140 results about "Elderly homes" patented technology

The invention relates to the technical field of intelligent building environment control and energy management, and provides a building ventilation regulation and control method and equipment based on multi-target space-time analysis in order to solve the problems of high energy consumption, uncontrollable infection risk and response lag in the prior art. Original data and the spatial-temporal features are combined into a multi-modal fusion data set, an air quality change rule is learned based on an LSTM model, a future air quality state matrix is output, a multi-target dynamic optimization function is constructed, an optimal regulation and control strategy of a fan, fresh air and purification equipment is generated, and the optimal regulation and control strategy of the fan, the fresh air and the purification equipment is obtained. The response speed is improved while energy consumption is reduced and infection risks are controlled, and the system is particularly suitable for public places such as hospitals, schools and nursing homes with high requirements for indoor gas environments.

The invention belongs to the technical field of artificial intelligence, and particularly relates to a multi-mode early cognitive impairment screening method and system based on medical history information.The method comprises the steps that a first electrode plate and a second electrode plate are arranged at the forehead position and the occipital position of the brain of a user to be detected in advance; the third electrode plate and the fourth electrode plate are arranged on the left side of the brain side by side, and the fifth electrode plate and the sixth electrode plate are arranged on the right side of the brain side by side. And obtaining a disturbance coefficient set of the to-be-detected user under the reference detection mode combination, inputting the disturbance coefficient set into a pre-trained early cognitive impairment screening model, and predicting to obtain a prediction probability value of the early cognitive impairment of the to-be-detected user, and by adopting the scheme to screen the early cognitive impairment, the accuracy is high, the universality is strong, and the accuracy is high. The method can be applied to screening of people in communities, nursing homes and the like on a large scale.

The invention relates to the technical field of sensing data processing, and discloses an old people home safety decision service system fusing multi-mode sensing data, which comprises a data interaction analysis unit, a data change analysis unit, a data calculation unit, a safety analysis unit and a safety decision unit. The hidden association of the multi-modal indexes is accurately captured, the early degradation of the collaboration level can be perceived through the graph condensation degree and the graph equilibrium value, the collaboration degradation track can be used for analyzing the collaboration state, and the finally generated safety decision instruction can perform early warning in advance. According to the scheme, single-mode threshold dependence is broken through, hidden dangers hidden in data correlation evolution are recognized in advance, and the lagging of home safety decision of old people is solved.

The invention relates to the field of identification and detection, in particular to a fall identification method based on millimeter wave radar point cloud data and a height threshold, which comprises the following steps of: 1, acquiring radar point cloud data; 2, extracting accurate point cloud data from target point information; 3, calculating three-dimensional point cloud data through an algorithm; 4, height information extraction and dynamic height threshold value fitting; 5, tumble identification is carried out; according to the method, the high-precision perception capability of the millimeter wave radar and the dynamic fitting model of the height threshold are combined, the accuracy of fall detection can be effectively improved, and the method has high environmental adaptability and privacy protection characteristics and is suitable for families, nursing homes, hospitals and other scenes.

The invention relates to the technical field of lighting devices, in particular to an intelligent lighting device with a fall monitoring function and a use method thereof. According to the technical scheme, the system comprises a filtering module, a PLC module, a central control unit, a posture recognition camera, an LED driving module, an LED light source module and an alarm, the posture recognition camera collects moving images of personnel in a monitoring area in real time, the central control unit analyzes the posture of the personnel based on an AI training model and judges whether a tumble event occurs or not, and if tumble is detected, the alarm gives an alarm. If yes, an alarm is started to give an acousto-optic alarm, and alarm information is pushed to a guardian terminal device through the Internet. According to the device, the power line carrier communication technology is adopted, additional wiring is not needed, the structural integration degree is high, non-contact and high-precision recognition of a falling event is achieved through the method, and the device has the lighting and safety monitoring functions and is suitable for families, nursing homes and other places.

The invention discloses a multi-radar vital sign monitoring system applied to a fixed crowd place. The multi-radar vital sign monitoring system comprises a horizontal layer 24 GHz radar network, a vertical layer 60 GHz radar array and an auxiliary sensor module. Through three-dimensional collaborative deployment of heterogeneous radars, an improved variational mode decomposition algorithm and a joint probability data association tracking technology are combined to realize separation of breathing, heart rate and behavior characteristics of multiple targets in a dense scene. The system adopts a space-time diagram convolutional network to extract individual gait periodic features, establishes a unique biological feature coding file through dynamic gesture track matching, and completes non-contact identity binding. A multi-band radar chip and a dual-mode communication interface are integrated in hardware design, and a lightweight AI model is deployed in software architecture to realize localized real-time analysis. The embodiment covers nursing home tumble monitoring, hospital postoperative monitoring and kindergarten safety management and control scenes, the radar distance and the beam direction can be dynamically adjusted, and the problems of privacy disclosure and target confusion existing in a traditional monitoring system are solved.

The invention relates to the technical field of smart old-age care, and discloses a personalized information rehabilitation task generation method, which comprises the following steps: acquiring rehabilitation data of old people in a nursing home and interaction data of visitors to form basic data; based on the rehabilitation data and the interaction data, constructing comprehensive portraits of the old and the visitors; comprehensive features of the comprehensive portrait are extracted, and initial task matching is carried out in a rehabilitation task library; performing multi-target weighted calculation on the initial tasks based on the old and visitors to obtain matching degrees corresponding to the initial tasks, and selecting three tasks from high to low according to the matching degrees as selection tasks; the senior side and the visitor side perform satisfaction scoring on the selected task, and the task with the highest comprehensive satisfaction is selected as a final rehabilitation task; the optimal rehabilitation task is generated through multi-target weighted calculation and a bidirectional scoring mechanism, dynamic accurate matching and safety intensity control are achieved, and the method has the advantage that the matching accuracy and safety of the rehabilitation task are improved.

The invention relates to a nursing home priority service response method, system and device based on digital twinning, and the method comprises the following steps: collecting health data of old people and state data of nursing personnel, and carrying out the preprocessing of the data; constructing an old people health state dynamic model, a nursing resource dynamic model and an environment path model; coupling the three models to form a digital twin model; calculating a service response priority based on the health score, the waiting time attenuation and the medical history characteristics of the elderly; according to the service response priority, scheduling the matched nursing personnel to carry out service response; and collecting a service execution result after the nursing personnel completes the task, updating the digital twinborn model based on the service execution result, and dynamically adjusting a scheduling strategy. According to the invention, real-time mapping and dynamic optimization of the health state of the elderly, the position of the nursing personnel and the environment path information in the nursing home are realized, and the service response efficiency, the resource scheduling accuracy and the nursing quality are remarkably improved.

The invention discloses a nursing home night safety management method and equipment, and the method and equipment are applied to an autonomous patrol robot, the autonomous patrol robot comprises an edge calculation unit and a multi-mode sensor, and the method comprises the steps: when the autonomous patrol robot patrols to a monitoring distance of a door, the edge calculation unit calculates the monitoring distance of the door; the edge calculation unit performs outdoor non-contact monitoring through a multi-modal sensor and acquires multi-modal sensing data; determining physical sign data of a human body according to the multi-modal sensing data; and carrying out association analysis on the physical sign data of the human body to obtain physical sign deviation information of the human body so as to carry out risk prediction on the old. Night safety management can be carried out on the nursing home more efficiently, and risk early warning can be carried out quickly and accurately.

The invention discloses an intelligent medicine chest management system based on multi-modal perception and adaptive learning, which obtains medicine visual information and millimeter wave feature codes through a rotary scanning platform, analyzes taking rules in combination with an edge side large model, and dynamically optimizes a reminding strategy based on user behavior learning. The system innovatively comprises a non-standard medicine multi-mode fusion recognition technology, a context-aware self-adaptive reminding engine and a hardware-level privacy protection architecture, can effectively improve family medicine taking compliance, obviously reduces the medicine taking error rate of a nursing home, and has great social value.

The invention provides a federal learning system based on a medical, nourishing and health data lake, and the system comprises a hospital node, a nursing home node and a rehabilitation center node which respectively obtain data governance rules issued by a medical, nourishing and health data lake center, and carry out the feature extraction of local data of a target user; the federal learning server sends the initial global model to a hospital node, a nursing home node and a rehabilitation center node; the following steps are iteratively executed: a hospital node, a nursing home node and a rehabilitation center node respectively carry out local training based on feature vectors and an initial global model; the federal learning server updates the global model based on the uploaded model gradient information; the federated learning server determines whether the current global model is converged or not; if not, the updated global model is sent to a hospital node, a nursing home node and a rehabilitation center node, so that the hospital node, the nursing home node and the rehabilitation center node continue training and upload model gradient information; and if so, determining that the medical auxiliary model is generated.

The invention relates to the field of intelligent medical diagnosis, in particular to a wearable intelligent urinalysis method, device and system and a wearable urinalysis instrument. According to the intelligent urinalysis method, the urinalysis instrument is worn on a patient by using a wearable design, urination and urine collection rules are judged through a sensing technology and an algorithm, basic conditions of urine are preliminarily detected by using a near-infrared technology, visible components of the urine are secondarily detected by using an image processing technology, and an upper computer is combined for contrastive analysis, so that an intelligent urinalysis result is obtained. And the result of the urine test of the patient is obtained and displayed in the wearable device, so that urine test of non-hospital patients such as home nursing or nursing homes is facilitated, the convenience of urine test of the non-hospital patients is improved, medical test resources are optimized, meanwhile, early recognition of patients with abnormal urinary tract indexes is greatly improved, and the accuracy of urine test is improved. And dynamic tracking can be realized and can be used as a reference basis for internet diagnosis and treatment.

1. Name of the Design Product: Nursing Work Platform. 2. Use of the Design Product: This product is applicable to various environments that require continuous care, such as hospitals, nursing homes, and medical institutions. By integrating Internet of Things (IoT), artificial intelligence (AI), and big data analysis technologies, the platform can monitor the health status of patients in real time, automatically process call requests, record and analyze data, evaluate the nursing needs of patients, and provide personalized nursing plans and more accurate and efficient nursing services, realizing the intelligent management of the nursing process. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Key Points: Front View.

The invention discloses an old people abnormal behavior identification method and system based on multi-modal fusion, and the method comprises the steps: an edge end synchronously collects visual, inertial and environmental heterogeneous data, and extracts each modal feature after time alignment and preprocessing; vision and inertia feature weights are dynamically corrected through a cross-modal attention adapter, and modal unbalance is relieved; constructing a multi-modal fusion graph, executing a graph attention mechanism (HLGAtt) in a hyperbolic Lorentz space, and depicting a behavior hierarchical relationship; and detecting anomaly based on the graph attention network, positioning a root cause node through random walk, and outputting an anomaly category and root cause interpretation. Compared with the prior art, the method has the advantages that the anomaly identification F1 score is increased by more than 6%, the false alarm rate is lower than 0.7 times per day, and the method has the characteristics of high reliability and interpretability, can be widely applied to nursing homes, communities and family scenes, and provides technical support for intelligent nursing for the aged.

The invention relates to a construction comprising a floor and a ceiling as well as: at least one enclosed space (3) extending at least from the floor to the ceiling and into which at least one technical equipment and / or at least one network (4) opens, at least one sanitary appliance or a water feature (1) located outside the enclosed space (3) and connected to the technical equipment and / or the network through at least one partition (2) of the enclosed space (3), and it is particular in that it comprises at least one partition (6) device (6) capable of connecting both to said sanitary appliance(s) or to said water feature(s) (1) and to said technical equipment(s) and / or to said network(s) (4). In concrete terms, this construction can be a hospital, a nursing home, a retirement or health home, an apartment building, an office, a detached house, etc.

This invention relates to the field of nursing equipment, and more particularly to a mobile intelligent bathing device for elderly care, comprising: a movable base plate with casters at its bottom for supporting the device for movement; a shower chamber fixed to the upper part of the movable base plate; an extension chamber fixed to one side of the shower chamber, the top of which is provided with a cover plate, and the extension chamber having a clean water chamber and a wastewater chamber respectively; a support unit including a set of supports symmetrically arranged on both sides inside the shower chamber; a chest cleaning section including a mounting plate folded and installed between elbow pads on both sides; and a back cleaning section including a fixing plate fixed to the inner wall of the shower chamber. This invention has a compact overall structure, complete functions, strong protection, and is easy for the elderly to use. It is suitable for various environments such as homes, nursing homes, and hospitals, and can help the elderly achieve efficient showering and skin care for their chest and back.

The invention relates to the technical field of pension service, and discloses a smart nursing home optimization auxiliary service system, which comprises a high-dimensional situation sensing module, which is used for collecting multi-modal biological and environmental signals in real time through an integrated sensor array; the professional cognitive reconstruction module is used for deducing a cognitive path sequence and a decision intention; the service behavior generation module is used for reversely deriving a complete language expression sequence and a limb behavior sequence required by the old-age care service; the dynamic calibration module is used for comparing the actual situation change with the service system expectation in real time; the body memory module is used for constructing body memory experience for immersive backtracking of service personnel; and the cognitive sharing module is used for anonymously extracting the situational cognitive fingerprints. According to the invention, the service instruction is transmitted to the service personnel without perception through the cross-sensory customized instruction transmission unit, the standardization and accurate control of the service behavior are realized, dynamic adjustment is carried out according to the actual situation change, and the real-time adaptability of the service process is ensured.

To solve a problem of smoothly carrying out an intelligent conversation and communication in a facility for the elderly by introduction of an elderly persons support robot.SOLUTION: An elderly persons support robot system capable of intelligent conversation includes: a robot body loaded with AI; a sensor for grasping a situation in a facility for the elderly; a voice recognition and synthesizing means for carrying out smooth communication with the elderly; and a data base for providing suitable information according to the needs of the elderly.SELECTED DRAWING: Figure 1

The utility model discloses an automatic rocking chair for a hospital, and relates to the technical field of rocking chairs. Comprising a base and a seat, a rotating frame is fixedly installed on the upper side of the base, a rotating seat is rotationally connected to the center in the rotating frame, the seat is located on the upper side of the rotating seat, rocking seats are fixed to the left and right lower sides of the seat, and sliding seats corresponding to the rocking seats are arranged on the left and right sides of the upper side of the rotating seat; according to the automatic rocking chair for the old hospital, through double rocking, flexible angle adjustment, automatic operation and an accurate control system, more comfortable, safer and personalized experience is provided for old people, the diversified requirements of different old people can be met, and the practicability is high. And the working pressure of nursing personnel can be relieved, the life quality of the old people is improved, and the design has great positive significance on nursing of the old people and daily operation of a nursing home.

The assembly comprises a side pocket used for placing a micro-miniature device, and a barrier strip used for being in contact with the upper end face of the micro-miniature device and enabling the micro-miniature device to be fixed in the side pocket is fixedly arranged on the inner wall of the outer side of a pocket opening of the side pocket; one end of the elastic piece is fixed on the bottom surface of the barrier strip, and the other end of the elastic piece is connected with the inner wall of the inner side of the side pocket or the bottom of the side pocket; after the micro-miniature device is put in, the elastic piece is stretched, and the stretched elastic piece is matched with the barrier strip to clamp the micro-miniature device in the vertical direction; through the cooperation of the elastic piece and the barrier strip, the micro-miniature device is fixed in the side pocket, the possibility that the micro-miniature device deviates or falls in the activity process of the old is reduced, whether the micro-miniature device is installed or not can be observed through the cooperation of the transparent window, and more convenience and intuition are achieved; according to the waistband provided with a plurality of assemblies, the use cost can be reduced, and when a user changes the waistband, only the placed micro devices need to be replaced.

The invention relates to the field of lower limb exercise equipment, and discloses nursing equipment for a nursing home, which comprises a rehabilitation unit and a control assembly. The rehabilitation unit comprises a truss fixed on the ground and a plurality of steps rotationally arranged on the truss to form a circulating escalator, a first step surface of the circulating escalator is flush with the ground and serves as a starting point, a second step surface serves as an end point, and a starting pedal is flush with the first step surface and hinged to the truss. The control assembly comprises a first sensor and a controller, and when the sensor detects that an object passes through the second step face, the controller can adjust the circulating escalator to enable the second step face to become a new starting point. The old people can exercise the lower limb muscle strength and improve the gait coordination by walking from the starting point to the ending point by themselves, and the falling risk is reduced. The self-control feeling of the old is improved, the life confidence of the old is enhanced, meanwhile, the workload of nursing personnel is reduced, and the site utilization efficiency and the nursing safety are improved.

1. Name of the product in this design: Anti-collision handrail (through-body colored stripe). 2. Purpose of this design: For impact protection of interior and corridor walls in hospitals or nursing homes. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention provides an intelligent recommendation method for nursing education resources, and the method comprises the steps: obtaining the skill level of a worker according to the skill information inputted by the worker who nurses an old person in a nursing home, and determining a target screening condition; searching in an educational resource library according to the disease information of the target old person input by a worker to obtain a plurality of initial educational resources; dividing all the old people into a plurality of clusters according to the relation topology network corresponding to all the old people in the nursing home; according to the personal attribute information of the target old person and a support vector machine, matching with the attribute feature matrix corresponding to each cluster to obtain the cluster to which the target old person belongs; and according to the feedback information, optimizing a target screening condition, and according to the optimized target screening condition and each initial educational resource, determining an optimal educational resource and recommending the optimal educational resource to the worker. According to the embodiment of the invention, the accuracy of recommending the educational resources to the target user is improved, and personalized recommendation to the user is realized.

This application discloses a method and system for interacting with a virtual reality space in a nursing home. The method includes: determining whether the user's identity information can be obtained based on the user's portrait information; if so, obtaining the user's identity information and the user's location information; obtaining the user's demand information; determining whether a user virtual person needs to be established based on the user's demand information; if so, establishing the user virtual person; obtaining task information based on the user's demand information; controlling the user virtual person to complete the task information in the virtual reality space and generate a task report; and interacting with the user based on the task report to obtain a new round of task information until the interaction ends. This application only requires obtaining the user's demand information, and the system automatically controls the virtual person to complete the user's demand items.

The application provides a wheelchair intelligent positioning monitoring method for a nursing home, comprising the following steps: S1, arranging an RFID reader and an RGB-D camera in each area of the nursing home, and installing an RFID tag on the wheelchair; S2, training a person identification model; S3, planning a safe path; S4, generating data information by reading the tag with the RFID; S5, calling an area image by a processing module according to the data information; S6, identifying a wheelchair user in the image according to the data information by calling the person identification model, and obtaining a three-dimensional coordinate point of the wheelchair user at a reading signal timestamp; S7, calculating a deviation and an orientation angle of the three-dimensional coordinate point of the wheelchair user at the reading signal timestamp compared with the safe path by the processing module; S8, determining whether the wheelchair user is in a safe state by combining the deviation difference and the orientation angle change rate in a warning module, if not, marking a real-time video picture at a remote monitoring end, and if yes, unmarking, the application has the effects of reducing misjudgment and reducing the workload of monitoring personnel.

The invention belongs to the technical field of environmental sanitation and disinfection, and particularly relates to application of a smoke insecticide containing 5% cypermethrin in preparation of a medicine and a method for disinfecting a scabies environment. The smoke insecticide forms a smoke agent at high temperature, effectively diffuses in a closed space and kills sarcoptic mites, and has the advantages of high efficiency, low toxicity, simplicity and convenience in operation, low cost and the like. The method is especially suitable for crowded places, such as nursing homes and schools, can effectively prevent and control the outbreak and spread of scabies, and guarantees the public health safety.

The invention discloses an old-age care case matching method based on big data processing, and the method comprises the following steps: collecting and integrating the care case data of the elder of a nursing home, and constructing a multi-dimensional information set; performing standardized field mapping and time serialization processing on the data, and unifying the data into a structured data set; performing text analysis based on the medical subject word bank to generate a searchable semantic tag set; inputting the structured data set and the semantic tag set into a TabTransform network based on an attention mechanism, extracting interaction features between fields, and generating a fusion feature vector; similarity retrieval is achieved through FAISS, and a similarity ranking candidate case set is output; and in combination with the nursing effect and expert evaluation, dynamically marking high-quality cases to form reusable nursing scheme resources. According to the invention, rapid matching of nursing cases and intelligent recommendation of high-quality schemes can be realized.

1. The name of the design product: nursing bed frame (active old man version). 2. The use of the design product: nursing bed frame for hospital, nursing home and other rehabilitation, nursing personnel bed rest. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: reference figure 1 in use.

The application belongs to the technical field of artificial intelligence, and particularly relates to an early cognitive impairment screening method and system based on multi-mode electromagnetic field biological detection, wherein the method comprises a first electrode sheet and a second electrode sheet arranged in advance on the forehead position and the back occipital position of the brain of a user to be detected, a third electrode sheet and a fourth electrode sheet arranged side by side on the left side of the brain, and a fifth electrode sheet and a sixth electrode sheet arranged side by side on the right side of the brain; a disturbance coefficient set of the user to be detected under a reference detection mode combination is obtained and input into a pre-trained early cognitive impairment screening model to obtain a prediction probability value of the user to be detected in terms of early cognitive impairment; the early cognitive impairment is screened by using the scheme, the accuracy is high, the universality is strong, and the scheme can be applied to the screening of crowds in communities, nursing homes and the like on a large scale.

The invention discloses an information supervision and management method and system based on a nursing home, and relates to the technical field of information supervision and management. The method comprises the steps of obtaining health information of users in a nursing home, and screening reference users meeting requirements; obtaining feedback information of a reference user in the nursing home, and analyzing a logic structure of the feedback information to obtain an information logic degree; extracting the description condition of the feedback information, obtaining the life experience of the reference user, and judging the information forgery degree of the feedback information; objective information in the feedback information is extracted to obtain information trueness; combining the information logic degree, the information forgery degree and the information trueness to calculate the information credibility; screening feedback information reaching a preset information credibility threshold as reference information; and extracting effective content of the reference information as a reference basis for supervision and management to obtain a supervision and management result. The authenticity of information supervision and management based on the nursing home is improved.