94 results about "Nursing management" patented technology

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 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 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 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.

The application discloses a kind of management methods and systems to cope with nursing rehabilitation service, it is related to nursing management technical field;The method includes the steps of: collecting and maintaining the personal information of all users;Regular health assessment is carried out to target user, and obtains rehabilitation state data set;Its technical points are: the daily nursing time length fine tuning operation when the nursing level has reached the limit is constructed, and the ideal range deviation degree of Barthel index, PEI value and body state evaluation value is introduced therein, so that the overall scheme can flexibly adjust the nursing time length under the premise that the nursing level is unchanged or cannot continue to adjust, to adapt to the rehabilitation trend change, on the one hand, individualized nursing resource allocation is realized according to functional state difference, while maintaining the stability of nursing level, enhance service flexibility, on the other hand, avoid the nursing disjointedness phenomenon caused by level limit, complete the optimization management operation of nursing operation.

The present application relates to the technical field of Internet of Things, and particularly relates to an intelligent clinical nursing management and control method and system based on Internet of Things, which comprises the following steps: collecting multi-source data in a clinical nursing environment, and completing timestamp alignment and data encapsulation through an Internet of Things gateway to form multi-source data; after data cleaning, HL7 FHIR format unification and mapping based on an OMOP model, standard nursing data is generated; based on the standard nursing data, a pre-trained LSTM-Autoencoder-based time series anomaly detection model is used to identify collaborative anomaly patterns, and a risk assessment module combining a logistic regression classifier and a gradient boosting decision tree is used to generate a risk level and an occurrence probability; the system generates nursing early warning information and automatically generates nursing management and control instructions according to early warning rule templates, and sends the instructions to nursing equipment or nursing staff terminals through an MQTT network. The present application realizes intelligent clinical nursing management and control, and significantly improves the timeliness, accuracy and intelligent level of clinical nursing.

The invention discloses an intelligent monitoring and tracing system for intravenous medication allocation nursing quality, and relates to the technical field of intelligent nursing management, and the system comprises a time anchoring module, a conflict sensing module, a number fusing module, a dual-factor code forming module and an entropy gate regulation and control module. The time anchoring module is used for constructing a unified time anchoring chain and establishing a number pool monitoring system; and recording traceability code generation request frequency and request node distribution in a time slice corresponding to the unified time anchoring chain, and generating a high-concurrency interval list according to a recording result. Dynamic hierarchical management of traceability code generation is realized through time anchoring and a conflict perception mechanism, a high-concurrency area is identified in advance, dispersed scheduling is carried out, and code uniqueness and traceability chain continuity are ensured. In combination with serial number fusing, two-factor coding and entropy gate regulation and control mechanisms, cross-node non-repeated coding and adaptive load adjustment are realized, the collision risk is reduced, and the safety and stability of medication tracing are improved.

This item is a care management sheet designed to organize the user's medical and treatment history and ensure they receive appropriate care in nursing and medical settings. As shown in the front diagram illustrating the use of this item, the right half of the item contains sections for the user's specific information, emergency contact information, a visual representation of their treatment history, allergy information regarding food and drugs, regular medication information, other precautions, information on care management-related organizations, and the name of the issuing organization. The left half of the item also contains sections for the user's specific information, emergency contact information, medical and treatment history, regular medication information, information on care management-related organizations, and the name of the issuing organization.

The invention relates to an infectious tophus ulcer wound nursing scheme assessment method and system, and the method comprises the steps: collecting the standardized electronic medical record data of a patient through a medical information system, including demostatistics, wound characteristics, laboratory inspection index sequences and nursing records; after structured processing, timestamp unification and missing value filling are conducted on the data, the data are input into a pre-trained deep learning model, expected wound healing probabilities, predicted healing time and complication risk scores corresponding to different nursing schemes are output, then a comprehensive assessment report is generated, the report is stored in a database, and a visual query interface is provided. And meanwhile, collecting actual nursing result data for continuous optimization and updating of the model. According to the invention, quantitative evaluation and prediction of the nursing scheme are realized, clinical decision making is effectively assisted, and the accuracy of nursing management and the resource utilization efficiency are improved.

The application discloses a rural elderly mild cognitive impairment risk prediction and stratified nursing management auxiliary system and method, and belongs to the technical field of intelligent nursing and mobile health auxiliary screening. The system comprises an application path selection module, a data acquisition module, a data preprocessing module, a nursing evaluation and scale automatic scoring module, a risk prediction module, a risk stratification module, an explanation output module, a nursing suggestion generation module and a mobile terminal display module. Through the rapid screening version, simple variables are collected; through the standard evaluation version, GDS-15, IADL, PSQI, SSRS and other scale items are embedded and automatically scored; a pre-trained machine learning model is called to output MCI risk prediction probability, low, medium and high risks are divided, and corresponding reevaluation frequency and stratified nursing management suggestions are generated. The application can display the results through a webpage calculator or a WeChat applet, is used for primary screening assistance and risk communication, and does not replace clinical diagnosis.

This invention relates to the field of urine glucose monitoring technology, and more particularly to a method and system for monitoring urine glucose data from adult diapers. The method first interacts with a nursing management system to obtain daily care milestones for the patient, and connects to a wearable terminal to generate a visual monitoring interface. Secondly, at preset milestones, multiple sensors integrated into the inner layer of the diaper collect data, combining health parameters to identify abnormalities and predict the level of blood glucose abnormalities. Subsequently, based on historical data from multiple milestones, a blood glucose fluctuation trend curve is generated on the interface. Finally, a personalized intervention plan is formulated based on the abnormality level and the trend curve, implementing targeted nursing care. This invention achieves non-invasive continuous monitoring through multi-source signal fusion to combat interference; it possesses the ability to predict blood glucose trends, transforming passive alarms into proactive prevention; and through a visual interface and intelligent decision-making closed loop, it significantly improves the accuracy, efficiency, and comfort of nursing care for diabetic patients.

The invention belongs to the technical field of patient nursing layered management, and provides a patient nursing layered intelligent management system based on drainage liquid data, which comprises the steps of performing real-time continuous monitoring on the drainage liquid data of a postoperative patient, establishing a drainage liquid amount prediction model, and taking the monitored drainage liquid data as input, outputting a drainage liquid amount predicted value in a future preset time period; performing drainage liquid trend analysis on the drainage liquid amount predicted value in the future preset time period, and judging whether the drainage liquid amount in the future preset time period shows a descending trend or not; targeted monitoring, evaluation and intervention schemes are provided for patients with different risk levels, the distribution efficiency of nursing resources is optimized, limited resources are preferentially inclined to high-risk patients, medical staff can be helped to timely discover postoperative abnormal conditions of the patients and take corresponding measures, dynamic optimal configuration of the nursing resources is achieved, and the nursing efficiency is improved. The scientificity and the refinement level of nursing management are improved, and the method has a remarkable management application value.

This invention relates to the field of data processing technology, specifically to an intelligent rehabilitation and nursing management system based on data analysis. The system includes: a motion state acquisition module that acquires raw electromyographic signals and joint torque and angle values; a physiological characteristic analysis module that extracts the median frequency sequence in the frequency domain and constructs an electromyographic fatigue gradient; a motion compensation calculation module that calculates the end-effector driving torque and generates a motion compensation coefficient; and an adaptive control execution module that calculates the resistance increment based on the fatigue gradient and calculates virtual wall parameters to construct a control strategy when the compensation coefficient exceeds the limit. In this invention, by combining frequency domain analysis to construct a fatigue gradient, using a dynamic model to calculate the compensation ratio, adjusting resistance based on the compensation coefficient and fatigue state, and constructing virtual wall constraints, quantitative analysis of physiological characteristics and motion states is achieved. This ensures adaptive matching of the optimal strategy while guaranteeing safety, thereby improving the intelligence and accuracy of training.

The application discloses a kind of chronic infectious disease digital people health management system construction method, it relates to AIDS nursing management technical field.Based on Triangle model, the management classification and characteristics of HIV patients are determined by latent profile and association rule analysis, and it is embedded into applet using agile development;Based on the basic nursing framework, the commonality and difference of patients in different levels are explored Care needs;Through the preliminary construction of AIDS hierarchical case management program by range review and focus group interview, the final draft is formed by revising and improving through written evaluation and field demonstration, and the well-constructed management program is embedded into a digital human interaction platform based on artificial intelligence.The application protects the privacy of patients, alleviates the shortage of medical human resources, meets the growing health needs of HIV patients, improves patient satisfaction and improves the quality of HIV care services.