116 results about "Nursing management" patented technology

The invention discloses an intelligent nursing management system and method for a critical patient, and relates to the technical field of medical health monitoring, and the method comprises the steps: setting a multi-physiological signal collection channel, synchronously collecting multi-dimensional physiological signals of the patient, carrying out the preprocessing of the collected signals, and forming a standardized multi-modal physiological data flow; the preprocessed multi-modal physiological data are input into a deep learning model based on LSTM and a multi-head attention mechanism, intelligent fusion analysis of different physiological signals is achieved in combination with a dynamic weight adaptive algorithm, and a patient individualized physiological system coupling model is established; and based on an analysis result of the deep learning model, calculating an illness state risk assessment value of the patient in real time, and outputting a specific early warning level according to a set multi-level early warning threshold. According to the invention, the multi-stage and multi-dimensional early warning threshold system is constructed, so that the condition of the patient can be monitored and early warned in all directions. The monitoring quality of critically ill patients can be remarkably improved, and the missed judgment rate and the misjudgment rate are reduced.

The invention discloses a nursing system and a monitoring method thereof, and the method comprises the following steps: collecting the physiological data of a patient through an intelligent sensor, forming a dynamic health data flow, carrying out the analysis in combination with historical health data, extracting key health features based on a time sequence attention mechanism, and carrying out the monitoring of the key health features. A machine learning model is adopted to predict the health state of a patient, a health mode between the patient and a similar patient is calculated to generate a personalized nursing scheme, and combined optimization is performed on health state prediction and a nursing recommendation scheme in combination with a time sequence collaborative multi-task learning framework, so that dynamic adjustment of the nursing scheme is realized; the system also includes an adaptive care intervention module that optimizes a care intervention strategy according to the latest health data of the patient and continuously iteratively optimizes the care scheme based on the care execution feedback. According to the invention, a complete nursing closed loop from data acquisition, analysis, prediction and recommendation to optimization and intervention is constructed, and accurate monitoring and personalized nursing management of the health state of the patient are realized.

The invention discloses a traditional Chinese medicine nursing management system and method based on a cloud follow-up visit management platform, and belongs to the technical field of intelligent nursing. The management system comprises the following modules: a dynamic data acquisition module for acquiring physiological parameters, living habits and environmental data of a patient in real time and performing primary processing; the dynamic health archive construction module is used for constructing and continuously updating an individualized health archive of the patient based on the data collected in real time; the traditional Chinese medicine knowledge map and reasoning module depends on the traditional Chinese medicine nursing knowledge map and combines an intelligent reasoning technology to realize accurate traditional Chinese medicine syndrome differentiation and treatment analysis and automatically generate a personalized nursing scheme; the multi-dimensional patient feedback module is used for constructing a feedback mechanism fusing objective data, patient subjective feeling and medical care evaluation so as to extract key nursing effect information; and the nursing scheme iterative optimization module dynamically adjusts and optimizes the traditional Chinese medicine nursing scheme based on the feedback data, and realizes personalized and self-adaptive continuous improved nursing.

The invention relates to the field of medical health management, in particular to a neurosurgery postoperative care management system and method. The method specifically comprises the steps that physiological index data of a patient is monitored and collected regularly, and a comprehensive index is calculated based on the physiological index data; based on the comprehensive index, calculating a current complication risk and a future complication risk by adopting a dynamic trend risk assessment and prediction algorithm to obtain a current complication risk value and a future complication risk value; and calculating a personalized nursing index based on the current complication risk value and the future complication risk value, judging the nursing priority of the patient according to the personalized nursing index, and adjusting the nursing scheme according to the nursing priority. The problems that a traditional postoperative nursing method lacks real-time dynamic evaluation, lacks comprehensive evaluation on the overall physiological state of a patient, is low in nursing efficiency and cannot meet the nursing requirements of part of patients in time are solved.

The invention, which relates to the technical field of nursing management, discloses a patient information safety management system for liver, gall and pancreatic internal medicine nursing, comprising a nursing information management center. The nursing information management center is in communication connection with a patient information collection module, an information classification processing module, a health trend analysis module, a risk assessment analysis module, a risk early warning planning module and an information synchronous updating module. According to the patient information safety management system for nursing in the department of hepatobiliary and pancreatic, through implementation of the patient information safety management system, medical staff can access latest and most accurate patient data in real time, and a risk assessment analysis module comprehensively analyzes the medical history, the current illness state and the treatment progress of a patient and calculates a risk assessment coefficient; in addition, by updating the medical information of the patient in real time, making and executing a personalized nursing plan, the change of the illness state of the patient is quickly responded, and the nursing and treatment scheme is adjusted in time.

The invention relates to the technical field of postoperative rehabilitation nursing management systems, in particular to a postoperative rehabilitation nursing management system based on data analysis, which comprises a data acquisition module; the physiological health analysis module is used for generating a health state evaluation result based on the physiological data, and the physiological health analysis module comprises a dynamic weighted information entropy collaborative matrix, nonlinear smooth prediction, multi-level abnormal deviation detection, personalized dynamic threshold adaptation and progressive health state grading collaborative evaluation; the health evaluation module is used for obtaining a rehabilitation level based on the health state evaluation result; the system comprises a dynamic weighting information entropy collaborative matrix algorithm, a rehabilitation recommendation module, a nursing plan module, a health information module and an expert suggestion module, realizes real-time weighting of complex association among physiological data through the dynamic weighting information entropy collaborative matrix algorithm, overcomes the problem that a traditional fixed weight model is difficult to adapt to dynamic change of data, and improves the accuracy of data processing through dynamic adjustment of collaborative matrix weight. And the health state change of the patient is accurately captured.

The invention discloses an intelligent dietary nutrition nursing management system and method based on health data, and relates to the technical field of medical nutrition management. The method includes generating nutritional requirement feature information of a user; analyzing the loss rates of the key nutritional ingredients of the target food material in different processing modes, and obtaining a nutritional loss weight value corresponding to each processing mode; establishing an adaptability matching model according to the nutrition demand feature information and the nutrition loss weight value, and selecting a processing mode meeting the user demand; dynamically adjusting the recommended diet scheme according to the selected processing mode in combination with the current real-time health state data of the user; and recording feedback data of the user on the recommended diet scheme and subsequent changes of the health state, and dynamically optimizing the matching model. According to the invention, a more personalized and scientific diet management scheme is provided, and the problems of low diet scheme recommendation precision and insufficient dynamic adaptive capacity in the prior art are effectively solved.

The invention relates to an intelligent nursing management system based on artificial intelligence, in particular to the field of intelligent nursing services, and realizes efficient and personalized nursing services by integrating multi-source heterogeneous data and an advanced artificial intelligence technology. According to the system, wearable equipment, physiological signals, environment data and emotion data are fused into low-dimensional spatiotemporal features by using a dynamic graph convolutional network, the data processing efficiency is greatly improved, an LSTM model is trained locally through a federated learning framework and a gradient distillation mechanism, the communication burden is reduced while privacy protection is optimized, and the user experience is improved. A dynamic path generation module analyzes user behaviors, generates personalized nursing paths and marks potential risks, and finally, a meta-reinforcement learning mechanism dynamically adjusts a feature weighting coefficient to ensure that a new user is adaptive within 15 minutes, so that the intelligence, accuracy and efficiency of nursing services are remarkably improved.

The invention provides a whole-course nursing management system combining traditional Chinese medicine and western medicine for tumor patients, and relates to the field of intelligent health management.The whole-course nursing management system comprises the steps that physiological, exercise, diet and psychological condition data of the tumor patients are collected at first, and then potential health risks of the tumor patients are recognized by analyzing the physiological, exercise and diet data; meanwhile, the enthusiasm of the patient is evaluated according to psychological condition data, and then all collected data and recognition and evaluation results are input into a Chinese and western medicine combined nursing health management suggestion engine based on a large language model to generate a Chinese and western medicine combined nursing health management suggestion conforming to the actual condition of the tumor patient. Therefore, comprehensive and personalized health management service can be provided for tumor patients.

The invention relates to the technical field of medical data processing, in particular to an intelligent liver, gall, pancreatic and spleen disease nursing management system which comprises a parameter selection module, a feature extraction module, a risk assessment module, a node deduction module and a collaborative distribution module. According to the invention, through correlation analysis of disease types and physiological parameters, establishment of a monitoring parameter screening mechanism, avoidance of ineffective parameter interference, dynamic identification of key indexes, and quantitative evaluation of parameter deviation degree and organ function influence, the real-time evaluation capability of patient states is improved; risk level evolution trend prediction and intervention matching degree analysis are adopted, the timeliness and adaptation degree of nursing intervention measures are optimized, task pressure index calculation and role permission recognition are utilized, dynamic allocation of nursing resources among multiple roles is achieved, the response efficiency of a management system to an emergency state is enhanced, and the risk level evolution trend prediction and intervention matching degree analysis are combined. And the collaboration and the real-time performance of the nursing process are improved.

The invention relates to the technical field of data feature mining, in particular to a remote nursing management method based on data feature mining. The method comprises the following steps: acquiring specific conditions and demand data of a patient; performing data source selection and configuration according to the specific condition and demand data of the patient to obtain a data source configuration table; performing multi-dimensional data acquisition according to the data source configuration table, and performing multi-dimensional data preprocessing to obtain patient comprehensive data; carrying out individualized baseline modeling on the patient comprehensive data to obtain an individual baseline model; performing real-time data standardization on the patient comprehensive data to obtain standardized real-time data; performing deviation calculation according to the standardized real-time data and the individual baseline model to obtain a deviation value sequence; and performing index correlation analysis on the deviation value sequence to obtain an index correlation matrix. According to the invention, the utilization of data feature mining is improved, so that remote nursing management is more accurate and personalized, and finally the nursing quality and efficiency are improved.

The utility model provides an infant enterostomy plugging device, and belongs to the technical field of medical instruments. The infant enterostomy plugging device comprises a sealing plate, a hollow pipe is fixed to the middle of the lower end face of the sealing plate, a pipe opening communicated with the hollow pipe is formed in the middle of the upper end face of the sealing plate, the pipe opening is matched with a sealing cover, and an expansion balloon is arranged in the middle of the hollow pipe in a surrounding mode. A water injection pipe extending into the inner wall of the hollow pipe is installed on the upper end face of the sealing plate, and the lower end of the water injection pipe is communicated with the expansion balloon. One end of the sealing cover is connected with a soft belt, and the soft belt is fixed to the edge of the upper end face of the sealing plate. The enterostomy bag can be suitable for enterostomy with different sizes, is flexible to use, can accommodate the intestine body exposed out of the enterostomy to avoid compression, and is beneficial to improving the nursing management effect of the enterostomy.

The invention relates to the technical field of intelligent medical treatment, in particular to a urinary surgery postoperative risk layering intelligent nursing management system which comprises the steps of preprocessing dynamic sign flow data of a patient to obtain regular sign time sequence data; and separating a core vital sign track, a wound exudation quantitative sequence and an autonomous perception discomfort record through modal analysis. The feature calculation module compares the vital sign trajectory with a standard recovery trajectory library to generate a sign bias spectrum, analyzes the exudation sequence to obtain a wound humidity distribution vector, and calculates a time attenuation factor of the pain event according to the discomfort record. And the space construction and layering module combines the features to construct a multi-dimensional risk base space, and identifies boundary coordinates of high-risk, medium-risk and low-risk risk clusters through clustering. And the strategy generation module divides risk levels and allocates corresponding monitoring and intervention measures according to the risk levels. According to the system, dynamic and multi-dimensional quantitative evaluation of the postoperative recovery state and objective automatic layering of risks are achieved.

The invention discloses a chronic disease patient nursing management system based on big data, which relates to the technical field of medical nursing and comprises a disease course development analysis unit, a patient health analysis unit, an online diagnosis and treatment unit, a nursing management unit, a nursing recommendation unit and a nursing correction unit. According to the invention, the disease course development model of the chronic disease is constructed according to the disease course development data, the disease development evaluation trend is graded and judged according to the physiological data of the patient, the judgment result is corrected through the online diagnosis and treatment unit, and the matched nursing list is obtained according to the judgment result. The nursing list is sent to a remote medical terminal of a nurse and an intelligent mobile terminal of a family member of the chronic disease patient, physiological data of the patient is obtained after each nursing judgment period is completed, the correction trend of the nursing influence coefficient is judged, and the effect of the nursing scheme is evaluated. The nursing list is timely corrected according to the chronic disease development process of the patient, the disease development condition of the patient is better matched, and chronic disease deterioration is inhibited.

The invention discloses a multiple myeloma patient nursing management system and method, and relates to the technical field of medical nursing, and the method comprises the steps: obtaining the medical data of a multiple myeloma patient through a data fusion platform, and integrating the medical data through a multi-source heterogeneous data set; making a medical plan for the multiple myeloma patient based on the preprocessing result of the medical data; and performing intervention suggestion on the medical plan according to the medical treatment decision model to complete nursing management of the multiple myeloma patient. According to the method, efficient integration and high-quality processing of medical data are achieved, abnormal data can be recognized and repaired in time, the accuracy and safety of a medical plan are ensured, and the nursing quality and the treatment effect of multiple myeloma patients are remarkably improved in combination with intervention suggestions of a medical treatment decision model.

The invention discloses a ward health education robot, and the robot is internally provided with a health education platform, and the health education platform comprises a personalized education module which is responsible for generating a personalized guidance scheme according to the personal information of a patient; the intelligent question and answer module is responsible for intelligently recommending related health knowledge and matters needing attention; the medicine use and treatment nursing management module is responsible for recording the medicine use condition of the patient and generating a schedule about the patient; the intelligent navigation and hospital guide module is responsible for realizing autonomous navigation of the patient from a ward to a designated place; the physical sign monitoring and analyzing module is responsible for collecting vital sign data of a patient and generating a health report and early warning information; according to the system, the emotion recognition and interaction optimization module recognizes the emotional state of the patient and adjusts the communication mode and content according to the emotional state, the anxiety and fear emotion of the patient can be relieved, and the confidence of the patient in fighting the disease is enhanced.

The invention discloses a household collaborative nursing management system for diabetic sleep disorders and an implementation method, relates to the technical field of nursing management, and aims to automatically establish and adjust a layered nursing structure according to health data of a patient, realize correlation analysis among multiple targets, ensure that the most urgent health problem is effectively intervened firstly, and improve the nursing efficiency. The information collaboration degree is utilized to fuse related data of a plurality of nursing targets, accuracy and high efficiency of the data are ensured, so that treatment and nursing strategies are optimized, mutual support and coordination of various nursing targets are ensured, conflicts among targets in a traditional treatment scheme are avoided, dynamic adjustment is carried out through a self-adaptive optimization algorithm, and the treatment efficiency is improved. According to the health state change of the patient, the nursing scheme is adjusted in real time, it is guaranteed that the patient can obtain personalized and continuously-optimized nursing management, the treatment effect of diabetes and sleep disorder dual management is remarkably improved, and the life quality and treatment compliance of the patient are improved.

The invention discloses a nursing information online management system based on multi-source data fusion, which belongs to the field of nursing and comprises modules of data acquisition, access, standardization, compatible processing, storage, privacy protection, intelligent fusion and the like. The system collects multi-protocol data through edge nodes, uniformly converts the multi-protocol data into an intermediate format and performs standardized processing, so that semantic consistency and structure unification are realized. A structure mapping and primary key synchronization mechanism is adopted, and a heterogeneous system data barrier is broken through. Nursing information storage is based on a column database, and performance and reliability are enhanced by combining cold and hot stratification and replica redundancy. The encryption module supports field-level encryption and auditing traceability, and data privacy is guaranteed. The fusion engine utilizes a graph neural network and time sequence modeling to aggregate multi-maintenance information and predict risks. Asynchronous communication and a Protobuf protocol are adopted among the modules, so that low-delay and high-throughput data flow is realized. The intelligent nursing management system has the beneficial effects that the intelligence, precision and safety of nursing management are remarkably improved.

The invention relates to the technical field of medical information, in particular to an interventional operation patient perioperative period nursing information intelligent interaction and management system which comprises the steps that through an integrated data collection module, a timeline generation module, a risk identification module, a nursing intervention module and an interaction management module, time axis alignment and structured coding are conducted on scattered physiological data and diagnosis and treatment events; and a dynamic comprehensive nursing timeline is formed. And performing real-time analysis on the timeline based on a preset risk knowledge graph, identifying an abnormal data mode and generating an early warning. The system automatically matches a nursing rule base, pushes individualized intervention suggestions including specific operations, priorities and bases, synchronizes information and collects feedback through a multi-role interaction channel, and realizes closed-loop management. According to the system, fragmented nursing information can be integrated into a continuous dynamic view, and risk early warning and structured nursing actions are directly linked, so that the collaboration, accuracy and timeliness of nursing management are improved.

The invention discloses an emergency intensive care unit nursing management system and method based on cloud computing, and relates to the field of nursing management, and the emergency intensive care unit nursing management system comprises a management and control module which is used for editing and executing operation instructions of all function modules; the acquisition unit is used for acquiring personal information of a current patient and acquiring physique data, action data and audio data; the preprocessing module is used for performing cleaning, standardization and key feature extraction on the acquired data; the model construction module is used for constructing an anomaly prediction model through a random forest algorithm, and performing model training by taking historical acquisition data as a training sample; by integrating multi-dimensional data and utilizing an anomaly prediction model to automatically learn and adapt to the characteristics of different patients, intelligent anomaly detection is performed based on currently acquired physical data, actions and sounds of the patients, and the configuration of medical personnel and medical equipment is automatically optimized according to the anomaly levels of the patients.

The invention discloses a management method and system for coping with nursing rehabilitation service, and relates to the technical field of nursing management. The method comprises the following steps: collecting and maintaining personal information of all users; health assessment is conducted on the target user regularly, and a rehabilitation state data set is obtained; the technical key points are as follows: the daily average nursing duration fine adjustment operation when the nursing grade reaches the limit is constructed, and the Barthel index, the PEI value and the ideal range deviation degree of the physical state evaluation value are introduced, so that the whole scheme can flexibly adjust the nursing duration to adapt to the rehabilitation trend change on the premise that the nursing grade is not changed or cannot be continuously adjusted, and the rehabilitation effect is improved. On one hand, personalized nursing resource configuration is carried out according to functional state differences, service flexibility is enhanced while nursing grade stability is maintained, on the other hand, the nursing disjunction phenomenon caused by grade limitation is avoided, and optimal management operation on nursing operation is completed.

The invention belongs to the field of intelligent interaction equipment, and particularly relates to cognitive decline old people intelligent interaction equipment based on AR glasses, which comprises an AR glasses module, an intelligent interaction equipment module and a cloud server module, and the AR glasses module, the intelligent interaction equipment module and the cloud server module carry out real-time data exchange and synchronization through a wireless communication technology. The cloud server module comprises a user interface, a core processing unit, a family member end collaborative management applet and a nursing management module, the nursing management module comprises a nursing closed-loop management module, and eight modules of health management, cognition activation, emotion activation, diet activation, exercise activation, social activation, barrier-free interaction and nursing closed-loop management are combined. All-around intervention is provided for patients with mild cognitive impairment and Alzheimer's disease, cognitive decline is delayed, and the life quality is improved.

The invention relates to the technical field of old-age nursing task automatic generation and distribution, and discloses an old-age nursing task automatic generation and distribution method. The overall process comprises the steps of collecting basic data of the old people and nursing personnel, defining original variables, performing standardization processing on the data, and calculating feature distances between the old people; then adaptively determining distance scale parameters, constructing a similarity matrix and extracting connected components, and realizing demand clustering of the elderly; and on the basis, a greedy strategy is adopted to select the least nursing personnel to cover the service demand, tasks are accurately distributed according to the capability proportion, and a result is output. According to the method, a whole-process closed loop from data acquisition to task allocation is realized, and the method has an end-to-end automation capability. Through standardized modeling, similarity calculation, graph theory clustering and a greedy optimization algorithm, the scheme realizes intelligent nursing management in a resource limited environment.

The invention relates to the technical field of nursing informatization, and particularly discloses an alarm system and method for intelligent nursing management. The system comprises a data acquisition module, a threshold judgment module, an intelligent analysis module, an alarm push module and a record archiving module. The data acquisition module is used for acquiring multiple physiological parameter data of a patient in real time; the threshold judgment module judges whether to trigger a primary alarm or not according to a set standard value and tolerance; the intelligent analysis module calculates an alarm comprehensive risk index in combination with the primary alarm result, the historical health state of the patient, the nursing grade and the medication condition; the alarm pushing module synchronously pushes the alarm information to the nurse terminal, the doctor workstation and the electronic medical record system according to the risk index level; and the recording and archiving module performs whole-process recording and automatic archiving on the alarm response process.

The invention discloses a rehabilitation nursing management system, and particularly relates to the technical field of medical rehabilitation, and the system comprises a patient intelligent evaluation module which is used for comprehensively evaluating the physiological, psychological and motor function states of a patient through multi-dimensional data collection and intelligent analysis. Physiological, psychological and motion function data of a patient are collected in a multi-dimensional mode through the patient intelligent evaluation module, rehabilitation requirements are predicted based on the data, the personalized rehabilitation plan module formulates a personalized rehabilitation plan according to an evaluation result, immersion rehabilitation guidance is provided through a virtual rehabilitation coach and AR auxiliary training, and the rehabilitation effect is improved. Meanwhile, the training intensity and effect are dynamically optimized, real-time monitoring and risk early warning are achieved through a remote and cooperation module, efficient cooperation among doctors, patients and family members is ensured, the rehabilitation progress is continuously recorded and analyzed through a data driving optimization module, optimization suggestions are provided for the doctors, rehabilitation knowledge is continuously accumulated and updated, and therefore the rehabilitation effect is comprehensively improved; and the safety and effectiveness of training are ensured.

The invention discloses an elderly nursing management optimization system based on artificial intelligence. The elderly nursing management optimization system comprises a nursing data management module, a nursing plan enhancement module, a behavior health guidance module, a psychological health nursing module and an elderly nursing optimization module. The invention belongs to the technical field of old-age nursing optimization, and particularly relates to an artificial intelligence-based old-age nursing management optimization system, which adopts a reinforcement learning method combined with a multi-task deep neural network to enhance nursing plans, and performs time sequence modeling through innovative shared feature learning and emotional state. Efficient information sharing among a plurality of tasks (health assessment, chronic disease management and the like) and mutual optimization among the tasks are realized; performing behavior health guidance by adopting a bidirectional long-short-term memory neural network combining time sequence convolution and an improved support vector classifier; and generating an optimization network by adopting an emotion dynamic modeling strategy, and carrying out psychological health care.

The invention discloses a digital inpatient area intelligent monitoring and nursing management method and system, and relates to the technical field of monitoring and nursing, and the method comprises the steps: predicting first, second and third new sign prediction information according to an obtained target monitoring item, correspondingly carrying out the statistics of first, second and third new change comprehensive amplitudes, and carrying out the calculation of the first, second and third new sign prediction information; performing zero, rising and falling state judgment on the first, second and third new change comprehensive amplitudes, and performing association path integration on several kinds of abnormal new sign prediction information in a first sign monitoring abnormal result according to the first sign monitoring abnormal result to obtain first pre-processed sign information 1; and performing statistics on the preprocessing change comprehensive amplitude and the reference change comprehensive amplitude, judging whether the preprocessing change comprehensive amplitude and the reference change comprehensive amplitude are the same or not so as to perform targeted nursing on the target patient, and outputting a sign monitoring nursing management result. According to the digital inpatient area intelligent monitoring nursing management method and system, the nursing work efficiency can be improved.

The invention belongs to the technical field of nursing management, and particularly relates to a remote nursing management method and system based on data analysis, which can make up for the defects of the prior art by integrating multi-dimensional nursing data, carrying out deep intelligent analysis and realizing accurate early warning and dynamic scheme adjustment based on comprehensive evaluation, quantify intraday blood pressure fluctuation and improve the nursing efficiency. According to the method, the deviation between the actual blood pressure and the target value is fused, symptom feeling risk calculation is introduced, subjective symptoms are objectively and quantitatively processed, health risks caused by symptom combinations or key symptoms can be effectively recognized, and the accuracy of the health risk is improved. Through multi-dimensional data fusion, innovative risk assessment, a comprehensive effect scoring mechanism and an intelligent closed-loop management process, the defects of fragmentation, one-sided and static states of an existing remote nursing technology are effectively overcome; a more comprehensive, more intelligent and more accurate remote nursing management solution is provided for chronic disease patients, especially crowds needing long-term management such as hypertension.

The utility model belongs to the technical field of nursing management, particularly relates to an article placing frame for nursing management, and aims to solve the problems that articles in a placing table are inconvenient to store in a partitioned manner and inconvenient to limit in the using process of an existing placing frame, and then the articles are bumped and scattered in the moving process. The device comprises a bottom plate; the vertical plate is fixedly mounted at the top of the bottom plate, a push handle is fixedly mounted on one side of the vertical plate, and four universal wheels are rotatably mounted at the bottom of the bottom plate; the protective cover is installed at the top of the bottom plate in a sliding mode, a handle is fixedly installed on one side of the protective cover, and a fixing plate is fixedly installed on the inner wall of one side of the protective cover. Therefore, bumping and scattering in the moving process can be effectively avoided, the structure is simple, and use is convenient.

The invention discloses a traditional Chinese and western medicine cooperative emotion nursing management system and a physiotherapy robot applying the same, and aims to solve the technical problems in the aspects of traditional Chinese and western medicine theory deep cooperation and dynamic personalized nursing in the prior art. The system is realized through the following steps: collecting physiological, behavior, traditional Chinese medicine and other multi-modal data of a user, and constructing a unified traditional Chinese and western medicine cooperative emotional state vector; reasoning by using a traditional Chinese and western medicine fusion knowledge graph to generate an interpretable traditional Chinese medicine macroscopic treatment target; a double-layer hierarchical reinforcement learning model is adopted for decision making, a macroscopic intervention combination is generated through a high-layer strategy, and an accurate robot control instruction containing emotional tactile parameters is generated through a low-layer strategy; and finally, driving the physiotherapy robot to execute the instruction, and continuously optimizing the strategy through closed-loop feedback. According to the method, the artificial intelligence decision theory and the traditional Chinese medicine syndrome differentiation treatment thought are combined, and an automatic and emotional traditional Chinese and western medicine cooperative nursing solution is provided for mood-related functional disorders.