5G remote system for intelligent health care center

Abstract

The invention provides a 5G remote system for an intelligent health care center, which comprises a 5G remote data receiving module, a local data intelligent processing module and a 5G remote data sending module, and is characterized in that the 5G remote data receiving module is used for receiving health care management data transmitted by a target terminal through 5G in real time; wherein the health management data comprises basic physiological data and / or basic psychological data, which are / is acquired in real time, of the user; the local data intelligent processing module is used for processing the health care management data through a local intelligent terminal to generate a health care data processing result; and the 5G remote data sending module is used for transmitting the health care data processing result to the target terminal in real time through 5G so as to instruct the target terminal to use the health care data processing result to interact with the user, thereby realizing remote health care management.

Description

Technical Field

[0001] This application pertains to the field of health and wellness, and in particular relates to a 5G remote system for smart health and wellness centers. Background Technology

[0002] As the population ages, the demand for health and wellness services among the elderly is gradually increasing. On the one hand, most health and wellness institutions have low levels of intelligent technology in their facilities, making it difficult to provide high-quality services. On the other hand, with the development of technology, various health and wellness service institutions also need to develop towards intelligence and specialization to meet the health and wellness needs of their clients.

[0003] Currently, my country's supply of smart elderly care services is insufficient, the proportion is low, and the quality is not high. Elderly people, due to limited physical conditions, often have poor self-care abilities and require immediate attention when health problems arise. Therefore, designing a 5G remote system for smart elderly care centers has become an urgent problem to be solved in this field. Summary of the Invention

[0004] This application provides a 5G remote system for smart health and wellness centers, which can meet users' personalized needs and provide users with a comprehensive intelligent 5G remote health and wellness experience.

[0005] In a first aspect, embodiments of this application provide a 5G remote system for a smart elderly care center, comprising: A 5G remote data receiving module is used to receive health and wellness management data transmitted in real time by a target terminal via 5G; wherein, the health and wellness management data includes basic physiological data and / or basic psychological data of the user collected in real time; The local data intelligent processing module is used to process health and wellness management data through local smart terminals and generate health and wellness data processing results; The 5G remote data transmission module is used to transmit health and wellness data processing results to the target terminal in real time via 5G, so as to instruct the target terminal to use the health and wellness data processing results to interact with the user and realize remote health and wellness management.

[0006] Optionally, the local data intelligent processing module is specifically used for: Based on the local user data corresponding to the target terminal and the health and wellness management data transmitted in real time by the target terminal, generate the health and wellness data processing results corresponding to the user. Local user data includes users' medical records, which include historical diagnostic records, medical imaging data, historical medical test data, and historical surgical data.

[0007] Optionally, the 5G remote data transmission module is further configured to: If the user's corresponding health and wellness data processing result is suspected to be abnormal, the health and wellness data processing result and data supplementation instructions are transmitted to the target terminal in real time via 5G, so as to instruct the target terminal to use the health and wellness data processing result to interact with the user and obtain supplementary monitoring data.

[0008] Optionally, the local data intelligent processing module is further used for: User attribute information, local user data, health management data, and supplementary monitoring data are input into a pre-trained intelligent pre-diagnosis model to obtain the pre-diagnosis results output by the intelligent pre-diagnosis model. The intelligent pre-diagnosis model includes an attribute feature extraction module, a historical feature extraction module, a real-time feature extraction module, a feature fusion module, and multiple output modules. Each output module is used to output the probability information of the user currently having each preset category of disease.

[0009] Optionally, the 5G remote data transmission module is further configured to: In response to the registration confirmation command sent by the target terminal, an appointment registration request is sent to the smart hospital system platform via 5G based on the local user data corresponding to the target terminal; and, In response to the successful registration record sent by the smart hospital system platform, the user's pre-diagnosis report is sent to the smart hospital system platform via 5G; wherein, the pre-diagnosis report includes the user's attribute information, local user data, health management data, supplementary monitoring data, and probability information of the user's current presence of various preset categories of diseases.

[0010] Optionally, the target terminal includes one of the following: Blood oxygen acquisition device with integrated 5G data transceiver function, heart rate acquisition device with integrated 5G data transceiver function, blood pressure acquisition device with integrated 5G data transceiver function, blood glucose acquisition device with integrated 5G data transceiver function, and multi-functional data acquisition device with integrated 5G data transceiver function.

[0011] Optionally, the intelligent robot system used in the smart health and wellness center includes an intelligent rehabilitation robot system, an intelligent convalescent robot system, an intelligent companion robot system, an intelligent health management system, and a 5G remote system; wherein, The intelligent rehabilitation robot system is used to generate personalized postoperative rehabilitation plans for users and assist users in rehabilitation training through rehabilitation assistive robots and personalized postoperative rehabilitation plans; as well as to conduct rehabilitation monitoring and assessment during the user's rehabilitation training process. The intelligent rehabilitation robot system is used to generate personalized rehabilitation plans for users and to interact with users through the rehabilitation robot and personalized rehabilitation plans; as well as to monitor and evaluate users during the rehabilitation process. The intelligent companion robot system is used to generate personalized companion plans for users and to interact with users through companion robots and personalized companion plans; as well as to monitor and evaluate users during the companionship process; The intelligent health management system is used to generate personalized health management plans for users and to supervise and evaluate the implementation of these plans through a health management monitoring terminal.

[0012] Optionally, the intelligent rehabilitation robot system includes a personalized rehabilitation plan generation module, a rehabilitation assistance module, and a rehabilitation monitoring and assessment module; wherein, The personalized rehabilitation plan generation module is used to generate personalized postoperative rehabilitation plans for users. The rehabilitation assistance module is used to assist users in rehabilitation training through rehabilitation assistance robots and personalized postoperative rehabilitation plans. The rehabilitation monitoring and assessment module is used to monitor and assess rehabilitation during the user's rehabilitation training process.

[0013] Optionally, the intelligent convalescent robot system includes a personalized convalescent plan generation module, an intelligent convalescent robot control module, and a convalescent monitoring and assessment module; wherein, The personalized treatment plan generation module is used to generate personalized treatment plans for users. The intelligent rehabilitation robot control module is used to interact with users through the intelligent rehabilitation robot and personalized rehabilitation plans; The convalescent monitoring and assessment module is used to monitor and assess users during their convalescence.

[0014] Optionally, the intelligent companion robot system includes a personalized companion plan generation module, an intelligent companion robot control module, and a companion monitoring and evaluation module; wherein, The personalized care plan generation module is used to generate personalized care plans for users. The intelligent companion robot control module is used to interact with users through the intelligent companion robot and personalized companion solutions; The companionship monitoring and assessment module is used to monitor and assess users during their companionship process.

[0015] Secondly, embodiments of this application provide a 5G remote method for a smart elderly care center, the 5G remote method being used to implement the functions of a 5G remote system for a smart elderly care center as described in any embodiment of the first aspect.

[0016] Thirdly, embodiments of this application provide an electronic device, which includes: a processor and a memory storing computer program instructions; When the processor executes the computer program instructions, it implements a 5G remote method for smart elderly care centers.

[0017] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer program instructions, which, when executed by a processor, implement a 5G remote method for a smart elderly care center.

[0018] The 5G remote system, method, device, and computer-readable storage medium for smart health and wellness centers described in this application can meet users' personalized health and wellness needs and provide users with a comprehensive intelligent health and wellness experience. Attached Figure Description

[0019] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0020] Figure 1 This is a schematic diagram of the architecture of a 5G remote system for a smart elderly care center provided in one embodiment of this application; Figure 2 This is an architecture diagram of the intelligent pre-diagnosis model used in a 5G remote system for a smart elderly care center, provided in one embodiment of this application; Figure 3 This is an interactive flowchart of the remote monitoring terminal, the smart health care center, and the smart hospital conducting remote health care management during the use of a 5G remote system for a smart health care center, provided in one embodiment of this application. Figure 4 This is a flowchart illustrating remote elderly care management during the use of a 5G remote system for a smart elderly care center, provided in one embodiment of this application. Figure 5 This is a schematic diagram of the structure of an electronic device provided in one embodiment of this application. Detailed Implementation

[0021] The features and exemplary embodiments of various aspects of this application will be described in detail below. To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain this application and not to limit it. For those skilled in the art, this application can be implemented without some of these specific details. The following description of the embodiments is merely to provide a better understanding of this application by illustrating examples.

[0022] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes said element.

[0023] To address the problems of existing technologies, this application provides a 5G remote system for smart elderly care centers. The 5G remote system for smart elderly care centers provided in this application will be described below.

[0024] Figure 1 This illustration shows a schematic diagram of the architecture of a 5G remote system for a smart elderly care center, according to an embodiment of this application. Figure 1 As shown, the 5G remote system for a smart elderly care center includes: a 5G remote data receiving module, a local data intelligent processing module, and a 5G remote data sending module; wherein, A 5G remote data receiving module is used to receive health and wellness management data transmitted in real time by a target terminal via 5G; wherein, the health and wellness management data includes basic physiological data and / or basic psychological data of the user collected in real time; The local data intelligent processing module is used to process health and wellness management data through local smart terminals and generate health and wellness data processing results; The 5G remote data transmission module is used to transmit health and wellness data processing results to the target terminal in real time via 5G, so as to instruct the target terminal to use the health and wellness data processing results to interact with the user and realize remote health and wellness management.

[0025] In some embodiments, the local data intelligent processing module is specifically used for: Based on the local user data corresponding to the target terminal and the health and wellness management data transmitted in real time by the target terminal, generate the health and wellness data processing results corresponding to the user. Local user data includes users' medical records, which include historical diagnostic records, medical imaging data, historical medical test data, and historical surgical data.

[0026] In some embodiments, psychological data may include anxiety scores, stress indices, mood fluctuation indices, etc.; physiological data may include heart rate, blood oxygen, blood pressure, respiratory rate, blood glucose, etc.

[0027] In some embodiments, the 5G remote data transmission module is further configured to: If the user's corresponding health and wellness data processing result is suspected to be abnormal, the health and wellness data processing result and data supplementation instructions are transmitted to the target terminal in real time via 5G, so as to instruct the target terminal to use the health and wellness data processing result to interact with the user and obtain supplementary monitoring data.

[0028] In some embodiments, the local data intelligent processing module is further configured to: User attribute information, local user data, health management data, and supplementary monitoring data are input into a pre-trained intelligent pre-diagnosis model to obtain the pre-diagnosis results output by the intelligent pre-diagnosis model. The intelligent pre-diagnosis model includes an attribute feature extraction module, a historical feature extraction module, a real-time feature extraction module, a feature fusion module, and multiple output modules. Each output module is used to output the probability information of the user currently having each preset category of disease.

[0029] Figure 2 This is an architecture diagram of the intelligent pre-diagnosis model used in a 5G remote system for a smart elderly care center, provided in one embodiment of this application.

[0030] The user attribute information may include age, gender, weight, height, BMI, occupation, history of underlying diseases, and allergies. The local user data may include historical diagnostic records, medical imaging data, historical medical test data, historical surgical data, and historical medication data. The historical diagnostic records may include diagnostic descriptions, such as "left knee arthritis." The medical imaging data may include, for example, X-rays, MRIs, and CT scans of the knee joint. The historical medical test data may include complete blood count data, blood biochemistry data, and urinalysis results. The historical surgical records may include the type of surgery, surgery time, postoperative rehabilitation records, and postoperative complication records. The historical medication records may include the name, dosage, frequency, and time of medication use.

[0031] In some embodiments, the attribute feature extraction module included in the intelligent pre-diagnosis model can be composed of two MLP layers, with the hidden layer sizes set to 64 and 32 respectively, the L2 weight decay of the output stage being 0.001 to improve generalization, the activation function being set to the ReLU function, the training batch being set to 32 to balance memory and efficiency, and the output being a 32-dimensional feature vector.

[0032] In some embodiments, the historical feature extraction module included in the intelligent pre-diagnosis model may consist of a text encoder, an image encoder, a medical examination data MLP, a medication record MLP, and a fusion submodule. The input to the text encoder can be a text-based diagnostic / surgical record, and the text encoder can be the encoder in a pre-trained medical BERT model, with an output dimension of 768. The input to the image encoder can be a medical image, and the image encoder type can be a pre-trained ResNet network with fully connected layers removed (e.g., ResNet-50, ResNet-101, etc.). The output dimension of the encoder is set to 2048; the test data MLP can be composed of two MLP layers with hidden layer sizes of 64 and 32 respectively, and the activation function is set to LeakyReLU, outputting a 32-dimensional feature vector; the medication record MLP can be composed of two MLP layers with hidden layer sizes of 64 and 32 respectively, and the activation function is set to LeakyReLU, outputting a 32-dimensional feature vector; the fusion submodule is used to concatenate the outputs of the text encoder, image encoder, test data MLP, and medication record MLP, and perform dimensionality reduction through the MLP fusion layer, outputting a 128-dimensional feature vector.

[0033] In some embodiments, the real-time feature extraction module included in the intelligent pre-diagnosis model can be composed of a physiological branch and a psychological branch; wherein, the model architecture of the physiological branch can be a CNN model capable of processing sequential data, which can be composed of sequentially concatenated convolutional layers, pooling layers, convolutional layers, pooling layers, fully connected layers, and activation layers, and the output dimension can be set to 64; the model architecture of the psychological branch can be an MLP, and the output dimension can be set to 64; the outputs of the physiological branch and the psychological branch can be compressed after concatenation to obtain the 64-dimensional features output by the real-time feature extraction module.

[0034] In some embodiments, the output of the intelligent prediagnosis model may include the probability of developing cardiovascular and cerebrovascular diseases, which is used to characterize the probability that the user is currently in the onset period of cardiovascular and cerebrovascular diseases.

[0035] In some embodiments, the output of the intelligent prediagnosis model may include the probability of developing respiratory diseases, which is used to characterize the probability that a user is currently in the acute phase of a respiratory disease.

[0036] In some embodiments, the output of the intelligent prediagnosis model may include the probability of having a metabolic disease, which is used to characterize the probability that a user is currently in the onset phase of a metabolic disease.

[0037] In some embodiments, the model architecture of the output module of the intelligent pre-diagnosis model can be an MLP, which includes a fully connected layer and the probability range of the output value is [0,1].

[0038] Figure 3 This is an interactive flowchart of the remote monitoring terminal, the smart health care center, and the smart hospital conducting remote health care management during the use of a 5G remote system for a smart health care center, provided in one embodiment of this application.

[0039] Among them, the remote monitoring terminal can be a target terminal used to collect / transmit health and wellness management data.

[0040] In some embodiments, the 5G remote data transmission module is further configured to: In response to the registration confirmation command sent by the target terminal, an appointment registration request is sent to the smart hospital system platform via 5G based on the local user data corresponding to the target terminal; and, In response to the successful registration record sent by the smart hospital system platform, the user's pre-diagnosis report is sent to the smart hospital system platform via 5G; wherein, the pre-diagnosis report includes the user's attribute information, local user data, health management data, supplementary monitoring data, and probability information of the user's current presence of various preset categories of diseases.

[0041] In some embodiments, the target terminal includes one of the following: Blood oxygen acquisition device with integrated 5G data transceiver function, heart rate acquisition device with integrated 5G data transceiver function, blood pressure acquisition device with integrated 5G data transceiver function, blood glucose acquisition device with integrated 5G data transceiver function, and multi-functional data acquisition device with integrated 5G data transceiver function.

[0042] Figure 4 This is a flowchart illustrating remote elderly care management during the use of a 5G remote system for a smart elderly care center, provided in one embodiment of this application. Figure 4 It includes: S401: Receive health and wellness management data transmitted in real time by the target terminal via 5G; wherein, the health and wellness management data includes the user's basic physiological data and / or basic psychological data collected in real time.

[0043] S402: Process health and wellness management data through a local smart terminal to generate health and wellness data processing results.

[0044] S403: Transmit the health and wellness data processing results to the target terminal in real time via 5G, so as to instruct the target terminal to use the health and wellness data processing results to interact with the user and realize remote health and wellness management.

[0045] In some embodiments, the intelligent robot system used in the smart health and wellness center includes an intelligent rehabilitation robot system, an intelligent convalescent robot system, an intelligent companion robot system, an intelligent health management system, and a 5G remote system; wherein, The intelligent rehabilitation robot system is used to generate personalized postoperative rehabilitation plans for users and assist users in rehabilitation training through rehabilitation assistive robots and personalized postoperative rehabilitation plans; as well as to conduct rehabilitation monitoring and assessment during the user's rehabilitation training process. The intelligent rehabilitation robot system is used to generate personalized rehabilitation plans for users and to interact with users through the rehabilitation robot and personalized rehabilitation plans; as well as to monitor and evaluate users during the rehabilitation process. The intelligent companion robot system is used to generate personalized companion plans for users and to interact with users through companion robots and personalized companion plans; as well as to monitor and evaluate users during the companionship process; The intelligent health management system is used to generate personalized health management plans for users and to supervise and evaluate the implementation of these plans through a health management monitoring terminal.

[0046] In some embodiments, the intelligent rehabilitation robot system includes a personalized rehabilitation plan generation module, a rehabilitation assistance module, and a rehabilitation monitoring and assessment module; wherein, The personalized rehabilitation plan generation module is used to generate personalized postoperative rehabilitation plans for users. The rehabilitation assistance module is used to assist users in rehabilitation training through rehabilitation assistance robots and personalized postoperative rehabilitation plans. The rehabilitation monitoring and assessment module is used to monitor and assess rehabilitation during the user's rehabilitation training process.

[0047] In some embodiments, the intelligent convalescent robot system includes a personalized convalescent plan generation module, an intelligent convalescent robot control module, and a convalescent monitoring and assessment module; wherein... The personalized treatment plan generation module is used to generate personalized treatment plans for users. The intelligent rehabilitation robot control module is used to interact with users through the intelligent rehabilitation robot and personalized rehabilitation plans; The convalescent monitoring and assessment module is used to monitor and assess users during their convalescence.

[0048] In some embodiments, the intelligent companion robot system includes a personalized companion plan generation module, an intelligent companion robot control module, and a companion monitoring and evaluation module; wherein... The personalized care plan generation module is used to generate personalized care plans for users. The intelligent companion robot control module is used to interact with users through the intelligent companion robot and personalized companion solutions; The companionship monitoring and assessment module is used to monitor and assess users during their companionship process.

[0049] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of this application is shown.

[0050] The electronic device may include a processor 501 and a memory 502 storing computer program instructions.

[0051] Specifically, the processor 501 may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of this application.

[0052] Memory 502 may include mass storage for data or instructions. For example, and not limitingly, memory 502 may include a hard disk drive (HDD), floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. Where suitable, memory 502 may include removable or non-removable (or fixed) media. Where suitable, memory 502 may be internal or external to an electronic device. In a particular embodiment, memory 502 may be a non-volatile solid-state memory.

[0053] In one embodiment, memory 502 may be read-only memory (ROM). In one embodiment, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), an electrically rewritable ROM (EAROM), or flash memory, or a combination of two or more of these.

[0054] The processor 501 reads and executes computer program instructions stored in the memory 502 to implement any of the functions in the 5G remote system for smart elderly care centers described in the above embodiments.

[0055] In one example, the electronic device may also include a communication interface 503 and a bus 510. Wherein, as... Figure 5 As shown, the processor 501, memory 502, and communication interface 503 are connected through bus 510 and complete communication with each other.

[0056] The communication interface 503 is mainly used to realize communication between various modules, devices, units and / or equipment in the embodiments of this application.

[0057] Bus 510 includes hardware, software, or both, that couples components of an electronic device together. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a Microchannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or other suitable buses, or combinations of two or more of these. Where appropriate, bus 510 may include one or more buses. Although specific buses are described and illustrated in embodiments of this application, this application contemplates any suitable bus or interconnect.

[0058] Alternatively, embodiments of this application can be implemented using a computer-readable storage medium. This computer-readable storage medium stores computer program instructions; when executed by a processor, these computer program instructions implement any of the functions described in the above embodiments for a 5G remote system used in a smart elderly care center.

[0059] It should be clarified that this application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of this application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of this application.

[0060] The functional modules shown in the above-described block diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this application are programs or code segments used to perform the required tasks. Programs or code segments can be stored on a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried on a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. Code segments can be downloaded via computer networks such as the Internet, intranets, etc.

[0061] It should also be noted that the exemplary embodiments mentioned in this application describe methods or systems based on a series of steps or apparatus. However, this application is not limited to the order of the above steps; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0062] The aspects of this application have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It should be understood that each block in the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can also be implemented by dedicated hardware performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0063] The above description is merely a specific implementation of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application.

Claims

1. A 5G remote system for smart elderly care centers, characterized in that, include: A 5G remote data receiving module is used to receive health and wellness management data transmitted in real time by a target terminal via 5G; wherein, the health and wellness management data includes basic physiological data and / or basic psychological data of the user collected in real time; The local data intelligent processing module is used to process health and wellness management data through local smart terminals and generate health and wellness data processing results; The 5G remote data transmission module is used to transmit health and wellness data processing results to the target terminal in real time via 5G, so as to instruct the target terminal to use the health and wellness data processing results to interact with the user and realize remote health and wellness management.

2. The 5G remote system for smart elderly care centers according to claim 1, characterized in that, The local data intelligent processing module is specifically used for: Based on the local user data corresponding to the target terminal and the health and wellness management data transmitted in real time by the target terminal, generate the health and wellness data processing results corresponding to the user. Local user data includes users' medical records, which include historical diagnostic records, medical imaging data, historical medical test data, and historical surgical data.

3. The 5G remote system for smart elderly care centers according to claim 2, characterized in that, The 5G remote data transmission module is also used for: If the user's corresponding health and wellness data processing result is suspected to be abnormal, the health and wellness data processing result and data supplementation instructions are transmitted to the target terminal in real time via 5G, so as to instruct the target terminal to use the health and wellness data processing result to interact with the user and obtain supplementary monitoring data.

4. The 5G remote system for smart elderly care centers according to claim 3, characterized in that, The local data intelligent processing module is also used for: User attribute information, local user data, health management data, and supplementary monitoring data are input into a pre-trained intelligent pre-diagnosis model to obtain the pre-diagnosis results output by the intelligent pre-diagnosis model. The intelligent pre-diagnosis model includes an attribute feature extraction module, a historical feature extraction module, a real-time feature extraction module, a feature fusion module, and multiple output modules. Each output module is used to output the probability information of the user currently having each preset category of disease.

5. The 5G remote system for smart elderly care centers according to claim 4, characterized in that, The 5G remote data transmission module is also used for: In response to the registration confirmation command sent by the target terminal, an appointment registration request is sent to the smart hospital system platform via 5G based on the local user data corresponding to the target terminal; and, In response to the successful registration record sent by the smart hospital system platform, the user's pre-diagnosis report is sent to the smart hospital system platform via 5G; wherein, the pre-diagnosis report includes the user's attribute information, local user data, health management data, supplementary monitoring data, and probability information of the user's current presence of various preset categories of diseases.

6. The 5G remote system for smart elderly care centers according to claim 1, characterized in that, The target terminal includes one of the following: Blood oxygen acquisition device with integrated 5G data transceiver function, heart rate acquisition device with integrated 5G data transceiver function, blood pressure acquisition device with integrated 5G data transceiver function, blood glucose acquisition device with integrated 5G data transceiver function, and multi-functional data acquisition device with integrated 5G data transceiver function.

7. The 5G remote system for smart elderly care centers according to claim 1, characterized in that, The intelligent robot system used in the smart health and wellness center includes an intelligent rehabilitation robot system, an intelligent convalescent robot system, an intelligent companion robot system, an intelligent health management system, and a 5G remote system; among which, The intelligent rehabilitation robot system is used to generate personalized postoperative rehabilitation plans for users and assist users in rehabilitation training through rehabilitation assistive robots and personalized postoperative rehabilitation plans; as well as to conduct rehabilitation monitoring and assessment during the user's rehabilitation training process. The intelligent rehabilitation robot system is used to generate personalized rehabilitation plans for users and to interact with users through the rehabilitation robot and personalized rehabilitation plans; as well as to monitor and evaluate users during the rehabilitation process. The intelligent companion robot system is used to generate personalized companion plans for users and to interact with users through companion robots and personalized companion plans; as well as to monitor and evaluate users during the companionship process; The intelligent health management system is used to generate personalized health management plans for users and to supervise and evaluate the implementation of these plans through a health management monitoring terminal.

8. The 5G remote system for smart elderly care centers according to claim 7, characterized in that, The intelligent rehabilitation robot system includes a personalized rehabilitation plan generation module, a rehabilitation assistance module, and a rehabilitation monitoring and assessment module; wherein... The personalized rehabilitation plan generation module is used to generate personalized postoperative rehabilitation plans for users. The rehabilitation assistance module is used to assist users in rehabilitation training through rehabilitation assistance robots and personalized postoperative rehabilitation plans. The rehabilitation monitoring and assessment module is used to monitor and assess rehabilitation during the user's rehabilitation training process.

9. The 5G remote system for smart elderly care centers according to claim 7, characterized in that, The intelligent convalescent robot system includes a personalized convalescent plan generation module, an intelligent convalescent robot control module, and a convalescent monitoring and assessment module; wherein... The personalized treatment plan generation module is used to generate personalized treatment plans for users. The intelligent rehabilitation robot control module is used to interact with users through the intelligent rehabilitation robot and personalized rehabilitation plans; The convalescent monitoring and assessment module is used to monitor and assess users during their convalescence.

10. The 5G remote system for smart elderly care centers according to claim 7, characterized in that, The intelligent companion robot system includes a personalized companion plan generation module, an intelligent companion robot control module, and a companion monitoring and evaluation module; wherein... The personalized care plan generation module is used to generate personalized care plans for users. The intelligent companion robot control module is used to interact with users through the intelligent companion robot and personalized companion solutions; The companionship monitoring and assessment module is used to monitor and assess users during their companionship process.

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