Intelligent senile osteoporosis patient autonomous movement health management method and system

Abstract

The invention relates to an intelligent senile osteoporosis patient autonomous movement health management method and system, the system comprises a user side and a cloud server side, and the user side comprises a feature data module and a movement health evaluation module; the exercise health evaluation module is used for performing exercise health analysis and exercise recommendation strategy making according to the user feature data input by the feature data module; the feature data module comprises a personal information base unit, a personal exercise unit, a pedometer unit, a single exercise management unit, a comprehensive exercise management unit, a medication unit and a nutrition unit. By integrating exercise management, medical resources, exercise information and intelligent equipment, exercise modes and activities suitable for different types of senile osteoporosis patients are automatically recommended according to illness state characteristics and physical conditions of the senile osteoporosis patients; the exercise range, exercise habits and the like of community residents are comprehensively considered to recommend suitable exercises, so that personal health requirements and exercise requirements of different senile osteoporosis patients are met, and the health of the patients is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of active health management, and in particular to an intelligent autonomous exercise health management method and system for elderly osteoporosis patients. Background Art

[0002] Osteoporosis is a systemic bone disease characterized by decreased bone mass and degeneration of bone tissue microstructure. With the increase of bone brittleness and the increased risk of fracture, the main clinical manifestations are decreased bone density, chronic pain, decreased mobility, etc. In addition, the high disability rate caused by complications such as fractures seriously affects the health status and quality of life of the elderly. With the increase of the elderly population in my country, the incidence of osteoporosis is on the rise, which is a health problem worthy of attention in my country and even in the world. The measures for the prevention, treatment and rehabilitation of osteoporosis mainly include basic measures, mainly strengthening nutrition, choosing appropriate exercises, and taking appropriate anti-osteoporosis drugs. Therefore, it is necessary to invent an intelligent autonomous exercise health management method and system for elderly osteoporosis patients. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent autonomous exercise health management method and system for elderly osteoporosis patients, which can integrate exercise management, medical resources, exercise information and intelligent devices, and automatically recommend exercise methods and activities suitable for different types of elderly osteoporosis patients according to the disease characteristics and physical conditions of elderly osteoporosis patients, thereby meeting the personal health needs and exercise needs of different elderly osteoporosis patients and promoting the health of patients.

[0004] In order to achieve the above object, the present invention provides the following technical solutions: In a first aspect, the present invention provides an intelligent autonomous sports health management system for elderly osteoporosis patients, comprising a user end and a cloud server end, wherein the cloud server end is used to receive data uploaded by the user end and respond to instructions for retrieving data sent by the user end; the user end comprises a feature data module and a sports health evaluation module; the sports health evaluation module is used to perform sports health analysis and formulate sports recommendation strategies based on user feature data entered by the feature data module; the feature data module comprises a personal information library unit, a personal sports unit, a pedometer unit, a single sports management unit, a comprehensive sports management unit, a medication unit and a nutrition unit; The personal information library unit is used to input and display user health data, and upload the user health data to the cloud server; The personal sports unit is used to display sports items selected by the user; The pedometer unit is used to record the number of steps taken by the user; The single sport management unit is used to record the duration and intensity of the single sport; The comprehensive sports management unit is used to record the location, photos, videos and notes of the comprehensive sports; The medication unit is used to input the user's medication information; The nutrition unit is used to input the nutrition intake information of the user.

[0005] Preferably, the user health data includes personal information, physical indicators and health status.

[0006] In a second aspect, the present invention provides an intelligent autonomous exercise health management method for elderly osteoporosis patients, which is applied to an intelligent autonomous exercise health management system for elderly osteoporosis patients, and comprises the following steps: S1. Obtaining user characteristic data of elderly osteoporosis patients through user records; S2, inputting the user characteristic data into a pre-trained sports health analysis model to generate the user's sports health analysis results; S3. Formulate corresponding exercise recommendation strategies based on the results of exercise health analysis; S4. Sending exercise recommendation strategies to user terminals of elderly osteoporosis patients and managers.

[0007] In summary, the beneficial effects of the present invention are: by integrating exercise management, medical resources, exercise information and intelligent devices, according to the disease characteristics and physical conditions of elderly osteoporosis patients, suitable exercise methods and activities are automatically recommended for different types of elderly osteoporosis patients; suitable exercise is recommended by comprehensively considering the exercise range and exercise habits of community residents, so as to meet the personal health needs and exercise needs of different elderly osteoporosis patients and promote the health of patients.

[0008] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, some of the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0010] Figure 1 This is a schematic diagram of a system for intelligent autonomous exercise health management for elderly osteoporosis patients according to an embodiment of the present invention; Figure 2 This is a flow chart of a method for intelligent autonomous exercise health management for elderly osteoporosis patients according to an embodiment of the present invention. DETAILED DESCRIPTION

[0011] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0012] See also Figure 1 , the embodiment of the present application discloses an intelligent autonomous sports health management system for elderly osteoporosis patients, including a user end and a cloud server end, the cloud server end is used to receive data uploaded by the user end, and respond to the instruction of retrieving data sent by the user end; the user end includes a feature data module and a sports health evaluation module; the sports health evaluation module is used to perform sports health analysis and formulate sports recommendation strategies according to the user feature data entered by the feature data module; the feature data module includes a personal information library unit, a personal sports unit, a pedometer unit, a single sports management unit, a comprehensive sports management unit, a medication unit and a nutrition unit; The personal information library unit is used to input and display user health data, and upload the user health data to the cloud server; The personal sports unit is used to display sports items selected by the user; The pedometer unit is used to record the number of steps taken by the user; The single sport management unit is used to record the duration and intensity of the single sport; The comprehensive sports management unit is used to record the location, photos, videos and notes of the comprehensive sports; The medication unit is used to input the user's medication information; The nutrition unit is used to input the nutrition intake information of the user.

[0013] Furthermore, the user health data includes personal information, physical indicators and health status.

[0014] See also Figure 2 The embodiment of the present application also discloses an intelligent elderly osteoporosis patient autonomous exercise health management method, which is applied to an intelligent elderly osteoporosis patient autonomous exercise health management system, and includes the following steps: S1. Obtaining user characteristic data of elderly osteoporosis patients through user records; S2, inputting the user characteristic data into a pre-trained sports health analysis model to generate the user's sports health analysis results; S3. Formulate corresponding exercise recommendation strategies based on the results of exercise health analysis; S4. Sending exercise recommendation strategies to user terminals of elderly osteoporosis patients and managers.

[0015] In summary, the present invention provides an intelligent autonomous exercise health management method and system for elderly osteoporosis patients. By integrating exercise management, medical resources, exercise information and intelligent devices, it automatically recommends exercise methods and activities suitable for different types of elderly osteoporosis patients according to the disease characteristics and physical conditions of elderly osteoporosis patients; it recommends suitable exercises by comprehensively considering the exercise range and exercise habits of community residents, thereby meeting the personal health needs and exercise needs of different elderly osteoporosis patients and promoting the health of patients.

[0016] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0017] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. An intelligent autonomous exercise health management system for elderly osteoporosis patients, including a user end and a cloud server end, characterized in that: The cloud server is used to receive data uploaded by the user, and respond to the instruction of retrieving data sent by the user; the user includes a feature data module and a sports health evaluation module; the sports health evaluation module is used to perform sports health analysis and formulate sports recommendation strategies according to the user feature data entered by the feature data module; the feature data module includes a personal information library unit, a personal sports unit, a pedometer unit, a single sports management unit, a comprehensive sports management unit, a medication unit and a nutrition unit; The personal information library unit is used to input and display user health data; The personal sports unit is used to display sports items selected by the user; The pedometer unit is used to record the number of steps taken by the user; The single sport management unit is used to record the duration and intensity of the single sport; The comprehensive sports management unit is used to record the location, photos, videos and notes of the comprehensive sports; The medication unit is used to input the user's medication information; The nutrition unit is used to input the nutrition intake information of the user.

2. The intelligent autonomous exercise health management system for elderly osteoporosis patients as claimed in claim 1, characterized in that: The user health data includes personal information, physical indicators and health status.

3. An intelligent autonomous exercise health management method for elderly osteoporosis patients, applied to an intelligent autonomous exercise health management system for elderly osteoporosis patients as described in any one of claims 1-2, characterized in that: The steps include: S1. Obtaining user characteristic data of elderly osteoporosis patients through user records; S2, inputting the user characteristic data into a pre-trained sports health analysis model to generate the user's sports health analysis results; S3. Formulate corresponding exercise recommendation strategies based on the results of exercise health analysis; S4. Sending exercise recommendation strategies to user terminals of elderly osteoporosis patients and managers.

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