14 results about "Caring environment" patented technology

The invention discloses a dementia intervention scheme recommendation method and system based on a knowledge graph, and relates to the technical field of intelligent medical treatment and artificial intelligence. And constructing a dementia intervention knowledge graph containing patients, symptoms, intervention measures and environmental elements. And performing intelligent semantic reasoning on the short-term state, the long-term behavior mode and the nursing environment of the patient by fusing multi-level reasoning and situational reasoning, generating a candidate intervention scheme matched with the current state of the patient, and outputting a personalized recommendation result. In the intervention implementation process, the knowledge graph association relation is dynamically updated based on patient behavior feedback and symptom changes, and continuous optimization and self-adaptive adjustment of an intervention scheme are achieved. According to the method, the individuation level, long-term adaptability and safety of dementia intervention recommendation are improved, and the method is suitable for clinical and long-term nursing scenes.

The invention relates to an intelligent regulation and control method and system for a health-care environment based on a neural network algorithm, and belongs to the technical field of intelligent regulation and control of the environment, and the regulation and control method comprises the steps: collecting environment sensor data, human physiological data and user interaction data, carrying out the space-time alignment and encryption desensitization processing, and generating an encrypted space-time matrix; respectively calculating a user physiological fitness index, an environment disturbance index and a behavior preference index based on the encrypted space-time matrix, and generating a three-dimensional feature vector; inputting the three-dimensional feature vector and historical sequence data into a neural network model, and outputting environment setting parameters; performing energy-saving adjustment on the environment setting parameters through a multi-objective optimization algorithm, and generating an equipment control instruction set; distributing the equipment control instruction set to an executor, and collecting equipment state data after execution; and calculating an error according to the equipment state data and the user feedback information, and performing parameter adjustment on the neural network model. The method can effectively meet the increasingly complicated health-care environment regulation and control requirements.

A computer-implemented method, system, and computer program product for assessing and enhancing safety and functionality of environments for aging populations. A description of the physical characteristics of an environment (e.g., aging and senior care environments) is received. Such a description includes a comprehensive set of quantifiable and observable data points that define the physical, sensory, and spatial attributes of the space of the environment. Upon receiving the description of physical characteristics of an environment, the description is analyzed against a set of environment design rules (structured guidelines and criteria used to systematically arrange, specify, or modify physical and spatial characteristics of the environment to optimize its safety, functionality, accessibility, and psychological impact for a specified group) tailored for aging populations and individuals with cognitive impairment. Upon performing such an analysis, one or more recommendations for modifying the environment are then generated based on the analysis.

A multipurpose bedside table device is provided. The device is an improved bedside table designed to enhance patient comfort, accessibility, and convenience in healthcare and home care environments. The device comprises a mobile base equipped with locking wheels for secure positioning and under-bed compatibility. A motorized or manually adjustable arm supports a rotating tabletop, allowing flexible positioning for various activities. The tabletop integrates modern features such as power outlets, USB charging ports, a retractable power cord, and an optional rechargeable battery for cord-free operation. Additional conveniences include a wireless charging pad, LED lighting with customizable brightness, storage drawers, pull-out trays with cupholders, a retractable device stand, and a swivel fan for personalized airflow. The tabletop further has a dry-erase surface with raised spill-resistant edges enhancing usability.

We provide the system. [Solution] A data acquisition method for obtaining the user's biometric data, An analytical means for analyzing the acquired biological data and detecting abnormalities, A notification means for notifying the user of an anomaly detected by the analysis means, Information sharing means for transmitting the aforementioned abnormal information to medical institutions, A notification system for detecting abnormalities in the care environment and sending alerts to care workers, A system that includes this.

The invention discloses an intelligent health-care environment monitoring and early warning system based on artificial intelligence and unmanned aerial vehicle images, and particularly relates to the field of monitoring and early warning, and the system comprises an unmanned aerial vehicle cluster module, an edge calculation module, a central analysis platform, and an intelligent early warning and decision support module. The unmanned aerial vehicle cluster collects images according to a preset path, parameters are dynamically adjusted according to environmental data, and three types of specialized unmanned aerial vehicles work cooperatively; the edge computing node preprocesses data in real time, an image is processed through a three-stage pipeline architecture, and the central analysis platform comprises an environmental risk identification unit, a personnel behavior analysis unit and an ecological parameter monitoring unit which are used for detecting physical risks, identifying human body behaviors and inverting environmental parameters in real time respectively; and the intelligent early warning and decision support module receives the analysis result, evaluates the risk, carries out graded early warning, generates a disposal scheme, records an early warning event, and is also provided with a relative intervention mechanism to ensure the safety of the health environment.

This invention discloses an intelligent temperature control method for cigar cabinets based on multi-sensor fusion, belonging to the field of cigar care equipment control technology. The method includes deploying a sensor array to periodically collect environmental data within the cabinet; constructing a multi-dimensional distributed field model based on the data and calculating thermodynamic coupling characteristic values; comparing the characteristic values ​​with preset thresholds to generate a preliminary control strategy; combining historical compressor load data analysis to generate a final control command sequence containing dynamic timing; and driving the actuator to perform actions. This method accurately characterizes the three-dimensional spatial environment state through a field model, realizing a shift from point-based control to overall uniform control; and optimizes the compressor start-stop rhythm through timing-based commands, effectively reducing equipment wear and energy consumption while ensuring precise temperature control, extending equipment life, and maintaining a stable care environment.

Provide a system. 【Solution means】 Means for collecting health-related information from an information communication network, Means for collecting the living activity data of residents through a device, Means for integrating the health-related information and the living activity data and analyzing them using a generation model, Means for generating a health improvement plan suitable for residents based on the analysis results, Means for notifying the residents of the health improvement plan, Means for collecting the reactions of residents and adjusting the generation model, Means for monitoring the health status in a care environment and optimizing individual care plans, A system including the above.

A remote patient monitoring (RPM) system is disclosed that acquires blood pressure (BP) data from a BP monitor and enriches the data with contextual information obtained directly from the user during the measurement session. The BP monitor includes a display and input hardware for presenting questions and receiving predetermined responses that form contextual data associated with the BP data. The enriched BP data is transmitted to a server, which attributes a notification level using a correspondence database linking BP values and contextual data to notification levels or level variations. A remote monitoring interface, executed on a device used by a healthcare professional, displays the BP data in a display mode determined by the attributed notification level. The system reduces false alerts, improves triage efficiency, and provides clinically actionable information for diagnostic assessment in remote-care environments.

1. Name of the product in this design: Medical care pad. 2. Purpose of this design: Used in medical care settings to absorb patient bodily fluids and secretions, maintain a clean and dry care environment, and protect patient skin and clothing. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

An AI keystone system for medical decision support generates governed, auditable clinical insights. A medical data governance (MDG) engine ingests heterogeneous patient-related data from clinical systems, medical devices, and clinician inputs, validates and normalizes the data under governance rules, and emits structured, context-constrained representations for identified patients and episodes. One or more intermediary components collect and relay real-time device data so downstream processing operates only on governed data. A reasoning layer with artificial-intelligence models, including at least one large language model, cooperates with modular AI components to process clinician queries and generate candidate clinical outputs. A cryptographic governance subsystem evaluates candidate outputs against patient-safety rules, regulatory mandates, institution-specific policies, and stored consent artefacts using machine-verifiable constraints, enforces dual-factor clinician authentication, and maintains immutable, hash-chained audit trails with trusted timestamps that gate workflow progression. The system enables defensible use of AI-assisted clinical insights across hospital, clinic, and virtual-care environments.

The invention relates to an intelligent health care control method, device and system and a storage medium, and belongs to the field of health care environment control, and the method comprises the steps: obtaining current environment parameters monitored by a plurality of sensors and user physiological data monitored by a physiological data collection device in real time through a data interface; inputting the physiological data of the user into a health assessment model based on deep learning to obtain a health state of the user; determining a target environment parameter according to the health state; generating an environment regulation and control instruction according to the current environment parameter and the target environment parameter; and sending the environment regulation and control instruction to corresponding environment regulation equipment through a control interface so as to drive the environment regulation equipment to operate, so that the health environment reaches the target environment parameters. The method has the effect of improving the regulation precision of the health-care environment.

The application discloses a forest health-care environment evaluation and analysis system, and belongs to the field of environment evaluation and analysis systems.The system comprises an animal calling data acquisition module, a plant distribution data acquisition module, a facility service acquisition module, an environment quality acquisition module, a data receiving module, a data analysis module, a preset data import module, an evaluation module and an early warning notification module.The animal calling data acquisition module is used for acquiring calling data of animals in a target forest and sending the acquired animal calling data to the data receiving module.The plant distribution data acquisition module is used for acquiring distribution data of plants in the target forest.The facility service acquisition module is used for acquiring the running state of facilities in the target forest and the online score of a catering and accommodation shop within three kilometers of the target forest.The application can put the calling of animals into evaluation and analysis, so that the evaluation and analysis result is more accurate and comprehensive.

The invention discloses a high-safety household intelligent hydrogen-oxygen therapeutic machine and a working method. The high-safety household intelligent hydrogen-oxygen therapeutic machine comprises a shell, an electrolytic cell, a gas-liquid separation device, a control module, a power module, a safety monitoring system, a closed-loop control system and a man-machine interaction system, wherein the safety monitoring system, the closed-loop control system and the man-machine interaction system are integrated; the safety monitoring system monitors the equipment state in real time through multiple sensors such as water flow, differential pressure, water quality, water level and temperature, and operation safety is ensured; the closed-loop control system accurately adjusts the power of the power supply according to the real-time current, voltage and output differential pressure feedback of the electrolytic cell, and ensures stable and reliable gas production; the man-machine interaction system provides rich state information and visual fault guidance through the touch display screen and the voice interaction module, the problem that an existing household hydrogen-oxygen therapeutic machine is insufficient in safety, reliability and interaction experience is fundamentally solved, and the household hydrogen-oxygen therapeutic machine is particularly suitable for the household health care environment.