18 results about "Aging care" patented technology

The present application relates to the technical field of big data management-based wisdom pension, in particular to a wisdom pension comprehensive service platform, comprising a cloud service platform and a pension institution service end, the cloud service platform is used for maintaining the basic information of each pension institution, including creating a new pension institution account, managing the pension institution account list, counting the indicators of the pension institution, receiving pension consultation information and publishing pension demand information based on the pension consultation, the pension institution service end comprises a management end and a nursing end, the management end is used for configuring service items and managing each service item, and is also used for managing the catering service, nursing level, assets and nurse scheduling of the pension institution; the nursing end is used for inquiring the daily shift information and the list of responsible old people, displaying the nursing tasks and recording the execution of the nursing tasks, recording the house inspection and fire patrol conditions; the present application can realize the all-round, efficient and intelligent management of the pension institution.

The application belongs to the technical field of the Internet of Things and old-age health care, and particularly relates to a cognitive impairment chronic disease health management system and method based on the Internet of Things. The method is applied to a smart old-age care scene and comprises the following steps: a data acquisition step, in which an active acquisition and passive acquisition combination is adopted; a data transmission step, in which a 5G, WiFi and LoRa multi-network fusion transmission mode is adopted; an intelligent analysis step, in which a weighted fusion algorithm is adopted to fuse multi-source data and identify cognitive function abnormality features; a grading evaluation step, in which a four-dimensional weighted scoring model is used to calculate grading evaluation; and a grading intervention step, in which corresponding intervention measures are executed according to the grading evaluation result. The application realizes full-process automation of cognitive impairment chronic disease management, improves early screening coverage, delays disease progression, reduces care burden and improves the quality of life of the elderly.

The application belongs to the technical field of computer systems related to old-age care, and in particular to a community mutual aid old-age care system and a mutual aid old-age care method, the community mutual aid old-age care system comprising a community selection module, a quick help module, a mutual aid market module, a my group module, a community contribution list module, an emergency help module, a co-creation space module, a social circle module, an activity calendar module, an auction module, a tea room module, a news information module, a forget age mall module, a message module, and a personal center module, different modules and methods are integrated in the system to realize mutual aid old-age care among the elderly, and timely and efficient help can be provided, and rich function modules suitable for the elderly, such as circles and tea rooms, are provided, which greatly improves the activity level, thereby realizing high-quality, high-efficiency and high-activity community mutual aid old-age care.

This invention discloses a compound scalp anti-aging care composition containing Bifida Ferment Lysate filtrate and its application. The invention employs a targeted fermentation process to prepare an optimized Bifida Ferment Lysate filtrate. By controlling the composition of the fermentation medium and process parameters, the product is enriched with small-molecule active ingredients, making it easier for scalp hair follicles to absorb. Compared to conventional fermentation filtrate, its barrier repair and antioxidant effects are enhanced, and it exhibits stronger compatibility with the scalp environment.

The present application relates to the field of Chinese wisdom pension and old-age care, and discloses a fall early warning method and system for old-age care, which comprises the following modules: an old person individualized baseline modeling and system initialization module, a multi-source synchronous data acquisition and local preprocessing module, a multi-dimensional fall risk feature extraction and quantification module, a two-stage cascaded fall risk grading and pre-judgment module, a graded early warning and multi-linkage joint intervention module, and an event review and model dynamic iteration optimization module; and comprises the following steps: S1, a system initialization and baseline modeling stage; S2, a multi-source data acquisition and preprocessing stage; S3, a multi-dimensional risk feature extraction and quantification stage; S4, a two-stage cascaded risk pre-judgment stage; S5, a graded early warning and joint intervention stage; and S6, an event review and model iteration stage; the present application realizes pre-fall risk pre-judgment and intervention, reserves sufficient risk avoidance time for the old people, and reduces the occurrence probability of fall injuries from the source.

The application relates to an Internet of Things-based intelligent early warning and processing decision method and system for an elderly care device, and relates to the field of the Internet of Things. The technical scheme effectively solves the pain points of a high false alarm rate, difficulty in fusing multi-source heterogeneous data, lag in emergency response decision-making and privacy leakage risk in existing elderly care monitoring, adopts an end-edge-cloud collaborative hierarchical processing architecture, realizes the leap of elderly care services from passive monitoring to active intervention, the edge side can realize real-time physiological signal anomaly detection and feature extraction through an improved LSTM self-encoder, data privacy protection and data dimension reduction are realized, the cloud end utilizes improved D-S evidence theory, effectively fuses multi-type sensor data, solves the sensor conflict and data uncertainty problem, combines EHR data, constructs a dynamic risk assessment model through fuzzy comprehensive evaluation and MDP, realizes graded early warning, and through an NSGA-II multi-objective genetic algorithm, optimizes emergency resource scheduling and nursing task allocation under complex constraints.

The application provides a cancer patient intelligent old-age care decision-making method based on dynamic psychological evaluation, and belongs to the technical field of intelligent decision-making, and comprises the following steps: obtaining direct evaluation replies of a patient evaluation block and analyzing psychological words, obtaining corresponding contradictory intentions through single reply and contradictory analysis of the evaluation block level; then, global contradictory analysis is performed on the evaluation block core word vector to determine a contradictory resolution probability; then, a first resolution direction is determined in combination with a patient behavior and a psychological dependence image, a second resolution direction is determined according to a contradictory intention connection relationship, a modified reply is generated after the resolution direction is fused and the resolution probability is adjusted; finally, a care sub-scheme is generated according to the modified reply, and the comprehensive old-age care scheme is updated and integrated according to an evaluation period, so that the fitting degree and reliability of the care scheme and the actual state of the patient are improved.

The application provides a home-based old-age care service authenticity guarantee method and system based on a whole-process double verification, comprising: collecting multi-dimensional service context parameters in a care scene, generating a dynamic key seed through hash and true random entropy source XOR mixing, and generating a multi-fragment key group in a trusted environment in real time by using a Shamir threshold key fragmentation algorithm, to support living body verification, behavior watermark generation and space-time anchoring respectively, the application realizes deep binding of biological characteristics and space-time data, dynamic key fragmentation multiple security isolation, fragmentation key on-demand life management and hardware-level physical destruction, effectively improving the authenticity, security and risk controllability of care service data.

The utility model relates to a kind of nursing equipment, especially a kind of intelligent old-age care multifunctional nursing equipment, including installation cabinet, mounting plate, rotating plate, mounting block, protective shell, guide rod, slide plate, iron cabinet and announcer etc., mounting plate is connected in installation cabinet inside middle part, rotating plate is rotatably connected in mounting plate front side, the left side of rotating plate rear surface is connected with left and right two mounting blocks, protective shell is placed in two mounting blocks inside, each connection is guided in the left and right sides of protective shell interior two guide rods, slide plate is slidably connected between two guide rods, iron cabinet is connected on slide plate, sixteen chambers for storing medicine are equipped in iron cabinet, announcer is connected in installation cabinet front side. Through the effect of reminding the elderly to take medicine in time by announcer, avoid the situation of missing medicine to cause physical health to be damaged;Monitoring camera can real-time monitoring and identifying abnormal behavior of the elderly, buzzer sends out reminder when the behavior of the elderly is abnormal.

The application relates to the technical field of medical care information science, and discloses an AI-based old-age care system and method, which comprises the following steps: a signal acquisition module acquires physiological signals of an audience; a feature segmentation module extracts physiological feature vectors by using a physiological feature vector library; a topological modeling module constructs a physiological state directed topological structure; a search matching module maps the physiological topological structure into a binary hash search code by using a local sensitive hash function cluster, and matches a reference topological feature in a physiological normal state library to determine a Hamming distance; and a care instruction generation module determines a physiological abnormal state according to the Hamming distance and generates a care decision data packet. In the application, waveform evolution is converted into a topological atlas, and a high-dimensional search mechanism is introduced, so that the false alarm problem caused by physiological parameter dynamic drift is effectively overcome, and the reliability of the identification of hidden recession is improved.

The application discloses a dual-mode adjustable pressure washing lance, comprising a lance body, a quick-release straight-flow / atomizing nozzle, a straight-through flow channel, an integrated rotary pressure regulating and mode switching mechanism, an anti-backflow valve and a multiple sealing structure. The single knob is used to realize continuous water pressure adjustment and water mode switching, and the medical-grade material and anti-slip holding design are used to realize simple operation, stable water outlet and hygiene and safety. The structure effectively solves the problems of single function, uncontrollable water pressure, easy water leakage and complex operation of the existing products, and is suitable for popularization and use in families, old-age care and medical institutions.

This invention relates to the field of public safety resilience assessment technology, and discloses a method, terminal, and medium for cascading failure simulation of elderly care facilities based on hybrid automata. The method divides the infrastructure of elderly care institutions into multiple subsystem components and establishes a unified interface naming system for each subsystem component. It uses open hybrid automata to uniformly model each subsystem component, obtaining corresponding hybrid automata models, forming an overall cross-system coupled model. Under a preset disaster scenario, a multi-timescale adaptive synchronization algorithm based on event density is used to perform discrete-continuous co-simulation of the cross-system coupled model, outputting time-series trajectory data. Based on the time-series trajectory data, a cascading vulnerability directed graph is constructed, and the key failure chains leading to the interruption of core services are identified. This invention can provide quantitative decision support for elderly care institutions to locate weak points and carry out precise reinforcement.

The application provides an old-age care service personalized recommendation method and device, relates to the technical field of service recommendation, and comprises the following steps: obtaining personal portrait information of a target old person, fusing the personal portrait information with an old-age care knowledge graph, and constructing an old person's preferred old-age care knowledge graph; performing multi-round denoising on the old person's preferred old-age care knowledge graph to obtain a target old-age care knowledge graph; based on the target old-age care knowledge graph and old person-care service interaction data, performing joint training through a multi-task learning model to output a final embedding representation of the target old person and a final embedding representation of each candidate old-age care service; calculating the matching degrees between the final embedding representation of the target old person and the final embedding representations of the candidate old-age care services respectively, performing matching degree sorting, and outputting a plurality of old-age care service recommendation results corresponding to the target old person. The application realizes accurate recommendation of old-age care services.

The utility model relates to the technical field of old-age care appliances, disclose a kind of old-age care bed, including bedstead, the bottom of the bedstead is equipped with universal wheel, the top of the bedstead is provided with back guard, hip guard, leg guard and foot guard, the foot guard is rotatably connected in the side of the leg guard away from the hip guard, the bottom of the back guard is equipped with first rotary displacement component, the bottom of the leg guard is equipped with second rotary displacement component, the middle part of the bedstead is equipped with first drive component and second drive component, the first rotary displacement component includes connecting plate one, the connecting plate one is fixedly connected in the bottom of the back guard. In the utility model, by profiled connecting rod one and profiled connecting rod two, when backboard is turned up, it moves outward, avoid extruding abdomen, improve safety and comfort, telescopic rod can be manually adjusted foot when no electricity, use more convenient.

The application discloses an old-age adaptation intelligent home voice interaction and remote monitoring system, belongs to the field of intelligent home and old-age care monitoring, and comprises a perception interaction module, an intelligent judgment module and a remote monitoring module. The perception interaction module is provided with an old-age adaptation voice interaction terminal and distributed multi-modal perception equipment, and completes contactless multi-signal acquisition and old-age adaptation voice interaction; the intelligent judgment module quickly judges an emergency state through an edge computing terminal, a cloud service terminal performs deep fusion analysis and self-learning optimization, a three-level grading early warning mechanism is arranged, corresponding early warning is triggered after voice verification; and the remote monitoring module realizes early warning receiving, state checking and remote linkage. The system only transmits collected signal characteristic values, data transmission is encrypted, and storage is provided with authority management, contactless all-scene old-age adaptation monitoring is realized, judgment accuracy and data security are taken into account, life service and health monitoring integration is achieved, and the system is adapted to home-based old-age care needs.

This invention discloses a scalp anti-aging care composition containing Bifida Ferment Lysate filtrate and its application. The composition comprises Bifida Ferment Lysate filtrate as the active core and a scalp-compatible carrier. The Bifida Ferment Lysate filtrate is prepared through a specific fermentation process and is rich in nourishing and repairing ingredients such as small-molecule amino acids, vitamins, and polysaccharides. This composition is particularly suitable for improving scalp microecology, soothing scalp sensitivity, strengthening the scalp barrier function, and reducing scalp damage caused by environmental stress. This composition can be used to formulate scalp serums, pre-wash conditioning oils, shampoos, scalp massage creams, and other products, effectively improving scalp health and providing a favorable environment for hair growth.

The application relates to the technical field of robots, and discloses a foldable robot for old-age service, which comprises a trunk structure, the outer wall of the trunk structure is provided with an arm assembly, the bottom of the trunk structure is provided with a waist assembly, the outer wall of the waist assembly is provided with a leg assembly, the top of the trunk structure is provided with a head joint, and the outer wall of the head joint is provided with an interactive screen. The vertical folding design is adopted, the waist assembly is used to realize 180-degree bending, the folding steps are only three, compared with the traditional horizontal folding mode, the vertical folding mode is shorter in time consumption and simpler in operation, the trunk and the arm are closely combined with the leg wheel foot structure after bending, the space utilization rate is obviously improved, the vertical folding mode is perfectly suitable for the storage and placement requirements of small space environments such as home-based old-age care and old-age homes, meanwhile, the auxiliary wheels are unfolded to form a triangular supporting structure with the main wheels, the stability of the robot in indoor ground walking in the old-age care scene is effectively ensured, and the light weight and the motion stability are considered.

The application relates to the technical field of administrative management and dispatching, and discloses an old-age care service system based on the Internet, which comprises a data acquisition unit, a logic operation unit and a resource configuration unit. The system divides a target area into a business management grid and determines a grid resource pre-occupancy weight by extracting service demand distribution characteristics and calculating demand distribution entropy. When the weight is out of limit, a resource node is locked and a virtual dispatching voucher is generated. A response preparation degree deviation is calculated based on the length of time that the node is static, a pre-displacement task is generated, and the resource node is driven to move to a high-probability demand area before a formal work order, the management and dispatching logic is reconstructed from passive response to a pre-displacement mechanism based on prediction, the resource state is locked by using the virtual voucher, and the starting hysteresis effect is eliminated, so that the response certainty of the system in response to sudden demand is synergistically enhanced.