CN116741377A - Health target recommendation record tracking method and device based on intelligent watch - Google Patents
Health target recommendation record tracking method and device based on intelligent watch Download PDFInfo
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
- G16H10/65—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records stored on portable record carriers, e.g. on smartcards, RFID tags or CD
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
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Abstract
The invention discloses a personalized health target recommendation record tracking method and device based on a smart watch and a matched health management system, wherein the method comprises the following steps: acquiring body indexes, historical health data of a wearing user and current health data acquired by an intelligent watch through a matched APP; according to the body index, the historical health data and the current health data, calculating and recommending a health target suitable for the wearing user according to an artificial intelligence algorithm based on scientific and health theory, generating a health plan more suitable for the wearing user, and pushing the health plan to a matched APP and an intelligent watch; the intelligent watch is displayed on the watch or the APP, the intelligent watch collects and counts corresponding health data on the same day and compares the health data with recommended health targets, whether the actual data of the wearing user on the same day meets the standard or not is judged, the rate is finished, the difference is displayed on the intelligent watch and the corresponding APP in time when the judging result of any index is not met.
Description
[ field of technology ]
The invention relates to the technical field of intelligent watches, in particular to a health target recommendation record tracking method and device based on an intelligent watch, an intelligent wearable terminal and a storage medium.
[ background Art ]
Along with the development of science and technology, people pay more attention to health indexes of themselves, and scientific and technological products are increasingly related to the field of health management. In the existing health management scheme, the user is recommended to indexes such as scientific exercise quantity, sleep duration and the like, for example, the user moves at least 6000 steps or 8000 steps every day.
However, for people in different physical states, the physical index of each person is different, resulting in different intensity of exercise for the amount of exercise that can be accepted. For example, for people who do not exercise for a long time, the exercise amount needs to be increased gradually, the exercise amount and the exercise intensity cannot be increased suddenly, otherwise, the exercise may be hurt, i.e. the exercise is originally intended to be healthier, but the exercise amount and the exercise intensity may be counterproductive. For example, people can run marathons, when the latest marathons are close, the latest sleep quality of athletes is extremely poor, and heart health is abnormal frequently, and sudden death can be caused if the athletes blindly participate in the marathons. In this process, the athlete may not know his or her harm, and other people may not necessarily be aware of his or her own physical state, and may not be able to follow the original health management scheme.
In view of the foregoing, it is necessary to provide a health target recommendation record tracking method and device based on a smart watch, a smart wearable terminal and a storage medium to overcome the above-mentioned drawbacks.
[ invention ]
The invention aims to provide a health target recommendation record tracking method and device based on an intelligent watch, an intelligent wearable terminal and a storage medium, and aims to solve the problem of how to conduct daily health target personalized recommendation tracking aiming at body data of each person, and the method and device are more suitable for the health condition of each person.
In order to achieve the above object, a first aspect of the present invention provides a health target recommendation record tracking method based on a smart watch, including:
step S10, the health management system acquires historical health data of a wearing user through application software and acquires current health data through the intelligent watch; wherein the historical health data comprises age, height, weight, blood type, disease, history of operation, history of family disease, history of drug allergy, and health data is collected by the smart watch; the current health data comprise exercise amount, sleep time, sleep quality, pressure index, heart rate, fatigue, blood oxygen and respiratory rate;
Step S20: according to the historical health data and the current health data, calculating and recommending daily health targets suitable for the wearing user according to an artificial intelligence algorithm based on scientific and health theory; the daily health targets comprise daily exercise amount, exercise intensity and exercise duration, total daily sleep duration, deep sleep duration, shallow sleep duration, water intake, respiratory training and pressure;
step S30: and comparing the daily health target recommended by the intelligent watch and the health system with the currently acquired and counted corresponding health data and results, judging whether the actual data of the wearing user on the same day meets the standard and the completed ratio and difference, and if the judgment result of the health data index is not met, displaying on the intelligent watch and the corresponding application software to prompt.
In a preferred embodiment, the method further comprises the step of:
counting and judging whether the reminding frequency of the wearing user in the system recommended and preset time exceeds a first frequency threshold value, if so, increasing the reminding density;
counting and judging whether the reminding frequency of the wearing user in the preset time length exceeds a second frequency threshold, if so, sending an intervention reminding to a terminal of a relatives and friends or service personnel pre-associated with the wearing user;
Wherein the second frequency threshold is greater than the first frequency threshold.
In a preferred embodiment, the step S20 includes:
acquiring the recommended sleeping time on the same day according to the indexes such as the quantity of motion, age, sex, weight and the like of the wearing user on the previous day; the recommended sleep time length comprises a deep sleep time length and a shallow sleep time length;
when the intelligent watch monitors that the actual sleeping time length of the wearing user is lower than the corresponding recommended sleeping time length, a supplementary reminding and suggestion containing the recommended supplementary time length is sent out; the recommended complementary time length is calculated according to the difference value between the recommended sleep time length and the actual sleep time length, and the recommended complementary time length and the actual sleep time length are recommended and preset in the health system.
In a preferred embodiment, the method further comprises the step of:
according to the health data collected and monitored by the intelligent watch, summarizing and judging whether the wearing user possibly has disease risks or not or whether the wearing user has bad living habits or not according to a health algorithm preset in a server; or health and safety risks.
If the probability that the disease risk, the health risk and the safety risk possibly exist is judged to exceed the preset first risk threshold value, timely reminding is sent out.
In a preferred embodiment, the method further comprises the step of:
Acquiring the type of the work position of the wearing user, and judging whether the type of the work position belongs to a preset special security position; wherein the special security posts comprise public security posts, equipment security posts and production security posts;
when the work position type of the wearing user belongs to a special safety position, judging whether the wearing user exceeds a second risk threshold according to sleep data, bad living habits and recent high risks acquired by the intelligent watch; if so, corresponding reminding is sent to the wearing user and the authorities and/or relatives and friends thereof.
In a preferred embodiment, the method further comprises the step of:
according to personal conditions and health data of a wearing user, evaluating according to a preset health system evaluation model to obtain a targeted health target and a maximum health index threshold value which can be born by the wearing user in the age range of the wearing user;
the intelligent watch monitors health indexes of the wearing user in real time, judges whether the increasing amplitude, the increasing speed and the increasing result frequency of the health indexes in the preset time period exceed the maximum health index threshold value, and immediately sends out a prompt or alarm to the wearing user and the pre-bound relatives and friends or units of the wearing user if the increasing amplitude, the increasing speed and the increasing result frequency of the health indexes exceed the maximum health index threshold value.
In a preferred embodiment, the method further comprises the step of:
when the working time information of the wearing user is obtained, correspondingly adjusting the execution time node of the daily health target according to the working time information;
or receiving the personalized working time setting and the sleeping time setting of the wearing user, and correspondingly adjusting.
In a preferred embodiment, the method further comprises the step of:
acquiring the average value of health indexes of the wearing user and the crowd with the same age and the same sex according to the big data, and scientifically recommending a health target value; wherein the health index comprises exercise amount, sleep time length and the like;
judging whether the average value is reached or not according to the health data collected and counted by the intelligent watch, if the average value is not obtained, sending out corresponding reminding, providing a comparison report, and enabling the wearing user to know the difference between the wearing user and the social crowd so as to intervene or adjust in time.
The second aspect of the present invention provides a health target recommendation record tracking device based on a smart watch, comprising:
the health management system is used for acquiring historical health data of a wearing user and current health data acquired by the intelligent watch through application software; wherein the historical health data comprises age, height, weight, blood type, disease, history of operation, history of family disease, history of drug allergy, and health data is collected by the smart watch; the current health data comprise exercise amount, sleep time, sleep quality, pressure index, heart rate, fatigue, blood oxygen and respiratory rate;
The target recommending module is used for calculating and recommending daily health targets suitable for the wearing user according to the historical health data and the current health data and an artificial intelligence algorithm based on scientific and health theory; the daily health targets comprise daily exercise amount, exercise intensity and exercise duration, total daily sleep duration, deep sleep duration, shallow sleep duration, water intake, respiratory training and pressure;
and the result reminding module is used for comparing the daily health target recommended by the intelligent watch and the health system with the currently acquired and counted corresponding health data and results, judging whether the actual data of the wearing user on the same day meets the standard and the completed ratio and difference, and if the judgment result of the health data index is not met, displaying the real data on the intelligent watch and the corresponding application software for timely reminding.
A third aspect of the present invention provides a smart watch, the smart watch including a memory, a processor, a display screen, and a smart watch-based health target recommendation record tracking program stored in the background cloud server and executable by the processor, the smart watch-based health target recommendation record tracking program implementing the steps of the smart watch-based health target recommendation record tracking method according to any of the embodiments described above when executed by the processor.
A fourth aspect of the present invention provides a computer-readable storage medium storing a smart watch-based health target recommendation record tracking program, which when executed by a processor, implements the steps of the smart watch-based health target recommendation record tracking method according to any of the above embodiments.
According to the health target recommendation record tracking method and device based on the intelligent watch, the intelligent wearing terminal and the storage medium, comprehensive evaluation can be carried out according to historical health data of a wearing user and current health data collected by the intelligent watch, so that daily health targets very suitable for the wearing user are obtained. The current health data of the wearing user is also an important reference in evaluation, and when the body of the wearing user changes in the near term, the daily health target can be timely adjusted. Meanwhile, the intelligent watch can monitor actual data of a wearing user and judge whether the actual data reach the standard, and timely reminds the user when the actual data do not reach the standard, if the actual data do not reach the standard for a long time, the reminding density can be increased, and even relatives and friends or other personnel can be informed, so that the damage to the body or the health risk which can be avoided due to bad habit problems can be reduced, and intervention can be timely carried out.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a health target recommendation record tracking method based on a smart watch provided by the invention;
fig. 2 is a frame diagram of a health target recommendation record tracking device based on a smart watch.
[ detailed description ] of the invention
In order to make the objects, technical solutions and advantageous technical effects of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings and detailed description. It should be understood that the detailed description is intended to illustrate the invention, and not to limit the invention.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
Example 1
In the embodiment of the invention, a health target recommendation record tracking method based on an intelligent watch is provided, and is used for conducting personalized health index recommendation according to personal health data of each wearing user, conducting actual data collection and statistics subsequently, judging whether the wearing user finishes recommended health indexes or not, and accordingly giving corresponding reminding.
The smart watch comprises, but is not limited to, a wearable portable electronic device such as a watch type and a bracelet type.
As shown in fig. 1, the health target recommendation record tracking method based on the smart watch includes steps S10-S30.
Step S10, the health management system acquires historical health data of the wearing user and current health data acquired through the intelligent watch through application software. The historical health data comprise age, height, weight, blood type, disease history, operation history, family disease history, medicine allergy history and are collected through the intelligent watch. Current health data includes amount of exercise, length of sleep, quality of sleep, pressure indicators, heart rate, fatigue, blood oxygen, and respiration rate. It should be noted that, the current health data collected by the smart watch is covered by the latest health data, and then is the historical health data. The intelligent watch can collect corresponding health data through a built-in sensor, and can download various data uploaded by a user through a network.
Step S20: according to the historical health data and the current health data, calculating and recommending daily health targets suitable for the wearing user according to an artificial intelligence algorithm based on scientific and health theory; the daily health targets comprise daily exercise amount, exercise intensity and exercise duration, total daily sleep duration, deep sleep duration, shallow sleep duration, water intake, respiratory training and pressure.
For example, a preliminary health index can be obtained according to the physical condition and the historical health data of the wearing user, and then based on the preliminary health index, corresponding adjustment is performed according to the current health data, for example, if a marathon player is monitored that recent heart health is abnormal frequently, the recommended movement amount of the user needs to be greatly reduced, and the recommended sleep time is correspondingly adjusted upwards, so that the user can recover the health state as soon as possible. For example, the average value of each health parameter of the peer is obtained through big data, then the recommended index is adjusted up or down correspondingly according to the average value corresponding to the health parameters with higher correlation, for example, the exercise amount recommendation can involve several health parameters such as heart rate, blood oxygen and respiratory rate, if the heart rate deviates from the average value of the heart rate by a larger amplitude, the exercise amount with a certain amplitude is adjusted down correspondingly, meanwhile, different weight values are set for each health parameter according to the correlation with the recommended index, all the related health parameters are weighted according to the respective weights to obtain the adjustment value of the recommended index, and the preliminary health index is adjusted according to the adjustment value, namely the daily health target for personalized recommendation of the wearing user. Of course, other existing recommendation algorithms may be used to achieve daily health goals, and are not limited to the above-described solutions.
Step S30: and comparing the daily health target recommended by the intelligent watch and the health system with the currently acquired and counted corresponding health data and results, judging whether the actual data of the wearing user on the same day meets the standard and the completed ratio and difference, and if the judgment result of the health data index is not met, displaying on the intelligent watch and the corresponding application software to prompt.
Specifically, after the daily health target is prepared, the intelligent watch can acquire and monitor the completion condition of the wearing user on the same day, so that actual data of the wearing user are obtained, the actual data are compared with various parameters of the corresponding daily health target one by one, if one or more indexes do not reach the preset target, the intelligent watch is judged to be substandard, and at the moment, a prompt is sent to the user to play a role in tracking and prompting. In this process, the smart phone may perform statistics on the indicators that are not completed.
Further, the method comprises the following steps:
firstly, counting and judging whether the reminding frequency of a wearing user in a preset time period exceeds a first frequency threshold (for example, reminding 5 times in half a month), if so, indicating that the wearing user does not reach the standard for a long time, possibly damaging the body, and increasing the reminding density at the moment;
On the basis, continuously counting and judging whether the reminding frequency of the wearing user in the preset time period exceeds a second frequency threshold (for example, 10 reminders in half a month), wherein the second frequency threshold is larger than the first frequency threshold. If the result is yes, the wearing user is shown to have serious substandard or high disease risk probability, at the moment, intervention reminding is sent to terminals of relatives, friends or service personnel and the like pre-associated with the wearing user, and intervention is supervised and promoted by outsiders such as relatives, friends, superior or service personnel and the like.
Further, in one embodiment, step S20 includes: obtaining the recommended sleeping time on the same day according to the quantity of motion, age, sex and weight of the user on the previous day; the recommended sleep time length comprises a deep sleep time length and a shallow sleep time length; when the intelligent watch monitors that the actual sleeping time length of the wearing user is lower than the corresponding recommended sleeping time length, a supplementary reminding containing the recommended supplementary time length is sent out; the recommended complementary time length is calculated according to the difference between the recommended sleep time length and the actual sleep time length and the recommended and preset proportion. If special posts such as drivers, high-altitude operations, and the like are met, the poor sleep quality may affect the safety, and the user is reminded of relatives, working units, and the like in real time without recommending to be on duty, and shifts or adjusts the plan as soon as possible.
For example, the average sleep value of the same-aged person can be adjusted by weighting and counting the indexes, so as to obtain the recommended sleep time length on the same day suitable for the individual, for example, the sleep time length needs 7 hours. And when the smart watch monitors that the user sleeps for 5 hours the next day, a complementary reminding is sent out. At this time, since the user sleeps less for two hours, the user can be recommended for half an hour or an hour of afternoon nap at a predetermined ratio, thereby avoiding the influence on physical health.
Further, in one embodiment, the method further comprises the steps of: according to the health data collected and monitored by the intelligent watch, summarizing and judging whether the wearing user possibly has disease risks and bad living habits currently or not according to a health algorithm preset in the server; and if the probability of possibly existing disease risks exceeds the preset first risk threshold, timely sending out a prompt.
Specifically, according to the health data collected and monitored by the intelligent watch, such as the quantity of exercise, the sleeping time length, the sleeping quality, the pressure index heart rate, the blood oxygen, the respiration rate and other indexes, whether the current possible disease risk exists or not is summarized through the health algorithm and service preset in the server in time. It should be noted that the health algorithm may refer to the prior art, and the present invention is again not limited.
Further, in one embodiment, the method further comprises the steps of: acquiring the type of the work position of the wearing user, and judging whether the type of the work position belongs to a preset special security position; the special security posts comprise public security posts, equipment security posts and production security posts (such as posts of bus drivers, high-altitude operation, mine operation and the like); judging whether the risk of the wearing user for suffering from the cardiovascular and cerebrovascular diseases recently exceeds a second risk threshold according to sleep data, bad living habits and high risks recently acquired by the intelligent watch when the type of the working position of the wearing user belongs to a special safety position; if so, corresponding reminding is sent to the authorities and/or relatives and friends of the wearing user.
Specifically, when the smart watch collects that the wearing user is seriously insufficient in sleep and/or the risk of suffering from heart diseases is high due to the bad living habit, the risk of the heart and cerebral vascular diseases is increased recently, and the possible risk of the diseases and the possible crisis of the bad living habit to the life safety of the body, the smart watch is particularly aimed at the posts (such as buses, high-altitude operation, mine operation and the like) related to public safety and equipment safety, and timely reminds and informs the authorities, superior, dispatcher or relatives and friends of the smart watch, timely care and dry pre-adjustment posts, shift shifts and sends medical examination to reduce and avoid the risks.
Further, in one embodiment, the method further comprises the steps of: according to personal conditions and health data of a wearing user, evaluating according to a preset health system evaluation model to obtain a targeted health target and a maximum threshold value which can be born by the wearing user in the age range of the wearing user; the maximum threshold value can be called a health index threshold value, which comprises an excessively high or low heart rate, low blood oxygen, respiration rate, blood pressure, body temperature, blood sugar, sleep, heart beat law, altitude rapid change such as falling, exercise quantity, exercise step number exercise intensity and the like, a maximum or minimum threshold value exceeding the user self-defined threshold value or scientific recommended threshold value or bearable by gender of the corresponding age, the speed or the frequency of the change and the like; the intelligent watch monitors heart rate indexes of the wearing user in real time, judges whether the increasing amplitude of the heart rate in the preset duration exceeds an amplitude threshold value, and immediately sends out a prompt to the wearing user and the pre-bound relatives and friends of the wearing user if the increasing amplitude of the heart rate exceeds the amplitude threshold value.
Specifically, during exercise, the smart watch can monitor heart rate indexes all the time, if the heart rate suddenly increases to exceed the original certain ratio (namely, if the heart rate increases within a preset period of time to exceed the health index threshold), the system can calculate heart rate indexes which can be born by the heart, the heart load suddenly increases, the risk is possibly generated, and the smart watch timely reminds and intervenes to avoid health accidents.
It can be understood that the physique and living habit of each person lead to different people having different bearing thresholds for the same health index; in addition, even the same person can bear different thresholds under different work and rest conditions. For example, common heart rate indicators in the original society are: 220-age, which may not be suitable for all people, such as people with heart disease, people with hypertension, people without strenuous exercise for a long time, and sudden ultrahigh heart rate values, which may otherwise cause unnecessary health accidents. Also for example: when a user of an athlete runs marathon, the recent marathon is near, the recent sleep quality of the athlete is extremely poor, the heart health is abnormal frequently, the blind participation of the marathon can cause sudden death, the athlete may not know the harm, and other people do not necessarily know the physical state of the athlete. Therefore, thousands of people and thousands of standards, thousands of people and thousands of definitions, personalized for people with different health indexes, set different health targets and health thresholds. The recommended motion quantity of health indexes such as the motion quantity is not the scientific motion quantity of 6000 steps and 8000 steps in a general or long-running way, but the motion quantity and the motion strength of the motion quantity are different according to the physical indexes of people in different physical states, for example, for people without motion for a long time, the recommended motion quantity is increased by a progressive process, the motion quantity and the motion strength are not increased, the damage to the body is avoided, and the physical health of the user is promoted.
Further, in one embodiment, the method further comprises the steps of: acquiring working time information of a wearing user, and correspondingly adjusting an execution time node of a daily health target according to the working time information; or receiving a sleep time setting instruction of the wearing user, and correspondingly setting the sleep time.
It should be noted that, the conventional health management method usually defaults to the user working in daytime and resting at night, and the management device cannot be modified after leaving factory, or the crowd at night and night is not considered at all. According to the method, on the intelligent watch, the sleep time and the working time of the intelligent watch can be set manually or through the APP and the background connected with the mobile phone, personalized or unified aiming at special people, and the setting of the working time and the sleep time is convenient for the management of the movement and the sleep of night shift staff. Of course, the smart watch defaults to normal daytime working when shipped. Therefore, the embodiment solves the problem that the sleeping general time of the conventional common bracelet cannot be modified after leaving the factory, and also solves the problem of high power consumption of a scientific sleeping monitoring mode by using a heart rate and acceleration sensor for dealing with sleeping monitoring of night shift staff.
Further, in one embodiment, the method further comprises the steps of: acquiring the average value of health indexes of people of the same age of wearing users according to the big data; wherein the health index comprises exercise amount and sleep time; judging whether the average value is reached or not according to the health data collected and counted by the intelligent watch, if the average value is not obtained, sending out corresponding reminding and providing a comparison report, so that the wearing user can know the difference between the wearing user and the social crowd more, and the wearing user can intervene or adjust in time.
It should be noted that, many times, the user does not know how many steps the user should exercise every day, the target of sleeping time, etc. to be more suitable for the health condition of the age group of the user, at this time, the average value condition of the same age group can be referred to, for example, how much the average value of the exercise amount of the same age group is calculated through big data, and whether the exercise amount of the user reaches the standard or not and how much the achievement proportion is checked in time; whether the sleep quality reaches standard or not and whether the average value is reached or not, whether the afternoon nap is needed or how long is the best state, so as to meet the physiological normal demands of the body; if the indexes of the same-age people, such as exercise, sleep and the like, reach the health state, the health risks, bad living habits and damages thereof may exist.
Example two
The invention provides a health target recommendation record tracking device 100 based on an intelligent watch, which is used for conducting personalized health index recommendation according to personal health data of each wearing user, conducting actual data collection and statistics subsequently, and judging whether the wearing user finishes the recommended health index or not, so that corresponding reminding is given. It should be noted that, the implementation principle and the specific implementation manner of the health target recommendation record tracking device 100 based on the smart watch may refer to the above health target recommendation record tracking method based on the smart watch, and the disclosure is not repeated here.
As shown in fig. 2, the smart watch-based health target recommendation record tracking device 100 includes:
the health management system 10 is used for acquiring historical health data of a wearing user and current health data acquired by the intelligent watch through application software; wherein the historical health data comprises age, height, weight, blood type, disease, history of operation, history of family disease, history of drug allergy, and health data is collected by the smart watch; the current health data comprise exercise amount, sleep time, sleep quality, pressure index, heart rate, fatigue, blood oxygen and respiratory rate;
The target recommending module 20 is configured to calculate and recommend a daily health target suitable for the wearing user according to the historical health data and the current health data and based on an artificial intelligence algorithm based on science and health theory; the daily health targets comprise daily exercise amount, exercise intensity and exercise duration, total daily sleep duration, deep sleep duration, shallow sleep duration, water intake, respiratory training and pressure;
the result reminding module 30 is configured to compare the daily health target recommended by the smart watch and the health system with the currently collected and counted corresponding health data and results, determine whether the actual data of the wearing user on the same day meets the standard and the completed ratio and difference, and if the determination result of the health data index is not the standard, present the result on the smart watch and the corresponding application software to remind in time.
Further, in one embodiment, the smart watch based health target recommendation record tracking device 100 further comprises:
the first frequency judging module is used for counting and judging whether the reminding frequency of the wearing user in the preset time length exceeds a first frequency threshold value, and if so, the reminding density is increased;
The second frequency judging module is used for counting and judging whether the reminding frequency of the wearing user in the preset time length exceeds a second frequency threshold value, and if so, sending an intervention reminding to a terminal of a relatives and friends or service personnel pre-associated with the wearing user;
wherein the second frequency threshold is greater than the first frequency threshold.
Further, in one embodiment, the smart watch based health target recommendation record tracking device 100 further comprises:
the disease risk summarizing module is used for summarizing and judging whether the wearing user is likely to have disease risks and whether the wearing user has bad life habits or not according to health algorithms preset in the server and the health data acquired and monitored by the intelligent watch;
the first risk reminding module is used for timely sending out reminding if the probability that the disease risk possibly exists is judged to exceed a preset first risk threshold value.
Further, in one embodiment, the smart watch based health target recommendation record tracking device 100 further comprises:
the work position acquisition module is used for acquiring the work position type of the wearing user and judging whether the wearing user belongs to a preset special safety position or not; wherein the special security posts comprise public security posts, equipment security posts and production security posts;
The second risk judging module is used for judging whether the risk of the wearing user for suffering from cardiovascular and cerebrovascular diseases recently exceeds a second risk threshold according to sleep data acquired by the intelligent watch and bad living habits when the type of the working position of the wearing user belongs to a special safety position; if so, corresponding reminding is sent to the authorities and/or relatives and friends of the wearing user.
Further, in one embodiment, the smart watch based health target recommendation record tracking device 100 further comprises:
the health threshold evaluation module is used for evaluating and obtaining a targeted health target and a health threshold according to the personal condition and the health data of the wearing user and a preset evaluation model; wherein the health threshold comprises an amplitude threshold corresponding to an increase in heart rate;
and the heart rate monitoring judging module is used for monitoring heart rate indexes of the wearing user in real time when the intelligent watch judges whether the increasing amplitude of the heart rate in the preset duration exceeds the amplitude threshold value, and if so, the intelligent watch immediately sends a prompt to the wearing user and the pre-bound relatives and friends thereof.
Further, in one embodiment, the smart watch based health target recommendation record tracking device 100 further comprises:
The working time acquisition module is used for acquiring working time information of a wearing user and correspondingly adjusting execution time nodes of daily health targets according to the working time information; or receiving a sleep time setting instruction of the wearing user, and correspondingly setting the sleep time.
Further, in one embodiment, the smart watch based health target recommendation record tracking device 100 further comprises:
the index average value acquisition module is used for acquiring the health index average value of the crowd of the wearing user at the same age according to the big data; wherein the health index comprises exercise amount and sleep time;
and the third risk judging module is used for judging whether the average value is reached according to the health data collected and counted by the intelligent watch, if the result is negative, the corresponding reminding is sent out, a comparison report is provided, and the wearing user can know the difference between the wearing user and the social crowd more so as to intervene or adjust in time.
Example III
The invention provides a smart watch, which comprises a memory, a processor, a display screen and a smart watch-based health target recommendation record tracking program, wherein the smart watch-based health target recommendation record tracking program is stored in a background cloud server and can be run by the processor, and the steps of the smart watch-based health target recommendation record tracking method according to any one of the embodiments are realized when the smart watch-based health target recommendation record tracking program is executed by the processor.
Example IV
The invention provides a computer readable storage medium, wherein the computer readable storage medium stores a health target recommendation record tracking program based on a smart watch, and the health target recommendation record tracking program based on the smart watch realizes the steps of the health target recommendation record tracking method based on the smart watch according to any one of the embodiments.
In summary, according to the health target recommendation record tracking method and device based on the intelligent watch, the intelligent wearable terminal and the storage medium provided by the invention, comprehensive evaluation is performed according to the historical health data of the wearable user and the current health data collected by the intelligent watch, so that the daily health target very suitable for the wearable user is obtained. The current health data of the wearing user is also an important reference in evaluation, and when the body of the wearing user changes in the near term, the daily health target can be timely adjusted. Meanwhile, the intelligent watch can monitor actual data of a wearing user and judge whether the actual data reach the standard, and timely reminds the user when the actual data do not reach the standard, if the actual data do not reach the standard for a long time, the reminding density can be increased, and even relatives and friends or other personnel can be informed, so that the damage to the body or the health risk which can be avoided due to bad habit problems can be reduced, and intervention can be timely carried out. According to the method, new recommended indexes and targets are updated in time according to the changed body indexes and new health information of the wearing user, and compared and comprehensively evaluated with the health indexes and targets recommended by the system and current health data acquired by the intelligent watch, daily health targets suitable for the wearing user are recommended again, actual data of the wearing user are monitored, whether the actual data reach standards or not is judged, and the user is reminded in time when the actual data reach the standards or are abnormal so as to perform health intervention.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the elements and method steps of the examples described in connection with the embodiments disclosed herein can be implemented as electronic hardware, or as a combination of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed system or apparatus/terminal device and method may be implemented in other manners. For example, the system or apparatus/terminal device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The present invention is not limited to the details and embodiments described herein, and thus additional advantages and modifications may readily be made by those skilled in the art, without departing from the spirit and scope of the general concepts defined in the claims and the equivalents thereof, and the invention is not limited to the specific details, representative apparatus and illustrative examples shown and described herein.
Claims (11)
1. A health target recommended record tracking method based on a smart watch is characterized by comprising the following steps:
Step S10, the health management system acquires historical health data of a wearing user through application software and acquires current health data through the intelligent watch; wherein the historical health data comprises age, height, weight, blood type, disease, history of operation, history of family disease, history of drug allergy, and health data is collected by the smart watch; the current health data comprise exercise amount, sleep time, sleep quality, pressure index, heart rate, fatigue, blood oxygen and respiratory rate;
step S20: according to the historical health data and the current health data, calculating and recommending daily health targets suitable for the wearing user according to an artificial intelligence algorithm based on scientific and health theory; the daily health targets comprise daily exercise amount, exercise intensity and exercise duration, total daily sleep duration, deep sleep duration, shallow sleep duration, water intake, respiratory training and pressure;
step S30: and comparing the daily health target recommended by the intelligent watch and the health system with the currently acquired and counted corresponding health data and results, judging whether the actual data of the wearing user on the same day meets the standard and the completed ratio and difference, and if the judgment result of the health data index is not met, displaying on the intelligent watch and the corresponding application software to prompt.
2. The smart watch-based health target recommendation record tracking method according to claim 1, further comprising the steps of:
counting and judging whether the reminding frequency of the wearing user in the system recommended and preset time exceeds a first frequency threshold value, if so, increasing the reminding density;
counting and judging whether the reminding frequency of the wearing user in the preset time length exceeds a second frequency threshold, if so, sending an intervention reminding to a terminal of a relatives and friends or service personnel pre-associated with the wearing user;
wherein the second frequency threshold is greater than the first frequency threshold.
3. The method for tracking health target recommendation record based on smart watch according to claim 1, wherein said step S20 comprises:
acquiring the recommended sleeping time on the same day according to the indexes such as the quantity of motion, age, sex, weight and the like of the wearing user on the previous day; the recommended sleep time length comprises a deep sleep time length and a shallow sleep time length;
when the intelligent watch monitors that the actual sleeping time length of the wearing user is lower than the corresponding recommended sleeping time length, a supplementary reminding and suggestion containing the recommended supplementary time length is sent out; the recommended complementary time length is calculated according to the difference value between the recommended sleep time length and the actual sleep time length, and the recommended complementary time length and the actual sleep time length are recommended and preset in the health system.
4. The smart watch-based health target recommendation record tracking method according to claim 1, further comprising the steps of:
according to the health data collected and monitored by the intelligent watch, summarizing and judging whether the wearing user possibly has disease risks or not or whether the wearing user has bad living habits or not according to a health algorithm preset in a server; or health and safety risks;
if the probability that the disease risk, the health risk and the safety risk possibly exist is judged to exceed the preset first risk threshold value, timely reminding is sent out.
5. The smart watch-based health target recommendation record tracking method according to claim 4, further comprising the steps of:
acquiring the type of the work position of the wearing user, and judging whether the type of the work position belongs to a preset special security position; wherein the special security posts comprise public security posts, equipment security posts and production security posts;
when the work position type of the wearing user belongs to a special safety position, judging whether the wearing user exceeds a second risk threshold according to sleep data, bad living habits and recent high risks acquired by the intelligent watch; if so, corresponding reminding is sent to the wearing user and the authorities and/or relatives and friends thereof.
6. The smart watch-based health target recommendation record tracking method according to claim 1, further comprising the steps of:
according to personal conditions and health data of a wearing user, evaluating according to a preset health system evaluation model to obtain a targeted health target and a maximum health index threshold value which can be born by the wearing user in the age range of the wearing user;
the intelligent watch monitors health indexes of the wearing user in real time, judges whether the increasing amplitude, the increasing speed and the increasing result frequency of the health indexes in the preset time period exceed the maximum health index threshold value, and immediately sends out a prompt or alarm to the wearing user and the pre-bound relatives and friends or units of the wearing user if the increasing amplitude, the increasing speed and the increasing result frequency of the health indexes exceed the maximum health index threshold value.
7. The smart watch-based health target recommendation record tracking method according to claim 1, further comprising the steps of:
when the working time information of the wearing user is obtained, correspondingly adjusting the execution time node of the daily health target according to the working time information;
or receiving the personalized working time setting and the sleeping time setting of the wearing user, and correspondingly adjusting.
8. The smart watch-based health target recommendation record tracking method according to claim 1, further comprising the steps of:
Acquiring the average value of health indexes of the wearing user and the crowd with the same age and the same sex according to the big data, and scientifically recommending a health target value; wherein the health index comprises exercise amount, sleep time length and the like;
judging whether the average value is reached or not according to the health data collected and counted by the intelligent watch, if the average value is not obtained, sending out corresponding reminding, providing a comparison report, and enabling the wearing user to know the difference between the wearing user and the social crowd so as to intervene or adjust in time.
9. Healthy target recommended record tracking means based on intelligent wrist-watch, characterized by comprising:
the health management system is used for acquiring historical health data of a wearing user and current health data acquired by the intelligent watch through application software; wherein the historical health data comprises age, height, weight, blood type, disease, history of operation, history of family disease, history of drug allergy, and health data is collected by the smart watch; the current health data comprise exercise amount, sleep time, sleep quality, pressure index, heart rate, fatigue, blood oxygen and respiratory rate;
the target recommending module is used for calculating and recommending daily health targets suitable for the wearing user according to the historical health data and the current health data and an artificial intelligence algorithm based on scientific and health theory; the daily health targets comprise daily exercise amount, exercise intensity and exercise duration, total daily sleep duration, deep sleep duration, shallow sleep duration, water intake, respiratory training and pressure;
And the result reminding module is used for comparing the daily health target recommended by the intelligent watch and the health system with the currently acquired and counted corresponding health data and results, judging whether the actual data of the wearing user on the same day meets the standard and the completed ratio and difference, and if the judgment result of the health data index is not met, displaying the real data on the intelligent watch and the corresponding application software for timely reminding.
10. A smart watch comprising a memory, a processor, a display screen, and a smart watch-based health target recommendation record tracking program stored in the background cloud server and executable by the processor, the smart watch-based health target recommendation record tracking program implementing the steps of the smart watch-based health target recommendation record tracking method of any one of claims 1-8 when executed by the processor.
11. A computer readable storage medium, characterized in that the computer readable storage medium stores a smart watch based health target recommendation record tracking program, which when executed by a processor, implements the steps of the smart watch based health target recommendation record tracking method according to any of claims 1-8.
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| CN117476181A (en) * | 2023-11-08 | 2024-01-30 | 广东医科大学附属第二医院 | Personalized static therapy plan generation method and system |
| CN117476181B (en) * | 2023-11-08 | 2024-05-14 | 广东医科大学附属第二医院 | Personalized static therapy plan generation method and system |
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