47 results about "Elderly health" patented technology

The invention relates to the technical field of health management of old people, and discloses a method and a system for predicting multiple diseases of old people. The method comprises the following steps: acquiring multi-modal health monitoring data of a target old person in a preset time period, wherein the multi-modal health monitoring data comprises physiological index time sequence data, a medication record sequence and a daily activity ability evaluation result; and performing cross-modal correlation analysis on the multi-modal health monitoring data to generate a disease interaction characteristic matrix containing metabolic disease correlation degree, circulatory system disease coordination index and neurodegenerative disease progress rate. And performing hierarchical clustering processing on the feature matrix by adopting a dynamic weight distribution algorithm, and outputting potential common disease combinations of the target old people and a priority score of each common disease combination. And generating a personalized intervention strategy set including a drug interaction avoidance scheme, a rehabilitation training intensity adjustment scheme and a nutrition intake ratio scheme according to the priority score.

The invention relates to the technical field of intelligent medical monitoring, in particular to a personalized health monitoring and early warning system for elderly people living alone fused with multi-dimensional data, and the system comprises a data collection and preprocessing module which collects multi-dimensional physiological parameter signals of a user and converts the multi-dimensional physiological parameter signals into multi-dimensional medical features; the health prediction module performs health category prediction on the multi-dimensional medical features of the current time node based on a pre-trained deep learning model, generates a data graph under each time node, and stores the data graph and a corresponding health category prediction result in a specified directory; the early warning module analyzes whether the multi-dimensional physiological parameter signals under each time node are abnormal or not in a mode of combining a hard threshold value and a soft threshold value, and if yes, an alarm is given out; and the abnormity output module calls and outputs the data maps of the preset duration before and after the abnormity alarm time node and the corresponding health categories. According to the invention, personalized monitoring and risk early warning of the health state of the elderly can be realized more accurately from multiple dimensions.

The application discloses a kind of wisdom old-age service platform based on big data of thing association, belong to the technical field of Internet of Things old-age, specifically include: voice instruction acquisition module, for real-time acquisition old man and the interactive voice data of smart home equipment;Voice feature extraction module is used to carry out feature separation processing to the original voice data collected, extracts quantized instruction index;Baseline model construction module is used to establish the voice health baseline model based on user characteristics, generates personalized voice index reference interval according to old man historical voice data;Voice instruction comparison module is used to dynamically compare real-time instruction index with baseline model, generate voice health deviation curve, when curve fluctuation exceeds preset morphological characteristics, trigger early warning;Interaction mode adjustment module is used to adjust the interaction mode of smart home equipment according to the voice health deviation;The application realizes the health of old man by voice index change judgment and improves the quality of smart home service.

The invention provides an information recommendation method and system based on artificial intelligence, and belongs to the technical field of information recommendation. Comprising the steps of 1, constructing a first data set; 2, constructing a second data set; step 3, based on the first data set, constructing a health knowledge preference coefficient of the ith old person; 4, constructing a health behavior adaptation coefficient and a participation depth coefficient of the ith old person based on the second data set; and step 5, associating the ith old people health knowledge preference coefficient with the ith old people health behavior adaptation coefficient and the participation depth coefficient, constructing a comprehensive health participation index, and performing evaluation and optimization. Through data analysis in which online health knowledge and offline medical lectures are combined, the health behavior tendency of the elderly user can be evaluated more accurately, and the optimized recommendation can help the user to obtain appropriate health knowledge.

The invention relates to the technical field of health risk assessment, and discloses an elderly health risk assessment method and system, and the method comprises the steps: collecting physiological parameter data and body function data of an elderly, and determining an initial health risk assessment value of the elderly; judging whether to adjust the initial health risk assessment value or not according to a comparison result of the collected real-time health data and a preset health threshold range; if yes, calculating a deviation value between the real-time health data and a preset health threshold range, and determining a final health risk assessment value according to the deviation value; according to a comparison result of the final health risk assessment value and a preset health risk range, judging whether potential risk analysis needs to be carried out or not; and if so, collecting psychological state data of the elderly to determine a potential risk value, and determining a health risk level according to a sum result of the potential risk value and the final health risk assessment value. Through multi-dimensional data integration, dynamic assessment adjustment and hierarchical risk analysis, systematic assessment of the health risk of the elderly is realized.

This invention relates to the field of data security processing technology, specifically to a method and system for protecting and sharing the privacy of health data of the elderly. The method includes the following steps: collecting heart rate and blood pressure sequences and constructing a timestamp dimension matrix; calculating perturbation mask coefficients and converting the timestamp dimension matrix into a desensitized physiological vector; receiving institutional query requests and extracting feature hash codes; using the feature hash codes to perform homomorphic encryption operations on the desensitized physiological vector to obtain a closed-state comparison index; and outputting the shared analysis results when the closed-state comparison index meets a security threshold. In this invention, by generating desensitized physiological vectors through differential perturbation mapping of high-frequency dynamic temporal physiological features, the strong binding storage risk between vital signs and identity identifiers in the global static encryption mechanism is broken. Simultaneously, homomorphic encryption operations are used to perform fine-grained logical comparisons in the encrypted state, avoiding the security risk of the querying party directly reading the complete plaintext record under the fixed password verification mode.

1. The name of the design product: old health monitoring bracelet. 2. The use of the design product: the design product is used for monitoring the sleep, heart rate and health status of the old people. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The invention discloses multifunctional health monitoring terminal equipment for rural old people, and relates to the field of intelligent medical equipment. The equipment integrates an identity recognition module, a health detection module, an emergency rescue module, a man-machine interaction module and a data processing module, a terminal shell forms a top plate and an operation panel, and emergency equipment is arranged in a cabinet body and controlled to be opened through an electric lock; after the card reader reads the identity card information, a cloud health file is matched and associated through an algorithm; the health detection module adopts a three-in-one sensor array to synchronously collect electrocardio, blood oxygen and blood pressure signals and is matched with voice guidance to complete detection; the data processing module can judge data abnormity and trigger three-level early warning, low-bandwidth remote inquiry and report printing / cloud storage are supported, the problems that rural elderly health monitoring is difficult to operate and slow in first-aid response are solved, the rural grassroots medical service efficiency is improved through the aging-suitable design and the integrated function, and the system is suitable for popularization and application. And the use requirements of village-level health rooms and other scenes are met.

The invention discloses a home-based care health assessment dynamic service orchestration method and system based on a large language model, and the method comprises the steps: (1) receiving a natural language health assessment request inputted by a user, and generating a structured task description tetrad through a large language model; (2) the task description tetrad is combined with a Prompt template to be input into a large language model, and an abstract evaluation plan is generated; (3) finding out a candidate service list meeting conditions in the service semantic knowledge base according to the service type required by each step in the abstract evaluation plan, and dynamically binding each step to an optimal main agent service provider and an optimal standby agent service provider; (4) deeply participating in an agent cooperation mechanism through a large language model; and (5) converting the bound task assembly line into a standard BPMN workflow, and driving an intelligent agent to orderly execute services through a workflow engine. According to the invention, the big language model is deeply integrated into the whole process of agent collaboration, and real dynamic intelligent service orchestration is realized.

1. The name of the design product: the graphical user interface of the health application for the elderly of the electronic device. 2. The use of the design product: for an electronic device. 3. The design points of the design product: the graphical user interface content displayed on the screen. 4. The picture or photo that best indicates the design points: interface change state diagram 1. 5. The design product is a flat product, and the rear view, left view, right view, top view, and bottom view are omitted. 6. The use of the graphical user interface: to display health data for the elderly and to display a health manual for the elderly. The front view is the main interface of the home-based elderly audio system. Clicking on the "health application" of the front view pair enters interface change state diagram 1. After swiping interface change state diagram 1 to the left, enter interface change state diagram 2.

The device comprises an exercise mechanism, the exercise mechanism comprises a seat and a movable part, the movable part is arranged at the bottom of the seat, a first assembly groove is formed in the lower end of the seat, a leg moving part is rotatably inserted into the first assembly groove, a fixing block is fixedly connected to the interior of the first assembly groove, and the leg moving part is fixedly connected to the lower end of the first assembly groove. A plurality of transmission rods are movably inserted into the outer side of the seat; when a user sits on a seat, a first pressing rod piece and a second pressing rod piece are pressed to move downwards and abut against the ground, so that the possibility that the position of the device moves in the using process is reduced, and the first pressing rod piece conveniently drives a first anti-inclination piece to move to prevent the movable part from inclining leftwards and rightwards; and meanwhile, a second pressing rod piece is used for conveniently driving a second anti-tilting piece to deflect and preventing the movable part from tilting forwards and backwards, so that the possibility of tilting when the device is used is conveniently reduced, and the possibility that a user is injured when using the device is reduced.

The invention belongs to the technical field of artificial intelligence, and relates to a data processing method and device, computer equipment and a storage medium, and the method comprises the steps: collecting multi-modal data of a target old person from a plurality of pieces of equipment; fusing the multi-modal data to obtain target data; performing prediction processing on the target data based on the demand prediction model to obtain a demand prediction result; performing quantification processing on the demand prediction result based on the knowledge graph to obtain demand emergency degree information; calculating reachability data of a plurality of pre-screened candidate nursing workers; determining a target nursing worker from all the candidate nursing workers based on the demand emergency degree information and the reachability data; and distributing a service task corresponding to the demand prediction result of the target old person to the target nursing worker. In addition, the invention also relates to a block chain technology, and the demand prediction result can be stored in a block chain. The method can be applied to a home-based care health management scene in the field of medical science and technology, the accuracy of demand prediction is improved, and the distribution intelligence of service resources is improved.

The invention provides a community old-age care chronic disease management interaction method and system fusing local medical propaganda knowledge, and the method comprises the steps: carrying out the statistics of basic sign data corresponding to each chronic disease patient in a community range, and determining the chronic disease development trend of the community range, according to medical conditions of a local hospital and local conditions of a community range, constructing propaganda knowledge corresponding to each chronic disease category, transmitting the propaganda knowledge to a community terminal for display, according to the propaganda knowledge and basic sign data corresponding to each chronic disease patient, constructing a health maintenance scheme of each chronic disease patient, and transmitting the health maintenance scheme to the community terminal for display. According to the method, health questions uploaded by chronic disease patients are obtained, corresponding health maintenance schemes are uploaded to big data to generate intelligent replies and are transmitted to a community terminal for display, local medical conditions and local environmental conditions are integrated into chronic disease propaganda, old people are helped to manage their bodies in daily life, and the health management efficiency is improved. The harm of chronic diseases to the health of old people is effectively relieved.

This invention relates to the field of wearable medical device technology, specifically to a flexible wristband for health monitoring of the elderly integrating multiple sensors. It includes a smartwatch body with four symmetrically arranged grooves on the bottom. Each groove has a first electromagnetic plate installed on its inner top wall, and a column is fixedly connected to the bottom of the first electromagnetic plate. A sleeve is fitted onto the outer wall of the column. The integrated blood glucose monitoring microneedle module of this invention uses a micron-level painless needle that can painlessly penetrate the stratum corneum to obtain interstitial fluid. Combined with multimodal analysis technology, the measurement accuracy reaches medical grade, solving the problem of insufficient accuracy in traditional non-invasive devices while avoiding the discomfort of invasive blood collection. This results in high compliance among the elderly. It integrates multiple monitoring functions such as blood glucose, blood pressure, heart rate, blood oxygen, arterial stiffness, and fall detection, achieving full coverage of chronic disease management and health risk warning. It eliminates the need to wear multiple devices, meeting the needs of the elderly for joint prevention and control of multiple diseases.

This invention discloses a method and system for credibility analysis of home-based elderly care health summaries based on electronic photo frames, relating to the field of multi-source data fusion technology. This invention retrieves health records and knowledge bases based on event objects to generate display requirement objects; generates health summary text and a set of interactive controls according to the display requirements, forming a display payload; generates a display queue based on device status and determines the content to be pushed; loads and renders a template to complete the display; collects touch and voice behaviors within the interactive window, generates a unified interaction record, and reports any non-response; extracts features from touch, voice, and physiological signals, calculates signal quality scores, and generates a comprehensive confirmation confidence level; summarizes the signal quality scores, calculates the global mean, compares it with a threshold, and determines whether to execute a correction process, significantly improving the security, reliability, and user experience of the home-based elderly care health summary system.

The invention discloses mechanical wearable equipment and a big data analysis system for monitoring psychological states of old people, and belongs to the technical field of health of the old people. A mechanical wearable device and big data analysis system for monitoring the psychological state of the elderly comprises a device shell, a fitting block is arranged at the rear end of the device shell, the upper end and the lower end of the fitting block are each provided with a rear mounting groove sunken in the device shell, and a movable hole is formed in each rear mounting groove. The problems that in the actual wearing process of existing wearable equipment, the skin is tightly attached to the wearable equipment for a long time, and the skin surface is pruritus and discomfort are caused are solved, a motor drives a transmission roller to rotate, spirally-distributed extrusion rollers are driven to periodically protrude out and extrude cloth, accordingly, an attaching block is wholly lifted away from the skin, and the cloth is tightly attached to the surface of the wearable equipment. The active lifting structure is especially suitable for the elderly needing long-time continuous monitoring while guaranteeing the gap of normal detection of the position of the attaching block.

The invention discloses a bionic intelligent pet robot with a multi-mode emotion interaction capability. A carbon fiber composite skeleton-medical silica gel skin-bionic hair three-layer bionic structure is adopted, and a 16-degree-of-freedom bionic movement system and a terminal cloud collaborative emotion calculation framework are matched, so that the intelligent partner with real touch feeling, flexible posture and deep emotion interaction capability is realized. The system mainly comprises a carbon fiber composite skeleton having 16 degrees of freedom and a three-section flexible spine; the medical silica gel constant-temperature skin is connected through split type magnetic attraction, and the constant temperature of 36-38 DEG C is achieved; the modified acrylic fiber bionic hair is implanted by adopting gradient density; the multi-mode perception system realizes full coverage of visual sense, auditory sense and tactile sense; the emotion calculation engine is used for realizing emotion interaction based on a state machine and personalized memory; and a cat nest type automatic charging seat. The technical defects that an existing pet robot is cold in touch feeling, stiff in movement and shallow in interaction are overcome, and the intelligent pet robot is applied to family emotion accompanying, old people health care and children education auxiliary scenes.

The long-distance monitoring bracelet comprises a first watchband and a second watchband, and is characterized in that a dial plate is arranged at one end of each of the first watchband and the second watchband, and a detection structure for monitoring health data of old people is arranged at the top end of each dial plate; the side wall of the dial plate is provided with a replacement structure used for dismounting and fixing the watchbands, the replacement structure is an adjustable fixing structure for the dial plate and is also an adjustable fixing structure for one ends of the two watchbands, the dial plate can be adjusted, fixed, replaced, dismounted and mounted and is suitable for multiple sizes, and the watchbands can be adjusted, fixed, replaced, dismounted and mounted at the same time. The two-component fixing and two-way adjusting device is simple in structure, convenient to use, capable of effectively preventing the old from forgetting to wear and convenient to use.

The invention relates to the technical field of medical health assessment, in particular to a comprehensive health assessment system for old people. Comprising a health data acquisition module, a disease diagnosis module, an elderly disease risk assessment model, a multi-disease coexistence reasoning module, a drug conflict early warning module and personalized intervention scheme generation. Wherein the health data acquisition module is used for acquiring multi-dimensional health data of old people; the disease diagnosis module is used for performing disease diagnosis and evaluation on the collected health data; the senile disease risk assessment model is used for performing six-dimension automatic assessment according to the collected health data; the multi-disease coexistence reasoning module is used for performing multi-disease coexistence reasoning on old people; the drug conflict early warning module is used for analyzing drug conflicts under the condition of multiple diseases; the personalized intervention scheme generation is used for generating a personalized intervention scheme, so that the accurate recognition and efficient processing capability of complex conditions of multi-disease coexistence and drug interaction of the old people can be improved, and diagnosis and treatment conflicts and drug interaction risks are effectively avoided.

The present application relates to a kind of community old people health management system and method based on metabolic equivalent, through the comprehensive collection of multidimensional health data, and the processing of multi-source heterogeneous time series data, construct health database;Then adopt mixed effect model and gradient boosting decision tree model, with metabolic equivalent as core quantitative index, extract individual random effect as personalized correction factor by mixed effect model, output personalized metabolic equivalent prediction value combined with gradient boosting decision tree model, solve the problem of existing technology evaluation standard missing, group evaluation one-size-fits-all;Then through time domain, frequency domain, nonlinear feature extraction, the motion load characteristics are fully described, and the association between motion load and health risk is accurately captured by Transformer-LSTM hybrid network, which significantly improves the prediction accuracy of cardiovascular events and fall risk;Finally, through the collaborative optimization model of multi-agent reinforcement learning, dynamically generate and optimize multi-dimensional exercise programs according to the real-time health status of the user.

This invention discloses a method and system for intelligent scheduling of elderly care service resources based on multi-dimensional profiling, belonging to the field of intelligent scheduling technology for elderly care service resources. The method includes the following steps: integrating elderly health records, wearable data, behavioral habits, and care plans to generate dynamically updated multi-dimensional personal profiles; synchronizing the digitalization of caregiver skills, locations, schedules, and equipment resources; developing care plans for the elderly, selecting 3-5 caregivers with matching skills and geographical proximity from a resource pool according to the complexity of care to form a dedicated service team, and designating a lead caregiver; simultaneously, determining the number of elderly people the lead caregiver can also assist with based on the level of care complexity. This invention, through the combination of multi-dimensional profiling, lead / assistant matching, risk prediction, path optimization, and dynamic scheduling, achieves precise allocation and efficient scheduling of elderly care service resources, balancing care efficiency and human warmth, improving service continuity, safety, and satisfaction, and promoting the intelligent, refined, and humanized development of elderly care.

The application discloses a kind of non-contact old health monitoring system and method based on multi-source information, it is related to old health monitoring technical field, including: real-time capture video data and radar data, call the monitoring picture of camera, monitoring picture is converted into gray scale chart, and real-time capture the position where old people are, set current monitoring mode;According to the real-time illumination intensity of current residence, set the weight of video branch and radar branch;Real-time acquisition video data and radar data, according to monitoring mode and the weight of each branch, judge the abnormal state of old people;Abnormal state is sent to relevant guardian and carries out early warning prompt, start processing state monitoring timer, upgrade warning intensity and early warning again.The application is judged whether old people exist abnormal by combining camera and radar multi-source data, is helpful to meet the health and safety monitoring needs of old people in different states, reduce the problem of monitoring blind area and monitoring precision deficiency.

The invention discloses a federal optimization method and device for old-age care health, equipment and a medium, and relates to the field of artificial intelligence and medical health. The method comprises the following steps: receiving and loading a personalized model segmentation instruction and a lightweight parameter efficient fine tuning adapter issued by a cloud; performing partial model forward calculation by using local health data and performing fine tuning on the adapter; performing change detection and multi-stage compression on the generated intermediate activation value; differential privacy noise is injected into the compressed data and the adapter parameters, and homomorphic encryption is carried out; and uploading the encrypted update to the cloud, and receiving the globally aggregated parameters to complete synchronization. According to the method, on the premise of ensuring the privacy security of the health data of the elderly, the calculation load and communication overhead of the edge side are remarkably reduced, so that the old-age care institutions with limited resources can efficiently and safely participate in federated learning, and a high-performance health monitoring model is jointly constructed.

The invention relates to the technical field of health and safety protection for old people, in particular to a safety protection system for old people and a protection method thereof.The system comprises a main control module with an STM32 single-chip microcomputer as the core, and a multi-mode sensing module, a local alarm module, a communication module and a power management module which are connected with the main control module; the protection method comprises the following steps: acquiring data through a millimeter-wave radar, an infrared pyroelectric sensor and an environment sensor, performing feature extraction and dual-condition judgment by using a locally processed fall detection algorithm, and performing multi-sensor information fusion decision through a state machine. And finally, when the danger is confirmed, a multi-level alarm mechanism including local sound-light alarm, remote notification and platform linkage is started. The method realizes non-inductive and active 24-hour protection, effectively solves the problems of high false alarm rate, dependence on the network, privacy invasion and the like in the prior art, and has the advantages of high reliability, high accuracy and strong privacy protection.

The application discloses a health monitoring platform based on CCRC and application thereof and belongs to the technical field of health monitoring, comprising a data acquisition module, which is used for collecting the basic information of the users of the monitoring platform at regular intervals according to the user information recorded by the platform; and a monitoring item recommendation module, which is used for establishing the detection items of the health monitoring data based on the personal preferences of the users of the platform to update the health information. In the application, after the basic information of the users of the platform is collected in real time by the data acquisition module, the health of the users can be monitored based on the user information, the information to be monitored by the users can be pushed based on the personal information and the collected user preference data, the health monitoring plan can be established according to the conditions and preferences of the users, the quality of the pension service is improved, the accurate monitoring of the health of the old people can be realized, and the cost of manpower and material resources is reduced.

The application discloses a kind of wisdom old-age health diet guidance system, comprising: for through multi-device cooperation collection old person's full-dimension health data, and the multi-source data acquisition module of the data collected is preprocessed;For using the multi-source health data of preprocessed diet demand analysis module is analyzed old person's dietary needs;For the individualized recipe generation module of old person's dietary needs input using pre-trained recipe generation model, generate personalized recipe in line with the needs of old people;For real-time data feedback, dynamically optimize the recipe optimization adjustment module of the personalized recipe.Its remarkable effect is: the overall perception of the health status of old people, accurate positioning of dietary needs, intelligent generation of personalized recipes, dynamic optimization of the scheme and convenient guidance output can be realized, which can solve the problem of one-sidedness, poor adaptability and insufficient dynamics of existing system data.

This invention relates to the field of data protection technology, specifically to a method and system for secure transmission of elderly health privacy data. It solves the technical problem that applying a uniform protection strategy to all health data makes it difficult to achieve an ideal balance between ensuring privacy and maintaining data availability. The method includes: acquiring multiple health monitoring parameters of the target object during the data transmission period; determining the transmission impact degree of the target health monitoring parameters based on the data volume variation characteristics of the target health monitoring parameters during the data transmission period and the privacy weight coefficient of the target health monitoring parameters; determining the noise addition intensity based on the difference between the transmission impact degree and the reference impact degree; and performing noise processing on the data to be transmitted of the target health monitoring parameters based on the noise addition intensity. This invention is used in scenarios involving secure transmission of elderly health privacy data.

The application discloses an old person emotional accompanying and health management large model for fusing child voice synthesis, and relates to the technical field of intelligent old people care and emotional accompanying. The system continuously collects physiological data such as blood pressure, heart rate and pulse transit time of the old person, calculates the deviation degree of each physiological characteristic parameter and combines the deviation degree into a physiological deviation vector; converts the deviation degree into an objective condition description text, generates a care feeling description text from the child's perspective by using a lightweight language model; analyzes the emotional tone and concern degree score from the text, and maps to generate voice emotional control parameters containing speech speed factors and fundamental frequency offset; after the dialogue is triggered, the child character reply text, the child voiceprint embedding vector and the voice emotional control parameters are input into the voice synthesis engine, and the child digital avatar voice suitable for the real-time physical condition of the old person is output. The application synchronizes the emotional expression of the child voice with the health condition of the old person, and improves the realism and empathy effect of the digital avatar accompanying.

The invention relates to the technical field of community old-age care, and discloses an intelligent community old-age care service management system, which comprises a data acquisition and processing module, a modeling and analysis module, a medical care service scheduling module and a learning and optimization module. Through fusion application of technologies such as double models, edge-cloud collaboration and federated learning, full-process elements of intelligent old-age care services can be comprehensively covered, single links of medical treatment, maintenance and life services are concerned, dimensions such as health, behaviors and privacy protection of the old are also included, accurate prediction and personalized customization of the services are deeply realized, and the service quality is improved. The old-age service is upgraded from passive response to active full-period management, and better old-age experience is provided for the old and family members thereof.

1. Name of the product in this design: Graphical User Interface for Elderly Care and Health Management in Electronic Devices. 2. Intended use of this design: for use in an electronic device. 3. The key design features of this product are the graphical user interface content displayed on the screen. 4. The image or photograph that best illustrates the design's key features: the front view. 5. This design is a two-dimensional product, and the rear view, left view, right view, top view, and bottom view are omitted. 6. Purpose of the graphical user interface: To display the management matters of the intelligent elderly care and health management system in real time. The main view is the main interface of the elderly health manager. After swiping left on the main view, you will enter the interface change state diagram 1. After swiping left on the interface change state diagram 1, you will enter the interface change state diagram 2.