CN1908975A - Human feature based healthy intelligent management method and healthy suggestion system - Google Patents
Human feature based healthy intelligent management method and healthy suggestion system Download PDFInfo
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Abstract
本发明公开了一种基于人体特征的健康智能管理方法，采用计算机应用模块，包括定制并调整健康计划的步骤。本发明还公开了一种基于人体特征的健康建议系统，包括用户特征模块、特征感应模块、交互模块和决策模块；交互模块与用户特征模块、决策模块连接；特征感应模块、用户特征模块和决策模块依次连接。本发明根据用户的基本情况定制出客观的健康计划，同时能够从饮食、运动和睡眠等方面对用户的健康状况进行全方位的监控和统计分析，并根据情况的变化动态地调整健康计划，以便及时提供合理的健康建议和行动指导。可随时响应用户的请求，及时解决相关问题。本发明有助于全面有效地改善用户的健康状况，适合于在当今社会和环境下对健康问题的解决。
The invention discloses a health intelligent management method based on human body characteristics, which adopts a computer application module and includes the steps of customizing and adjusting a health plan. The invention also discloses a health advice system based on human body characteristics, including a user characteristic module, a characteristic sensing module, an interaction module and a decision module; the interaction module is connected with the user characteristic module and the decision module; the characteristic sensing module, the user characteristic module and the decision module Modules are connected sequentially. The present invention customizes an objective health plan according to the basic situation of the user, and at the same time can conduct all-round monitoring and statistical analysis on the health status of the user from the aspects of diet, exercise and sleep, etc., and dynamically adjust the health plan according to the change of the situation, so that Provide reasonable health advice and action guidance in a timely manner. Can respond to user requests at any time and solve related problems in a timely manner. The invention helps to comprehensively and effectively improve the health status of users, and is suitable for solving health problems in today's society and environment.
Description
Technical field
The present invention relates to a kind of computer information management technology, relate in particular to a kind of health intelligent management method and Health ﹠ Fitness Tip system that preventive medicine, Medical Statistics and computer information management are combined as a whole based on the characteristics of human body.
Background technology
Current society, along with expanding economy, people's living standard is greatly improved, and quality of life has obtained tangible improvement, but thing followed problem also becomes increasingly conspicuous.The first, because expanding economy and interpersonal increasingly competitive, people need spend a large amount of time in work, and working load is also more and more heavier, and therefore the working pressure and the life stress of being born is increasing.For this reason, people's physical and mental health exists many hidden danger, sub-health status not only occurred, and the initiation of various occupational illness is of common occurrence, as cervical spondylopathy, stomach trouble, insomnia or the like.The second, plentiful on the material also makes and caused the some people health that is not careful in one's diet as diseases such as obesity, hypertension, diabetes.The 3rd, people's life has also been enriched in expanding economy, makes life style variation more to cause some people not note daily habits and customs, and rule of life is disorderly and cause and go to bits.The 4th, abominable day by day the healthy of people that also had a strong impact on of environment.This shows that the healthy factor of current social influence people is more and more, and more complicated, the health problem of Yin Faing becomes increasingly conspicuous thereupon.
In addition, along with the progress and the development of society, people rather pay attention to the health status of self.Therefore, health problem has more and more caused people's attention, and people carry out self from the various aspects of daily lifes such as motion, diet, sleep and even psychology energetically according to the wish of oneself and regulate, to improve the general level of the health of self; Simultaneously, also produced technology and the product that many help people improve health status.But, because everyone educational level difference, and different, carry out self adjusting according to oneself wish and exist a lot of subjectivities and one-sidedness the degree of awareness of existence general knowledge and medical knowledge, what may not obtain achieving one's goal improves effect.And,, have certain objectivity and science by contrast, thereby under the guidance of these technology and product, can bring tangible health to improve effect as health management system arranged etc. by means of the technology of improving health status and product.So-called health control is meant individual or crowd's health risk factors is comprehensively monitored, analyzed and assesses, and then the overall process of predicting and preventing.Its aim is to transfer the enthusiasm of individual and collective, effectively utilizes Limited resources and reaches maximum health and improve effect.As a kind of service, its specific practice is to estimate and be that the individual provides health guidance targetedly according to individual's health status, they is taken action improve health.Yet this present class technology and product still ubiquity following defective: (1) function singleness, the project of detection assessment is comprehensive (as only relating to motion) inadequately.As mentioned above, unhealthful factor is complicated and various, so the shortage of function directly influenced result of use, thereby can not more effectively improve user's health status.(2) be that wish according to the user customizes health plan mostly, carry out intelligent recommendation, might cause the unreasonable of customization plan owing to the shortage of user knowledge in conjunction with user's (i.e. Shi Ji situation) for information about and user's wish.
Summary of the invention
The objective of the invention is to overcome the deficiencies in the prior art, provide a kind of feature based on human body, can be in conjunction with user's actual information comprehensive monitoring, the health status of analysis user, thereby the health intelligent management method based on the characteristics of human body of guides user action is improved effect to obtain maximum health.Another object of the present invention is to provide a kind of Health ﹠ Fitness Tip system,, make the user in time obtain omnibearing Health ﹠ Fitness Tip so that in the middle of daily work and life, can adjust and point out the user automatically according to the variation of condition based on the characteristics of human body.
Purpose of the present invention is achieved by the following technical programs:
A kind of health intelligent management method based on the characteristics of human body provided by the invention adopts the computer utility module, comprises user characteristics module, feature induction module, interactive module and decision-making module; Described health intelligent management method comprises following customization and adjusts the step of health plan:
A. in described decision-making module, set up diet policy database, motion policy database and sleep policy database.
B. user's essential information is imported and is stored in the user characteristics module by described interactive module.These essential informations can be user's sex, age, height, body weight, medical history and present state of an illness etc. in the past.
C. described decision-making module compares in conjunction with user's essential information and the decision-making data in the database and judges, customizes out health plan according to the result then, and sends this plan information to user by interactive module.The content of this health plan is: at user's basic condition, and concrete operations that the user should carry out at aspects such as diet, motion, sleeps and the item that should be noted that.
D. to time cycle such as day, week, the moon, year in health status monitor and add up, the diet situation information and the sleep quality information data that are about to take place in the time cycle are input in the described user characteristics module by interactive module.Wherein diet situation information can characterize by heat, protein, vitamin and the isoparametric amount of various mineral matter; Sleep quality information can characterize by the length of the length of one's sleep.In addition, in the official hour cycle or specialize in the time of to read immediately, use described feature induction module to gather user's characteristic in real time, comprise pulse and blood pressure data, and be sent to the user characteristics module as motion conditions information with this, so that the user characteristics module can be added up these data that change constantly, recognize user's exercise degree.
E. described decision-making module judges whether diet situation information, motion conditions information and the sleep quality information imported meet the health plan that is customized; If meet, then wait for monitoring and the statistical study of next time cycle; If do not meet, decision-making module is made final Health ﹠ Fitness Tip according to user's characteristic information, and sends the user to by interactive module.
Health intelligent management method of the present invention not only can customize out health plan according to user's basic condition, and can adjust and advise according to actual conditions, thereby realizes dynamic health control.
In addition, health intelligent management method of the present invention can also provide solution at emergency case, and its step comprises:
I) emergency case triggers, promptly import solicited message to described decision-making module by interactive module, or the characteristic that collects such as pulse and blood pressure data being sent to the user characteristics module by described feature induction module, described decision-making module relatively this characteristic is judged and has been exceeded reasonable range;
II) described decision-making module is accepted the emergency case triggering, seeks whether there is solution according to the type of emergency case from corresponding database; If exist, then solution returned to the user.
The triggering of emergency case has two kinds of forms: a kind of user of being passes through interactive module input instruction information, for the health problem that produces at any time (as interrogate certain food whether be fit to own eat etc.), sends inquiry to decision-making module.Another kind is by the feature induction module characteristic that collects to be sent to the user characteristics module, is handled by decision-making module.
If there is not solution in the decision-making module database, health intelligent management method of the present invention can also adopt communication module, by the connection of network and the transmission of teledata, to solve the problem that can't find solution in decision-making module.At this moment, in decision-making module, set up the online query database; In described Step II) in if there is no solution, decision-making module then calls described communication module and is connected with network, and emergency case information is sent to long-range expert's service end; Long-range expert's service end returns corresponding solution and be stored in the online query database of decision-making module by network and communications module according to this information; Then, decision-making module sends this solution to user by interactive module.So just, can in time obtain needed solution.
Another object of the present invention is achieved by the following technical programs:
A kind of Health ﹠ Fitness Tip system based on the characteristics of human body provided by the invention comprises following modules:
Be used to store the user characteristics module of user basic information, diet situation information, motion conditions information and sleep quality information;
Be used to respond to the user characteristics of human body to characterize the feature induction module of user movement situation;
The interactive module that is used for input instruction data and solicited message, display process result and information, this module are responsible for mutual between user and the system;
Be used for storage decision-making data message, data are compared decision-making module with judgment processing, comprise diet policy database, motion policy database and sleep policy database;
Described interactive module is connected with user characteristics module, decision-making module; Described feature induction module, user characteristics module are connected successively with decision-making module.
System of the present invention sends user basic information, actual diet situation information and sleep quality information to the user characteristics module by interactive module; The real-time characteristic of the sign motion conditions that will collect by the feature induction module sends the user characteristics module to.Then, the user characteristics module sends above-mentioned information data to decision-making module.Decision-making module then compares according to user's essential information and the related data in the database and judges, customizes out objective rational health plan, and returns to the user by interactive module, carries out for the user.In the time cycle, decision-making module can be handled diet situation information, motion conditions information and the sleep quality information of reality, relatively judge whether to meet the health plan that is customized,, make Health ﹠ Fitness Tip and return to the user by interactive module if do not meet then adjust.
In addition, the user can pass through interactive module or feature induction module, calls decision-making module with regard to the problem that needs solve, with the solution of the problem of seeking.When decision-making module can't be dealt with problems, Health ﹠ Fitness Tip of the present invention system also comprised and is used for the communication module that is connected with network and the long-range expert's service end that is used to provide expert's solution; Described communication module is connected with decision-making module, and is connected to long-range expert's service end by network; Described decision-making module also comprises the online query database, to store down the relevant information data that passes.When the insurmountable problem of decision-making module, decision-making module calling communication module is connected to long-range expert's service end by network; The problem that long-range expert's service end solves as required returns corresponding solution and be stored in the online query database of decision-making module by network and communications module; Then, decision-making module sends this solution to user by interactive module.
The present invention has following beneficial effect:
(1) the present invention carries out omnibearing monitoring, statistics and analysis from the tripartite health status in the face of the user of diet, motion and sleep, and can provide objective logical diet plan and suggestion, exercise program and suggestion, sleep plan and suggestion according to these information, help to improve fully and effectively user's health status, be suitable under current society and environment solution health problem.
(2) in actual applications,, dynamically adjust health plan and suggestion, thereby can in time obtain rational Health ﹠ Fitness Tip and action guidance according to user's actual conditions and emergency case.
(3) can realize and user's interaction, respond user's request at any time, in time solve the relevant issues that the user proposes.
Description of drawings
The present invention is described in further detail below in conjunction with embodiment and accompanying drawing:
Fig. 1 is the composition frame chart of embodiment of the invention Health ﹠ Fitness Tip system;
Fig. 2 is the information content synoptic diagram of user characteristics module embodiment illustrated in fig. 1;
Fig. 3 is customization embodiment illustrated in fig. 1 and the workflow block diagram of adjusting health plan;
Fig. 4 is the workflow block diagram of reply emergency case embodiment illustrated in fig. 1;
Fig. 5 is the information content synoptic diagram of user characteristics module embodiment illustrated in fig. 1 in user A on 17 o'clock same day.
Embodiment
The health intelligent management method that Fig. 1～Figure 5 shows that the present invention is based on the characteristics of human body and the embodiment of Health ﹠ Fitness Tip system.As shown in Figure 1, present embodiment Health ﹠ Fitness Tip system comprises with lower module:
Be used to store the user characteristics module of user basic information, diet situation information, motion conditions information and sleep quality information;
Be used to respond to the user characteristics of human body to characterize the feature induction module of user movement situation, as the pulse wave measurement device;
The interactive module that is used for input instruction data and solicited message, display process result and information, this module are responsible for mutual between user and the system;
Be used for storage decision-making data message, data are compared decision-making module with judgment processing, comprise diet policy database, motion policy database, sleep policy database and online query database;
Be used for the communication module that is connected with network;
Be used to provide long-range expert's service end of expert's solution;
Interactive module is connected with user characteristics module, decision-making module; Feature induction module, user characteristics module, decision-making module are connected successively with communication module; Communication module is connected to long-range expert's service end by network.
As shown in Figure 2, store user's essential information and actual conditions information in the user characteristics module.User's essential information is imported by interactive module, comprises user's sex, age, height, body weight, medical history and present state of an illness etc. in the past.Actual conditions information comprises diet situation, motion conditions and sleep quality, and wherein diet situation information is imported by interactive module, characterizes with heat, protein, vitamin and the isoparametric amount of various mineral matter; Motion conditions information characterizes by data such as characteristics of human body such as pulse and blood pressures, and these characteristics are gathered and sent to the user characteristics module in real time by the feature induction module; Sleep quality information is imported by interactive module, characterizes with the length of the length of one's sleep.
Present embodiment health intelligent management method adopts above-mentioned Health ﹠ Fitness Tip system, comprises customization and adjusts the step of health plan and the step of reply emergency case.
As shown in Figure 3, the step of customization and adjustment health plan comprises:
A. in decision-making module, set up diet policy database, motion policy database, sleep policy database and online query database.
B. user's essential information is imported and is stored in the user characteristics module by interactive module.
C. decision-making module compares in conjunction with user's essential information and the decision-making data in the database and judges, customizes out health plan according to the result then, and sends this plan information to user by interactive module.The content of this health plan is: at user's basic condition, and concrete operations that the user should carry out at aspects such as diet, motion, sleeps and the item that should be noted that.
D. to time cycle such as day, week, the moon, year in health status monitor and add up, the diet situation information and the sleep quality information data that are about to take place in the time cycle are input in the described user characteristics module by interactive module; The use characteristic induction module is gathered user's characteristic in real time, comprises pulse and blood pressure data, and is sent to the user characteristics module with this as motion conditions information.
E. decision-making module judges whether the actual conditions information of being imported (diet, motion and sleep) meets the health plan that is customized; If meet, then wait for monitoring and the statistical study of next time cycle; If do not meet, decision-making module is made final Health ﹠ Fitness Tip according to user's characteristic information, and sends the user to by interactive module.
As shown in Figure 4, the step of reply emergency case comprises:
I) emergency case triggers, promptly import solicited message to decision-making module by interactive module, or the characteristic that collects such as pulse and blood pressure data being sent to the user characteristics module by the feature induction module, decision-making module relatively this characteristic is judged and has been exceeded reasonable range;
II) decision-making module is accepted the emergency case triggering, seeks whether there is solution according to the type of emergency case from corresponding database; If exist, then solution returned to the user; If there is no solution, decision-making module then calling communication module is connected with network, and emergency case information is sent to long-range expert's service end; Long-range expert's service end returns corresponding solution and be stored in the online query database of decision-making module by network and communications module according to this information; Then, decision-making module sends this solution to user by interactive module.
Present embodiment can be for being worn on an equipment on the user's wrist, so that the user can wear use, comprehensive Health ﹠ Fitness Tip of the system that accepts at any time and guidance in daily work life.For example, as shown in Figure 5, the present basic condition of user A is: the male sex, 50 years old, height 160cm, body weight 80kg, and find the year before and have a heart disease, treat at present.User A has used present embodiment the year before in order to improve the health status of self, and has imported user characteristic data on request.
System is by the relatively essential information of user A and the database information in the decision-making module, judge the body weight of user A and height than bigger than normal, the age is higher and have a heart disease at present.So the health plan of making for user A thes contents are as follows: the diet aspect, control appetite to lose weight, note the meat and vegetables collocation, do not eat food higher fatty acid, high cholesterol; The motion exercise aspect, will take regular exercise every day, guarantees to have certain amount of exercise, but can not be too much, will guarantee that simultaneously motion is too not fierce; The sleep aspect, guarantee has 8 hours the length of one's sleep every day, to guarantee abundant spirit.
User A is strict always before the same day to be carried out by health plan, and health has had improvement, and the statistical conditions in this week, the moon, year are all normal.This day, because user A will organize an activity, thus rise morning than usual early, and need busy a whole day, also fail noon to have a meal carefully.On 17 o'clock same day, system has drawn the statistical conditions on the same day according to these actual conditions information: diet is on the low side, motion is on the high side and the (see figure 5) of not having enough sleep.Decision-making module is made final Health ﹠ Fitness Tip according to these situations of change: the work that should stop as early as possible the same day, and the nutrition of many auxiliary points is wanted in dinner, and will go to bed earlier tonight.Decision-making module sends final Health ﹠ Fitness Tip to user A by interactive module then.
So, the user A work of having stopped, and when dinner and the colleague have a dinner party together.Whether the user wants to understand the dish order suddenly and is fit to oneself eat, then whether being fit to eat to such an extent that dish is issued system as emergency case, in the dish of being order by the system feedback understanding what kind of dish this eat, what kind of dish should not eat.But have the raw material ratio of the same dish rarer, the information of this raw material correspondence not in the system so system just hands to long-range expert's service end to this inquiry by network, and after the suggestion that obtains long-range expert's service end, feeds back to the user to suggestion again.After the user has fullyed understand the food that oneself is fit to eat, just enjoyed dinner merrily with colleagues.After going back home, user A accepts the Health ﹠ Fitness Tip of system, has a rest ahead of time to refill the sleep that lacked the same day, for good spirit is supported in the work of tomorrow.
Claims (7)
1, a kind of health intelligent management method based on the characteristics of human body adopts the computer utility module, it is characterized in that: comprise user characteristics module, feature induction module, interactive module and decision-making module; Described health intelligent management method comprises following customization and adjusts the step of health plan:
A. in described decision-making module, set up diet policy database, motion policy database and sleep policy database;
B. user's essential information is imported and is stored in the user characteristics module by described interactive module;
C. described decision-making module compares in conjunction with user's essential information and the decision-making data in the database and judges, customizes out health plan according to the result then, and sends this plan information to user by interactive module;
D. to time cycle such as day, week, the moon, year in health status monitor and add up, the diet situation information and the sleep quality information data that are about to take place in the time cycle are input in the described user characteristics module by interactive module; Use described feature induction module to gather user's characteristic in real time, and be sent to the user characteristics module as motion conditions information with this;
E. described decision-making module judges whether diet situation information, motion conditions information and the sleep quality information imported meet the health plan that is customized; If meet, then wait for monitoring and the statistical study of next time cycle; If do not meet, decision-making module is made final Health ﹠ Fitness Tip according to user's characteristic information, and sends the user to by interactive module.
2, the health intelligent management method based on the characteristics of human body according to claim 1, it is characterized in that: it also comprises the step of following reply emergency case:
I) emergency case triggers, promptly import solicited message to described decision-making module by interactive module, or the characteristic that collects such as pulse and blood pressure data being sent to the user characteristics module by described feature induction module, described decision-making module relatively this characteristic is judged and has been exceeded reasonable range;
II) described decision-making module is accepted the emergency case triggering, seeks whether there is solution according to the type of emergency case from corresponding database; If exist, then solution returned to the user.
3, the health intelligent management method based on the characteristics of human body according to claim 2, it is characterized in that: it also adopts communication module, and sets up the online query database in decision-making module; Described Step II) if there is no solution in, decision-making module then calls described communication module and is connected with network, and emergency case information is sent to long-range expert's service end; Long-range expert's service end returns corresponding solution and be stored in the online query database of decision-making module by network and communications module according to this information; Then, decision-making module sends this solution to user by interactive module.
4, the health intelligent management method based on the characteristics of human body according to claim 1 and 2 is characterized in that: described user's essential information comprises user's sex, age, height, body weight, the medical history and the present state of an illness in the past; Described characteristic comprises pulse and blood pressure data.
5, the health intelligent management method based on the characteristics of human body according to claim 1 is characterized in that: the described time cycle comprises day, week, Month And Year.
6, a kind of Health ﹠ Fitness Tip system based on the characteristics of human body is characterized in that comprising following modules:
Be used to store the user characteristics module of user basic information, diet situation information, motion conditions information and sleep quality information;
Be used to respond to the user characteristics of human body to characterize the feature induction module of user movement situation;
The interactive module that is used for input instruction data and solicited message, display process result and information;
Be used for storage decision-making data message, data are compared decision-making module with judgment processing, comprise diet policy database, motion policy database and sleep policy database;
Described interactive module is connected with user characteristics module, decision-making module; Described feature induction module, user characteristics module are connected successively with decision-making module.
7, the Health ﹠ Fitness Tip system based on the characteristics of human body according to claim 6 is characterized in that: it also comprises and is used for the communication module that is connected with network and the long-range expert's service end that is used to provide expert's solution; Described communication module is connected with decision-making module, and is connected to long-range expert's service end by network; Described decision-making module also comprises the online query database.
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| CN101938854A (en) * | 2010-08-30 | 2011-01-05 | 深圳市莱科电子技术有限公司 | Infant care device based on portable mobile equipment |
| CN101954143A (en) * | 2009-07-17 | 2011-01-26 | 夏普株式会社 | Improve the dormancy management method and the system of human or animal's sleep of care-giver's treatment |
| CN102799786A (en) * | 2012-07-25 | 2012-11-28 | 黄鹏 | Human body health monitoring system based on Internet of things and monitoring method for human body health monitoring system |
| CN102855372A (en) * | 2011-07-01 | 2013-01-02 | 王国梁 | Physiological state, diet and exercise planning suggestion management system |
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| CN104079655A (en) * | 2014-07-07 | 2014-10-01 | 成都天晗卓然科技有限公司 | Portable real-time ultraviolet radiation detection system and implementation method thereof |
| CN104541268A (en) * | 2012-03-22 | 2015-04-22 | 香港浸会大学 | Method and device for intelligent health care decision analysis and support |
| CN104887219A (en) * | 2015-05-23 | 2015-09-09 | 深圳市前海安测信息技术有限公司 | Primary-level medical care platform and heart disease patient monitoring method based on primary-level medical care platform |
| CN104933657A (en) * | 2015-06-24 | 2015-09-23 | 武汉炭联健康科技有限公司 | System for evaluating food and drug efficiency on the basis of evidence-based medicine and human body biological information |
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| CN105511277A (en) * | 2015-12-01 | 2016-04-20 | 小米科技有限责任公司 | Method and device for recommending drink |
| CN105718707A (en) * | 2014-12-01 | 2016-06-29 | 永悦健康管理顾问股份有限公司 | Fat reducing method |
| CN105808915A (en) * | 2014-12-30 | 2016-07-27 | 环达电脑(上海)有限公司 | Automatic adjustment method for exercise plan |
| CN106062754A (en) * | 2013-10-16 | 2016-10-26 | Zbh企业有限责任公司 | Method and system for health plan management |
| WO2016197452A1 (en) * | 2015-06-06 | 2016-12-15 | 深圳市华科安测信息技术有限公司 | Big data-based health management method and health management system |
| CN106570327A (en) * | 2016-11-04 | 2017-04-19 | 奚红娟 | Condition management system for babies with eczema |
| CN106682395A (en) * | 2016-12-02 | 2017-05-17 | 北京妙医佳信息技术有限公司 | Health promotion system and health promotion method |
| CN106874678A (en) * | 2017-02-21 | 2017-06-20 | 美的集团股份有限公司 | Health data processing method, system and intelligent terminal based on social networks |
| CN106886683A (en) * | 2017-02-22 | 2017-06-23 | 张家口浩扬科技有限公司 | A kind of health control method and system |
| CN107731275A (en) * | 2017-09-25 | 2018-02-23 | 上海斐讯数据通信技术有限公司 | A kind of method and system of dynamic adjustment health exercising plan |
| TWI625693B (en) * | 2015-11-26 | 2018-06-01 | Chunghwa Telecom Co Ltd | Personalized Health Improvement Program Methodology and Architecture |
| CN108922591A (en) * | 2017-12-29 | 2018-11-30 | 广州英丹网络科技有限公司 | A kind of management system suitable for East Asia human diet's Movement Sleep |
| CN109308938A (en) * | 2018-08-23 | 2019-02-05 | 上海爱丁医佳网络科技有限公司 | Stein-Leventhal syndrome living management system |
| CN110152275A (en) * | 2019-05-31 | 2019-08-23 | 浙江京泉智能科技有限公司 | An intelligent gymnastics training system |
| CN110459325A (en) * | 2019-07-01 | 2019-11-15 | 江苏环亚医用科技集团股份有限公司 | A kind of method and apparatus of health control |
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| CN112687392A (en) * | 2020-12-24 | 2021-04-20 | 深圳市智连众康科技有限公司 | AI-based intelligent alopecia decision method, device and computer-readable storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101954143A (en) * | 2009-07-17 | 2011-01-26 | 夏普株式会社 | Improve the dormancy management method and the system of human or animal's sleep of care-giver's treatment |
| CN101954143B (en) * | 2009-07-17 | 2013-01-16 | 夏普株式会社 | Sleep management method and system for improving sleep behaviour of human or animal in care of carer |
| CN101938854A (en) * | 2010-08-30 | 2011-01-05 | 深圳市莱科电子技术有限公司 | Infant care device based on portable mobile equipment |
| CN102855372A (en) * | 2011-07-01 | 2013-01-02 | 王国梁 | Physiological state, diet and exercise planning suggestion management system |
| CN104541268A (en) * | 2012-03-22 | 2015-04-22 | 香港浸会大学 | Method and device for intelligent health care decision analysis and support |
| CN102799786A (en) * | 2012-07-25 | 2012-11-28 | 黄鹏 | Human body health monitoring system based on Internet of things and monitoring method for human body health monitoring system |
| CN103577666A (en) * | 2012-07-26 | 2014-02-12 | 英华达（上海）科技有限公司 | Intake analyzing system and method |
| CN103699769A (en) * | 2012-09-27 | 2014-04-02 | 王国梁 | Physiological and motion management system taking weight difference and motion heartbeat rate as calculation references |
| CN102930487A (en) * | 2012-11-05 | 2013-02-13 | 江苏科技大学 | Intelligent dish order system and method |
| CN103440397A (en) * | 2013-05-31 | 2013-12-11 | 北京慧诚九州科技有限公司 | Data management system applying RFID pedometer and use method of data management system |
| CN106062754A (en) * | 2013-10-16 | 2016-10-26 | Zbh企业有限责任公司 | Method and system for health plan management |
| CN104079655A (en) * | 2014-07-07 | 2014-10-01 | 成都天晗卓然科技有限公司 | Portable real-time ultraviolet radiation detection system and implementation method thereof |
| CN105426374A (en) * | 2014-09-19 | 2016-03-23 | 重庆倚铭健康管理咨询有限公司 | Health data processing method, apparatus, and system |
| CN105718707A (en) * | 2014-12-01 | 2016-06-29 | 永悦健康管理顾问股份有限公司 | Fat reducing method |
| CN105808915A (en) * | 2014-12-30 | 2016-07-27 | 环达电脑(上海)有限公司 | Automatic adjustment method for exercise plan |
| CN104887219A (en) * | 2015-05-23 | 2015-09-09 | 深圳市前海安测信息技术有限公司 | Primary-level medical care platform and heart disease patient monitoring method based on primary-level medical care platform |
| WO2016197452A1 (en) * | 2015-06-06 | 2016-12-15 | 深圳市华科安测信息技术有限公司 | Big data-based health management method and health management system |
| CN104933657A (en) * | 2015-06-24 | 2015-09-23 | 武汉炭联健康科技有限公司 | System for evaluating food and drug efficiency on the basis of evidence-based medicine and human body biological information |
| TWI625693B (en) * | 2015-11-26 | 2018-06-01 | Chunghwa Telecom Co Ltd | Personalized Health Improvement Program Methodology and Architecture |
| CN105511277A (en) * | 2015-12-01 | 2016-04-20 | 小米科技有限责任公司 | Method and device for recommending drink |
| CN106570327A (en) * | 2016-11-04 | 2017-04-19 | 奚红娟 | Condition management system for babies with eczema |
| CN106682395A (en) * | 2016-12-02 | 2017-05-17 | 北京妙医佳信息技术有限公司 | Health promotion system and health promotion method |
| CN106874678A (en) * | 2017-02-21 | 2017-06-20 | 美的集团股份有限公司 | Health data processing method, system and intelligent terminal based on social networks |
| CN106886683A (en) * | 2017-02-22 | 2017-06-23 | 张家口浩扬科技有限公司 | A kind of health control method and system |
| CN107731275A (en) * | 2017-09-25 | 2018-02-23 | 上海斐讯数据通信技术有限公司 | A kind of method and system of dynamic adjustment health exercising plan |
| WO2019056605A1 (en) * | 2017-09-25 | 2019-03-28 | 上海斐讯数据通信技术有限公司 | Method and system for dynamically adjusting healthy exercise plan |
| CN108922591A (en) * | 2017-12-29 | 2018-11-30 | 广州英丹网络科技有限公司 | A kind of management system suitable for East Asia human diet's Movement Sleep |
| CN109308938A (en) * | 2018-08-23 | 2019-02-05 | 上海爱丁医佳网络科技有限公司 | Stein-Leventhal syndrome living management system |
| CN110152275A (en) * | 2019-05-31 | 2019-08-23 | 浙江京泉智能科技有限公司 | An intelligent gymnastics training system |
| CN110459325A (en) * | 2019-07-01 | 2019-11-15 | 江苏环亚医用科技集团股份有限公司 | A kind of method and apparatus of health control |
| CN110504034A (en) * | 2019-08-28 | 2019-11-26 | 首都医科大学 | Healthy lifestyle guidance system and method based on multi-information fusion |
| CN112687392A (en) * | 2020-12-24 | 2021-04-20 | 深圳市智连众康科技有限公司 | AI-based intelligent alopecia decision method, device and computer-readable storage medium |
| CN116019429A (en) * | 2021-10-27 | 2023-04-28 | 深圳宏芯宇电子股份有限公司 | Health monitoring method, device, equipment and storage medium based on physiological index |
| CN117038038A (en) * | 2023-08-18 | 2023-11-10 | 苏州仲如悦科技有限责任公司 | Intelligent early warning system is diagnose to patient based on healthy big data |
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