技术领域Technical field
本发明涉及人体健康监测技术领域，具体为一种基于多元数据的体态健康分析系统。The invention relates to the technical field of human health monitoring, specifically a body health analysis system based on multivariate data.
背景技术Background technique
健康管理是通过一定的技术手段对人体进行监测，实现对人体危险因素进行全面管理的过程。随着人们对生活质量要求的不断地提高，通过健康管理来预防疾病和危险的发生，或对疾病和危险的发展进行有效地控制具有重要的意义，在健康管理中，体态健康主要体现在人体在静态、动态体现的姿态是否标准，人体如果长时间处于不良体态状态下，容易出现体态疾病，比如驼背、骨盆倾斜、肩不等高等，会明显影响机体功能，如果人体之前就患有体态类疾病，如椎间盘突出症、腰部损伤等，不及时检测治疗，会出现严重的后果。Health management is the process of monitoring the human body through certain technical means to achieve comprehensive management of human risk factors. As people's requirements for quality of life continue to improve, it is of great significance to prevent the occurrence of diseases and dangers through health management, or to effectively control the development of diseases and dangers. In health management, physical health is mainly reflected in the human body. Whether the static and dynamic postures are standard, if the human body is in poor posture for a long time, it is prone to postural diseases, such as hunchback, pelvic tilt, shoulder height inequality, etc., which will significantly affect the body function. If the human body has suffered from postural diseases before Diseases, such as disc herniation, waist injury, etc., can have serious consequences if not detected and treated in time.
目前，对人体体态进行健康管理的方式主要是由医疗机构的专业人士进行诊断。然而，这需要人们到指定医疗机构进行体检才能获知自身的体态健康状况。但是如果体检不够及时，或患者没有意识到身体体态健康存在问题，往往会造成严重的健康问题。因此，针对上述问题提出一种基于多元数据的体态健康分析系统。At present, the way of health management of human body posture is mainly diagnosed by professionals in medical institutions. However, this requires people to go to designated medical institutions for physical examinations to know their physical health status. However, if the physical examination is not timely enough, or the patient is not aware that there is a problem with the body's physical health, serious health problems will often occur. Therefore, a posture health analysis system based on multivariate data is proposed to address the above problems.
发明内容Contents of the invention
本发明的目的在于提供一种基于多元数据的体态健康分析系统,以解决上述背景技术中提出的问题。The purpose of the present invention is to provide a multivariate data-based posture health analysis system to solve the problems raised in the above background technology.
为实现上述目的，本发明提供如下技术方案：In order to achieve the above objects, the present invention provides the following technical solutions:
一种基于多元数据的体态健康分析系统，包括：A posture health analysis system based on multivariate data, including:
多元数据采集端：多元数据采集端包括身体数据采集和体态数据采集；体态数据采集包括静态姿势和动态姿势的采集，静态姿势的采集包括直立姿势图像采集、坐立姿势图像采集、侧卧姿势图像采集；动态姿势的采集包括行走状态画面采集、趋行状态下画面采集和奔跑状态下画面采集；Multivariate data collection end: The multivariate data collection end includes body data collection and posture data collection; posture data collection includes static posture and dynamic posture collection. Static posture collection includes upright posture image collection, sitting posture image collection, and side-lying posture image collection. Collection; collection of dynamic postures includes picture collection in walking state, picture collection in walking state and picture collection in running state;
云端数据库：云端数据库包括身体数据、体态疾病数据、异常同步和异常处理，云端数据库与专家端建立通讯连接；Cloud database: The cloud database includes body data, body disease data, abnormal synchronization and exception processing. The cloud database establishes a communication connection with the expert terminal;
体态分析平台：体态分析平台包括身体数据分析、体态数据分析、体态健康判断、体态健康预测和健康报表；身体数据分析同步来自身体数据采集的身体数据信息后，结合云端数据库中的身体数据信息对身体数据信息的各项数据进行分析，得到用户的身体健康情况数据；体态数据分析同步来自体态数据采集的体态数据后，提取直立姿势图像采集、坐立姿势图像采集、侧卧姿势图像采集的图像数据，结合云端数据库内预存的体态疾病数据，对用户的静态姿势进行分析，得到静态姿势对比数据；体态健康判断同步静态姿势对比数据后，提取存在差异的静态姿势部位，与云端数据库的体态疾病数据进行比对，找到配对的疾病特征，进行疾病标记；体态健康预测获取有疾病标记的图像数据后，云端数据库中的体态疾病数据进行比对，分析病症姿态的阶段，生成体态疾病后续发展的预测数据；健康报表同时接收用户的身体健康情况数据和体态疾病后续发展的预测数据，同时调取云端数据库中针对健康情况及体态疾病的治疗方法，生成健康报表。Posture analysis platform: The posture analysis platform includes body data analysis, posture data analysis, posture health judgment, posture health prediction and health reports; after body data analysis synchronizes the body data information from body data collection, it combines the body data information in the cloud database to Various data of the body data information are analyzed to obtain the user's health status data; the posture data analysis synchronizes the posture data from the posture data collection, and extracts the images of the upright posture image collection, the sitting posture image collection, and the side-lying posture image collection. Data, combined with the pre-stored postural disease data in the cloud database, analyzes the user's static posture to obtain static posture comparison data; after synchronizing the static posture comparison data for postural health judgment, the static posture parts with differences are extracted, and compared with the postural disease data in the cloud database Compare the data, find matching disease features, and mark the disease; after obtaining the image data with disease markers, the body health prediction system compares the body disease data in the cloud database, analyzes the stages of disease posture, and generates a prediction of the subsequent development of body disease. Prediction data; health reports simultaneously receive the user's physical health data and prediction data on the subsequent development of physical diseases, and at the same time retrieve the treatment methods for health conditions and physical diseases in the cloud database to generate health reports.
优选的，身体数据采集包括身高、体重、体脂、血压、普通疾病数据的采集。Preferably, the body data collection includes the collection of height, weight, body fat, blood pressure, and common disease data.
优选的，静态姿势和动态姿势的采集均在被采集者身着贴身衣物时进行。Preferably, both static postures and dynamic postures are collected when the person being collected is wearing close-fitting clothing.
优选的，身体数据以身体年龄为轴线进行数据保存，每个年龄段建立身高、体重坐标，并在每个年龄段设置对应的体脂、血压区间，及该年龄段多发的疾病数据及治疗手段，身体数据分析接收到身体数据采集的身体数据信息后，参照用户的年龄和身高信息，对比体重信息、体脂信息、血压信息，同时分析用户提供的疾病数据，对用户的身体健康进行分析，得到用户的身体健康情况数据。Preferably, the body data is saved with body age as the axis. Height and weight coordinates are established for each age group, and corresponding body fat and blood pressure intervals are set for each age group, as well as data and treatment methods for common diseases in this age group. , After receiving the body data information collected by body data, body data analysis refers to the user's age and height information, compares the weight information, body fat information, and blood pressure information, and analyzes the disease data provided by the user to analyze the user's physical health. Obtain the user's physical health data.
优选的，体态疾病数据包括正常姿态对比图像和不正常姿态对比图像，其中，正常姿态对比图像包括人体在直立、左立、侧卧姿态下头部、脊柱、颈椎、手足的姿态对比图像，不正常姿态对比图像包括人体在直立、左立、侧卧姿态下头部、脊柱、颈椎、手足在疾病状态下的姿态对比图像，且同一姿态疾病的姿态对比图像包括根据姿态疾病的轻重程度从轻到重设置的多个对比图像。Preferably, the postural disease data includes normal posture comparison images and abnormal posture comparison images, wherein the normal posture comparison images include posture comparison images of the head, spine, cervical vertebrae, hands and feet of the human body in upright, left-standing, and side-lying postures. Normal posture comparison images include posture comparison images of the head, spine, cervical vertebrae, hands and feet of the human body in the upright, left-standing, and side-lying postures in disease states, and posture comparison images of the same posture disease include the lighter ones according to the severity of the posture disease. Multiple comparison images to re-set.
优选的，还包括交流平台：交流平台分别与体态分析平台、用户端和专家端建立通讯连接，交流平台同步体态分析平台的健康报表后，同步发送到用户端。Preferably, it also includes a communication platform: the communication platform establishes communication connections with the posture analysis platform, the user terminal and the expert terminal respectively. After the communication platform synchronizes the health report of the posture analysis platform, it is synchronously sent to the user terminal.
优选的，身体数据分析、体态数据分析过程中，如果无法在云端数据库的身体数据、体态疾病数据中找到对比图像，则生成异常数据，被保存到异常处理中，并将该数据信息同步到专家端，由专家端判定后上传回异常处理，异常处理将专家端标记后的异常数据上传至异常同步，由异常同步分析类别后，同步补充到身体数据、体态疾病数据中。Preferably, during the body data analysis and posture data analysis process, if the comparison image cannot be found in the body data and posture disease data in the cloud database, abnormal data will be generated, saved in exception processing, and the data information will be synchronized to the expert. end, the expert end determines and uploads it back to the exception processing. The exception processing uploads the abnormal data marked by the expert end to the exception synchronization. After the exception synchronization analyzes the categories, it is synchronized to the body data and posture disease data.
与现有技术相比，本发明的有益效果是：Compared with the prior art, the beneficial effects of the present invention are:
1、利用多元数据采集端对用户的身体数据和体态数据进行采集，后利用体态分析平台进行分析处理，其中，体态分析平台包括身体数据分析、体态数据分析、体态健康判断、体态健康预测和健康报表，分别对用户的身体数据和体态数据进行分析处理，得到体态疾病后续发展的预测数据，同时调取云端数据库中针对健康情况及体态疾病的治疗方法，生成健康报表，便于用户端及时治疗，其中多元数据采集端采集的工具均为生活中常见工具，操作方便；1. Use multi-dimensional data collection terminals to collect the user's body data and posture data, and then use the posture analysis platform for analysis and processing. Among them, the posture analysis platform includes body data analysis, posture data analysis, posture health judgment, posture health prediction and health Reports are used to analyze and process the user's body data and posture data respectively to obtain prediction data for the subsequent development of posture diseases. At the same time, the health conditions and treatment methods for posture diseases in the cloud database are retrieved to generate health reports to facilitate timely treatment on the user side. Among them, the tools collected by the multi-dimensional data collection terminal are common tools in daily life and are easy to operate;
2、通过在云端数据库设置异常同步和异常处理，可将多元数据采集端采集到的一些未知数据进行收集，由专家端诊断判定后，补足云端数据库中的身体数据和体态疾病数据，实现对人体体态健康分析系统的不断优化。2. By setting up abnormal synchronization and exception processing in the cloud database, some unknown data collected by the multi-dimensional data collection terminal can be collected. After diagnosis and determination by the expert terminal, the body data and posture disease data in the cloud database can be supplemented to realize human body monitoring. Continuous optimization of physical health analysis system.
附图说明Description of the drawings
图1为本发明一种基于多元数据的体态健康分析系统整体结构示意图。Figure 1 is a schematic diagram of the overall structure of a multivariate data-based posture health analysis system of the present invention.
具体实施方式Detailed ways
下为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。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。In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention and are not intended to limit the present invention.
为了更好地理解上述技术方案，下面将结合说明书附图以及具体实施方式对上述技术方案进行详细的说明。In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation modes.
实施例：Example:
请参阅图1，本实施例提供一种技术方案：Please refer to Figure 1. This embodiment provides a technical solution:
一种基于多元数据的体态健康分析系统：A body health analysis system based on multivariate data:
为了实现对多元数据的获取，设置多元数据采集端：多元数据采集端包括身体数据采集和体态数据采集；体态数据采集包括静态姿势和动态姿势的采集，静态姿势的采集包括直立姿势图像采集、坐立姿势图像采集、侧卧姿势图像采集；动态姿势的采集包括行走状态画面采集、趋行状态下画面采集和奔跑状态下画面采集，其中，身体数据采集包括身高、体重、体脂、血压、普通疾病数据的采集，可使用体脂秤、电子身高体重检测仪等设备完成检测，普通疾病数据来源可根据用户医保卡数据提取用户的历史治疗数据获取；In order to achieve the acquisition of multivariate data, a multivariate data collection terminal is set up: the multivariate data collection terminal includes body data collection and posture data collection; posture data collection includes the collection of static postures and dynamic postures, and the collection of static postures includes image collection of upright postures, sitting postures, etc. Upright posture image collection, side-lying posture image collection; dynamic posture collection includes image collection in walking state, image collection in walking state, and image collection in running state. Among them, body data collection includes height, weight, body fat, blood pressure, normal Disease data can be collected using body fat scales, electronic height and weight detectors and other equipment. The source of common disease data can be obtained by extracting the user's historical treatment data based on the user's medical insurance card data;
进一步，静态姿势和动态姿势的采集均在被采集者身着贴身衣物时进行，其中，静态姿势利用图像采集的方式进行，采集时，利用相机对人体每个姿态的多个角度进行图像采集；Furthermore, the collection of static postures and dynamic postures is performed when the person being collected is wearing close-fitting clothing. The static postures are collected using image collection. During collection, a camera is used to collect images from multiple angles of each posture of the human body;
动态姿势则利用跑步机结合摄像机进行，在进行行走状态画面采集、趋行状态下画面采集和奔跑状态下画面采集时利用跑步机速度实现调整。Dynamic postures are performed using a treadmill combined with a camera, and the speed of the treadmill is used to adjust the image collection while walking, walking, and running.
为了给体态分析平台提供数据支撑，设置云端数据库：云端数据库包括身体数据、体态疾病数据、异常同步和异常处理，云端数据库与专家端建立通讯连接，其中：In order to provide data support for the posture analysis platform, a cloud database is set up: the cloud database includes body data, posture disease data, abnormal synchronization and exception processing. The cloud database establishes a communication connection with the expert terminal, including:
身体数据以身体年龄为轴线进行数据保存，每个年龄段建立身高、体重坐标，并在每个年龄段设置对应的体脂、血压区间，及该年龄段多发的疾病数据及治疗手段；Body data is saved along the axis of body age. Height and weight coordinates are established for each age group, and corresponding body fat and blood pressure ranges are set for each age group, as well as data on common diseases and treatments in this age group;
体态疾病数据包括正常姿态对比图像和不正常姿态对比图像，其中，正常姿态对比图像包括人体在直立、左立、侧卧姿态下头部、脊柱、颈椎、手足的姿态对比图像，不正常姿态对比图像包括人体在直立、左立、侧卧姿态下头部、脊柱、颈椎、手足在疾病状态下的姿态对比图像，且同一姿态疾病的姿态对比图像包括根据姿态疾病的轻重程度从轻到重设置的多个对比图像；Postural disease data includes normal posture comparison images and abnormal posture comparison images. The normal posture comparison images include posture comparison images of the head, spine, cervical spine, hands and feet of the human body in upright, left-standing, and side-lying postures. Abnormal posture comparison images The images include posture comparison images of the human body in upright, left-standing, and side-lying postures of the head, spine, cervical vertebrae, hands, and feet in disease states, and posture comparison images of the same posture disease include settings from mild to severe based on the severity of the posture disease. Multiple comparison images;
体态疾病数据还包括针对不同体态疾病采集的动态姿势数据。Postural disease data also includes dynamic posture data collected for different postural diseases.
为了实现对病患身体数据和体态数据的分析，设置体态分析平台：体态分析平台包括身体数据分析、体态数据分析、体态健康判断、体态健康预测和健康报表，其中：In order to realize the analysis of patients' body data and posture data, a posture analysis platform is set up: the posture analysis platform includes body data analysis, posture data analysis, posture health judgment, posture health prediction and health reports, including:
身体数据分析同步来自身体数据采集的身体数据信息后，结合云端数据库中的身体数据信息对身体数据信息的各项数据进行分析，得到用户的身体健康情况数据，身体数据分析接收到身体数据采集的身体数据信息后，参照用户的年龄和身高信息，对比体重信息、体脂信息、血压信息，同时分析用户提供的疾病数据，对用户的身体健康进行分析，得到用户的身体健康情况数据；After body data analysis synchronizes the body data information collected from the body data, it analyzes various data of the body data information in combination with the body data information in the cloud database to obtain the user's health status data. The body data analysis receives the body data collected. After receiving the body data information, refer to the user's age and height information, compare the weight information, body fat information, and blood pressure information, and at the same time analyze the disease data provided by the user, analyze the user's physical health, and obtain the user's physical health status data;
体态数据分析同步来自体态数据采集的体态数据后，提取直立姿势图像采集、坐立姿势图像采集、侧卧姿势图像采集的图像数据，结合云端数据库内预存的体态疾病数据，对用户的静态姿势进行分析，得到静态姿势对比数据；Posture data analysis synchronizes the posture data from posture data collection, extracts the image data of upright posture image collection, sitting posture image collection, and side-lying posture image collection, and combines it with the pre-stored posture disease data in the cloud database to analyze the user's static posture. Analyze and obtain static posture comparison data;
进一步，体态数据分析还同步行走状态画面、趋行状态下画面和奔跑状态下画面，并对用户不同动态状态下姿态进行捕捉，生成动态体征，与云端数据库中的动态姿势数据进行比对，得到动态姿势比对数据，判断用户体态疾病类型并进行标记。Furthermore, the body posture data analysis also synchronizes the walking state pictures, the walking state pictures and the running state pictures, captures the user's postures in different dynamic states, generates dynamic physical signs, and compares them with the dynamic posture data in the cloud database to obtain Dynamic posture comparison data is used to determine the type of user's posture disease and mark it.
体态健康判断同步静态姿势对比数据后，提取存在差异的静态姿势部位，与云端数据库的体态疾病数据进行比对，找到配对的疾病特征，进行疾病标记；体态健康预测获取有疾病标记的图像数据后，云端数据库中的体态疾病数据进行比对，分析病症姿态的阶段，生成体态疾病后续发展的预测数据；Posture health judgment synchronizes the static posture comparison data, extracts the static posture parts with differences, and compares them with the posture disease data in the cloud database to find matching disease features and mark the disease; posture health prediction obtains the image data with disease markers. , compare the posture disease data in the cloud database, analyze the stages of disease posture, and generate prediction data for the subsequent development of posture diseases;
健康报表同时接收用户的身体健康情况数据和体态疾病后续发展的预测数据，同时调取云端数据库中针对健康情况及体态疾病的治疗方法，生成健康报表；The health report simultaneously receives the user's physical health data and prediction data on the subsequent development of physical diseases, and at the same time retrieves the treatment methods for health conditions and physical diseases in the cloud database to generate health reports;
进一步，身体数据分析、体态数据分析过程中，如果无法在云端数据库的身体数据、体态疾病数据中找到对比图像，则生成异常数据，被保存到异常处理中，并将该数据信息同步到专家端，由专家端判定后上传回异常处理，异常处理将专家端标记后的异常数据上传至异常同步，由异常同步分析类别后，同步补充到身体数据、体态疾病数据中。Furthermore, during the body data analysis and posture data analysis process, if the comparison image cannot be found in the body data and posture disease data in the cloud database, abnormal data will be generated, saved in exception processing, and the data information will be synchronized to the expert terminal. , the expert side determines and then uploads it back to exception processing. The exception processing uploads the abnormal data marked by the expert side to exception synchronization. After the exception synchronization analyzes the categories, it is synchronized to the body data and posture disease data.
为了实现用户端、专家端和体态分析平台的交流，设置交流平台：交流平台分别与体态分析平台、用户端和专家端建立通讯连接，交流平台同步体态分析平台的健康报表后，同步发送到用户端；In order to realize the communication between the user end, the expert end and the posture analysis platform, a communication platform is set up: the communication platform establishes communication connections with the posture analysis platform, the user end and the expert end respectively. After the communication platform synchronizes the health report of the posture analysis platform, it is synchronously sent to the user. end;
具体的，用户端和专家端均在交流平台上注册，并登记个人信息；Specifically, both the user terminal and the expert terminal register on the communication platform and register personal information;
交流平台与体态分析平台进行信息对接，同步接收健康报表，并根据健康报表上记载的用户信息将健康报表同步发送给对应的用户端；The communication platform connects information with the posture analysis platform, receives health reports synchronously, and synchronously sends health reports to the corresponding client based on the user information recorded on the health report;
交流平台还包括交流论坛，用户端在交流论坛上发布体态健康问题；The communication platform also includes a communication forum, where the client posts physical health issues;
专家端浏览交流论坛，可在交流论坛上接入用户端在交流论坛上发布体态健康问题并进行解答。The expert terminal browses the communication forum, and can access the user terminal to post physical health questions and answer them on the communication forum.
尽管已经示出和描述了本发明的实施例，对于本领域的普通技术人员而言，可以理解在不脱离本发明的原理和精神的情况下可以对这些实施例进行多种变化、修改、替换和变型，本发明的范围由所附权利要求及其等同物限定。Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art will understand that various changes, modifications, and substitutions can be made to these embodiments without departing from the principles and spirit of the invention. and modifications, the scope of the invention is defined by the appended claims and their equivalents.
| Application Number | Priority Date | Filing Date | Title |
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| CN202410197118.1ACN117766148A (en) | 2024-02-22 | 2024-02-22 | Physical health analysis system based on multivariate data |
| Application Number | Priority Date | Filing Date | Title |
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| CN202410197118.1ACN117766148A (en) | 2024-02-22 | 2024-02-22 | Physical health analysis system based on multivariate data |
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| CN117766148Atrue CN117766148A (en) | 2024-03-26 |
| Application Number | Title | Priority Date | Filing Date |
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| CN202410197118.1APendingCN117766148A (en) | 2024-02-22 | 2024-02-22 | Physical health analysis system based on multivariate data |
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