Intelligent recuperating robot system for intelligent recuperating center

Abstract

The invention provides an intelligent recuperating robot system for an intelligent recuperating center, which comprises a personalized recuperating scheme generation module, an intelligent recuperating robot control module and a recuperating monitoring and evaluation module, and is characterized in that the personalized recuperating scheme generation module is used for generating a personalized recuperating scheme of a user; the intelligent recuperating robot control module is used for carrying out recuperating interaction with the user through the intelligent recuperating robot and the personalized recuperating scheme; and the recuperation monitoring and evaluating module is used for monitoring and evaluating in the recuperation process of the user.

Description

Technical Field

[0001] This application pertains to the field of health and wellness, and particularly relates to an intelligent therapeutic robot system for use in smart health and wellness centers. Background Technology

[0002] 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 smart elderly care 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 an intelligent healthcare robot system for smart health and wellness centers, which can meet users' personalized healthcare needs and provide users with a comprehensive intelligent healthcare experience.

[0005] In a first aspect, embodiments of this application provide an intelligent nursing robot system for a smart elderly care center, comprising: 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.

[0006] Optionally, the personalized treatment plan generation module is specifically used for: Based on the user's TCM four diagnostic methods data, a pre-constructed TCM knowledge graph, and a pre-trained TCM diagnostic and treatment model, a personalized TCM treatment plan associated with the user is generated; wherein, the TCM four diagnostic methods data includes tongue appearance data, pulse appearance data, consultation data, and facial color data; The construction of the TCM knowledge graph includes the following steps: Traditional Chinese medicine (TCM) knowledge is extracted from TCM literature, modern medical records, and the experience of TCM experts, and classified according to symptoms, syndromes, prescriptions, and physiotherapy methods to construct a TCM text dataset containing different categories. The TCM text dataset is cleaned of abnormal data and missing data is filled in. Then, text segmentation, stop word removal and entity recognition are performed in sequence to obtain an entity set containing symptoms, syndromes, prescriptions and physiotherapy methods. Based on the entities contained in the entity set, construct a knowledge structure including disease-syndrome-prescription and disease-syndrome-physiotherapy method, and construct a knowledge graph based on the knowledge structure.

[0007] Optionally, the personalized treatment plan generation module is specifically used for: The user's attribute information and medical data are input into a pre-trained personalized care plan generation model to obtain a personalized care plan associated with the user, output by the personalized care plan generation model; wherein, the medical data includes historical diagnostic records, medical imaging data, historical medical test data, historical surgical data, and historical medication data; The personalized care plan generation model includes an attribute feature extraction module, a medical visit feature extraction module, a feature fusion module, and multiple output modules; each output module is used to output the personalized parameters corresponding to the user when using each intelligent care robot.

[0008] Optionally, the intelligent rehabilitation robot control module is specifically used for: Control each intelligent therapy robot to interact with the user according to the user's personalized parameters; The convalescent monitoring and assessment module is specifically used for: Real-time acquisition of physiological data collected during user interaction during the therapy process; Based on the physiological data, a user's recuperation and monitoring results are generated.

[0009] Optionally, the convalescent monitoring and assessment module is specifically used for: Obtain users' physiological and mental health parameters before and after recuperation. The recuperation assessment results are obtained based on the user's physiological and psychological health parameters before and after the recuperation.

[0010] Optionally, the personalized treatment plan generation module is further used for: Based on the physiological data and rehabilitation assessment results collected during the user's rehabilitation interaction, the user's personalized rehabilitation plan is updated; The intelligent rehabilitation robot control module is also used for: The therapy interacts with users through intelligent therapy robots and updated personalized therapy plans.

[0011] Optionally, the intelligent healthcare robot includes at least one of the following: Intelligent massage robot, intelligent moxibustion robot, intelligent cupping robot, intelligent scraping robot, intelligent far-infrared therapy robot.

[0012] 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 terminals and personalized postoperative rehabilitation plans; as well as to conduct rehabilitation monitoring and assessment during the user's rehabilitation training process. The intelligent companion robot system is used to generate personalized companion plans for users and to interact with users through companion terminals 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 by users through a health management monitoring terminal. A 5G remote system is used to receive health and wellness management data transmitted in real time by a target terminal via 5G; process the health and wellness management data through a local smart terminal to generate health and wellness data processing results; and transmit the health and wellness data processing results to the target terminal in real time via 5G to instruct the target terminal to use the health and wellness data processing results to interact with the user, thereby realizing remote health and wellness management; wherein, the health and wellness management data includes the user's basic physiological data and / or basic psychological data collected in real time.

[0013] 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 terminals 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.

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

[0015] Optionally, the 5G remote system 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.

[0016] Secondly, embodiments of this application provide an intelligent convalescent management method for a smart health and wellness center, wherein the intelligent convalescent management method is used to implement the functions of the intelligent convalescent robot system for a smart health and wellness center as described in any embodiment of the first aspect.

[0017] 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 the functions of the intelligent nursing robot system used in the smart health and wellness center.

[0018] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer program instructions, which, when executed by a processor, implement functions in an intelligent nursing robot system for a smart elderly care center.

[0019] The intelligent rehabilitation robot system, method, device, and computer-readable storage medium for smart health and wellness centers described in this application can meet users' personalized rehabilitation needs and provide users with a comprehensive intelligent rehabilitation experience. Attached Figure Description

[0020] 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.

[0021] Figure 1 This is a schematic diagram of the architecture of an intelligent nursing robot system for a smart elderly care center provided in one embodiment of this application; Figure 2This is an architecture diagram of a personalized care plan generation model used by an intelligent care robot system for a smart health and wellness center, provided in one embodiment of this application. Figure 3 This is a flowchart illustrating the intelligent care management process during the use of an intelligent care robot system for a smart elderly care center, as provided in one embodiment of this application. Figure 4 This is a schematic diagram of the structure of an electronic device provided in one embodiment of this application. Detailed Implementation

[0022] 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 intended only 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.

[0023] It should be noted that, in this document, relational terms such as "first" and "second" are used only 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 other identical elements in the process, method, article, or apparatus that includes said element.

[0024] To address the problems of the prior art, this application provides at least one intelligent rehabilitation robot system for smart health and wellness centers. The intelligent rehabilitation robot system for smart health and wellness centers provided in this application will be described below.

[0025] Figure 1 This is a schematic diagram of the architecture of an intelligent nursing robot system for a smart elderly care center, provided in one embodiment of this application. Figure 1 As shown, the intelligent nursing robot system for smart elderly care centers includes: 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.

[0026] It should be noted that the intelligent robot (terminal) used in the intelligent rehabilitation robot system disclosed in this application can be an embodied intelligent robot (terminal), and the model used can be updated and iterated based on real-time feedback and collected relevant data to optimize the user experience.

[0027] In some embodiments, the personalized treatment plan generation module is specifically used for: Based on the user's TCM four diagnostic methods data, a pre-constructed TCM knowledge graph, and a pre-trained TCM diagnostic and treatment model, a personalized TCM treatment plan associated with the user is generated; wherein, the TCM four diagnostic methods data includes tongue appearance data, pulse appearance data, consultation data, and facial color data; The construction of the TCM knowledge graph includes the following steps: Traditional Chinese medicine (TCM) knowledge is extracted from TCM literature, modern medical records, and the experience of TCM experts, and classified according to symptoms, syndromes, prescriptions, and physiotherapy methods to construct a TCM text dataset containing different categories. The TCM text dataset is cleaned of abnormal data and missing data is filled in. Then, text segmentation, stop word removal and entity recognition are performed in sequence to obtain an entity set containing symptoms, syndromes, prescriptions and physiotherapy methods. Based on the entities contained in the entity set, construct a knowledge structure including disease-syndrome-prescription and disease-syndrome-physiotherapy method, and construct a knowledge graph based on the knowledge structure.

[0028] In some embodiments, the TCM diagnosis and treatment model may include a multimodal data processing module, a knowledge graph module, and an intelligent diagnosis and decision-making module. The multimodal data processing module is used to extract and fuse features from the four diagnostic methods (inspection, auscultation and olfaction, palpation, and olfaction) data input to the model for subsequent constitution identification and other processing. The knowledge graph module is used to augment the input data to enrich the semantic information in the subsequent intelligent diagnosis and decision-making process; and to assist in the model inference and output stages, such as verifying the initial output results of the model based on the content in the knowledge graph to improve the accuracy of the output results. The intelligent diagnosis and decision-making module is used to perform intelligent TCM diagnosis based on the knowledge graph's inference engine and multimodal data, and further match suitable intelligent treatment robot usage schemes based on the diagnostic results.

[0029] In some embodiments, the TCM diagnosis and treatment model can be obtained by sequentially training, supervising fine-tuning, applying a reward model, and performing reinforcement learning on the basis of a generative model; wherein... In the pre-training stage, open-source models such as Llama-4 can be used as the base model, and TCM knowledge graphs can be used for pre-training to enable the pre-trained model to understand TCM terminology and related concepts.

[0030] During the supervised fine-tuning phase, structured training data based on medical case data can be used to fine-tune the pre-trained model obtained after pre-training. The training data can be, for example, the input: "Patient has stomach pain, dry mouth and red tongue, thready and rapid pulse, and slightly yellow complexion", and the output: "Diagnosis: Spleen and stomach yin deficiency type; Treatment: Nourishing yin and harmonizing the stomach; Prescription: Modified Sha Shen Mai Dong Tang".

[0031] In the reward model phase, a reward model based on TCM expert standards can be constructed to evaluate the accuracy and rationality of the diagnostic and treatment / physiotherapy recommendations output by the model.

[0032] During the reinforcement learning phase, the model can be optimized through reinforcement learning to provide diagnostic and treatment suggestions that are more in line with traditional Chinese medicine theory. On the other hand, the accuracy of diagnosis can be continuously optimized by combining feedback from smart health and wellness centers on actual user experiences.

[0033] For example, the personalized TCM health care plan generated by the TCM diagnosis and treatment model may include the following diagnostic results: "Syndrome type: Spleen and stomach yin deficiency type; Constitution: Yin deficiency constitution (red tongue with little coating, thready and rapid pulse); Health risks: prone to problems such as dry mouth, insomnia, and indigestion; Etiological analysis: long-term irregular diet, depletion of stomach yin," and physiotherapy suggestions: "Physiotherapy equipment: intelligent moxibustion robot; Usage plan: Location: Zhongwan acupoint, Zusanli acupoint; Frequency: once a day, 20 minutes each time; Duration: it is recommended to use continuously for 15 days; Precautions: avoid use on an empty stomach; pay attention to temperature during use to avoid burns; those with sensitive skin should reduce the use time; Auxiliary suggestions: Diet: eat more foods that nourish yin and moisten dryness, such as pears, white fungus, and lilies; Massage: massage Zusanli acupoint for 10 minutes every day; Sleep: maintain a regular schedule and avoid staying up late."

[0034] Thus, the trained TCM diagnostic and therapeutic model has the following advantages: 1. Multimodal data fusion: Combining multi-dimensional data such as tongue appearance, facial appearance, pulse appearance, and medical history to improve diagnostic accuracy.

[0035] 2. Knowledge Graph Driven: Achieve precise association between symptoms, syndrome types, and prescriptions through traditional Chinese medicine knowledge graphs.

[0036] 3. Intelligent matching of rehabilitation robots: Intelligently matching TCM diagnosis results with rehabilitation robot usage plans.

[0037] 4. Continuous learning mechanism: Based on user feedback and expert evaluation, continuously optimize diagnosis and suggestions.

[0038] 5. Adapted to health and wellness scenarios: Designed specifically for smart health and wellness centers, it boasts a high degree of intelligence and meets users' personalized needs.

[0039] In some embodiments, the personalized treatment plan generation module is specifically used for: The user's attribute information and medical data are input into a pre-trained personalized care plan generation model to obtain a personalized care plan associated with the user, output by the personalized care plan generation model; wherein, the medical data includes historical diagnostic records, medical imaging data, historical medical test data, historical surgical data, and historical medication data; The personalized care plan generation model includes an attribute feature extraction module, a medical visit feature extraction module, a feature fusion module, and multiple output modules; each output module is used to output the personalized parameters corresponding to the user when using each intelligent care robot.

[0040] Figure 2 This is an architecture diagram of a personalized care plan generation model used by an intelligent care robot system for a smart health and wellness center, provided in one embodiment of this application.

[0041] The user attribute information may include age, gender, weight, height, BMI, occupation, history of underlying diseases, allergies, etc.; the historical diagnostic records may include diagnostic description information, such as "left knee arthritis"; the medical imaging data may include knee X-rays, MRI, CT scans, etc.; the historical medical test data may include complete blood count data, blood biochemistry data, urine test results, etc.; the historical surgical records may include surgical type, surgical time, postoperative rehabilitation records, postoperative complication records, etc.; the historical medication records may include the name, dosage, frequency, and time of medication taken, etc.

[0042] In some embodiments, the attribute feature extraction module included in the personalized care plan generation 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.

[0043] In some embodiments, the personalized healthcare plan generation model includes a patient visit feature extraction module, which may consist of a text encoder, an image encoder, a laboratory 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 encoder's output dimension is set to 2048; the test data MLP can consist 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 also consist 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.

[0044] In some embodiments, the feature fusion module included in the personalized care plan generation model takes as input a 32-dimensional feature vector output by the attribute feature extraction module and a 128-dimensional feature vector output by the medical visit feature extraction module, and then passes them sequentially through a concatenation process, a fully connected layer, and a Swish activation layer to obtain the output 128-dimensional fused feature vector.

[0045] In some embodiments, the intelligent rehabilitation robot control module is specifically used for: Control each intelligent therapy robot to interact with the user according to the user's personalized parameters; The convalescent monitoring and assessment module is specifically used for: Real-time acquisition of physiological data collected during user interaction during the therapy process; Based on the physiological data, a user's recuperation and monitoring results are generated.

[0046] In some embodiments, the convalescent monitoring and assessment module is specifically used for: Obtain users' physiological and mental health parameters before and after recuperation. The recuperation assessment results are obtained based on the user's physiological and psychological health parameters before and after the recuperation.

[0047] In some embodiments, the personalized treatment plan generation module is further configured to: Based on the physiological data and rehabilitation assessment results collected during the user's rehabilitation interaction, the user's personalized rehabilitation plan is updated; The intelligent rehabilitation robot control module is also used for: The therapy interacts with users through intelligent therapy robots and updated personalized therapy plans.

[0048] In some embodiments, the intelligent healthcare robot includes at least one of the following: Intelligent massage robot, intelligent moxibustion robot, intelligent cupping robot, intelligent scraping robot, intelligent far-infrared therapy robot.

[0049] Figure 3 This is a flowchart illustrating the intelligent care management process during the use of an intelligent care robot system for a smart elderly care center, as provided in one embodiment of this application. Figure 3 As shown, this intelligent healthcare management method includes: S301, Generate a personalized treatment plan for the user.

[0050] S302. Interact with users through intelligent therapy robots and personalized therapy plans.

[0051] S303. Monitor and assess users during their recuperation process.

[0052] 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, and a 5G remote control 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 terminals and personalized postoperative rehabilitation plans; as well as to conduct rehabilitation monitoring and assessment during the user's rehabilitation training process. The intelligent companion robot system is used to generate personalized companion plans for users and to interact with users through companion terminals 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 by users through a health management monitoring terminal. A 5G remote system is used to receive health and wellness management data transmitted in real time by a target terminal via 5G; process the health and wellness management data through a local smart terminal to generate health and wellness data processing results; and transmit the health and wellness data processing results to the target terminal in real time via 5G to instruct the target terminal to use the health and wellness data processing results to interact with the user, thereby realizing remote health and wellness management; wherein, the health and wellness management data includes the user's basic physiological data and / or basic psychological data collected in real time.

[0053] 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 terminals 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.

[0054] Optionally, the intelligent companion robot system includes a personalized companionship plan generation module, an intelligent companionship terminal control module, and a companionship monitoring and evaluation module; wherein, The personalized companionship plan generation module is used to generate personalized companionship plans for users. The intelligent companion terminal control module is used to interact with users through the intelligent companion terminal and personalized companion solutions. The companionship monitoring and assessment module is used to monitor and assess users during companionship.

[0055] Optionally, the 5G remote system 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.

[0056] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of this application is shown.

[0057] The electronic device may include a processor 401 and a memory 402 storing computer program instructions.

[0058] Specifically, the processor 401 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.

[0059] Memory 402 may include mass storage for data or instructions. For example, and not limitingly, memory 402 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 appropriate, memory 402 may include removable or non-removable (or fixed) media. Where appropriate, memory 402 may be internal or external to an electronic device. In a particular embodiment, memory 402 may be a non-volatile solid-state memory.

[0060] In one embodiment, memory 402 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.

[0061] The processor 401 reads and executes computer program instructions stored in the memory 402 to implement the functions of the intelligent nursing robot system for a smart elderly care center as described in any of the above embodiments.

[0062] In one example, the electronic device may also include a communication interface 403 and a bus 410. For example, Figure 4 As shown, the processor 401, memory 402, and communication interface 403 are connected through bus 410 and complete communication with each other.

[0063] The communication interface 403 is mainly used to realize communication between various modules, devices, units and / or equipment in the embodiments of this application.

[0064] Bus 410 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 410 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.

[0065] 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 the functions of any of the intelligent nursing robot systems for smart elderly care centers described in the above embodiments.

[0066] 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.

[0067] 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.

[0068] 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.

[0069] 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.

[0070] 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. An intelligent rehabilitation robot system for smart health and wellness centers, characterized in that, include: 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.

2. The intelligent rehabilitation robot system for smart health and wellness centers according to claim 1, characterized in that, The personalized treatment plan generation module is specifically used for: Based on the user's TCM four diagnostic methods data, a pre-constructed TCM knowledge graph, and a pre-trained TCM diagnostic and treatment model, a personalized TCM treatment plan associated with the user is generated; wherein, the TCM four diagnostic methods data includes tongue appearance data, pulse appearance data, consultation data, and facial color data; The construction of the TCM knowledge graph includes the following steps: Traditional Chinese medicine (TCM) knowledge is extracted from TCM literature, modern medical records, and the experience of TCM experts, and classified according to symptoms, syndromes, prescriptions, and physiotherapy methods to construct a TCM text dataset containing different categories. The TCM text dataset is cleaned of abnormal data and missing data is filled in. Then, text segmentation, stop word removal and entity recognition are performed in sequence to obtain an entity set containing symptoms, syndromes, prescriptions and physiotherapy methods. Based on the entities contained in the entity set, construct a knowledge structure including disease-syndrome-prescription and disease-syndrome-physiotherapy method, and construct a knowledge graph based on the knowledge structure.

3. The intelligent rehabilitation robot system for smart health and wellness centers according to claim 1, characterized in that, The personalized treatment plan generation module is specifically used for: The user's attribute information and medical data are input into a pre-trained personalized care plan generation model to obtain a personalized care plan associated with the user, output by the personalized care plan generation model; wherein, the medical data includes historical diagnostic records, medical imaging data, historical medical test data, historical surgical data, and historical medication data; The personalized care plan generation model includes an attribute feature extraction module, a medical visit feature extraction module, a feature fusion module, and multiple output modules; each output module is used to output the personalized parameters corresponding to the user when using each intelligent care robot.

4. The intelligent rehabilitation robot system for smart health and wellness centers according to claim 3, characterized in that, The intelligent rehabilitation robot control module is specifically used for: Control each intelligent therapy robot to interact with the user according to the user's personalized parameters; The convalescent monitoring and assessment module is specifically used for: Real-time acquisition of physiological data collected during user interaction during the therapy process; Based on the physiological data, a user's recuperation and monitoring results are generated.

5. The intelligent rehabilitation robot system for smart health and wellness centers according to claim 3 or 4, characterized in that, The convalescent monitoring and assessment module is specifically used for: Obtain users' physiological and mental health parameters before and after recuperation. The recuperation assessment results are obtained based on the user's physiological and mental health parameters before and after the recuperation.

6. The intelligent rehabilitation robot system for smart health and wellness centers according to claim 5, characterized in that, The personalized treatment plan generation module is also used for: Based on the physiological data and assessment results collected during the user's recuperation interaction, the user's personalized recuperation plan is updated; The intelligent rehabilitation robot control module is also used for: The therapy interacts with users through intelligent therapy robots and updated personalized therapy plans.

7. The intelligent rehabilitation robot system for smart health and wellness centers according to claim 1, characterized in that, The intelligent healthcare robot includes at least one of the following: Intelligent massage robot, intelligent moxibustion robot, intelligent cupping robot, intelligent scraping robot, intelligent far-infrared therapy robot.

8. The intelligent rehabilitation robot system for smart health and wellness 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 control 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 terminals and personalized postoperative rehabilitation plans; as well as to conduct rehabilitation monitoring and assessment during the user's rehabilitation training process. The intelligent companion robot system is used to generate personalized companion plans for users and to interact with users through companion terminals 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 by users through a health management monitoring terminal. A 5G remote system is used to receive health and wellness management data transmitted in real time by a target terminal via 5G; process the health and wellness management data through a local smart terminal to generate health and wellness data processing results; and transmit the health and wellness data processing results to the target terminal in real time via 5G to instruct the target terminal to use the health and wellness data processing results to interact with the user, thereby realizing remote health and wellness management; wherein, the health and wellness management data includes the user's basic physiological data and / or basic psychological data collected in real time.

9. The intelligent rehabilitation robot system for smart health and wellness centers according to claim 8, 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 terminals 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.

10. The intelligent rehabilitation robot system for a smart health and wellness center according to claim 8, characterized in that, The 5G remote system 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.

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