image that affects the appetite of a chronically ill patient who consumes taboo food.
  • the vital sign data of the chronic disease patient includes blood glucose concentration of the diabetic patient, blood pressure value of the hypertensive patient, heart rate of the heart disease patient, and obesity index data of the obese patient.
  • the diet control system and method for chronic disease patients based on human body characteristic data of the present invention adopts the above technical solutions, and achieves the following technical effects:
  • the present invention is convenient by the cloud health service platform from the chronic disease treatment hospital Efficiently obtain the vital signs of chronically ill patients and collect the food images of chronically ill patients during eating, and can automatically identify the contraindications of chronically ill patients when they are eating and automatically control the chronic disease patients to ban the consumption of contraindication foods. It is more convenient and efficient to guide the healthy diet of chronically ill patients to meet the doctor's effect on chronic disease treatment.
  • FIG. 1 is a schematic diagram of an application environment of a preferred embodiment of a diet control system for a chronically ill patient based on human body characteristic data;
  • FIG. 2 is a schematic diagram showing contraindication foods and food components of a common chronic disease type recorded in a recipe database of a cloud health service platform in a diet control system for chronic disease patients based on human body characteristic data;
  • FIG. 3 is a functional block diagram of a preferred embodiment of a diet control system for a chronically ill patient based on human body characteristic data
  • FIG. 4 is a flow chart of a preferred embodiment of a diet control method for a chronically ill patient based on human body characteristic data according to the present invention.
  • FIG. 1 is a schematic diagram of an application environment of a preferred embodiment of a diet control system for a chronically ill patient based on human body characteristic data according to the present invention.
  • the chronic disease patient diet control system 10 is installed and operated on the terminal device 1.
  • the terminal device 1 When the terminal device 1 is not turned on, the terminal device 1 is in a sleep state, which is a low-radiation, low-power, non-working mode, and thus does not bring extra health to the chronically ill patients. influences.
  • the terminal device 1 is a miniaturized terminal electronic device, which can be integrated into the personal belongings of the chronically ill patients, including but not limited to glasses, hats, watches, badges and the like which are used daily by the chronically ill patients.
  • the terminal device 1 can be integrated on a dedicated wristwatch, mobile handset or personal digital processing (PDA) device.
  • the terminal device 1 performs wireless communication with the cloud health service platform 2 installed in the chronic disease treatment hospital through the communication network 3.
  • the communication network 3 is a remote wireless communication network, including but not limited to a wireless transmission network such as a GSM network, a GPRS network, or a CDMA.
  • the terminal device 1 includes, but is not limited to, a chronic disease patient diet control system 10, an imaging unit 11, a projection unit 12, a speaker 13, a communication unit 14, a microprocessor 15, and a memory 16.
  • the camera unit 11, the projection unit 12, the speaker 13, the communication unit 14, and the memory 16 are electrically connected to the microprocessor 15, respectively, and are each capable of passing through the microprocessor 15 and the chronic disease patient diet control system 10. Perform data interaction.
  • the chronic disease patient diet control system 10 is capable of being executed by the microprocessor 15 and is capable of performing a series of program instruction segments of a fixed function, which are stored in the memory 16.
  • the camera unit 11 is included as a small camera for taking food images of a chronically ill patient when eating.
  • the projection unit 12 is a small-sized image projector for projecting an image reducing the appetite of a chronically ill patient to a contraindication food of a chronically ill patient when the food consumed by the chronically ill patient is a contraindication food.
  • the speaker 13 is a woofer for playing in a voice form when the food that the chronic disease patient is currently eating is not a contraindication food, to prompt the chronically ill patient to eat the food currently eaten with confidence.
  • the communication unit 14 is a communication interface for receiving the vital sign data of the chronic disease patient and the component information of the food sent by the cloud health service platform 2.
  • the microprocessor 15 may be a microcontroller (MCU), a data processing chip, or an information processing unit having a data processing function for executing the chronic disease patient diet control system 10 to complete the feeding of the chronically ill patient. Automatic control function.
  • the memory 16 may be a read only memory ROM, an electrically erasable memory EEPROM, or a flash memory FLASH, etc., for storing program instructions and one or more pieces constituting the chronic disease patient diet control system 10.
  • the image of reducing the appetite of a chronically ill patient includes, but is not limited to, a caterpillar image or an impurity image that affects the appetite of the chronically ill patient.
  • the cloud health service platform 2 can be a file server or a computing server or the like, which includes a vitals database 21 and a recipe database 22.
  • the vital sign database 21 records vital sign data of a chronically ill patient, and the physical data includes, but is not limited to, blood glucose concentration of a diabetic patient, blood pressure value of a hypertensive patient, heart rate of a heart disease patient, obesity index data of an obese patient, and the like.
  • the doctor collects the vital sign data corresponding to the chronic disease type from the chronic disease patient, and records the vital sign data in the vital sign database 21.
  • the recipe database 22 records contraindications of various chronic disease types as well as the main components of the food.
  • the recipe database 22 of the present invention can be interfaced with all chronic disease types and recipe big data platforms via the network, so that the taboo food and food components of the common chronic disease type can be directly obtained.
  • FIG. 2 is a schematic diagram of taboo food and food components of the common chronic disease type recorded in the recipe database 22 of the cloud health service platform 2.
  • the taboo foods corresponding to the type of chronic disease such as diabetic patients, hypertensive patients, heart disease patients, and obesity patients, are exemplified, and all types of chronic diseases are not exhaustive.
  • contraindications for diabetics include, but are not limited to, fried pork chops, fried chicken and meat, cream, chocolate, honey, desserts, etc., ie: diabetics are contraindicated with high fat, high cholesterol, sugary High-volume, high-starch foods.
  • the contraindications for hypertensive patients include, but are not limited to, pork belly, bacon, sausage, onion, garlic, chili, etc., ie: hypertensive patients are contraindicated with high-fat meat, spicy foods, and high salt content. Pickled food.
  • the contraindications for heart disease include, but are not limited to, bacon, beef, sausage, chicken, chicken liver, goat liver, pig lung, pig brain, pig large intestine, etc., that is, heart disease patients are forbidden to eat spicy spicy food, food high Fat, high cholesterol foods and salted foods with high salt content.
  • Taboo foods for obese patients include, but are not limited to, fried taro, fried broiler, beans, sweet potatoes, lotus root starch, honey, chocolate, desserts, etc., that is, obesity patients are contraindicated with fat, protein, and high sugar content. food.
  • FIG. 3 is a functional block diagram of a preferred embodiment of the diet control system 10 for chronically ill patients based on human body characteristic data of the present invention.
  • the chronic disease patient diet control system 10 includes, but is not limited to, a vital sign data acquisition module 101, a food identification module 102, a diet intervention module 103, and a voice prompt module 104.
  • the module referred to in this embodiment refers to a series of computer program instruction segments that can be executed by the microprocessor 15 in the terminal device 1 and that can perform a fixed function, which is stored in the memory 16 in the terminal device 1. in.
  • the vital sign data obtaining module 101 is configured to obtain the vital sign information of the chronic disease patient from the vital sign database 21 on the cloud health service platform 2 through the communication unit 14 when the terminal device 1 is turned on, and determine the chronic disease patient according to the physical sign information.
  • Type of illness In this embodiment, the vital sign information of the chronic disease patient includes, but is not limited to, blood glucose concentration, blood pressure value, heart rate, obesity index data, and the like of the chronic disease patient.
  • the types of diseases of the chronically ill patients include, but are not limited to, diabetic patients, hypertensive patients, heart disease patients, obesity patients, and the like.
  • the food identification module 102 is configured to ingest the food image currently eaten by the chronic disease patient through the image capturing unit 11 and identify the feature data of the food image by analyzing the pixel value of the food image.
  • the camera unit 11 captures an image of a chronically ill patient eating with a tableware (such as a chopstick, a spoon or a dish)
  • the food image is immediately taken and sent to the food identification module 102.
  • first setting pixel values corresponding to each food image and associating each pixel value with the feature data of the food to establish a food sample library, and storing the food sample bank in the memory 16; when the food is recognized
  • the module 102 obtains the food image, the pixel value of the food image is parsed from the food image, and the feature data of the food is matched in the food sample library according to the pixel value of the food image. For example, set the pixel value of the cyan vegetable image to RGB (64, 24, 208), set the pixel value of the crimson meat image to RGB (220, 20, 60), and set the tan meat image.
  • the pixel value is set to RGB (210, 180, 140), the pixel value of the egg yellow egg image is set to RGB (252, 230, 201), and the pixel value of the seashell color seafood image is set to RGB (255, 245, 238) and so on.
  • RGB 210, 180, 140
  • the pixel value of the egg yellow egg image is set to RGB (252, 230, 201)
  • the pixel value of the seashell color seafood image is set to RGB (255, 245, 238) and so on.
  • the food identification module 102 is further configured to match the food component of the current food from the recipe database 22 of the cloud health service platform 2 according to the food feature data.
  • the food identification module 102 can match the meat with high fat content from the recipe database 22 according to the meat characteristic data, and can match the egg with high protein content from the recipe database 22 according to the egg characteristic data, or
  • the vegetable characteristic data matches the vegetables containing high carbohydrates from the recipe database 22.
  • the food identification module 102 is further configured to determine, according to the type of disease and the food component, whether the current food that the chronic disease patient eats is a contraindication food. For example, diabetic patients with high blood glucose levels are forbidden to eat high-sugar creams and honey, and those with high blood pressure are forbidden to eat meat with high fat content.
  • the dietary intervention module 103 is configured to obtain an image from the memory 16 for reducing the appetite of the chronically ill patient when the current food consumed by the chronically ill patient is a contraindication food, and project the image to the contraindication food through the projection unit 12.
  • the surface is used to destroy the appetite of chronically ill patients who consume taboo foods, so as to effectively control the effect of chronically ill patients with contraindicated foods and with doctors to help treat chronic diseases.
  • the voice prompting module 104 is configured to prompt the chronically ill patient to eat the current food through the speaker 13 when the current food that the chronic disease patient eats is not taboo food, thereby achieving the effect of assisting the chronic disease patient to eat healthy food safely.
  • the present invention also provides a diet control method for a chronically ill patient based on human body characteristic data, which is applied to the terminal device 1 integrated on the carry-on article of the patient, and can automatically recognize the chronic disease patient when eating.
  • the contraindications of patients with chronic diseases and automatic control of chronically ill patients are prohibited from eating taboo foods.
  • FIG. 4 is a flow chart of a preferred embodiment of a diet control method for a chronically ill patient based on human body characteristic data according to the present invention.
  • the chronic disease patient diet control method is applied to the terminal device 1, and the method includes the following steps S21 to S27.
  • Step S21 when the terminal device 1 is turned on, the vital sign data obtaining module 101 acquires the vital sign information of the chronic disease patient from the vital sign database 21 on the cloud health service platform 2 through the communication unit 14, and determines the suffering of the chronic disease patient according to the physical sign information.
  • Type of disease the vital sign information of the chronic disease patient includes, but is not limited to, blood glucose concentration, blood pressure value, heart rate, obesity index data, and the like of the chronic disease patient.
  • the types of diseases of the chronically ill patients include, but are not limited to, diabetic patients, hypertensive patients, heart disease patients, obesity patients, and the like.
  • the food identification module 102 captures the food image currently eaten by the chronically ill patient through the imaging unit 11, and identifies the characteristic data of the food by analyzing the pixel value of the food image.
  • the camera unit 11 captures an image of a chronically ill patient eating with a tableware (such as a chopstick, a spoon or a dish)
  • the food image is immediately taken and sent to the food identification module 102.
  • first setting pixel values corresponding to each food image and associating each pixel value with the feature data of the food to establish a food sample library, and storing the food sample bank in the memory 16; when the food is recognized
  • the module 102 obtains the food image, the pixel value of the food image is parsed from the food image, and the food feature data is matched in the food sample library according to the pixel value of the food image. For example, set the pixel value of the cyan vegetable image to RGB (64, 24, 208) and the crimson meat image to RGB (220, 20, 60).
  • the food identification module 102 matches the food component of the current food from the recipe database 22 of the cloud health service platform 2 according to the food feature data.
  • the food identification module 102 can match the meat with high fat content from the recipe database 22 according to the meat characteristic data, and can match the egg with high protein content from the recipe database 22 according to the egg characteristic data, or
  • the vegetable characteristic data matches the vegetables containing high carbohydrates from the recipe database 22.
  • step S24 the food identification module 102 determines whether the current food eaten by the chronic disease patient is a contraindication food according to the type of disease and the food component. For example, diabetic patients with high blood glucose levels are forbidden to eat high-sugar creams and honey, and those with high blood pressure are forbidden to eat meat with high fat content. If the food currently eaten by the chronic disease patient is a contraindication food, step S25 is performed; if the food currently eaten by the chronic disease patient is not a contraindication food, step S27 is performed.
  • step S25 the diet intervention module 103 obtains from the memory 16 an image that reduces the appetite of the chronically ill patient.
  • the image of reducing the appetite of the chronically ill patient is pre-stored in the memory 16, including a caterpillar image or an impurity image that affects the appetite of the chronically ill patient.
  • Step S26 the diet intervention module 103 projects the image onto the surface of the contraindication food through the projection unit 12 to destroy the appetite of the chronically ill patient to eat the contraindication food, thereby reaching the effective control of the chronic disease patient to eat the contraindication food and cooperating with the doctor to treat the chronic disease. effect.
  • step S27 the voice prompting module 104 uses the voice of the speaker 13 to prompt the chronically ill patient to eat the current food with confidence, thereby achieving the effect of assisting the chronically ill patient to eat healthy food with confidence.

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • Nutrition Science (AREA)
  • Business, Economics & Management (AREA)
  • General Business, Economics & Management (AREA)
  • Medical Treatment And Welfare Office Work (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Accommodation For Nursing Or Treatment Tables (AREA)

Abstract

La présente invention s'applique dans un dispositif terminal intégré à un article personnel porté par un patient souffrant d'une maladie chronique. Elle concerne un système et un procédé de régulation d'alimentation basés sur des données de caractéristiques du corps humain pour un patient souffrant d'une maladie chronique. Le procédé comprend les étapes consistant : à acquérir des informations de caractéristiques corporelles d'un patient à partir d'une base de données de caractéristiques corporelles d'une plateforme de services de santé dans le cloud par l'intermédiaire d'une unité de communication pour déterminer un type de patient ; à capturer par le biais d'une unité de prise de vues une image d'un aliment que le patient est en train de consommer et à identifier des données de caractéristiques alimentaires ; à mettre en correspondance des ingrédients alimentaires à partir d'une base de données de recettes de la plateforme de services de santé dans le cloud selon les données de caractéristiques alimentaires ; à déterminer si l'aliment consommé par le patient est un aliment interdit en fonction du type de patient et des ingrédients alimentaires ; dans la mesure où l'aliment consommé par le patient est un aliment interdit, à projeter une image destinée à réduire l'appétit du patient souffrant d'une maladie chronique sur la surface de l'aliment actuel par l'intermédiaire d'une unité de projection pour ôter au patient l'envie de consommer l'aliment interdit. L'invention peut identifier automatiquement des aliments interdits à un patient souffrant d'une maladie chronique lorsqu'il est en train de manger, exercer une régulation automatique et empêcher le patient de consommer tout aliment interdit.
PCT/CN2015/098561 2015-09-19 2015-12-24 Système et procédé de régulation d'alimentation basés sur des données de caractéristiques du corps humain pour un patient souffrant d'une maladie chronique Ceased WO2017045293A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201510599582.4A CN105286788A (zh) 2015-09-19 2015-09-19 基于人体特征数据的慢病患者饮食控制系统及方法
CN201510599582.4 2015-09-19

Publications (1)

Publication Number Publication Date
WO2017045293A1 true WO2017045293A1 (fr) 2017-03-23

Family

ID=55185123

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2015/098561 Ceased WO2017045293A1 (fr) 2015-09-19 2015-12-24 Système et procédé de régulation d'alimentation basés sur des données de caractéristiques du corps humain pour un patient souffrant d'une maladie chronique

Country Status (2)

Country Link
CN (1) CN105286788A (fr)
WO (1) WO2017045293A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116541609A (zh) * 2023-07-06 2023-08-04 北京四海汇智科技有限公司 一种用于产后康复的智能营养配餐系统及饮食管理方法

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106777882A (zh) * 2016-11-18 2017-05-31 北京郁金香伙伴科技有限公司 一种饮食提示方法及装置
CN112401846B (zh) * 2020-11-20 2021-09-21 南通市第二人民医院 一种口腔内粘膜的护理系统及方法
CN112509670B (zh) * 2020-11-27 2023-04-07 重庆电子工程职业学院 用于糖尿病的智能健康管理系统

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101776612A (zh) * 2009-12-31 2010-07-14 上海量科电子科技有限公司 利用拍摄的原理计量人体营养摄入量的方法及系统
CN103914708A (zh) * 2014-01-26 2014-07-09 冯平 基于机器视觉的食品品种检测方法及系统
CN103970998A (zh) * 2014-05-08 2014-08-06 高萍 基于慢病智慧营养干预为核心的云健康管理系统
KR20140126886A (ko) * 2013-04-24 2014-11-03 문채우 만성질환 관리를 위한 식품의 영양성분 데이터베이스 정보 통합 시스템
CN104408553A (zh) * 2014-11-13 2015-03-11 曾强 健康减肥管理系统及其管理方法

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101776612A (zh) * 2009-12-31 2010-07-14 上海量科电子科技有限公司 利用拍摄的原理计量人体营养摄入量的方法及系统
KR20140126886A (ko) * 2013-04-24 2014-11-03 문채우 만성질환 관리를 위한 식품의 영양성분 데이터베이스 정보 통합 시스템
CN103914708A (zh) * 2014-01-26 2014-07-09 冯平 基于机器视觉的食品品种检测方法及系统
CN103970998A (zh) * 2014-05-08 2014-08-06 高萍 基于慢病智慧营养干预为核心的云健康管理系统
CN104408553A (zh) * 2014-11-13 2015-03-11 曾强 健康减肥管理系统及其管理方法

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116541609A (zh) * 2023-07-06 2023-08-04 北京四海汇智科技有限公司 一种用于产后康复的智能营养配餐系统及饮食管理方法

Also Published As

Publication number Publication date
CN105286788A (zh) 2016-02-03

Similar Documents

Publication Publication Date Title
KR102420100B1 (ko) 건강 상태 정보를 제공하는 전자 장치, 그 제어 방법, 및 컴퓨터 판독가능 저장매체
US11373746B2 (en) Basal titration with adaptive target glucose level
WO2017045293A1 (fr) Système et procédé de régulation d'alimentation basés sur des données de caractéristiques du corps humain pour un patient souffrant d'une maladie chronique
US20220093234A1 (en) Systems, methods and devices for monitoring, evaluating and presenting health related information, including recommendations
EP3231362A1 (fr) Programme, procédé et dispositif d'estimation de prise de repas
JP7032072B2 (ja) 情報処理装置、情報処理方法、及びプログラム
CN105793887A (zh) 用于捕获用户的食物消耗信息的方法和系统
US20190357819A1 (en) Meal advice provision system and analysis apparatus
US11631486B2 (en) Systems and methods for optimization of bolus timing relative to meal events
US20180240543A1 (en) Information processing apparatus, method and non-transitory computer-readable storage medium
EP3479263B1 (fr) Systèmes et procédés pour l'analyse de la périodicité temporelle de données d'observance de traitement posologique par insuline
CN112685628A (zh) 一种健康信息推送方法、系统及服务器
Khanam et al. Non-contact automatic vital signs monitoring of neonates in NICU using video camera imaging
JP2002351990A (ja) 健康管理システム、健康管理方法、及びプログラム
US20250302378A1 (en) Method for monitoring the sleep of a user, and corresponding monitoring device and computer program
CN110379482A (zh) 糖尿病患者健康饮食控制装置及方法
US11464447B2 (en) Regimen adherence measure for insulin treatment based on glucose measurements and insulin pen data
KR102827338B1 (ko) 이미지 딥러닝 기반의 혈당 관리 방법 및 그 시스템
JP7256907B1 (ja) 情報処理プログラム、情報処理装置及び情報処理方法
CN114388102A (zh) 饮食推荐方法及装置和电子设备
WO2018104583A1 (fr) Moniteur de santé et de condition physique destiné à déterminer une fréquence cardiaque minimale
WO2018001854A1 (fr) Systèmes et procédés d'analyse de données d'adhérence au régime d'insuline
KR102422281B1 (ko) 피부 영상을 이용한 강인한 연속 혈당 측정 방법 및 장치
BR102023004544A2 (pt) Sistema e método para detecção de eventos de ingestão de alimento (s) a partir de dispositivos vestíveis, e, mídia de armazenamento não transitória legível por computador
KR20250011566A (ko) 식후 혈당변화 예측 방법 및 시스템

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 15903980

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 15903980

Country of ref document: EP

Kind code of ref document: A1