WO2018076619A1 - 基于物联网的健康状况评估系统及方法 - Google Patents
基于物联网的健康状况评估系统及方法 Download PDFInfo
- Publication number
- WO2018076619A1 WO2018076619A1 PCT/CN2017/080154 CN2017080154W WO2018076619A1 WO 2018076619 A1 WO2018076619 A1 WO 2018076619A1 CN 2017080154 W CN2017080154 W CN 2017080154W WO 2018076619 A1 WO2018076619 A1 WO 2018076619A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- user
- health
- information
- health assessment
- terminal device
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Ceased
Links
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Definitions
- the present invention relates to the field of health care, and in particular, to a health condition assessment system and method based on the Internet of Things.
- Hiratsuka can not only see your health at a glance, but also view historical trends. Most of the current remote health monitoring systems only give rough evaluation results for user-acquired measurement parameters. The evaluation results obtained are inaccurate, and are not comprehensively considered in combination with the environmental factors of the users, which reduces the accuracy of health risk assessment.
- the main objective of the present invention is to provide an Internet of Things-based health assessment system and method, which aims to solve the technical problem that the existing remote health monitoring system does not consider the environmental factors of the user and cause inaccurate health assessment results. .
- the present invention provides an Internet of Things-based health assessment system, which operates in a cloud server, which is connected to a medical terminal device through a communication network, and through a database connection and a health assessment model.
- the library connection, the IoT-based health assessment system includes:
- a health information collecting module configured to receive, from the medical terminal device, the health questionnaire information input by the user, And collecting physical sign data of the user through a vital sign sensor disposed on the medical terminal device;
- a health assessment module configured to obtain a health assessment model of the user from the health assessment model library according to the user's health questionnaire information and the vital sign data;
- a health correction module configured to acquire geographic location information of a user by using a location sensor disposed on the medical terminal device, and match an environmental information platform of the region where the user is located according to the geographic location information, from the environmental information platform Obtaining environmental information of a region where the user is located, and correcting the health assessment model according to the environmental information to obtain a health assessment report of the user;
- a health report output module configured to add a doctor's health improvement recommendation to the user's health assessment report to form a user's final health assessment report, and send the user's final health assessment report to the medical terminal device.
- the health information collection module is further configured to generate a health questionnaire interface and display the information on the medical terminal device for the user to input the health questionnaire information.
- the health condition correction module is specifically configured to analyze a health condition factor affecting a user's health condition from a user's health condition assessment model, and correct the user's health condition factor according to the user's environmental information to obtain a suitable user A health assessment model for the region, and a health assessment report for the user based on the revised health assessment model.
- the vital signs sensor includes a thermometer, an electrocardiograph, a body fat meter, a blood pressure meter, a blood glucose meter, and an oximeter for collecting a user's body temperature, ECG, fat content, blood pressure, blood sugar. And physical signs of blood oxygen.
- the environmental information includes environmental health information, traffic condition information, and weather information.
- the present invention also provides an Internet of Things-based health assessment method, which is applied to a cloud server, the cloud server is connected to a medical terminal device through a communication network, and is connected to a health assessment model library through a database connection.
- the method includes the steps of:
- the step of receiving the health questionnaire information input by the user from the medical terminal device comprises the following steps: generating a health questionnaire interface and displaying the information on the medical terminal device for the user to input the health questionnaire information.
- the step of correcting the user's health assessment model according to the user's environmental information to obtain the user's health assessment report comprises the following steps:
- the vital sign sensor comprises a sensor such as a thermometer, an electrocardiograph, a body fat meter, a blood pressure meter, a blood glucose meter, and an oximeter for collecting a user's body temperature, electrocardiogram, fat content, blood pressure, blood sugar. And physical signs of blood oxygen.
- a sensor such as a thermometer, an electrocardiograph, a body fat meter, a blood pressure meter, a blood glucose meter, and an oximeter for collecting a user's body temperature, electrocardiogram, fat content, blood pressure, blood sugar. And physical signs of blood oxygen.
- the environmental information includes environmental health information, traffic condition information, and weather information.
- the Internet of Things-based health assessment system and method of the present invention adopts the above technical solutions, and the technical effects brought by the invention are: acquiring physical information of the user and health questionnaire information based on the Internet of Things, according to the physical information of the user And the health questionnaire information generates a user's health assessment model, and can correct the user's health condition factor in combination with the user's environmental information, thereby obtaining a health assessment model suitable for the region in which the user is located, so the present invention can be truly adapted.
- the health assessment results of the actual situation of the user improve the accuracy and practicability of the health risk assessment.
- FIG. 1 is a schematic diagram of an application environment of a preferred embodiment of the Internet of Things-based health assessment system of the present invention
- FIG. 2 is a block diagram of a preferred embodiment of the Internet of Things-based health assessment system of the present invention
- FIG. 3 is a flow chart of a preferred embodiment of the Internet of Things based health assessment method of the present invention.
- FIG. 1 is a schematic diagram of an application environment of a preferred embodiment of the Internet of Things-based health assessment system of the present invention.
- the Internet of Things-based health assessment system 10 operates on a cloud server 1 through a communication communication network 3 and one or more medical terminal devices 2 (a medical terminal in FIG. 1)
- the device 2 is described as an example) a communication connection is established, and a data connection is established with the health assessment model library 4 via the database connection 5.
- the cloud server 1 is a server in a cloud platform or a cloud platform. Through the data transmission capability and data storage capability of the cloud server 1, the medical terminal device 2 can be better managed and/or assisted in processing and transmitting the user. Vital signs data and health risk assessment reports help users understand their health status.
- the medical terminal device 2 can set a user's home or a medical community center to facilitate the user to monitor the physical data and understand his or her health status.
- the medical terminal device 2 includes a vital sign sensor 21 and a position sensor 22, including, but not limited to, a thermometer, an electrocardiograph, a body fat meter, a blood pressure meter, a blood glucose meter, and blood oxygen.
- the sensor is used to collect physical data such as body temperature, ECG, fat content, blood pressure, blood sugar, and blood oxygen, and send the user's vital sign data to the cloud server 1 through the communication network 3.
- the location sensor 22 can be a GPS positioning unit for acquiring geographic location information of the user and transmitting the geographical location information of the user to the cloud server 1 through the communication network 3.
- the communication network 3 may be a wired communication network or a wireless communication network.
- the pass The communication network 3 is preferably a wireless communication network including, but not limited to, a GSM network, a GPRS network, a CDMA network, a TD-SCDMA network, a WiMAX network, a TD-LTE network, an FDD-LTE network, and the like.
- the health assessment model library 4 stores an evaluation model of various disease types common to the human body, for example, a chronic disease evaluation model including heart disease, hypertension, diabetes, and obesity.
- the database connection 5 can be an Open Database Connectivity (ODBC) or Java Data Base Connectivity (JDBC).
- ODBC Open Database Connectivity
- JDBC Java Data Base Connectivity
- the environmental information platform 6 is an environmental information monitoring platform respectively installed in each regional environmental monitoring center, and can provide local environmental information to the cloud server 1 .
- the cloud server 1 establishes a communication connection with the environment information platform 6 of each region through the communication network 3, and is configured to match the environment information platform 6 where the user is located according to the geographic location information of the user, and obtain the information from the matched environment information platform 6.
- User's environmental information includes, but is not limited to, environmental sanitation information, traffic condition information (such as urban traffic congestion conditions, environmental noise conditions), and meteorological information, and the meteorological information includes temperature (highest temperature and minimum temperature).
- Weather information such as wind direction winds (for example, southerly winds, northerly winds, etc.), weather conditions (for example, weather conditions such as fine weather, light rain, heavy rain, snow, heavy snow, etc.) and air quality levels (for example, PM 2.5 values) .
- the storage unit 11 may be a read only storage unit ROM, an electrically erasable storage unit EEPRO M, a flash storage unit FLASH or a solid hard disk.
- the processing unit 12 may be a central processing unit (CPU), a microcontroller (MCU), a data processing chip, or an information processing unit having a data processing function.
- CPU central processing unit
- MCU microcontroller
- data processing chip or an information processing unit having a data processing function.
- the communication unit 13 is a wireless communication interface with remote wireless communication functions, for example, supports communication technologies such as GSM, GPRS, WCDMA, CDMA, TD-SCDMA, WiMAX, TD-LTE, FDD-LT E, and the like. Communication interface.
- FIG. 2 is a block diagram of a preferred embodiment of the Internet of Things based health assessment system of the present invention.
- the Internet of Things-based health assessment system 10 includes, but is not limited to, a health information collection module 101, a health assessment module 102, a health correction module 103, and a health report output module 104.
- the term "module” as used in the present invention refers to a series of computer program instruction segments that can be executed by the processing unit 12 of the cloud server 1 and capable of performing fixed functions, which are stored. In the storage unit 11 of the cloud server 1.
- the health information collection module 101 is configured to receive health questionnaire information input by the user from the medical terminal device 2. Specifically, when the cloud server 1 establishes a communication connection with the medical terminal device 2, the health information collecting module 101 is further configured to generate a health questionnaire interface and display it on the medical terminal device 2 for the user to input the health questionnaire information. In this case, the user can input the health questionnaire information from the health questionnaire interface, and the health information collection module 101 receives the health questionnaire information input by the user from the health questionnaire interface through the communication unit 13, the health questionnaire information. Includes information such as user name, gender, age, lifestyle, eating habits, past medical history, family history, and more.
- the health information collection module 101 is further configured to collect the physical sign data of the user through the vital sign sensor 21 disposed on the medical terminal device 2.
- the vital sign sensor 21 includes, but is not limited to, a thermometer, an electrocardiograph, a body fat meter, a blood pressure meter, a blood glucose meter, and a oximeter.
- the user can measure the body temperature, the electrocardiogram, the fat content, the blood pressure, the blood sugar, and the blood oxygen and the like by the vital sign sensor 21, and the health information collecting module 101 receives the user vital sign data collected by the vital sign sensor 21 through the communication unit 13.
- the health assessment module 102 is configured to obtain a health assessment model of the user from the health assessment model library 4 according to the user's health questionnaire information and the vital sign data.
- the health assessment model library 4 may be set in a health management center and store an evaluation model of various disease types common to the human body, for example, including chronic diseases such as heart disease, hypertension, diabetes, and obesity. model.
- the health assessment module 102 can determine the health status of the user according to the user's vital data and the health questionnaire information (eg, past medical history or family medical history), and match the user from the health assessment model library 4 according to the user's health status. Health status assessment model.
- the health condition correction module 103 is configured to acquire the geographic location information of the user through the location sensor 22 disposed on the medical terminal device 2, and match the environmental information platform 6 of the region where the user is located according to the geographic location information of the user.
- the location sensor 22 acquires the geographic location of the medical terminal device 2 as the geographic location information of the user, and transmits the geographic location information of the user to the cloud server 1.
- the health status correction module 103 acquires the geographical location information of the user through the communication unit 13, and matches the environmental information platform 6 of the area where the user is located according to the geographic location information of the user.
- the environmental information includes, but is not limited to, environmental health information, traffic condition information (such as urban traffic congestion, environmental noise conditions) And weather information such as local temperature, wind direction, weather conditions and air quality
- the health status correction module 103 is further configured to obtain environment information of a region where the user is located from the matched environment information platform 6, and correct the user's health status assessment model according to the user's environmental information to obtain the user's health. Evaluation Report.
- environmental factors have an impact on human health conditions. For example, environmental sanitation (such as drinking water, food hygiene, etc.) directly affects human health. Urban traffic congestion and environmental noise generally affect people's lives. Emotions (such as causing emotional anxiety), weather conditions can affect the disease of certain organs of the human body (such as wet weather may cause joint pain).
- the health status correction module 103 parses the health condition factor affecting the user's health status from the user's health status assessment model, and corrects the user's health status factor according to the user's environmental information to obtain an area suitable for the user's location.
- the health status assessment model generates a user's health assessment report based on the revised health status assessment model. Since the health condition correction module 103 can correct the health condition factor of the user in combination with the user's environmental information, thereby obtaining a health condition evaluation model suitable for the area where the user is located, the present invention can obtain a health assessment result that is truly suitable for the actual situation of the user, and improve The accuracy and practicality of the health risk assessment.
- the health report output module 104 is configured to add a doctor's health improvement suggestion to the user's health assessment report to form a user's final health assessment report, and send the user's final health assessment report to the medical terminal device 2.
- the doctor's health improvement suggestion is given by the doctor according to the user's health condition and stored in the storage unit 11 of the cloud server, including dietary habit suggestions, exercise suggestions, lifestyle suggestions, and medical treatment at the hospital. Suggest.
- the health report output module 104 transmits the health assessment report of the user to the medical terminal device 2 through the communication unit 13 to the communication network 3, so that the user can browse or print the user's health assessment report, so that the user can understand his or her health. situation.
- FIG. 3 it is a flowchart of a preferred embodiment of the Internet of Things-based health assessment method of the present invention.
- the Internet of Things-based health assessment method is applied to the cloud server 1, and as shown in FIG. 1 and FIG. 2, the method includes the following steps:
- Step S31 Receive health questionnaire information input by the user from the medical terminal device. Specifically, the health information collection module 101 receives the health questionnaire information input by the user from the medical terminal device 2.
- This step S 31 further includes the following: When the cloud server 1 establishes a communication connection with the medical terminal device 2, the health information collecting module 101 generates a health questionnaire interface and displays it on the medical terminal device 2 for the user to input health questionnaire information.
- the user can input the health questionnaire information from the health questionnaire interface, and the health information collection module 101 receives the health questionnaire information input by the user from the health questionnaire interface through the communication unit 13, the health questionnaire information. Includes information such as user name, gender, age, lifestyle, eating habits, past medical history, family history, and more.
- Step S32 collecting physical vitals data of the user by using the vital sign sensor disposed on the medical terminal device.
- the health information collecting module 101 collects the physical vitality data of the user through the vital sign sensor 21 disposed on the medical terminal device 2.
- the vital sign sensor 21 includes, but is not limited to, a sensor such as a thermometer, an electrocardiograph, a body fat meter, a blood pressure meter, a blood glucose meter, and an oximeter.
- the user can measure the body temperature, the electrocardiogram, the fat content, the blood pressure, the blood sugar, and the blood oxygen and other vital signs data of the user through the sensor 21, and the health information collecting module 101 receives the user's physical data collected by the vital sign sensor 21 through the communication unit 13.
- Step S33 obtaining a health condition assessment model from the health assessment model library according to the user's health questionnaire information and the vital sign data; specifically, the health condition assessment module 102 is based on the user's health questionnaire information and the vital sign data from the health
- the evaluation model library 4 obtains the user's health assessment model.
- the health assessment model library 4 is set in the health management center and stores an evaluation model of various disease types common to the human body, for example, a chronic disease evaluation model including heart disease, hypertension, diabetes, and obesity. .
- the health assessment module 102 can determine the health status of the user according to the user's vital data and combined with the health questionnaire information (eg, past medical history or family medical history), and match the user from the health assessment model library 4 according to the user's health status. Health status assessment model.
- the health questionnaire information eg, past medical history or family medical history
- Step S34 acquiring the geographical location information of the user by using the location sensor disposed on the medical terminal device; specifically, the health condition correction module 103 acquires the geographic location information of the user through the location sensor 22 disposed on the medical terminal device 2.
- the location sensor 22 acquires the geographic location of the medical terminal device 2 as the geographic location information of the user, and transmits the geographic location information of the user to the cloud server 1.
- the health status correction module 103 acquires geographic location information of the user through the communication unit 13, and the environmental information includes, but is not limited to, environmental health information, traffic condition information (eg, urban traffic congestion, environmental noise conditions), and weather information (eg, Local temperature, wind direction, weather conditions And air quality) and other information.
- traffic condition information eg, urban traffic congestion, environmental noise conditions
- weather information eg, Local temperature, wind direction, weather conditions And air quality
- Step S35 matching the environmental information platform of the area where the user is located according to the geographic location information of the user, and obtaining the environmental information of the area where the user is located from the environmental information platform; specifically, the health status correction module 103 is based on the user's
- the geographical location information matches the environmental information platform 6 of the area where the user is located, and obtains the environmental information of the area where the user is located from the matched environmental information platform 6.
- the environmental monitoring center of each area is provided with an environmental information platform 6, which can monitor the environmental conditions of each area and provide environmental information of each place to the cloud server.
- the environmental information includes, but is not limited to, environmental health information, traffic condition information (e.g., urban traffic congestion, environmental noise conditions), and weather information (e.g., local temperature, wind direction, weather conditions, and air quality).
- Step S36 the user's health assessment model is corrected according to the user's environmental information to obtain the user's health assessment report.
- the health correction module 103 corrects the user's health assessment model according to the user's environmental information.
- User's health assessment report Generally, environmental factors have an impact on human health conditions. For example, environmental sanitation (such as drinking water, food hygiene, etc.) directly affects human health. Urban traffic congestion and environmental noise generally affect people's lives. Emotions (such as causing emotional anxiety), weather conditions can affect the disease of certain organs of the human body (such as wet weather may cause joint pain).
- the step of correcting the user's health assessment model according to the user's environmental information to obtain the user's health assessment report includes the following steps: analyzing the health status of the user's health status from the user's health assessment model The factor combines the health condition factor of the user according to the user's environmental information to obtain a health assessment model suitable for the region in which the user is located, and generates a health assessment report of the user according to the revised health assessment model.
- Step S37 adding a health improvement suggestion to the user's health assessment report to form a final health assessment report of the user, and transmitting the final health assessment report of the user to the medical terminal device; specifically, the health report output module 104 will be a doctor
- the health improvement suggestion is added to the user's health assessment report to form the user's final health assessment report, and the user's health assessment report is sent to the medical terminal device 2.
- the doctor's health improvement suggestion is given by the doctor according to the user's health condition and stored in the storage unit 11 of the cloud server, including dietary habit suggestions, exercise suggestions, lifestyle suggestions, and medical treatment at the hospital. Suggest.
- the health report output module 104 transmits the communication to the communication through the communication unit 13.
- the network 3 sends the user's final health assessment report to the medical terminal device 2 for the user to browse or print the user's health assessment report, so that the user knows his or her health condition.
- the Internet of Things-based health assessment system and method of the present invention uses a medical terminal device (including a vital sign sensor and a location sensor) installed in a user's home or social welfare center to connect to a cloud server of a health management center via the Internet.
- the user's health assessment model can be generated according to the user's vital information and the health questionnaire information, and the user's health condition factor can be corrected according to the user's environmental information, thereby obtaining a health assessment model suitable for the user's region. Therefore, the present invention can obtain a health assessment result that is truly suitable for the actual situation of the user, and improves the accuracy and practicability of the health risk assessment.
- the Internet of Things-based health assessment system and method of the present invention adopts the above technical solutions, and the technical effects are as follows:
- the physical information of the user and the health questionnaire information can be obtained based on the Internet of Things, according to the physical information of the user.
- the health questionnaire information generates a user's health assessment model, and can correct the user's health condition factor in combination with the user's environmental information, thereby obtaining a health assessment model suitable for the region in which the user is located, so the present invention can be truly adapted.
- the health assessment results of the actual situation of the user improve the accuracy and practicability of the health risk assessment.
Landscapes
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Epidemiology (AREA)
- Pathology (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Biomedical Technology (AREA)
- Primary Health Care (AREA)
- Computing Systems (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
本发明提供一种基于物联网的健康状况评估系统及方法,该方法包括步骤:从医疗终端设备接收用户的健康问卷调查信息;通过设置在医疗终端设备的体征传感器采集用户的体征数据;根据健康问卷调查信息和体征数据从健康评估模型库获取健康状况评估模型;通过设置在医疗终端设备的位置传感器获取用户的地理位置信息;根据地理位置信息匹配出用户所处区域的环境信息平台,并从环境信息平台获取用户的环境信息,根据环境信息对健康状况评估模型进行修正得到用户的健康评估报告;将医生的健康改善建议添加至健康评估报告,并将健康评估报告发送至医疗终端设备。本发明能够结合用户所处的环境因素对用户的健康状况进行评估,提高评估结果的准确性。
Description
基于物联网的健康状况评估系统及方法 技术领域
[0001] 本发明涉及健康医疗领域, 尤其涉及一种基于物联网的健康状况评估系统及方 法。
背景技术
[0002] 随着社会快速发展、 生活节奏越来越快、 人们生活水平的提高, 人们对于身体 健康的关注程度也越来越高。 影响健康的因素很多, 如: 合理科学的运动, 舒 畅的心情, 良好的饮食习惯以及生活习惯, 当然还有另外一个很重要的因素就 是环境因素, 健康不仅仅是有病的吋候去医院就能保证的。 现在人们更注重于 平吋健康的生活方式, 使自己保持在一个良好的状态。 近些年远程健康监护系 统应运而生, 平吋人们可以通过一些移动测量设备, 例如心电仪、 体脂仪、 血 压计、 血糖仪、 血氧仪等对人体进行监测, 上传到服务器端, 操作简单方便。 平吋既能对自己的健康状况一目了然, 并能査看一定吋间的历史趋势。 当前的 远程健康监护系统大多只是针对用户上传的测量参数给出粗略的评估结果, 这 样得到的评估结果不准确, 没有结合用户所处的环境因素进行综合考虑, 降低 了健康风险评估的准确性。
技术问题
[0003] 本发明的主要目的在于提供一种基于物联网的健康状况评估系统及方法, 旨在 解决现有远程健康监护系统没有考虑用户所处的环境因素而造成健康评估结果 不准确的技术问题。
问题的解决方案
技术解决方案
[0004] 为实现上述目的, 本发明提供了一种基于物联网的健康状况评估系统, 运行于 云服务器中, 所述云服务器通过通信网络与医疗终端设备连接, 以及通过数据 库连接与健康评估模型库连接, 所述基于物联网的健康状况评估系统包括:
[0005] 健康信息采集模块, 用于从医疗终端设备接收用户输入的健康问卷调査信息,
以及通过设置在医疗终端设备上的体征传感器采集用户的体征数据;
[0006] 健康状况评估模块, 用于根据用户的健康问卷调査信息和体征数据从健康评估 模型库中获取用户的健康状况评估模型;
[0007] 健康状况修正模块, 用于通过设置在医疗终端设备上的位置传感器获取用户的 地理位置信息, 根据所述地理位置信息匹配出用户所处区域的环境信息平台, 从所述环境信息平台中获取用户所处区域的环境信息, 以及根据所述环境信息 对所述健康状况评估模型进行修正得到用户的健康评估报告;
[0008] 健康报告输出模块, 用于将医生的健康改善建议添加至用户的健康评估报告中 形成用户的最终健康评估报告, 以及将用户的最终健康评估报告发送至医疗终 端设备。
[0009] 优选的, 所述健康信息采集模块还用于一个产生健康问卷调査界面并显示在医 疗终端设备上供用户输入所述健康问卷调査信息。
[0010] 优选的, 所述健康状况修正模块具体用于从用户的健康状况评估模型中解析影 响用户健康状况的健康状况因子, 根据用户的环境信息对用户的健康状况因子 进行修正得到适合用户所处区域的健康状况评估模型, 并根据修正的健康状况 评估模型产生用户的健康评估报告。
[0011] 优选的, 所述体征传感器包括体温计、 心电仪、 体脂仪、 血压计、 血糖仪以及 血氧仪等传感器, 用于采集包含用户的体温、 心电、 脂肪含量、 血压、 血糖以 及血氧的体征数据。
[0012] 优选的, 所述环境信息包括环境卫生信息、 交通状况信息以及气象信息。
[0013] 本发明还提供了一种基于物联网的健康状况评估方法, 应用于云服务器中, 所 述云服务器通过通信网络与医疗终端设备连接, 以及通过数据库连接与健康评 估模型库连接, 该方法包括步骤:
[0014] 从医疗终端设备接收用户输入的健康问卷调査信息;
[0015] 通过设置在医疗终端设备上的体征传感器采集用户的体征数据;
[0016] 根据用户的健康问卷调査信息和体征数据从健康评估模型库中获取用户的健康 状况评估模型;
[0017] 通过设置在医疗终端设备上的位置传感器获取用户的地理位置信息;
[0018] 根据所述地理位置信息匹配出用户所处区域的环境信息平台, 并从所述环境信 息平台中获取用户所处区域的环境信息;
[0019] 根据所述环境信息对所述健康状况评估模型进行修正得到用户的健康评估报告
[0020] 将医生的健康改善建议添加至用户的健康评估报告中形成用户的最终健康评估 报告, 并将用户的最终健康评估报告发送至医疗终端设备。
[0021] 优选的, 所述从医疗终端设备接收用户输入的健康问卷调査信息的步骤包括如 下步骤: 产生一个健康问卷调査界面并显示在医疗终端设备上供用户输入所述 健康问卷调査信息。
[0022] 优选的, 所述根据用户的环境信息对用户的健康状况评估模型进行修正得到用 户的健康评估报告的步骤包括如下步骤:
[0023] 从用户的健康状况评估模型中解析影响用户健康状况的健康状况因子;
[0024] 根据用户的环境信息对用户的健康状况因子进行修正得到适合用户所处区域的 健康状况评估模型;
[0025] 根据修正的健康状况评估模型产生用户的健康评估报告。
[0026] 优选的, 所述体征传感器包括体温计、 心电仪、 体脂仪、 血压计、 血糖仪以及 血氧仪等传感器, 用于采集包含用户的体温、 心电、 脂肪含量、 血压、 血糖以 及血氧的体征数据。
[0027] 优选的, 所述环境信息包括环境卫生信息、 交通状况信息以及气象信息。
发明的有益效果
有益效果
[0028] 本发明所述基于物联网的健康状况评估系统及方法采用上述技术方案, 带来的 技术效果为: 能够基于物联网获取用户的体征信息以及健康问卷调査信息, 根 据用户的体征信息以及健康问卷调査信息生成用户的健康状况评估模型, 并能 够结合用户的环境信息对用户的健康状况因子进行修正, 从而得到适合用户所 处区域的健康状况评估模型, 因此本发明能够得到真正适合用户实际情况的健 康评估结果, 提高了健康风险评估的准确性与实用性。
对附图的简要说明
附图说明
[0029] 图 1是本发明基于物联网的健康状况评估系统优选实施例的应用环境示意图; [0030] 图 2是本发明基于物联网的健康状况评估系统优选实施例的模块示意图;
[0031] 图 3是本发明基于物联网的健康状况评估方法优选实施例的流程图。
[0032] 本发明目的的实现、 功能特点及优点将结合实施例, 参照附图做进一步说明。
实施该发明的最佳实施例
本发明的最佳实施方式
[0033] 为更进一步阐述本发明为达成预定发明目的所采取的技术手段及功效, 以下结 合附图及较佳实施例, 对本发明的具体实施方式、 结构、 特征及其功效, 详细 说明如下。 应当理解, 此处所描述的具体实施例仅仅用以解释本发明, 并不用 于限定本发明。
[0034] 参照图 1所示, 图 1是本发明基于物联网的健康状况评估系统优选实施例的应用 环境示意图。 在本实施例中, 所述基于物联网的健康状况评估系统 10运行于云 服务器 1, 所述云服务器 1通过通信通信网络 3与一个或多个医疗终端设备 2 (图 1 中以一个医疗终端设备 2为例进行说明) 建立通信连接, 以及通过数据库连接 5 与健康评估模型库 4建立数据连接。 所述云服务器 1是一种云平台或云平台中的 一台服务器, 通过云服务器 1的数据传输能力及数据存储能力, 可以更好地管理 及 /或协助医疗终端设备 2处理与传输用户的体征数据以及健康风险评估报告, 有 利于用户了解自身的健康状况。
[0035] 所述医疗终端设备 2可以设置用户的家庭或者医疗社康中心, 方便用户监测体 征数据并对及吋了解自己的健康状况。 在本实施例中, 所述医疗终端设备 2包括 体征传感器 21以及位置传感器 22, 所述体征传感器 21包括, 但不仅限于, 体温 计、 心电仪、 体脂仪、 血压计、 血糖仪以及血氧仪等传感器, 用于采集用户的 体温、 心电、 脂肪含量、 血压、 血糖以及血氧等体征数据, 并将用户的体征数 据通过通信网络 3发送至云服务器 1。 所述位置传感器 22可以为一种 GPS定位单元 , 用于获取用户的地理位置信息并将用户的地理位置信息通过通信网络 3发送至 云服务器 1。
[0036] 所述通信网络 3可以是有线通信网络或无线通信网络。 在本实施例中, 所述通
信网络 3优选为无线通信网络, 包括但不限于, GSM网络、 GPRS网络、 CDMA 网络、 TD-SCDMA网络、 WiMAX网络、 TD-LTE网络、 FDD-LTE网络等无线传 输网络。
[0037] 所述健康评估模型库 4存储有人体常见的各种疾病类型的评估模型, 例如, 包 括心脏病、 高血压、 糖尿病、 肥胖症等慢病评估模型。 所述数据库连接 5可以为 一种幵放数据库连接 (Open Database Connectivity, ODBC) 或者 Java数据库连 接 (Java Data Base Connectivity, JDBC) 等。
[0038] 所述环境信息平台 6为分别设置在各地区环境监测中心的环境信息监测平台, 能够将各地的环境信息提供给云服务器 1。 所述云服务器 1通过所述通信网络 3与 各地区的环境信息平台 6建立通信连接, 用于根据用户的地理位置信息匹配用户 所处的环境信息平台 6, 以及从匹配的环境信息平台 6获取用户的环境信息。 具 体地说, 所述环境信息包括, 但不仅限于, 环境卫生信息、 交通状况信息 (例 如城市交通拥堵情况、 环境噪音情况) 以及气象信息等, 所述气象信息包括温 度 (最高气温及最低气温) 、 风向风力 (例如, 偏南风、 偏北风等) 、 天气情 况 (例如, 天晴、 小雨、 大雨、 雪、 大雪等天气情况) 、 及空气质量等级 (例 如, PM 2.5值) 等天气信息。
[0039] 所述的存储单元 11可以为一种只读存储单元 ROM, 电可擦写存储单元 EEPRO M、 快闪存储单元 FLASH或固体硬盘等。
[0040] 所述的处理单元 12可以为一种中央处理器 (Central Processing Unit, CPU) 、 微控制器 (MCU) 、 数据处理芯片、 或者具有数据处理功能的信息处理单元。
[0041] 所述的通信单元 13为一种具有远程无线通讯功能的无线通讯接口, 例如, 支持 GSM、 GPRS、 WCDMA、 CDMA、 TD-SCDMA、 WiMAX、 TD-LTE、 FDD-LT E等通讯技术的通讯接口。
[0042] 参照图 2所示, 图 2是本发明基于物联网的健康状况评估系统的优选实施例的模 块示意图。 在本实施例中, 所述的基于物联网的健康状况评估系统 10包括, 但 不局限于, 健康信息采集模块 101、 健康状况评估模块 102、 健康状况修正模块 1 03以及健康报告输出模块 104。 本发明所称的模块是指一种能够被所述云服务器 1的处理单元 12执行并且能够完成固定功能的一系列计算机程序指令段, 其存储
在所述云服务器 1的存储单元 11中。
[0043] 所述健康信息采集模块 101用于从医疗终端设备 2接收用户输入的健康问卷调査 信息。 具体地, 当云服务器 1与医疗终端设备 2建立通信连接吋, 健康信息采集 模块 101还用于产生健康问卷调査界面并显示在医疗终端设备 2上以供用户输入 健康问卷调査信息。 此吋, 用户可以从健康问卷调査界面输入健康问卷调査信 息, 健康信息采集模块 101通过通信单元 13接收用户从健康问卷调査界面输入的 健康问卷调査信息, 所述健康问卷调査信息包括用户姓名、 性别、 年齢、 生活 习惯、 饮食习惯、 既往病史、 家族病史等信息。
[0044] 所述健康信息采集模块 101还用于通过设置在医疗终端设备 2上的体征传感器 21 采集用户的体征数据。 在本实施例中, 所述体征传感器 21包括, 但不仅限于, 体温计、 心电仪、 体脂仪、 血压计、 血糖仪以及血氧仪等传感器。 用户可以通 过体征传感器 21测量用户的体温、 心电、 脂肪含量、 血压、 血糖以及血氧等体 征数据, 此吋健康信息采集模块 101通过通信单元 13接收体征传感器 21采集的用 户体征数据。
[0045] 所述健康状况评估模块 102用于根据用户的健康问卷调査信息和体征数据从健 康评估模型库 4中获取用户的健康状况评估模型。 在本实施例中, 所述健康评估 模型库 4可设置在健康管理中心并存储有人体常见的各种疾病类型的评估模型, 例如, 包括心脏病、 高血压、 糖尿病、 肥胖症等慢病评估模型。 所述健康状况 评估模块 102可根据用户的体征数据并结合健康问卷调査信息 (例如既往病史或 家族病史) 确定用户的健康状况, 并根据用户的健康状况从健康评估模型库 4中 匹配出用户的健康状况评估模型。
[0046] 所述健康状况修正模块 103用于通过设置在医疗终端设备 2上的位置传感器 22获 取用户的地理位置信息, 以及根据用户的地理位置信息匹配出用户所处区域的 环境信息平台 6。 在本实施例中, 所述位置传感器 22获取医疗终端设备 2的地理 位置作为用户的地理位置信息, 并将用户的地理位置信息发送至云服务器 1。 所 述健康状况修正模块 103通过通信单元 13获取用户的地理位置信息, 并根据用户 的地理位置信息匹配出用户所处区域的环境信息平台 6。 所述环境信息包括, 但 不仅限于, 环境卫生信息、 交通状况信息 (例如城市交通拥堵、 环境噪音情况
) 以及气象信息 (例如当地温度、 风向风力、 天气情况以及空气质量) 等信息
[0047] 所述健康状况修正模块 103还用于从匹配出的环境信息平台 6中获取用户所处区 域的环境信息, 并根据用户的环境信息对用户的健康状况评估模型进行修正得 到用户的健康评估报告。 一般地, 由于环境因素会对人体健康状况产生影响, 例如环境卫生情况 (例如饮水、 饮食卫生等) 会直接影响到人体健康状况, 城 市交通拥堵状况与环境噪音情况一般会影响到人们生活的心理情绪 (例如造成 情绪焦虑) , 天气情况会影响到人体某些器官的病变情况 (例如潮湿天气可能 引起关节疼痛) 等。 在本实施例中, 健康状况修正模块 103从用户的健康状况评 估模型中解析影响用户健康状况的健康状况因子, 结合根据用户的环境信息对 用户的健康状况因子进行修正得到适合用户所处区域的健康状况评估模型, 并 根据修正的健康状况评估模型产生用户的健康评估报告。 由于健康状况修正模 块 103能够结合用户的环境信息对用户的健康状况因子进行修正, 从而得到适合 用户所处区域的健康状况评估模型, 因此本发明能够得到真正适合用户实际情 况的健康评估结果, 提高了健康风险评估的准确性与实用性。
[0048] 所述健康报告输出模块 104用于将医生的健康改善建议添加至用户的健康评估 报告中形成用户的最终健康评估报告, 以及将用户的最终健康评估报告发送至 医疗终端设备 2。 在本实施例中, 所述医生的健康改善建议由医生根据用户的健 康状况给出并存储在云服务器的存储单元 11中, 包括饮食习惯建议、 运动建议 、 生活习惯建议以及到医院进行就医等建议。 所述健康报告输出模块 104通过通 信单元 13传输至通信网络 3将用户的健康评估报告发送至医疗终端设备 2, 以供 用户浏览或者打印用户的健康评估报告, 从而使得用户及吋了解自己的健康状 况。
[0049] 参照图 3所示, 是本发明基于物联网的健康状况评估方法的优选实施例的流程 图。 在本实施例中, 所述的基于物联网的健康状况评估方法应用于云服务器 1, 结合图 1和图 2所示, 该方法包括以下步骤:
[0050] 步骤 S31, 从医疗终端设备接收用户输入的健康问卷调査信息; 具体地, 健康 信息采集模块 101从医疗终端设备 2接收用户输入的健康问卷调査信息。 该步骤 S
31还包括如下: 当云服务器 1与医疗终端设备 2建立通信连接吋, 健康信息采集 模块 101产生一个健康问卷调査界面并显示在医疗终端设备 2上以供用户输入健 康问卷调査信息。 此吋, 用户可以从健康问卷调査界面输入健康问卷调査信息 , 健康信息采集模块 101通过通信单元 13接收用户从健康问卷调査界面输入的健 康问卷调査信息, 所述健康问卷调査信息包括用户姓名、 性别、 年齢、 生活习 惯、 饮食习惯、 既往病史、 家族病史等信息。
[0051] 步骤 S32, 通过设置在医疗终端设备上的体征传感器采集用户的体征数据; 具 体地, 健康信息采集模块 101通过设置在医疗终端设备 2上的体征传感器 21采集 用户的体征数据。 在本实施例中, 所述体征传感器 21包括, 但不仅限于, 体温 计、 心电仪、 体脂仪、 血压计、 血糖仪以及血氧仪等传感器。 用户可以通过体 征传感器 21测量用户的体温、 心电、 脂肪含量、 血压、 血糖以及血氧等体征数 据, 此吋健康信息采集模块 101通过通信单元 13接收体征传感器 21采集的用户体 征数据。
[0052] 步骤 S33, 根据用户的健康问卷调査信息和体征数据从健康评估模型库中获取 健康状况评估模型; 具体地, 健康状况评估模块 102根据用户的健康问卷调査信 息和体征数据从健康评估模型库 4中获取用户的健康状况评估模型。 在本实施例 中, 所述健康评估模型库 4设置在健康管理中心并存储有人体常见的各种疾病类 型的评估模型, 例如, 包括心脏病、 高血压、 糖尿病、 肥胖症等慢病评估模型 。 所述健康状况评估模块 102可根据用户的体征数据并结合健康问卷调査信息 ( 例如既往病史或家族病史) 确定用户的健康状况, 并根据用户的健康状况从健 康评估模型库 4中匹配出用户的健康状况评估模型。
[0053] 步骤 S34, 通过设置在医疗终端设备上的位置传感器获取用户的地理位置信息 ; 具体地, 健康状况修正模块 103通过设置在医疗终端设备 2上的位置传感器 22 获取用户的地理位置信息。 在本实施例中, 所述位置传感器 22获取医疗终端设 备 2的地理位置作为用户的地理位置信息, 并将用户的地理位置信息发送至云服 务器 1。 所述健康状况修正模块 103通过通信单元 13获取用户的地理位置信息, 所述环境信息包括, 但不仅限于, 环境卫生信息、 交通状况信息 (例如城市交 通拥堵、 环境噪音情况) 以及气象信息 (例如当地温度、 风向风力、 天气情况
以及空气质量) 等信息。
[0054] 步骤 S35, 根据用户的地理位置信息匹配出用户所处区域的环境信息平台, 并 从环境信息平台中获取用户所处区域的环境信息; 具体地, 健康状况修正模块 1 03根据用户的地理位置信息匹配出用户所处区域的环境信息平台 6, 并从匹配出 的环境信息平台 6中获取用户所处区域的环境信息。 在本实施例中, 每一个地区 的环境监测中心均设置有环境信息平台 6, 能够监测各地区的环境情况, 并将各 地的环境信息提供给云服务器 1。 所述环境信息包括, 但不仅限于, 环境卫生信 息、 交通状况信息 (例如城市交通拥堵、 环境噪音情况) 以及气象信息 (例如 当地温度、 风向风力、 天气情况以及空气质量) 等信息。
[0055] 步骤 S36, 根据用户的环境信息对用户的健康状况评估模型进行修正得到用户 的健康评估报告; 具体地, 健康状况修正模块 103根据用户的环境信息对用户的 健康状况评估模型进行修正得到用户的健康评估报告。 一般地, 由于环境因素 会对人体健康状况产生影响, 例如环境卫生情况 (例如饮水、 饮食卫生等) 会 直接影响到人体健康状况, 城市交通拥堵状况与环境噪音情况一般会影响到人 们生活的心理情绪 (例如造成情绪焦虑) , 天气情况会影响到人体某些器官的 病变情况 (例如潮湿天气可能引起关节疼痛) 等。 在本实施例中, 所述根据用 户的环境信息对用户的健康状况评估模型进行修正得到用户的健康评估报告的 步骤包括如下步骤: 从用户的健康状况评估模型中解析影响用户健康状况的健 康状况因子, 结合根据用户的环境信息对用户的健康状况因子进行修正得到适 合用户所处区域的健康状况评估模型, 并根据修正的健康状况评估模型产生用 户的健康评估报告。
[0056] 步骤 S37, 将健康改善建议添加至用户的健康评估报告中形成用户的最终健康 评估报告, 并将用户的最终健康评估报告发送至医疗终端设备; 具体地, 健康 报告输出模块 104将医生的健康改善建议添加至用户的健康评估报告中形成用户 的最终健康评估报告, 并将用户的健康评估报告发送至医疗终端设备 2。 在本实 施例中, 所述医生的健康改善建议由医生根据用户的健康状况给出并存储在云 服务器的存储单元 11中, 包括饮食习惯建议、 运动建议、 生活习惯建议以及到 医院进行就医等建议。 此外, 健康报告输出模块 104通过通信单元 13传输至通信
网络 3将用户的最终健康评估报告发送至医疗终端设备 2, 以供用户浏览或者打 印用户的健康评估报告, 从而使得用户及吋了解自己的健康状况。
[0057] 本发明所述基于物联网的健康状况评估系统及方法利用设置在用户家庭或者社 康中心等地的医疗终端设备 (包括体征传感器以及位置传感器) 通过互联网连 接至健康管理中心的云服务器上, 能够根据用户的体征信息以及健康问卷调査 信息生成用户的健康状况评估模型, 并能够结合用户的环境信息对用户的健康 状况因子进行修正, 从而得到适合用户所处区域的健康状况评估模型, 因此本 发明能够得到真正适合用户实际情况的健康评估结果, 提高了健康风险评估的 准确性与实用性。
[0058] 以上仅为本发明的优选实施例, 并非因此限制本发明的专利范围, 凡是利用本 发明说明书及附图内容所作的等效结构或等效流程变换, 或直接或间接运用在 其他相关的技术领域, 均同理包括在本发明的专利保护范围内。
工业实用性
[0059] 本发明所述基于物联网的健康状况评估系统及方法采用上述技术方案, 带来的 技术效果为: 能够基于物联网获取用户的体征信息以及健康问卷调査信息, 根 据用户的体征信息以及健康问卷调査信息生成用户的健康状况评估模型, 并能 够结合用户的环境信息对用户的健康状况因子进行修正, 从而得到适合用户所 处区域的健康状况评估模型, 因此本发明能够得到真正适合用户实际情况的健 康评估结果, 提高了健康风险评估的准确性与实用性。
Claims
[权利要求 1] 一种基于物联网的健康状况评估系统, 运行于云服务器中, 所述云服 务器通过通信网络与医疗终端设备连接, 以及通过数据库连接与健康 评估模型库连接, 其特征在于, 该系统包括: 健康信息采集模块, 用 于从医疗终端设备接收用户输入的健康问卷调査信息, 以及通过设置 在医疗终端设备上的体征传感器采集用户的体征数据; 健康状况评估 模块, 用于根据用户的健康问卷调査信息和体征数据从健康评估模型 库中获取用户的健康状况评估模型; 健康状况修正模块, 用于通过设 置在医疗终端设备上的位置传感器获取用户的地理位置信息, 根据所 述地理位置信息匹配出用户所处区域的环境信息平台, 从所述环境信 息平台中获取用户所处区域的环境信息, 以及根据所述环境信息对所 述健康状况评估模型进行修正得到用户的健康评估报告; 健康报告输 出模块, 用于将医生的健康改善建议添加至用户的健康评估报告中形 成用户的最终健康评估报告, 以及将用户的最终健康评估报告发送至 医疗终端设备。
[权利要求 2] 如权利要求 1所述的基于物联网的健康状况评估系统, 其特征在于, 所述健康信息采集模块还用于产生一个健康问卷调査界面并显示在医 疗终端设备上供用户输入所述健康问卷调査信息。
[权利要求 3] 如权利要求 1所述的基于物联网的健康状况评估系统, 其特征在于, 所述健康状况修正模块具体用于从用户的健康状况评估模型中解析影 响用户健康状况的健康状况因子, 根据用户的环境信息对用户的健康 状况因子进行修正得到适合用户所处区域的健康状况评估模型, 并根 据修正的健康状况评估模型产生用户的健康评估报告。
[权利要求 4] 如权利要求 1所述的基于物联网的健康状况评估系统, 其特征在于, 所述体征传感器包括体温计、 心电仪、 体脂仪、 血压计、 血糖仪以及 血氧仪等传感器, 用于采集包含用户的体温、 心电、 脂肪含量、 血压 、 血糖以及血氧的体征数据。
[权利要求 5] 如权利要求 1至 4任一项所述的基于物联网的健康状况评估系统, 其特
征在于, 所述环境信息包括环境卫生信息、 交通状况信息以及气象信 息。
[权利要求 6] —种基于物联网的健康状况评估方法, 应用于云服务器中, 所述云服 务器通过通信网络与医疗终端设备连接, 以及通过数据库连接与健康 评估模型库连接, 其特征在于, 该方法包括步骤: 从医疗终端设备接 收用户输入的健康问卷调査信息; 通过设置在医疗终端设备上的体征 传感器采集用户的体征数据; 根据用户的健康问卷调査信息和体征数 据从健康评估模型库中获取用户的健康状况评估模型; 通过设置在医 疗终端设备上的位置传感器获取用户的地理位置信息; 根据所述地理 位置信息匹配出用户所处区域的环境信息平台, 并从所述环境信息平 台中获取用户所处区域的环境信息; 根据所述环境信息对所述健康状 况评估模型进行修正得到用户的健康评估报告; 将医生的健康改善建 议添加至用户的健康评估报告中形成用户的最终健康评估报告, 并将 用户的最终健康评估报告发送至医疗终端设备。
[权利要求 7] 如权利要求 6所述的基于物联网的健康状况评估方法, 其特征在于, 所述从医疗终端设备接收用户输入的健康问卷调査信息的步骤包括如 下步骤: 产生一个健康问卷调査界面并显示在医疗终端设备上供用户 输入所述健康问卷调査信息。
[权利要求 8] 如权利要求 6所述的基于物联网的健康状况评估方法, 其特征在于, 所述根据用户的环境信息对用户的健康状况评估模型进行修正得到用 户的健康评估报告的步骤包括如下步骤: 从用户的健康状况评估模型 中解析影响用户健康状况的健康状况因子; 根据用户的环境信息对用 户的健康状况因子进行修正得到适合用户所处区域的健康状况评估模 型; 根据修正的健康状况评估模型产生用户的健康评估报告。
[权利要求 9] 如权利要求 6所述的基于物联网的健康状况评估方法, 其特征在于, 所述体征传感器包括体温计、 心电仪、 体脂仪、 血压计、 血糖仪以及 血氧仪等传感器, 用于采集包含用户的体温、 心电、 脂肪含量、 血压 、 血糖以及血氧的体征数据。
[权利要求 10] 如权利要求 6至 9任一项所述的基于物联网的健康状况评估方法, 其特 征在于, 所述环境信息包括环境卫生信息、 交通状况信息以及气象信 息。
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610926137.9A CN106357802A (zh) | 2016-10-29 | 2016-10-29 | 基于物联网的健康状况评估系统及方法 |
| CN201610926137.9 | 2016-10-29 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2018076619A1 true WO2018076619A1 (zh) | 2018-05-03 |
Family
ID=57863660
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/CN2017/080154 Ceased WO2018076619A1 (zh) | 2016-10-29 | 2017-04-11 | 基于物联网的健康状况评估系统及方法 |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN106357802A (zh) |
| WO (1) | WO2018076619A1 (zh) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111933283A (zh) * | 2020-08-04 | 2020-11-13 | 中国联合网络通信集团有限公司 | 一种健康监测方法及装置 |
| US20210274318A1 (en) * | 2018-11-21 | 2021-09-02 | Koa Health B.V. | Inferring the Impact on a User's Well-Being of Being in a Certain Location or Situation or with Certain Individuals |
Families Citing this family (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106357802A (zh) * | 2016-10-29 | 2017-01-25 | 深圳市前海安测信息技术有限公司 | 基于物联网的健康状况评估系统及方法 |
| CN106412085A (zh) * | 2016-10-29 | 2017-02-15 | 深圳市前海安测信息技术有限公司 | 基于物联网的健康风险预警系统及方法 |
| CN106934218A (zh) * | 2017-02-17 | 2017-07-07 | 杭州事亲网络科技有限公司 | 健康管理云平台 |
| CN106859618A (zh) * | 2017-03-21 | 2017-06-20 | 中国计量大学 | 一种基于人体状态的健康分析系统 |
| CN107122595A (zh) * | 2017-04-10 | 2017-09-01 | 中山市徕康医疗信息软件技术有限公司 | 智能预检及分诊系统 |
| CN107133472A (zh) * | 2017-05-08 | 2017-09-05 | 成都鼎智汇科技有限公司 | 医疗健康信息跟踪方法 |
| CN109087705A (zh) * | 2017-06-14 | 2018-12-25 | Gms股份有限公司 | 生成成长和发育信息的电子设备及其控制方法 |
| CN109461500A (zh) * | 2017-10-25 | 2019-03-12 | 新绎健康科技(北京)有限公司 | 一种数据处理系统 |
| CN108134825A (zh) * | 2017-12-15 | 2018-06-08 | 广东迈科医学科技股份有限公司 | 健康状况的监控方法、装置和系统 |
| CN109801715A (zh) * | 2018-05-03 | 2019-05-24 | 复旦大学附属中山医院 | 一种基于物联网用于慢阻肺呼吸康复的icf评估系统 |
| CN108376561A (zh) * | 2018-05-17 | 2018-08-07 | 北京维康恒科技有限公司 | 基于实时体征数据提供康复建议的方法及系统 |
| CN109671255B (zh) * | 2018-08-23 | 2020-08-04 | 白玉洁 | 一种激光照射器的控制系统 |
| CN109390042A (zh) * | 2018-10-10 | 2019-02-26 | 广州市雅天网络科技有限公司 | 健康报告生成方法、设备及可读存储介质 |
| CN109585022A (zh) * | 2018-11-21 | 2019-04-05 | 北京天和智慧健康管理有限公司 | 一种用于癌症风险评估的设备和系统 |
| CN109885010A (zh) * | 2019-03-20 | 2019-06-14 | 中南大学 | 基于多Agent和物联网结合的健康看护方法,装置及存储介质 |
| CN110070943A (zh) * | 2019-05-09 | 2019-07-30 | 深圳大学 | 生理机能评估系统和方法 |
| CN110223788A (zh) * | 2019-06-12 | 2019-09-10 | 天津理工大学 | 基于可携带设备的用户健康管理系统 |
| CN110459280A (zh) * | 2019-07-01 | 2019-11-15 | 江苏环亚医用科技集团股份有限公司 | 一种健康管理数据库的构建方法和装置 |
| CN112397164A (zh) * | 2019-08-16 | 2021-02-23 | 广东都乐健康管理咨询有限公司 | 一种母婴健康监护系统 |
| CN113288108B (zh) * | 2021-07-01 | 2023-08-18 | 厦门狄耐克智能科技股份有限公司 | 一种智能体脂检测分析方法及系统 |
| CN113499043A (zh) * | 2021-07-13 | 2021-10-15 | 山西省人民医院 | 基于物联网的健康状况评估系统及方法 |
| CN114491284B (zh) * | 2022-04-15 | 2022-07-08 | 科学技术文献出版社有限公司 | 一种基于多渠道数据分析的信息推送系统 |
| CN116115201B (zh) * | 2022-12-27 | 2023-12-12 | 粤卫信息平台(广东)有限公司 | 一种身体健康状态评估系统 |
| CN121218251A (zh) * | 2024-06-24 | 2025-12-26 | 华为技术有限公司 | 通信方法及装置 |
| CN118782273B (zh) * | 2024-09-11 | 2024-11-26 | 四川观想科技股份有限公司 | 基于ai数字人的健康管理方法及系统 |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030083556A1 (en) * | 1999-04-16 | 2003-05-01 | Cosentino Daniel L. | Remote monitoring system for ambulatory COPD patients |
| CN104468743A (zh) * | 2014-11-21 | 2015-03-25 | 深圳市前海安测信息技术有限公司 | 基于健康管理的儿童健康监控与提醒系统及其运行方法 |
| CN105760693A (zh) * | 2016-03-09 | 2016-07-13 | 哈尔滨商业大学 | 智能睡眠监管系统及基于物联网的智能健康睡眠监管控制系统 |
| CN105931166A (zh) * | 2015-12-16 | 2016-09-07 | 北京新兴阳升科技有限公司 | 基于健康物联网的家庭病房系统 |
| CN106357802A (zh) * | 2016-10-29 | 2017-01-25 | 深圳市前海安测信息技术有限公司 | 基于物联网的健康状况评估系统及方法 |
-
2016
- 2016-10-29 CN CN201610926137.9A patent/CN106357802A/zh active Pending
-
2017
- 2017-04-11 WO PCT/CN2017/080154 patent/WO2018076619A1/zh not_active Ceased
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030083556A1 (en) * | 1999-04-16 | 2003-05-01 | Cosentino Daniel L. | Remote monitoring system for ambulatory COPD patients |
| CN104468743A (zh) * | 2014-11-21 | 2015-03-25 | 深圳市前海安测信息技术有限公司 | 基于健康管理的儿童健康监控与提醒系统及其运行方法 |
| CN105931166A (zh) * | 2015-12-16 | 2016-09-07 | 北京新兴阳升科技有限公司 | 基于健康物联网的家庭病房系统 |
| CN105760693A (zh) * | 2016-03-09 | 2016-07-13 | 哈尔滨商业大学 | 智能睡眠监管系统及基于物联网的智能健康睡眠监管控制系统 |
| CN106357802A (zh) * | 2016-10-29 | 2017-01-25 | 深圳市前海安测信息技术有限公司 | 基于物联网的健康状况评估系统及方法 |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20210274318A1 (en) * | 2018-11-21 | 2021-09-02 | Koa Health B.V. | Inferring the Impact on a User's Well-Being of Being in a Certain Location or Situation or with Certain Individuals |
| US12356285B2 (en) * | 2018-11-21 | 2025-07-08 | Koa Health Digital Solutions S.L.U. | Inferring the impact on a user's well-being of being in a certain location or situation or with certain individuals |
| CN111933283A (zh) * | 2020-08-04 | 2020-11-13 | 中国联合网络通信集团有限公司 | 一种健康监测方法及装置 |
| CN111933283B (zh) * | 2020-08-04 | 2024-02-09 | 中国联合网络通信集团有限公司 | 一种健康监测方法及装置 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106357802A (zh) | 2017-01-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2018076620A1 (zh) | 基于物联网的健康风险预警系统及方法 | |
| CN106357802A (zh) | 基于物联网的健康状况评估系统及方法 | |
| CN110544541B (zh) | 一种老年生活及健康状态的监护及评价系统 | |
| JP5870646B2 (ja) | 患者からのムード情報の単純な収集の方法 | |
| JP5862226B2 (ja) | 3dにおいて身体の感覚を追跡、記録、又は解析する方法 | |
| CN110832602B (zh) | 利用软件进行健康状态判定的装置、及健康状态判定方法 | |
| JP6044111B2 (ja) | 人のストレスモデルを生成するシステム | |
| CN205320113U (zh) | 智慧养老应用系统 | |
| JP2012110715A (ja) | リングベースの誘導給電式SpO2センサ | |
| JP2012110713A (ja) | 呼吸困難計 | |
| JP2012110714A (ja) | スタチン誘発性ミオパシー及び他の医的障害のセンサベースの診断 | |
| CN105701358A (zh) | 一种基于云平台的健康数据采集和分析系统 | |
| AU2015345998A1 (en) | A method and a processor for determining health of an individual | |
| JP2019067151A (ja) | ストレス軽減プラン提案システム、ストレス軽減プラン提案方法、およびプログラム | |
| CN103784124B (zh) | 人体健康数据自动存储方法 | |
| CN107887020A (zh) | 一种体征检测系统和体征检测方法 | |
| Bagula et al. | Cyber-healthcare kiosks for healthcare support in developing countries | |
| CN105117583A (zh) | 基于群体生理数据的个人健康分析系统 | |
| CN104992395A (zh) | 一种创建个性化健康服务档案的方法 | |
| KR20120121086A (ko) | 상황정보 기반의 고혈압 모니터링 및 알림 장치 | |
| CN107403061A (zh) | 用户医疗评估模型构建方法和医疗评估服务器 | |
| CN106725422A (zh) | 基于心电检测、显示和上传的一体化系统 | |
| JP2021060221A (ja) | 健康モニタリングシステム、健康モニタリング方法および健康モニタリングプログラム | |
| CN203290884U (zh) | 一种面向社区医疗服务的智能手持终端 | |
| CN110428893A (zh) | 一种远程医疗生命体征数据采集装置 |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| 121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 17865221 Country of ref document: EP Kind code of ref document: A1 |
|
| NENP | Non-entry into the national phase |
Ref country code: DE |
|
| 32PN | Ep: public notification in the ep bulletin as address of the adressee cannot be established |
Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC, EPO FORM 1205A DATED 25.09.19 |
|
| 122 | Ep: pct application non-entry in european phase |
Ref document number: 17865221 Country of ref document: EP Kind code of ref document: A1 |