CN105022908A - Dietary recommendation method and system - Google Patents

Dietary recommendation method and system Download PDF

Info

Publication number
CN105022908A
CN105022908A CN201410176657.3A CN201410176657A CN105022908A CN 105022908 A CN105022908 A CN 105022908A CN 201410176657 A CN201410176657 A CN 201410176657A CN 105022908 A CN105022908 A CN 105022908A
Authority
CN
China
Prior art keywords
diet
user
heat
inventory
needed
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.)
Pending
Application number
CN201410176657.3A
Other languages
Chinese (zh)
Inventor
肖仁辉
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.)
TCL Corp
Original Assignee
TCL Corp
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 TCL Corp filed Critical TCL Corp
Priority to CN201410176657.3A priority Critical patent/CN105022908A/en
Publication of CN105022908A publication Critical patent/CN105022908A/en
Pending legal-status Critical Current

Links

Landscapes

  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The present invention discloses a diet recommendation method and system. The diet recommendation method comprises: A, acquiring various physiological parameters of a user by acquisition equipment and uploading the physiological parameters to mobile equipment; B, analyzing a physical status of the user by the mobile equipment according to the various physiological parameters, and screening a diet list according to the physical status; calculating calories further needed by the user in the day according to the relative physiological parameters and diet record input by the user; and C, calculating a needed intake amount of each type of food in the screened diet list according to the calories further needed by the user in the day and displaying the needed intake amount of each type of food in the screened diet . According to the diet recommendation method and system, forbidden foods can be eliminated according to the physical status of the user, and a more suitable diet list is provided; and meanwhile, the intake amount of each type of the food is also calculated; the balance of absorbed calories and consumed calories in a human body is guaranteed to the greatest extent, so that the balance of nutrition is ensured; surplus fat accumulation is reduced; and a healthy diet recommendation effect is realized.

Description

Dietary recommendations continued method and commending system
Technical field
The present invention relates to medical dietary technology field, particularly dietary recommendations continued method and commending system.
Background technology
Along with growth in the living standard, improvement of medical and health services, people also more and more pay close attention to the health of oneself and household.Based on the development of modern communication technology and medicine equipment, people just oneself can measure various physiological parameter without the need to going to the hospital, and monitor the health status of health at any time.Such as existing sphygmomanometer, blood glucose meter, ear thermometer, electrocardiogram equipment etc., can measure the physiological parameters such as the blood pressure of human body, blood sugar, body temperature, cardiogram; It has wired or wireless transfer function, physiological parameter can be transferred on mobile device and show.
Current hypertension, diabetic get more and more, and its dietary structure is subject to larger restriction, and much food is forbidden eating for these patients.Even if some food edible, if but exceed a certain amount of (harmless to normal person), may the state of an illness be increased the weight of; If some food intake is not enough or partial eclipse, health subalimentation can be caused again, affect healthy.In addition, many obesity patients, in order to avoid the multiple complications caused because of obesity, also need Tighter control.
Summary of the invention
In view of above-mentioned the deficiencies in the prior art part, the object of the present invention is to provide dietary recommendations continued method and commending system, can according to the condition of every physiological parameter analysis user of user, suitable diet inventory and various kinds of foods be provided need intake.
In order to achieve the above object, this invention takes following technical scheme:
A kind of dietary recommendations continued method, wherein, described dietary recommendations continued method comprises:
A, collecting device gather every physiological parameter of user, and are uploaded to mobile device;
B, mobile device, according to the condition of described every physiological parameter analysis user, screen diet inventory according to condition, also calculate according to the diet recording gauge of related physiological parameters and user's input the heat that user also needed absorption the same day;
C, the calorimeter taken in also was needed the same day to calculate needing intake and showing of various kinds of foods in the diet inventory after screening according to user.
Described dietary recommendations continued method, wherein, in described step B, mobile device according to the condition of described every physiological parameter analysis user, filter out corresponding diet inventory according to condition and specifically comprise:
B1, mobile device download diet inventory and disease taboo food table from server;
B2, normal range corresponding with it for every physiological parameter to be compared;
B3, be identified as body abnormality when physiological parameter exceeds the normal range of its correspondence, taboo food when deleting body abnormality according to disease taboo food table from diet inventory.
Described dietary recommendations continued method, wherein, in described step B2, described every physiological parameter comprises the measured value of blood pressure, blood sugar, body temperature; In described step B3, when the measured value of described blood pressure, blood sugar, body temperature exceeds the normal range of its correspondence, be identified as dysarteriotony, pathoglycemia, abnormal body temperature respectively, from diet inventory, delete taboo food when dysarteriotony, pathoglycemia, abnormal body temperature.
Described dietary recommendations continued method, wherein, in described step B, according to described physiological parameter and user input diet recording gauge calculate user needed the same day absorption heat specifically comprise:
B10, calculate according to the diet recording gauge of user's input the heat that user took in the same day;
The required basic heat of the basic metabolism that B20, described physiological parameter are the same day and physical activity institute heat requirement, needed for basic metabolism, needed for basic heat and physical activity, calorimeter calculates consumption food institute heat requirement;
B30, to calculate the heat also needing the same day to take according to body energy law of conservation.
Described dietary recommendations continued method, wherein, described step C specifically comprises:
C1, take in total amount convert corresponding number percent under a proportional relationship to by best for various kinds of foods in the diet inventory filtered out a day, wherein said proportionate relationship is described various kinds of foods one day best ratio taking in total amount;
C2, the heat taken in and described percentages was also needed the same day to calculate single class energy percentage that various kinds of foods also needs according to user:
C3, described single class energy percentage is converted to needing intake and showing of various kinds of foods.
A kind of dietary recommendations continued system, it comprises: collecting device, server and mobile device;
Described collecting device wireless connection service device, wireless or wired connection mobile device, for gathering every physiological parameter of user, and be uploaded to mobile device;
Described mobile device wireless connection service device, comprising:
Inventory screening module, for the condition according to described every physiological parameter analysis user, screens diet inventory according to condition;
Picked-up computing module, for calculating the heat that user also needed to take in the same day according to the diet recording gauge of related physiological parameters and user's input;
Heat modular converter, calculated needing intake and showing of various kinds of foods in the diet inventory after screening for also needing the calorimeter taken in the same day according to user;
Described inventory screening model calling heat modular converter and picked-up computing module, described picked-up computing module connects heat modular converter;
Described server is for sending diet inventory to mobile device.
Described dietary recommendations continued system, wherein, described inventory screening module comprises:
Acquiring unit, for downloading diet inventory and disease taboo food table from server, and receives every physiological parameter of collecting device transmission;
Screening unit, the normal range corresponding with it for the every physiological parameter transmitted by acquiring unit compares, body abnormality is identified as, taboo food when deleting body abnormality according to described disease taboo food table from described diet inventory when physiological parameter exceeds the normal range of its correspondence;
Described acquiring unit wireless connections collecting device, server and picked-up computing module, described screening unit connects acquiring unit and heat modular converter.
Described dietary recommendations continued system, wherein, described collecting device comprises: sphygmomanometer, blood glucose meter, for the ear thermometer of take temperature, for the body fat analyser of heat basic needed for Fundamentals of Measurement metabolism, and for measuring the motion bracelet of physical activity institute heat requirement.
Described dietary recommendations continued system, wherein, described picked-up computing module comprises:
Diet record cell, the diet recording gauge for inputting according to user calculates the heat that user took in the same day;
Heat treatment unit, for the same day according to inventory screening module transfer basic metabolism needed for calorimeter needed for basic heat and physical activity calculate and consume food institute heat requirement, and calculate the heat also needing the same day to take according to body energy law of conservation;
Described heat treatment unit connects diet record cell, inventory screening module and heat modular converter.
Described dietary recommendations continued system, wherein, described heat modular converter comprises:
Number percent converting unit, for number percent corresponding to the one day best total amount of taking in of various kinds of foods in the diet filtered out inventory converting under a proportional relationship, wherein said proportionate relationship is described various kinds of foods one day best ratio taking in total amount; And also needed the same day heat taken in and described percentages to calculate single class energy percentage that various kinds of foods also needs according to user;
Deal converting unit, for being converted to needing intake and showing of various kinds of foods by described single class energy percentage;
Described number percent converting unit connects deal converting unit, inventory screening module and picked-up computing module.
Compared to prior art, dietary recommendations continued method provided by the invention and commending system, every physiological parameter of user is gathered by collecting device, and be uploaded to mobile device, mobile device is according to the condition of described every physiological parameter analysis user, according to condition, diet inventory is screened, also calculate according to the diet recording gauge of related physiological parameters and user's input the heat that user also needed absorption the same day; What also needed the same day calorimeter taken in calculate various kinds of foods in diet inventory according to user needs intake; Taboo food can be rejected according to the condition of user, the diet be more suitable for inventory is provided; Also calculate the intake of various kinds of foods in the diet inventory after screening simultaneously, ensure the heat that human body absorbs and the heat balance consumed to greatest extent, thus guarantee nutrition equilibrium, decrease unnecessary Fat Accumulation, serve the recommendation effect of health diet.
Accompanying drawing explanation
The process flow diagram of the dietary recommendations continued method that Fig. 1 provides for the embodiment of the present invention.
The structured flowchart of the dietary recommendations continued system that Fig. 2 provides for the embodiment of the present invention.
Embodiment
The invention provides dietary recommendations continued method and commending system.For making object of the present invention, technical scheme and effect clearly, clearly, developing simultaneously referring to accompanying drawing, the present invention is described in more detail for embodiment.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
The invention provides dietary recommendations continued method and analyzing and processing is carried out to the physiological parameter measured, filter out the diet inventory of applicable user, the food type of user's fasting has been discharged, for user provides healthy dietary reference, to guarantee user's balanced diet according to current condition.Refer to Fig. 1, described dietary recommendations continued method comprises:
S100, collecting device gather every physiological parameter of user, and are uploaded to mobile device.
S200, mobile device, according to the condition of described every physiological parameter analysis user, screen diet inventory according to condition, also calculate according to the diet recording gauge of related physiological parameters and user's input the heat that user also needed absorption the same day.
S300, the calorimeter taken in also was needed the same day to calculate needing intake and showing of various kinds of foods in the diet inventory after screening according to user.
The physiological parameter related in the present embodiment comprises: the measured value of blood pressure, blood sugar, body temperature, and the basic metabolism on the same day required heat and physical activity institute heat requirement substantially.Wherein, the measured value of described blood pressure, blood sugar, body temperature is for analyzing the condition of user.The heat that the required basic heat of basic metabolism on the described same day and physical activity institute heat requirement also needed to take in for calculating user the same day.
During concrete enforcement, by the condition of mobile device according to described every physiological parameter analysis user, filter out corresponding diet inventory according to condition, it specifically comprises:
Step 1, mobile device download diet inventory and disease taboo food table from server;
Step 2, normal range corresponding with it for every physiological parameter to be compared;
Step 3, be identified as body abnormality when physiological parameter exceeds the normal range of its correspondence, taboo food when deleting body abnormality according to disease taboo food table from diet inventory.
Described diet inventory refers to the pyramid structure according to providing balanced diet in " Chinese residents dietary guidelines " (2011) version, that includes food species and corresponding deal thereof that people needs in one day to take in; It is mainly for most of crowd, and the food species comprised is more.Such as, people preferably takes in for one day: oil 25 ~ 30 grams, salt 6 grams, milk and dairy produce 300 grams, large beans and nut 30 ~ 50 grams, livestock and poultry meat 50 ~ 75 grams, fish and shrimp 50 ~ 100 grams, eggs 25 ~ 50 grams, greengrocery 300 ~ 500 grams, fruits 200 ~ 400 grams, cereal potato class and assorted beans 250 ~ 400 grams, 1200 milliliters, water etc.
Taboo food during Human Physiology exception is listed in described disease taboo food table.Such as, hyperpietic needs few food or does not eat sweet goods, the contour energy food of fried food.Hyperglycemic patients should not eat the food (white sugar, chocolate, jam etc.) easily making blood sugar raise and the food (butter, cream, fat meat etc.) easily making blood fat raise.The user of hyperpyrexia (namely having a fever) should not eat egg, honey, cold drink etc.
When the every physiological parameter normal range corresponding with it measured is compared, due to the normal range difference that all ages and classes, sex are corresponding.The present embodiment is before carrying out physiological parameter analysis, and namely before described step S100, mobile device is classified according to age, sex to the normal range of the physiological parameter downloaded from server in advance.User clicks the dietary recommendations continued application on mobile device, and entered the dietary recommendations continued pattern of this user by input username and password, now mobile device starts wireless connections automatically, searches for collecting device and wireless connections.Then in described step 2, when every physiological parameter is uploaded to mobile device, under directly entering the dietary recommendations continued pattern of this user.When every physiological parameter is analyzed, call corresponding normal range according to age and sex.
When the measured value of blood pressure, blood sugar, body temperature exceeds the normal range of its correspondence, be identified as dysarteriotony, pathoglycemia, abnormal body temperature, from diet inventory, delete taboo food when dysarteriotony, pathoglycemia, abnormal body temperature; Eating taboo food by mistake to avoid user causes body abnormality to increase the weight of, and affects healthy.
In the present embodiment, the mode of deleting taboo food from diet inventory adopts label method.Be specially: mobile device adopts binary number mark to various kinds of foods in diet inventory, and if oil is 01, milk and dairy produce are 1010.Also mark the disease in disease taboo food table, the mark of taboo food wherein should be identical with the mark of the corresponding kind of diet inventory.Also other modes can be adopted during concrete enforcement to mark, can master be distinguished as with program.When there is hypertension, from disease taboo food table, finding out the mark of taboo food corresponding to hypertension, from diet inventory, delete corresponding mark, corresponding taboo food can be deleted.The deletion mode of the present embodiment to taboo food is not restricted.
After the condition current according to user deletes relevant taboo food, in diet inventory, remaining food is that the best foods provided for user is selected.Often kind of food needs picked-up how many, needs to calculate according to the diet record of related physiological parameters and user's input, and it specifically comprises:
Step 10, calculate according to the diet recording gauge of user's input the heat that user took in the same day.
The diet record of user's input is food species and weight that user eaten.If user does not take food, the numerical value of the diet record inputted is 0.Namely the heat taken in the same day is the fuel value of food that user has eaten, and its account form is prior art, is not described further this herein.
The required basic heat of the basic metabolism that step 20, described physiological parameter are the same day and physical activity institute heat requirement, needed for basic metabolism, needed for basic heat and physical activity, calorimeter calculates consumption food institute heat requirement.
The required basic heat of basic metabolism is measured by existing body fat analyser, and physical activity institute heat requirement is measured by existing motion bracelet.Wherein, described consumption food institute heat requirement equal that physical activity institute heat requirement adds the required basic heat sum of basic metabolism 10.
Step 30, to calculate the heat also needing the same day to take according to body energy law of conservation.
Also needed the heat=basic metabolism required basic heat+physical activity institute heat requirement+consumption food institute heat requirement+surplus heat taken in the heat+same day taken in heat=same day that described body energy law of conservation absorbs for: the human body diet of a day is required.Wherein, described surplus heat is stored in human body with fatty form.In order to reduce the generation of fat in the present embodiment, described surplus heat optimum value is 0.The heat also needing the same day to take in can be calculated according to body energy law of conservation.
Conveniently user understands the relation also needing heat and the food servings taken in the same day, and the present embodiment carries out relation conversion by step S300; It specifically comprises:
Step 31, take in total amount convert number percent under a proportional relationship by best for various kinds of foods in the diet inventory filtered out a day, wherein said proportionate relationship is described various kinds of foods one day best ratio taking in total amount.
Such as, in the diet inventory filtered out, various kinds of foods one day best total amount of taking in is: oil 25 ~ 30 grams (selecting its intermediate value 27.5 grams), salt 6 grams, milk and dairy produce 300 grams, large beans and nut 30 ~ 50 grams (selecting its intermediate value 40 grams), livestock and poultry meat 50 ~ 75 grams (selecting its intermediate value 62.5 grams), fish and shrimp 50 ~ 100 grams (selecting its intermediate value 75 grams), eggs 25 ~ 50 grams (selecting its intermediate value 37.5 grams), greengrocery 300 ~ 500 grams (selecting its intermediate value 400 grams), fruits 200 ~ 400 grams (selecting its intermediate value 300 grams), cereal potato class and assorted beans 250 ~ 400 grams (selecting its intermediate value 325 grams), 1200 milliliters, water (discharging during calculating).
Then its proportionate relationship is, oil: salt: milk and dairy produce: large beans and nut: livestock and poultry meat: fish and shrimp: eggs: greengrocery: fruits: cereal potato class and assorted beans=27.5:6:300:40:62.5:75:37.5:400:300:325.Be converted into number percent (getting approximate value) to be:
Oil accounts for 1.8%, and salt accounts for 0.4%, and milk and dairy produce account for 19.0%, and large beans and nut account for 2.5%, and livestock and poultry meat accounts for 4.0%, and fish and shrimp account for 4.8%, and eggs account for 2.4%, and greengrocery accounts for 25.4%, and fruits account for 19.0%, and cereal potato class and assorted beans account for 20.6%.
Step 32, the heat taken in and described percentages was also needed the same day to calculate single class energy percentage that various kinds of foods also needs according to user.
For oil, the same day, oil also needed the heat taken in equal also to need the same day heat (i.e. the summation of heat) taken in be multiplied by 1.8%.
Step 33, described single class energy percentage is converted to needing intake and showing of various kinds of foods.
The formula of intake is needed to be: K=Q0/Q a, wherein, Q 0something for the same day also needs the heat taken in, Q acalorie contained by every gram of substance A.For oil, in the diet inventory of national publication, 100 grams, butter comprises the heat (selecting its intermediate value 810 to block) between 639 card ~ 982 cards, then butter can dietary amount be: .Such as:
The lard of every 15 grams comprises the heat of 115 cards, then lard can dietary amount be: .
The margarine of every 14 grams comprises the heat of 100 cards, then margarine can dietary amount be: .
The olive oil of every 14 grams comprises the heat of 120 cards, then olive oil can dietary amount be: .
The peanut oil of every 14 grams comprises the heat of 120 cards, then peanut oil can dietary amount be: .
The soybean oil of every 14 grams comprises the heat of 120 cards, then soybean oil can dietary amount be: .
The sunflower oil of every 14 grams comprises the heat of 120 cards, then sunflower oil can dietary amount be: .
Wherein, the amount taken in also is needed to be any one amount in above-mentioned oil at the oil on the same day.
By above-mentioned calculating, finally can obtain a healthy diet inventory, diet inventory demonstrates the intake (in grams) that various food also needs; Greatly facilitate user to know in the food that can eat, the maximum that various kinds of foods can also be taken in, the diet avoiding the many foods of user or partial eclipse to cause is unbalance, causes Fat Accumulation.
Based on above-mentioned dietary recommendations continued method, the present invention also proposes a kind of dietary recommendations continued system.Refer to Fig. 2, described dietary recommendations continued system comprises: collecting device 10, server 20 and mobile device 30.
Described collecting device 10 wireless connection service device 20, wireless (as bluetooth, infrared, WIFI) or wired (USB mode) connect mobile device 30, for gathering every physiological parameter of user, and upload onto the server 20 and mobile device 30.
Described mobile device 30 wireless connection service device 20, comprises inventory screening module 301, picked-up computing module 302 and heat modular converter 303.Described inventory screening module 301 connects heat modular converter 303 and picked-up computing module 302, and described picked-up computing module 302 connects heat modular converter 303.Described inventory screening module 301, according to the condition of described every physiological parameter analysis user, is screened diet inventory according to condition.Picked-up computing module 302 calculates according to the diet recording gauge of related physiological parameters and user's input the heat that user also needed absorption the same day.Heat modular converter 303 also needed the calorimeter taken in calculate needing intake and showing of various kinds of foods in diet inventory according to user the same day.
Every physiological parameter that described server 20 storage of collected equipment 10 is uploaded, and send diet inventory to mobile device 30.
Wherein, described collecting device 10 comprises: sphygmomanometer, blood glucose meter, for the ear thermometer of take temperature, for the body fat analyser of heat basic needed for Fundamentals of Measurement metabolism, and for measuring the motion bracelet of physical activity institute heat requirement.Should be understood that, each measuring equipment in collecting device 10 can increase or reduce; The physiological parameter obtained increases accordingly or reduces; The then type of physiological parameter analysis also corresponding increase or minimizing in mobile device 30, obtain condition (i.e. body abnormality situation) and suitably change, the taboo food that need delete suitably changes.The type of collecting device is independently arranged by user, and the present embodiment is not construed as limiting its type.
Described inventory screening module 301 comprises acquiring unit and screening unit.Described acquiring unit wireless connections collecting device 10 and server 20, for downloading diet inventory and disease taboo food table from server, and receive every physiological parameter of collecting device transmission.Described screening unit connects acquiring unit and heat modular converter, the normal range corresponding with it for the every physiological parameter transmitted by acquiring unit compares, body abnormality is identified as, taboo food when deleting body abnormality according to the described disease taboo food table of acquiring unit transmission from described diet inventory when physiological parameter exceeds the normal range of its correspondence.Specific works principle please refer to above-described embodiment.
Described picked-up computing module 302 comprises diet record cell and heat treatment unit.Described heat treatment unit connects diet record cell, acquiring unit and heat modular converter 303.Described diet record cell calculates according to the diet recording gauge that user inputs the heat that user took in the same day.Calorimeter needed for basic heat needed for the basic metabolism on the same day that described heat treatment unit transmits according to acquiring unit and physical activity calculates and consumes food institute heat requirement, and calculates the heat also needing the same day to take according to body energy law of conservation.Wherein, described consumption food institute heat requirement equal that physical activity institute heat requirement adds the required basic heat sum of basic metabolism 10.Described body energy law of conservation is: the heat that the required heat absorbed of the human body diet of a day equals to take in the same day adds the heat sum also needing the same day to take in, and also equals the required basic heat of basic metabolism and adds that physical activity institute heat requirement adds that consuming food institute heat requirement adds surplus heat sum.Specific works principle please refer to above-described embodiment.
Described heat modular converter 303 comprises number percent converting unit and deal converting unit, and described number percent converting unit connects deal converting unit, heat treatment unit and screening unit.Number percent converting unit is taken in total amount convert corresponding number percent under a proportional relationship to by best for various kinds of foods in the diet inventory filtered out a day, and according to single class energy percentage that user also needed the heat taken in and described percentages to calculate various kinds of foods also to need the same day.Wherein said proportionate relationship is described various kinds of foods one day best ratio taking in total amount.Described single class energy percentage is converted to needing intake and showing of various kinds of foods by deal converting unit.Specific works principle please refer to above-described embodiment.
In sum, dietary recommendations continued method provided by the invention and commending system, every physiological parameter of user is gathered by collecting device, by the condition of mobile device according to described every physiological parameter analysis user, delete taboo food during body abnormality, thus filter out the diet inventory of applicable user's current body state, for user provides healthy dietary reference; Meanwhile, also according to related physiological parameters and user input diet recording gauge calculate user also needed the same day take in heat, and in diet inventory various kinds of foods need intake; Ensure the heat that absorbs of human body and the heat balance consumed to greatest extent, thus guarantee nutrition equilibrium, decrease unnecessary Fat Accumulation, serve the recommendation effect of health diet.
Be understandable that, for those of ordinary skills, can be equal to according to technical scheme of the present invention and inventive concept thereof and replace or change, and all these change or replace the protection domain that all should belong to the claim appended by the present invention.

Claims (10)

1. a dietary recommendations continued method, is characterized in that, described dietary recommendations continued method comprises:
A, collecting device gather every physiological parameter of user, and are uploaded to mobile device;
B, mobile device, according to the condition of described every physiological parameter analysis user, screen diet inventory according to condition, also calculate according to the diet recording gauge of related physiological parameters and user's input the heat that user also needed absorption the same day;
C, the calorimeter taken in also was needed the same day to calculate needing intake and showing of various kinds of foods in the diet inventory after screening according to user.
2. dietary recommendations continued method according to claim 1, is characterized in that, in described step B, mobile device according to the condition of described every physiological parameter analysis user, filter out corresponding diet inventory according to condition and specifically comprise:
B1, mobile device download diet inventory and disease taboo food table from server;
B2, normal range corresponding with it for every physiological parameter to be compared;
B3, be identified as body abnormality when physiological parameter exceeds the normal range of its correspondence, taboo food when deleting body abnormality according to disease taboo food table from diet inventory.
3. dietary recommendations continued method according to claim 2, is characterized in that, in described step B2, described every physiological parameter comprises the measured value of blood pressure, blood sugar, body temperature; In described step B3, when the measured value of described blood pressure, blood sugar, body temperature exceeds the normal range of its correspondence, be identified as dysarteriotony, pathoglycemia, abnormal body temperature respectively, from diet inventory, delete taboo food when dysarteriotony, pathoglycemia, abnormal body temperature.
4. dietary recommendations continued method according to claim 1, is characterized in that, in described step B, according to described physiological parameter and user input diet recording gauge calculate user needed the same day absorption heat specifically comprise:
B10, calculate according to the diet recording gauge of user's input the heat that user took in the same day;
The required basic heat of the basic metabolism that B20, described physiological parameter are the same day and physical activity institute heat requirement, needed for basic metabolism, needed for basic heat and physical activity, calorimeter calculates consumption food institute heat requirement;
B30, to calculate the heat also needing the same day to take according to body energy law of conservation.
5. dietary recommendations continued method according to claim 1, is characterized in that, described step C specifically comprises:
C1, take in total amount convert corresponding number percent under a proportional relationship to by best for various kinds of foods in the diet inventory filtered out a day, wherein said proportionate relationship is described various kinds of foods one day best ratio taking in total amount;
C2, the heat taken in and described percentages was also needed the same day to calculate single class energy percentage that various kinds of foods also needs according to user:
C3, described single class energy percentage is converted to needing intake and showing of various kinds of foods.
6. a dietary recommendations continued system, is characterized in that, comprising: collecting device, server and mobile device;
Described collecting device wireless connection service device, wireless or wired connection mobile device, for gathering every physiological parameter of user, and be uploaded to mobile device;
Described mobile device wireless connection service device, comprising:
Inventory screening module, for the condition according to described every physiological parameter analysis user, screens diet inventory according to condition;
Picked-up computing module, for calculating the heat that user also needed to take in the same day according to the diet recording gauge of related physiological parameters and user's input;
Heat modular converter, calculated needing intake and showing of various kinds of foods in the diet inventory after screening for also needing the calorimeter taken in the same day according to user;
Described inventory screening model calling heat modular converter and picked-up computing module, described picked-up computing module connects heat modular converter;
Described server is for sending diet inventory to mobile device.
7. dietary recommendations continued system according to claim 6, is characterized in that, described inventory screening module comprises:
Acquiring unit, for downloading diet inventory and disease taboo food table from server, and receives every physiological parameter of collecting device transmission;
Screening unit, the normal range corresponding with it for the every physiological parameter transmitted by acquiring unit compares, body abnormality is identified as, taboo food when deleting body abnormality according to described disease taboo food table from described diet inventory when physiological parameter exceeds the normal range of its correspondence;
Described acquiring unit wireless connections collecting device, server and picked-up computing module, described screening unit connects acquiring unit and heat modular converter.
8. dietary recommendations continued system according to claim 6, is characterized in that, described collecting device comprises: sphygmomanometer, blood glucose meter, for the ear thermometer of take temperature, for the body fat analyser of heat basic needed for Fundamentals of Measurement metabolism, and for measuring the motion bracelet of physical activity institute heat requirement.
9. dietary recommendations continued system according to claim 6, is characterized in that, described picked-up computing module comprises:
Diet record cell, the diet recording gauge for inputting according to user calculates the heat that user took in the same day;
Heat treatment unit, for the same day according to inventory screening module transfer basic metabolism needed for calorimeter needed for basic heat and physical activity calculate and consume food institute heat requirement, and calculate the heat also needing the same day to take according to body energy law of conservation;
Described heat treatment unit connects diet record cell, inventory screening module and heat modular converter.
10. dietary recommendations continued system according to claim 6, is characterized in that, described heat modular converter comprises:
Number percent converting unit, for number percent corresponding to the one day best total amount of taking in of various kinds of foods in the diet filtered out inventory converting under a proportional relationship, wherein said proportionate relationship is described various kinds of foods one day best ratio taking in total amount; And also needed the same day heat taken in and described percentages to calculate single class energy percentage that various kinds of foods also needs according to user;
Deal converting unit, for being converted to needing intake and showing of various kinds of foods by described single class energy percentage;
Described number percent converting unit connects deal converting unit, inventory screening module and picked-up computing module.
CN201410176657.3A 2014-04-29 2014-04-29 Dietary recommendation method and system Pending CN105022908A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410176657.3A CN105022908A (en) 2014-04-29 2014-04-29 Dietary recommendation method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410176657.3A CN105022908A (en) 2014-04-29 2014-04-29 Dietary recommendation method and system

Publications (1)

Publication Number Publication Date
CN105022908A true CN105022908A (en) 2015-11-04

Family

ID=54412875

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410176657.3A Pending CN105022908A (en) 2014-04-29 2014-04-29 Dietary recommendation method and system

Country Status (1)

Country Link
CN (1) CN105022908A (en)

Cited By (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105511331A (en) * 2016-02-04 2016-04-20 罗建义 Intelligent kitchen system
CN105559596A (en) * 2015-12-15 2016-05-11 小米科技有限责任公司 Recommending method and device of brewed drinks
CN105662346A (en) * 2016-01-05 2016-06-15 京东方科技集团股份有限公司 Intelligent wearable device
CN105741211A (en) * 2016-01-29 2016-07-06 北京小米移动软件有限公司 Dietary data processing method, device and equipment
CN105759645A (en) * 2016-02-04 2016-07-13 罗建义 Intelligent kitchen system
CN106202859A (en) * 2016-06-24 2016-12-07 泰安市康宇医疗器械有限公司 A kind of Analysis of dietary instrument
CN106446523A (en) * 2016-08-31 2017-02-22 深圳市见康云科技有限公司 Food recommendation method and device
TWI603280B (en) * 2015-12-04 2017-10-21 財團法人工業技術研究院 System and method for analyzing ingestion of diet
CN107391947A (en) * 2017-07-31 2017-11-24 长安大学 A kind of health diet commending system and method
CN107518881A (en) * 2017-09-20 2017-12-29 合肥安华信息科技有限公司 It is a kind of intelligent health management system arranged based on data analysis
CN107610778A (en) * 2017-09-20 2018-01-19 合肥安华信息科技有限公司 A kind of intelligent health control method based on data analysis
CN107633875A (en) * 2017-09-29 2018-01-26 上海斐讯数据通信技术有限公司 A kind of intelligent eating and drinking commending system and method
CN107993702A (en) * 2016-10-26 2018-05-04 佛山市顺德区美的电热电器制造有限公司 Mother and baby's recipe recommendation method and system and smart machine
CN107993703A (en) * 2017-12-05 2018-05-04 傅峰峰 A kind of vegetable based on heat provides method and a kind of computer-readable recording medium
CN108352191A (en) * 2015-12-30 2018-07-31 株式会社I-Sens The personalized food that amount of exercise is considered for the user with diabetes recommends method
CN108352192A (en) * 2015-12-15 2018-07-31 株式会社I-Sens Recommend method for the food of user's personalization with diabetes
CN108470579A (en) * 2018-04-28 2018-08-31 蒋荣喜 Based on the administration of rehabilitation services system that clinical nutrition medical intervention is core
CN109411043A (en) * 2018-09-08 2019-03-01 天津大学 A method of recording dietary intake heat based on Intelligent data analysis
CN109473159A (en) * 2018-12-29 2019-03-15 Oppo广东移动通信有限公司 Information-pushing method and Related product
WO2019179154A1 (en) * 2018-03-19 2019-09-26 Midea Group Co., Ltd. Method and system for providing action recommendations associated with kitchen appliances
CN110853728A (en) * 2019-09-27 2020-02-28 口碑(上海)信息技术有限公司 Health recommendation information processing system and method
CN111081350A (en) * 2019-12-31 2020-04-28 青岛海尔科技有限公司 Method and device for pushing intelligent household equipment information based on user characteristics
WO2020093998A1 (en) * 2018-11-05 2020-05-14 苏州帕诺米克生物医药科技有限公司 Health management method and apparatus, and storage medium
CN111524277A (en) * 2020-04-16 2020-08-11 迪国生物高科技有限公司 Intelligent health product selling cabinet and automatic product selling method and device thereof
CN111758113A (en) * 2018-01-16 2020-10-09 哈比有限公司 Method and system for a pet health platform
CN112992315A (en) * 2021-03-10 2021-06-18 东华理工大学 On-line supervision and guidance body-building method
US11200814B2 (en) 2019-06-03 2021-12-14 Kpn Innovations, Llc Methods and systems for self-fulfillment of a dietary request
US11205140B2 (en) 2019-06-03 2021-12-21 Kpn Innovations Llc Methods and systems for self-fulfillment of an alimentary instruction set based on vibrant constitutional guidance

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102043894A (en) * 2009-10-13 2011-05-04 北京大学 Physiological data monitoring system and method
CN102283648A (en) * 2011-08-08 2011-12-21 深圳市倍泰健康测量分析技术有限公司 Network type multifunctional human body physiological parameter detector
US20120233002A1 (en) * 2011-03-08 2012-09-13 Abujbara Nabil M Personal Menu Generator
WO2012156992A2 (en) * 2011-05-13 2012-11-22 Krishna Srikanth A system and method for a personal diet management
CN103310092A (en) * 2013-03-26 2013-09-18 Tcl集团股份有限公司 Healthcare management system and method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102043894A (en) * 2009-10-13 2011-05-04 北京大学 Physiological data monitoring system and method
US20120233002A1 (en) * 2011-03-08 2012-09-13 Abujbara Nabil M Personal Menu Generator
WO2012156992A2 (en) * 2011-05-13 2012-11-22 Krishna Srikanth A system and method for a personal diet management
CN102283648A (en) * 2011-08-08 2011-12-21 深圳市倍泰健康测量分析技术有限公司 Network type multifunctional human body physiological parameter detector
CN103310092A (en) * 2013-03-26 2013-09-18 Tcl集团股份有限公司 Healthcare management system and method

Cited By (31)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI603280B (en) * 2015-12-04 2017-10-21 財團法人工業技術研究院 System and method for analyzing ingestion of diet
CN105559596A (en) * 2015-12-15 2016-05-11 小米科技有限责任公司 Recommending method and device of brewed drinks
CN108352192A (en) * 2015-12-15 2018-07-31 株式会社I-Sens Recommend method for the food of user's personalization with diabetes
CN108352191A (en) * 2015-12-30 2018-07-31 株式会社I-Sens The personalized food that amount of exercise is considered for the user with diabetes recommends method
CN105662346A (en) * 2016-01-05 2016-06-15 京东方科技集团股份有限公司 Intelligent wearable device
CN105741211A (en) * 2016-01-29 2016-07-06 北京小米移动软件有限公司 Dietary data processing method, device and equipment
CN105741211B (en) * 2016-01-29 2021-06-29 北京小米移动软件有限公司 Diet data processing method, device and equipment
CN105511331A (en) * 2016-02-04 2016-04-20 罗建义 Intelligent kitchen system
CN105759645A (en) * 2016-02-04 2016-07-13 罗建义 Intelligent kitchen system
CN106202859A (en) * 2016-06-24 2016-12-07 泰安市康宇医疗器械有限公司 A kind of Analysis of dietary instrument
CN106446523A (en) * 2016-08-31 2017-02-22 深圳市见康云科技有限公司 Food recommendation method and device
CN107993702A (en) * 2016-10-26 2018-05-04 佛山市顺德区美的电热电器制造有限公司 Mother and baby's recipe recommendation method and system and smart machine
CN107391947A (en) * 2017-07-31 2017-11-24 长安大学 A kind of health diet commending system and method
CN107610778A (en) * 2017-09-20 2018-01-19 合肥安华信息科技有限公司 A kind of intelligent health control method based on data analysis
CN107518881A (en) * 2017-09-20 2017-12-29 合肥安华信息科技有限公司 It is a kind of intelligent health management system arranged based on data analysis
CN107633875A (en) * 2017-09-29 2018-01-26 上海斐讯数据通信技术有限公司 A kind of intelligent eating and drinking commending system and method
CN107633875B (en) * 2017-09-29 2021-09-21 中食安泓(广东)健康产业有限公司 Intelligent diet recommendation system and method
CN107993703A (en) * 2017-12-05 2018-05-04 傅峰峰 A kind of vegetable based on heat provides method and a kind of computer-readable recording medium
CN111758113A (en) * 2018-01-16 2020-10-09 哈比有限公司 Method and system for a pet health platform
WO2019179154A1 (en) * 2018-03-19 2019-09-26 Midea Group Co., Ltd. Method and system for providing action recommendations associated with kitchen appliances
CN108470579A (en) * 2018-04-28 2018-08-31 蒋荣喜 Based on the administration of rehabilitation services system that clinical nutrition medical intervention is core
CN109411043A (en) * 2018-09-08 2019-03-01 天津大学 A method of recording dietary intake heat based on Intelligent data analysis
WO2020093998A1 (en) * 2018-11-05 2020-05-14 苏州帕诺米克生物医药科技有限公司 Health management method and apparatus, and storage medium
CN109473159A (en) * 2018-12-29 2019-03-15 Oppo广东移动通信有限公司 Information-pushing method and Related product
US11200814B2 (en) 2019-06-03 2021-12-14 Kpn Innovations, Llc Methods and systems for self-fulfillment of a dietary request
US11205140B2 (en) 2019-06-03 2021-12-21 Kpn Innovations Llc Methods and systems for self-fulfillment of an alimentary instruction set based on vibrant constitutional guidance
CN110853728A (en) * 2019-09-27 2020-02-28 口碑(上海)信息技术有限公司 Health recommendation information processing system and method
CN111081350A (en) * 2019-12-31 2020-04-28 青岛海尔科技有限公司 Method and device for pushing intelligent household equipment information based on user characteristics
CN111081350B (en) * 2019-12-31 2024-03-22 青岛海尔科技有限公司 Method and device for pushing intelligent household equipment information based on user characteristics
CN111524277A (en) * 2020-04-16 2020-08-11 迪国生物高科技有限公司 Intelligent health product selling cabinet and automatic product selling method and device thereof
CN112992315A (en) * 2021-03-10 2021-06-18 东华理工大学 On-line supervision and guidance body-building method

Similar Documents

Publication Publication Date Title
CN105022908A (en) Dietary recommendation method and system
US20220230730A1 (en) Recipe recommendation method and device, computing device and storage medium
Kanerva et al. Adherence to the Baltic Sea diet consumed in the Nordic countries is associated with lower abdominal obesity
Adriano et al. Healthy dietary pattern is inversely associated with non-alcoholic fatty liver disease in elderly
Burke et al. Health-related behaviours as predictors of mortality and morbidity in Australian Aborigines
JP7038458B2 (en) Programs, information processing methods and information processing equipment
WO2008001366A2 (en) Lifestyle and eating advisor based on physiological and biological rhythm monitoring
Rafferty et al. A healthy diet indicator: quantifying compliance with the dietary guidelines using the BRFSS
Maillot et al. Food pattern modeling shows that the 2010 Dietary Guidelines for sodium and potassium cannot be met simultaneously
CN108648800A (en) A kind of Intelligent bracelet of recommended dietary and the dietary recommendations continued method based on Intelligent bracelet
CN105847449B (en) One kind realizing that culinary art game and family health care monitor system based on Internet of Things
JP6164494B2 (en) Menu provision system
CN109243578A (en) Fat reducing monitoring method, apparatus and system
CN109509539A (en) A kind of eating habit health risk assessment method
Rizk et al. Perceptions of food healthiness among free-living women
JP6805079B2 (en) Menu provision system
CN211319727U (en) Intelligent family healthy diet recommendation system
CN116453652A (en) Diabetes patient food intake control method, device, computer equipment and storage medium thereof
CN110379482A (en) Diabetic's healthy diet control device and method
Drescher et al. Consumer demand for healthy eating considering diversity–an economic approach for German individuals
CN105286788A (en) System and method for controlling diet in patient of chronic disease based on human characteristic data
CN107610749B (en) Diet monitoring and management method and system
KR20200073439A (en) Personalized food service system
Ekore et al. Dietary management of diabetes: a practical approach for primary care physicians in Nigeria
CN105718707A (en) Fat reducing method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20151104

RJ01 Rejection of invention patent application after publication