80 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 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 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 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 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 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.

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.

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 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.

An object of the system according to the embodiment is to achieve efficiency of work and reduction of working hours in a health center for the elderly or a hospital.SOLUTION: A system includes a sensor, an abnormality detection unit, and an alert transmission unit. The sensor is installed in each room or hospital room. The abnormality detection unit detects an abnormality based on the biological information collected by the sensor. The alert transmission unit transmits an alert based on the abnormality detected by the abnormality detection unit.SELECTED DRAWING: Figure 1

This invention discloses an integrated liquid diet supply and digestion monitoring system for gastrointestinal care. The system includes a core control module, a liquid diet supply module, a digestive status monitoring module, a multi-scenario adaptation module, a multi-device collaboration module, and a data management module. By constructing a three-tiered closed-loop system of "early warning-intervention-emergency care" to prevent aspiration, it achieves non-invasive automatic monitoring of gastric residual volume, personalized customization and infusion linkage of liquid diet formulas, linkage between intermittent infusion and oral care, and full-process traceability analysis of abnormal events. It is portable and can interconnect with multiple devices such as smart beds, monitors, and hospital HIS / LIS systems to form a smart medical ecosystem. This invention achieves the integration and intelligentization of liquid diet supply, digestion monitoring, and gastrointestinal care, covering four major scenarios: hospitals, rehabilitation centers, nursing homes, and homes. It significantly improves diagnostic and treatment efficiency and patient comfort, meeting both clinical needs and quality control research requirements.

The self-closing type water-saving valve comprises a three-way valve body, a water outlet and two water inlets are formed in the upper end and the lower end of the three-way valve body respectively, a water inlet channel of each water inlet is communicated with a water outlet channel of the water outlet, each water inlet channel is provided with a matched valve element, and the valve element is transversely inserted into the corresponding water inlet channel, so that the water-saving valve is closed. Further, the water inlet channel is closed; comprising hydraulic superchargers corresponding to all the valve elements. A hydraulic pump of the hydraulic supercharger is communicated with a hydraulic cylinder, a push rod of the hydraulic cylinder is connected with the corresponding valve element, a piston body of the hydraulic pump is rotationally connected with the lower end of a piston rod, and external threads are arranged on the upper portion of the piston rod. The piston rod of each hydraulic pump converts linear motion into rotary motion, and is matched with the handle to drive the driving gear to rotate, so that more labor is saved, the force required for opening the valve is further reduced, and the valve is particularly suitable for kindergartens, nursing homes, hospitals and other places.

The invention discloses an environment control method and system based on wind speed sensitivity, and the method comprises the steps: carrying out the weakness grade division (non-weakness, weakness early stage and weakness) of old people according to a Fried weakness phenotype; secondly, through a subjective thermal sensation voting (TSV) experiment, personalized wind speed threshold models of old people with different weakness levels under various operation temperatures are established; then, monitoring the head skin temperature and the sweat amount of the user in real time by using an infrared thermal imager and a skin conductivity sensor; and finally, based on the real-time physiological data, the environment temperature and a preset wind speed threshold model, the wind speed of the fan is controlled through a dynamic adjustment algorithm, an attenuation mode is started when the wind speed is close to a tolerance threshold, and meanwhile the environment temperature is cooperatively adjusted. According to the invention, precise and dynamic environment regulation and control of the elderly, especially the weak elderly in the early stage is realized, the thermal comfort is effectively improved, discomfort caused by too strong wind speed is avoided, and the system is especially suitable for the scenes such as nursing homes and apartments for the elderly.

The application relates to the technical field of nursing home management platforms, in particular to an intelligent nursing home management platform based on the Internet of Things, which comprises a sleep monitoring module, a language detection module, an outdoor activity time counting module, a control module, a preliminary evaluation module and a communication module; the sleep monitoring module is used for monitoring and acquiring sleep-related data; the language detection module is used for detecting and acquiring language-related data; the outdoor activity time counting module is used for counting and acquiring outdoor activity time-related data; the control module derives a preliminary evaluation factor of depression; the preliminary evaluation module derives information about whether the old people have depression according to the preliminary evaluation factor of depression and transmits the information to the communication module; and the communication module transmits the information about whether the old people have depression to a user end. The above is helpful for improving the efficiency of platform detection.

The invention discloses a nursing home old man falling identification method and device based on a multi-modal large model, and the method comprises the steps: firstly obtaining an old man target bounding box coordinate set, and extracting a target region based on the old man target bounding box coordinate set to obtain an old man behavior image set; and then matching a question text for each old person behavior image in the old person behavior image set, inputting the question text into a multi-modal large model, and performing fall detection on the old person behavior image set to obtain a fall analysis answer list. And then semantic analysis and classification operation are performed on the tumble analysis answer list to obtain a tumble sample index set, and tumble event positioning and visual marking are performed on the nursing home video monitoring image based on the tumble sample index set and the old man target bounding box coordinate set to obtain a nursing home old man tumble identification annotation graph. Compared with a traditional detection method, the method has higher recognition accuracy and lower missing report rate.

A portable biometric monitor device for first responders including, police, fire, emergency medical technicians and paramedics is disclosed. The monitor is suitable for use in non-medical locations where monitoring may be beneficial, such as nursing homes and jails.

The invention relates to the field of smart nursing services, and discloses a smart nursing home optimization marketing method, which comprises the steps of collecting multi-modal data of potential customers; adopting a multi-model fusion framework to construct an initial predictive health portrait; generating an initial personalized pension narrative script by using a large language model based on the portrait; capturing and analyzing operation or language feedback of the client in interaction with the client, and converting the operation or language feedback into structured data; and dynamically correcting the health portrait according to the feedback, and automatically regenerating a narrative script. The system comprises a data acquisition module, a health portrait construction module, a narrative script generation module, an interactive feedback capture module and a portrait dynamic correction module. According to the method, the predictive portrait and the narrative scheme are constructed, and the dynamic correction and the continuous optimization closed loop are combined, so that the deep individuation and intelligent iteration of the marketing content are realized, and the marketing conversion efficiency is improved.

The invention relates to the technical field of smart nursing, and discloses a smart nursing home management system and method based on a cloud platform, and the system comprises a data collection module, a baseline modeling module, a dynamic evaluation module and an intervention recommendation module. According to the system, a baseline entropy vector representing the individual stable state of each old person is established for each old person by collecting multi-dimensional data. And dynamically calculating a real-time entropy vector, and comparing the real-time entropy vector with the baseline entropy vector to generate a steady-state deviation index so as to quantitatively evaluate the out-of-order risk of the life pattern of the elderly. The effectiveness is quantified based on the change of entropy values before and after intervention, a personalized intervention knowledge graph is constructed, and self-adaptive intervention recommendation is carried out when similar state deviation occurs in the future according to the personalized intervention knowledge graph. According to the invention, an evaluation focus can be converted from an isolated and occurred abnormal event to dynamic tracking of regular change of the overall life pattern of the old people, so that early and foresight identification of potential health risks is realized.

A nursing bed with a soft bathtub comprises a nursing bed body 10, the nursing bed body 10 is provided with a mattress 20 and the soft bathtub 30, the bottom face 31 of the soft bathtub covers the mattress 20, the side wall 32 of the soft bathtub shrinks downwards or expands upwards around the mattress 20, the bottom face 31 of the soft bathtub is provided with a drainage pipe 40, the drainage pipe 40 penetrates through the mattress 20 downwards, and the drainage pipe 40 is connected with the mattress 20. And bathtub brackets 50 for supporting the soft bathtub to be unfolded are arranged at four corners of the nursing bed 10. According to the nursing bed, the retractable and expandable soft bathtub is combined with the mattress, the soft bathtub can be expanded to form a bathing environment, the soft bathtub can be retracted to form a daily living environment of the nursing bed, disabled people can take a bath and keep the body clean on the nursing bed in daily life, and the nursing bed with the soft bathtub is simple and practical in structure, convenient to operate and high in practicability. The device is suitable for medical institutions, nursing homes and home nursing.

1. Name of the product in this design: Intelligent Medicine Delivery Cart. 2. Intended use of this design: Automatic delivery of medicines in homes, 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: a 3D model. 5. The design for which protection is sought includes color.