CN114255567A - Health data viewing system and method based on intelligent wearable device positioning - Google Patents
Health data viewing system and method based on intelligent wearable device positioning Download PDFInfo
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Abstract
The invention relates to the field of intelligent wearable equipment, and particularly discloses a health data viewing system and method based on intelligent wearable equipment positioning, wherein the health data viewing system comprises a health data collecting end, a health data analyzing end and a health data analyzing end, wherein the health data collecting end is in communication connection with the health data analyzing end; the health data collection end comprises a motion state detection module, a heart rate detection module, a blood pressure detection module, a first processor and a first communication module. The health data analysis end comprises a food collection unit, a medicine collection unit, a second processor, a second communication module, a positioning module and an information feedback module. The intelligent wearable device and the intelligent mobile phone are matched for use, and positioning is achieved through the intelligent mobile phone, so that a positioning chip can be omitted from the intelligent wearable device, the production cost of the intelligent wearable device is reduced, and positioning is achieved more accurately through the intelligent mobile phone. Utilize intelligent wearing equipment to detect motion state information, heart rate value and blood pressure value, convenient and fast.
Description
Technical Field
The invention relates to a health data viewing system, in particular to a health data viewing system and method based on intelligent wearable device positioning, and belongs to the field of intelligent wearable devices.
Background
A positioning system is an interrelated ensemble or set of devices (components) that are targeted to determine spatial location. The system can ensure that at least 4 satellites can be observed at any point on the earth at any time, so that the satellite can acquire the longitude and latitude and the height of the observation point, functions of navigation, positioning, time service and the like can be realized, and the requirement on the signal intensity of a positioning chip is high. The existing smart phone can only share a real-time position, health data of friends cannot be accurately checked, a GPS chip used by an electronic product capable of detecting body health data is expensive, weak in signal and limited in actual use.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a health data viewing system and method based on intelligent wearable device positioning.
The purpose of the invention can be realized by the following technical scheme:
a health data viewing system based on intelligent wearable device positioning comprises a health data collecting end, wherein the health data collecting end is in communication connection with a health data analyzing end;
the health data collection end comprises a motion state detection module, a heart rate detection module, a blood pressure detection module, a first processor and a first communication module;
the motion state detection module is used for detecting the motion state of a human body and transmitting the detected motion state information to the first processor; the heart rate detection module is used for detecting the heart rate of a human body and transmitting the detected heart rate value to the first processor; the blood pressure detection module is used for detecting the blood pressure of a human body and transmitting the detected blood pressure value to the first processor; the first processor is used for receiving the detected human motion state information, the heart rate value and the blood pressure value and transmitting the received human motion state information, the heart rate value and the blood pressure value to the health data analysis end through the first communication module;
the health data analysis end comprises a food collection unit, a medicine collection unit, a second processor, a second communication module, a positioning module and an information feedback module;
the food collecting unit is used for acquiring the type information of the eaten food and transmitting the type information of the eaten food to the second processor; the medicine collecting unit is used for acquiring the type information of the medicine to be eaten and transmitting the type information of the medicine to be eaten to the second processor; the second processor receives the information transmitted by the health data collecting end through the second communication module, and transmits the information transmitted by the health data collecting end, the information acquired by the food collecting unit and the medicine collecting unit and the position information acquired by the positioning module to the information feedback module, and the information feedback module is used for displaying the information received by the second processor.
Optionally, the health data collecting end further includes a first storage module, and the first storage module is configured to store the heart rate value, the blood pressure value, and the exercise state information received by the first processor.
Optionally, the health data analysis end further includes a second storage module, and the second storage module is configured to store information received by the second processor and a preset database required by the second processor during operation.
Optionally, the food collecting unit comprises a food type obtaining module, a food type identifying module, a food type comparing module and a food consumption amount reminding module;
the food type acquisition module is used for collecting pictures of food to be eaten, the food type identification module is used for identifying food types on the pictures collected by the food type acquisition module and naming the identified food according to the types, and unidentified food or food with wrong identification is named based on manual instructions;
the food type comparison module compares the named food types with the food types in the preset recipe, screens out the foods which do not appear in the preset recipe in the identified food types to obtain a comparison result, and transmits the comparison result to the second processor;
the food eating amount reminding module gives the once eating amount of the specific type of food based on the comparison result obtained by the food type comparison module and the preset food eating amount rule, and transmits the once eating amount to the second processor.
Optionally, the medicine collecting unit comprises a disease setting module, a medicine type obtaining module, a medicine type identifying module, a medicine type comparing module, a medicine taking setting module and a medicine taking reminding module;
the disease setting unit records and adds the disease information suffered by the patient, and the recorded and added disease information is transmitted to the second processor;
the medicine type acquisition module is used for collecting pictures of the external packages of the medicines to be taken, the medicine type identification module is used for identifying the medicine types on the pictures collected by the medicine type acquisition module and naming the identified medicines according to the types, and the unidentified medicines or the medicines with errors are named based on manual instructions;
the drug type comparison module compares the named drug types with the drug types in the preset drug spectrum, screens out the drugs which do not appear in the preset drug spectrum in the identified drug types to obtain a comparison result, and transmits the comparison result to the second processor;
the medicine taking setting module records and adds medicine information required to be taken, the medicine information comprises the name of the medicine, the taking time, the taking times and the taking dosage, and the recorded and added medicine information is transmitted to the second processor;
the medicine taking reminding module reminds the user of taking the medicines according to the information of the added medicines, and warns the medicines which cannot be taken based on the comparison result obtained by the medicine type comparison module.
Optionally, the preset drug spectrum is set based on the drug spectrum for treating the existing diseases and the disease information input by the disease setting module, the drug spectrum for treating the existing diseases is acquired and stored, each disease corresponds to one existing treatment drug spectrum, and if only one kind of disease information exists, the treatment drug spectrum corresponding to the disease is the preset drug spectrum; if the information of a plurality of diseases exists, the treatment drug spectrums corresponding to each disease are combined to form the preset drug spectrum.
Optionally, the preset recipe is set based on the entered and added disease information, the preset recipe and an existing dish list, and the preset recipe can be obtained by removing the entered and added disease information and the food types prohibited from being eaten corresponding to the preset recipe from the food types on the existing dish list.
Optionally, the setting of the food consumption rule comprises the following steps:
the method comprises the following steps: marking a plurality of foods which are not eaten excessively and correspond to diseases as P1, P2 and P3.. Pn respectively based on a preset recipe;
step two: marking a plurality of foods which are not eaten excessively and correspond to the medicines as M1, M2 and M3... Mn respectively based on a preset medicine spectrum;
step three: obtaining food which is not eaten excessively and coexists with diseases and medicines by using a formula (P1, P2, P3.. Pn) _ (M1, M2, M3.. Mn) = (N1, N2.... Nx);
taking the minimum value of the amount of the food which is not eaten excessively and coexists in a plurality of diseases as the standard of the amount of the food, taking the minimum value of the amount of the food which is not eaten excessively and coexists in a plurality of medicines as the standard of the amount of the food, and taking the corresponding minimum value of the amount of the food in each food (N1, N2.
A health data viewing method based on intelligent wearable device positioning comprises a viewing system; and the viewing method comprises the following steps:
s1: the motion state detection module detects the motion state of a human body and transmits the detected motion state information to the first processor; the heart rate detection module is used for detecting the heart rate of a human body and transmitting the detected heart rate value to the first processor; the blood pressure detection module is used for detecting the blood pressure of a human body and transmitting the detected blood pressure value to the first processor; the human motion state information, the heart rate value and the blood pressure value are transmitted to the health data analysis end through the first communication module;
s2: through second communication module and second treater communication connection, look over the locating information who acquires the locating module and acquire through information feedback module, the food photo that the food collecting unit acquireed and the name of food in the photo, the picture of waiting to take medicine external packaging and the name of medicine and human motion state information, heart rate value and blood pressure value that the medicine collecting unit acquireed.
The invention has the beneficial effects that:
1. the intelligent wearable device and the intelligent mobile phone are matched for use, and positioning is achieved through the intelligent mobile phone, so that a positioning chip can be omitted from the intelligent wearable device, the production cost of the intelligent wearable device is reduced, and positioning is achieved more accurately through the intelligent mobile phone. Utilize intelligent wearing equipment to detect motion state information, heart rate value and blood pressure value, convenient and fast. The carrying is convenient, the operation is simple, and the appearance is fashionable and beautiful; the health data of friends can be shared in real time; the health condition and the positioning information of the friend can be remotely checked. The health condition and the positioning information of the friends can be known at any time and any place.
2. And the user can carry out the judgement of food and medicine according to the function that the smart mobile phone was predetermine in use, and what food can eat simultaneously can accurate the knowing, and the volume of eating. Which medicines can not be taken, and the medicines which need to be taken can be reminded in time.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a system diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a health data viewing system based on intelligent wearable device positioning includes a health data collecting end, which is in communication connection with a health data analyzing end; the health data collection end is positioned in the intelligent wearable device, the health data analysis end is positioned in the intelligent receiver and is downloaded to the intelligent mobile phone in an APP mode, and the health data collection end and the health data analysis end are in communication connection in one or more modes of Bluetooth, 2G, 3G, 4G, 5G and the like;
the health data collection end comprises a motion state detection module, a heart rate detection module, a blood pressure detection module, a first processor and a first communication module;
the motion state detection module is used for detecting the motion state of a human body and transmitting the detected motion state information to the first processor; the heart rate detection module is used for detecting the heart rate of a human body and transmitting the detected heart rate value to the first processor; the blood pressure detection module is used for detecting the blood pressure of a human body and transmitting the detected blood pressure value to the first processor; the first processor is used for receiving the detected human motion state information, the heart rate value and the blood pressure value and transmitting the received human motion state information, the heart rate value and the blood pressure value to the health data analysis end through the first communication module; motion state detection module, rhythm of the heart detection module, blood pressure detection module, first treater and first communication module are the module commonly used among the current intelligent wearing equipment, for prior art's utilization. The motion state information, the heart rate value and the blood pressure value of the wearer are detected through the intelligent wearable device, and the influence factors of the change of the heart rate value and the blood pressure value can be analyzed through the motion state. The reason of the movement or the self body can be eliminated, and whether the change of the heart rate value and the blood pressure value is in a dangerous state or not can be known.
The health data analysis end comprises a food collection unit, a medicine collection unit, a second processor, a second communication module, a positioning module and an information feedback module;
the food collecting unit is used for acquiring the type information of the eaten food and transmitting the type information of the eaten food to the second processor; the medicine collecting unit is used for acquiring the type information of the medicine to be eaten and transmitting the type information of the medicine to be eaten to the second processor; the second processor receives the information transmitted by the health data collecting end through the second communication module, and transmits the information transmitted by the health data collecting end, the information acquired by the food collecting unit and the medicine collecting unit and the position information acquired by the positioning module to the information feedback module, and the information feedback module is used for displaying the information received by the second processor. The APP containing the health data analysis end in the mobile phone can realize mutual addition of friends by utilizing the second communication module, so that users who are friends of each other can check the motion state information, the heart rate value and the blood pressure value of the other party through the mobile phone, and can know the position of the other party in real time. Once the heart rate value and the blood pressure value are greatly changed and the health of a human body is endangered, the position can be accurately known for timely rescue.
The positioning module is a commonly-used positioning chip in the smart phone, and positioning is realized by the smart phone, so that the positioning chip can be omitted in the intelligent wearable device, the production cost of the intelligent wearable device is reduced, and positioning is more accurate by the smart phone.
As a technical optimization scheme of the present invention, the health data collecting end further includes a first storage module, and the first storage module is configured to store the heart rate value, the blood pressure value, and the exercise status information received by the first processor.
As a technical optimization scheme of the present invention, the health data analysis end further includes a second storage module, and the second storage module is configured to store information received by the second processor and a preset database required by the second processor during operation. The preset database contains the types of the existing foods, the names of the foods, the types of the medicines, the names of the medicines, the existing medical recipes for treating diseases and the existing food recipes; foods which are contraindicated for various diseases need to be paid attention to proper amount of foods; various kinds of data are needed for taking food which needs to be prohibited and food which needs to be eaten in proper amount. The preset database can be updated in real time according to the needs so as to achieve the best use effect.
As a technical optimization scheme of the invention, the food collecting unit comprises a food type obtaining module, a food type identifying module, a food type comparing module and a food eating amount reminding module;
the food type acquisition module is used for collecting pictures of food to be eaten, the food type identification module is used for identifying food types on the pictures collected by the food type acquisition module and naming the identified food according to the types, and unidentified food or food with wrong identification is named based on manual instructions; before food is eaten, can open the APP and utilize the cell-phone to shoot it, discern the kind of food and carry out the name, make things convenient for the eater to know the name of food accurately, also provide convenience for follow-up food kind contrast of carrying on. If part of food can not be identified, manual input naming can be carried out through a mobile phone.
The food type comparison module compares the named food types with the food types in the preset recipe, screens out the foods which do not appear in the preset recipe in the identified food types to obtain a comparison result, and transmits the comparison result to the second processor; if the food which is not in the preset recipe appears in the comparison result, the food is not suitable for the eater to eat, and the adverse effect on the body is avoided. And the picture of the food which is not suitable for eating gives a prompt, and the information feedback module reminds the eater.
The food eating amount reminding module gives the once eating amount of the specific type of food based on the comparison result obtained by the food type comparison module and the preset food eating amount rule, and transmits the once eating amount to the second processor. For edible food, a reasonable edible range amount is given based on the disease condition of a human body and the condition of taking medicines, and the harm to the body caused by excessive eating is avoided.
As a technical optimization scheme of the invention, the medicine collecting unit comprises a disease setting module, a medicine type obtaining module, a medicine type identifying module, a medicine type comparing module, a medicine taking setting module and a medicine taking reminding module;
the disease setting unit records and adds the disease information suffered by the patient, and the recorded and added disease information is transmitted to the second processor; after the user's health had the disease, can be with in the disease condition inputs APP for follow-up healthy data's analysis uses, more scientific and reasonable carries out the analysis to healthy data.
The medicine type acquisition module is used for collecting pictures of the external packages of the medicines to be taken, the medicine type identification module is used for identifying the medicine types on the pictures collected by the medicine type acquisition module and naming the identified medicines according to the types, and the unidentified medicines or the medicines with errors are named based on manual instructions; before the medicine is taken, the APP can be opened, the outer package of the APP is photographed through the mobile phone, the types of the medicine are identified and named, a user can know the name of the medicine accurately, and convenience is provided for follow-up medicine type comparison. If part of the medicines cannot be identified, manual input naming can be performed through a mobile phone.
The drug type comparison module compares the named drug types with the drug types in the preset drug spectrum, screens out the drugs which do not appear in the preset drug spectrum in the identified drug types to obtain a comparison result, and transmits the comparison result to the second processor; if the medicine which is not in the preset medicine spectrum appears in the comparison result, the medicine is not suitable for taking, and the adverse effect on the body is avoided. And the picture of the medicine which is not suitable for taking gives a prompt, and the information feedback module is used for reminding the eater.
The medicine taking setting module records and adds medicine information required to be taken, the medicine information comprises the name of the medicine, the taking time, the taking times and the taking dosage, and the recorded and added medicine information is transmitted to the second processor; after the medicine information is added, the user can be reminded of taking the medicine accurately through the information feedback module at a preset time point, and forgetting to take the medicine or taking errors are avoided.
The medicine taking reminding module reminds the user of taking the medicines according to the information of the added medicines, and warns the medicines which cannot be taken based on the comparison result obtained by the medicine type comparison module. Before taking the medicine, the medicine package to be taken is shot, identified and compared to know that the medicine can not be taken, and the prescription does not conform to the preset medicine spectrum. If the prescription is not met, the medicine taking can be stopped in time.
As a technical optimization scheme of the invention, the preset drug spectrum is set based on the drug spectrum of the existing disease treatment and the disease information input and added by the disease setting module, the drug spectrum of the existing disease treatment is acquired and stored, each disease corresponds to one existing treatment drug spectrum, and if only one kind of disease information exists, the treatment drug spectrum corresponding to the disease is the preset drug spectrum; if the information of a plurality of diseases exists, the treatment drug spectrums corresponding to each disease are combined to form the preset drug spectrum. The determination of the preset drug spectrum can provide better medication assistance for the patient and avoid errors in the daily medication process.
According to the technical optimization scheme, the preset recipe is set based on the entered and added disease information, the preset recipe and the existing dish list, and the food types on the existing dish list are removed from the food types which are corresponding to the entered and added disease information and the preset recipe and are forbidden to eat, so that the preset recipe can be obtained. Food selection can be carried out according to diseases and medicines to be taken, so that a patient can know which foods can not be eaten conveniently, and effective avoidance can be carried out.
As a technical optimization scheme of the invention, the setting of the food consumption rule comprises the following steps:
the method comprises the following steps: marking a plurality of foods which are not eaten excessively and correspond to diseases as P1, P2 and P3.. Pn respectively based on a preset recipe;
step two: marking a plurality of foods which are not eaten excessively and correspond to the medicines as M1, M2 and M3... Mn respectively based on a preset medicine spectrum;
step three: obtaining food which is not eaten excessively and coexists with diseases and medicines by using a formula (P1, P2, P3.. Pn) _ (M1, M2, M3.. Mn) = (N1, N2.... Nx);
taking the minimum value of the amount of the food which is not eaten excessively and coexists in a plurality of diseases as the standard of the amount of the food, taking the minimum value of the amount of the food which is not eaten excessively and coexists in a plurality of medicines as the standard of the amount of the food, and taking the corresponding minimum value of the amount of the food in each food (N1, N2. The disease information, the preset recipe and the preset medicine recipe are utilized to scientifically and strictly analyze the eating amount of the food needing to be eaten in a proper amount, so that the amount of the food eaten by an eater at one time can be accurately reminded, and the harm to the body caused by excessive eating is avoided.
A health data viewing method based on intelligent wearable device positioning comprises a viewing system; and the viewing method comprises the following steps:
s1: the motion state detection module detects the motion state of a human body and transmits the detected motion state information to the first processor; the heart rate detection module is used for detecting the heart rate of a human body and transmitting the detected heart rate value to the first processor; the blood pressure detection module is used for detecting the blood pressure of a human body and transmitting the detected blood pressure value to the first processor; the human motion state information, the heart rate value and the blood pressure value are transmitted to the health data analysis end through the first communication module; the intelligent wearable equipment is used for detecting the motion state information, the heart rate value and the blood pressure value, so that the intelligent mobile phone end can receive the detected human body data for friends and users to check conveniently;
s2: through second communication module and second treater communication connection, look over the locating information who acquires the locating module and acquire through information feedback module, the food photo that the food collecting unit acquireed and the name of food in the photo, the picture of waiting to take medicine external packaging and the name of medicine and human motion state information, heart rate value and blood pressure value that the medicine collecting unit acquireed. Based on the existing network friend-making technology, the APP containing the health data analysis end in the mobile phone can realize mutual addition of friends by utilizing the second communication module, so that users who are friends of each other can check the motion state information, the heart rate value and the blood pressure value of the other party through the mobile phone, and can know the position of the other party in real time. Once the heart rate value and the blood pressure value are greatly changed and the health of a human body is endangered, the position can be accurately known for timely rescue. And some reasons for large changes of the heart rate value and the blood pressure value can be judged in an auxiliary way according to the taken medicines and the food, so that rescue can be better carried out.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (9)
1. A health data viewing system based on intelligent wearable device positioning comprises a health data collecting end and is characterized in that the health data collecting end is in communication connection with a health data analyzing end;
the health data collection end comprises a motion state detection module, a heart rate detection module, a blood pressure detection module, a first processor and a first communication module;
the motion state detection module is used for detecting the motion state of a human body and transmitting the detected motion state information to the first processor; the heart rate detection module is used for detecting the heart rate of a human body and transmitting the detected heart rate value to the first processor; the blood pressure detection module is used for detecting the blood pressure of a human body and transmitting the detected blood pressure value to the first processor; the first processor is used for receiving the detected human motion state information, the heart rate value and the blood pressure value and transmitting the received human motion state information, the heart rate value and the blood pressure value to the health data analysis end through the first communication module;
the health data analysis end comprises a food collection unit, a medicine collection unit, a second processor, a second communication module, a positioning module and an information feedback module;
the food collecting unit is used for acquiring the type information of the eaten food and transmitting the type information of the eaten food to the second processor; the medicine collecting unit is used for acquiring the type information of the medicine to be eaten and transmitting the type information of the medicine to be eaten to the second processor; the second processor receives the information transmitted by the health data collecting end through the second communication module, and transmits the information transmitted by the health data collecting end, the information acquired by the food collecting unit and the medicine collecting unit and the position information acquired by the positioning module to the information feedback module, and the information feedback module is used for displaying the information received by the second processor.
2. The system for viewing health data based on positioning of intelligent wearable device of claim 1, wherein the health data collection end further comprises a first storage module for storing the heart rate value, the blood pressure value and the exercise status information received by the first processor.
3. The health data viewing system based on intelligent wearable device positioning as claimed in claim 2, wherein the health data analysis end further comprises a second storage module for storing information received by the second processor and a preset database required by the second processor during operation.
4. The health data viewing system based on intelligent wearable device positioning of claim 3, wherein the food collecting unit comprises a food type obtaining module, a food type identifying module, a food type comparing module, and a food consumption amount reminding module;
the food type acquisition module is used for collecting pictures of food to be eaten, the food type identification module is used for identifying food types on the pictures collected by the food type acquisition module and naming the identified food according to the types, and unidentified food or food with wrong identification is named based on manual instructions;
the food type comparison module compares the named food types with the food types in the preset recipe, screens out the foods which do not appear in the preset recipe in the identified food types to obtain a comparison result, and transmits the comparison result to the second processor;
the food eating amount reminding module gives the once eating amount of the specific type of food based on the comparison result obtained by the food type comparison module and the preset food eating amount rule, and transmits the once eating amount to the second processor.
5. The health data viewing system based on intelligent wearable device positioning of claim 4, wherein the drug collection unit comprises a disease setting module, a drug type acquisition module, a drug type identification module, a drug type comparison module, a drug administration setting module, and a drug administration reminding module;
the disease setting unit records and adds the disease information suffered by the patient, and the recorded and added disease information is transmitted to the second processor;
the medicine type acquisition module is used for collecting pictures of the external packages of the medicines to be taken, the medicine type identification module is used for identifying the medicine types on the pictures collected by the medicine type acquisition module and naming the identified medicines according to the types, and the unidentified medicines or the medicines with errors are named based on manual instructions;
the drug type comparison module compares the named drug types with the drug types in the preset drug spectrum, screens out the drugs which do not appear in the preset drug spectrum in the identified drug types to obtain a comparison result, and transmits the comparison result to the second processor;
the medicine taking setting module records and adds medicine information required to be taken, the medicine information comprises the name of the medicine, the taking time, the taking times and the taking dosage, and the recorded and added medicine information is transmitted to the second processor;
the medicine taking reminding module reminds the user of taking the medicines according to the information of the added medicines, and warns the medicines which cannot be taken based on the comparison result obtained by the medicine type comparison module.
6. The health data viewing system based on intelligent wearable device positioning of claim 5, wherein the preset drug spectrum is set based on the drug spectrum of the existing disease treatment and the disease information entered by the disease setting module, the drug spectrum of the existing disease treatment is acquired and stored, each disease corresponds to one existing treatment drug spectrum, and if only one kind of disease information exists, the treatment drug spectrum corresponding to the disease is the preset drug spectrum; if the information of a plurality of diseases exists, the treatment drug spectrums corresponding to each disease are combined to form the preset drug spectrum.
7. The health data viewing system based on intelligent wearable device positioning as claimed in claim 6, wherein the preset recipe is set based on the entered and added disease information, the preset recipe and an existing menu of dishes, and the preset recipe can be obtained by removing the entered and added disease information and the food types prohibited from being eaten corresponding to the preset recipe from the food types on the menu of the existing dishes.
8. The health data viewing system based on intelligent wearable device positioning of claim 7, wherein the setting of the food consumption rule comprises the following steps:
the method comprises the following steps: marking a plurality of foods which are not eaten excessively and correspond to diseases as P1, P2 and P3.. Pn respectively based on a preset recipe;
step two: marking a plurality of foods which are not eaten excessively and correspond to the medicines as M1, M2 and M3... Mn respectively based on a preset medicine spectrum;
step three: obtaining food which is not eaten excessively and coexists with diseases and medicines by using a formula (P1, P2, P3.. Pn) _ (M1, M2, M3.. Mn) = (N1, N2.... Nx);
taking the minimum value of the amount of the food which is not eaten excessively and coexists in a plurality of diseases as the standard of the amount of the food, taking the minimum value of the amount of the food which is not eaten excessively and coexists in a plurality of medicines as the standard of the amount of the food, and taking the corresponding minimum value of the amount of the food in each food (N1, N2.
9. A health data viewing method based on intelligent wearable device positioning, characterized in that the viewing method comprises the viewing system as claimed in claim 8; and the viewing method comprises the following steps:
s1: the motion state detection module detects the motion state of a human body and transmits the detected motion state information to the first processor; the heart rate detection module is used for detecting the heart rate of a human body and transmitting the detected heart rate value to the first processor; the blood pressure detection module is used for detecting the blood pressure of a human body and transmitting the detected blood pressure value to the first processor; the human motion state information, the heart rate value and the blood pressure value are transmitted to the health data analysis end through the first communication module;
s2: through second communication module and second treater communication connection, look over the locating information who acquires the locating module and acquire through information feedback module, the food photo that the food collecting unit acquireed and the name of food in the photo, the picture of waiting to take medicine external packaging and the name of medicine and human motion state information, heart rate value and blood pressure value that the medicine collecting unit acquireed.
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