16 results about "Elderly population" patented technology

The invention is applicable to the technical field of medical aid decision making, and particularly relates to a method, a system and equipment for constructing a six-minute walking distance prediction model for old people, and the method comprises the steps: obtaining brain wave signals, experimental data and body data of a target user in a test process; screening the experimental data into stable data and fluctuation data based on the brain wave signal; determining correction data based on the stable data and the fluctuation data, and determining correction experiment data based on the correction data and the stable data; and taking the body data of each user target and the corrected experiment data as a group of training data in a training data set of a prediction model, and obtaining the prediction model based on multiple groups of training data. According to the old people group six-minute walking distance prediction model construction method provided by the invention, the prediction accuracy of the old people group six-minute walking distance prediction model can be improved.

This invention discloses an IoT-based sleep monitoring device and management system for elderly healthcare, belonging to the field of sleep monitoring technology. The IoT-based sleep monitoring device for elderly healthcare includes a sleep monitor connected to a sleep monitoring belt via a data cable. The sleep monitoring belt is equipped with a sleep monitoring module, which monitors the user's sleep in real time, collects multi-source sleep data, and transmits the collected data to a cloud platform via an IoT communication module. This invention solves the problem that existing methods cannot achieve real-time monitoring and health risk warning management of the elderly, thus reducing the sleep quality and health level of the elderly population. This invention enables real-time monitoring and health risk warning management of the elderly's sleep, improving their sleep quality and health level.

The application discloses an intelligent machine description fault identification auxiliary processing method and system for the elderly, relates to the technical field of machine learning, and comprises the following steps: establishing a fault correlation network graph of a known intelligent machine; acquiring intelligent machine description fault video-audio stream data of a target elderly person; verifying the similarity score between the intelligent machine description fault video vector-audio stream vector, positioning the intelligent machine description fault video vector-audio stream vector that is not in the consistency threshold interval, generating an interactive clarification task, updating the intelligent machine description fault video-audio stream data of the target elderly person, establishing an intelligent machine description fault identification multi-modal model, generating an intelligent machine fault positioning-confidence matrix of the target elderly person, correlating and matching the fault correlation network graph of the known intelligent machine, determining the intelligent machine fault type, and generating an auxiliary processing scheme. The application has the advantages of improving the fault type diagnosis accuracy and the personalized elderly solution.

The invention relates to the development of a fall detection system for the elderly population or adults or children. Our system relies exclusively on surveillance cameras for fluid and discreet daily monitoring. Our approach combines the human silhouette and head speed for fall detection. The head is detected from the mask and key points of the silhouette extracted from pixels using a pre-trained neural network. Head speed is calculated by detecting the centroid of the head and by measuring the distance travelled by that point during activity. This advanced method ensures accurate and efficient classification of falls and can be used to detect head injuries caused by high-speed ground impact.

The present application relates to the technical field of data processing and spatial operations optimization, and particularly relates to a pension facility spatial layout optimization method based on multi-model and reachability analysis, which obtains the spatial distribution data of the elderly population by constructing a hexagonal grid, introduces a Gaussian distance decay function to improve the two-step moving search method, combines the multi-mode travel time cost and facility service capacity to measure the spatial reachability, identifies the supply-demand mismatch area based on the standard score model, constructs a hierarchical optimization strategy by fusing the P-barycenter location model and the reachability variance minimization model for the area, obtains the location scheme through the location optimization stage respectively, and obtains the configuration scheme by using the quadratic programming algorithm in the service capacity configuration stage, and the present application realizes the organic unification of the pension resource configuration efficiency and spatial fairness through the technical means of multi-model fusion and hierarchical progressive optimization.

This invention discloses an early warning system for heart failure in elderly patients based on multimodal physiological signal fusion, belonging to the field of early warning technology for heart failure, aiming to solve the problem of poor early warning effect. This invention adopts a non-invasive wearable device design, adaptable to the wearing habits of elderly patients, without invasive discomfort, and easily accepted by the elderly population. Through a multi-dimensional feature extraction unit, it unifies the signal time axis and associates it with the patient's basic clinical information, extracting specific features from the time domain, frequency domain, and joint domain to accurately capture subtle pathological changes in the early stage of heart failure, constructing a comprehensive risk characterization across five dimensions. An abnormal event detection unit achieves quantitative detection of heart failure probability and four-level risk classification, combined with an early warning feedback unit to achieve precise intervention at different levels, avoiding waste of medical resources and quickly triggering emergency warnings for high-risk patients.

The invention provides an intelligent interactive self-diagnosis method and system for common diseases of middle-aged and elderly people, and the method comprises the steps: obtaining interaction obstacle information including vision, hearing, hand obstacles and speaking expression obstacles according to normalized key symptom information and disease types, performing strategy matching in a pre-constructed personalized self-diagnosis service strategy library according to the interaction obstacle information, and dynamically adjusting an interaction mode of a self-diagnosis process; through the matched personalized self-diagnosis service strategy, a text interaction mode is provided for hearing impairment, a voice question answering or font amplification interaction mode is provided for visual impairment, and a voice broadcast interaction mode is provided for hand impairment; according to the standardized key symptom information and the disease category, personalized self-diagnosis results and treatment schemes are obtained, and the self-diagnosis process with standardized interaction is formed in combination with the adjusted self-diagnosis process interaction mode.

The application provides an old-age group mental health intelligent evaluation and intervention system based on multi-modal perception, and belongs to the technical field of mental evaluation and intervention. The system fuses four evaluation modes of pure images, pure texts and the like, captures micro behaviors in an evaluation process to construct a multi-dimensional evaluation matrix, extracts core representations and analyzes nonlinear cognitive biases, constructs and fuses a cognitive graph layer to realize dynamic weighting of evaluation modes and themes, inputs the weighting result into a pre-training model, and outputs an individualized mental intervention scheme. The application improves the accuracy and comprehensiveness of old-age mental evaluation, and makes the intervention scheme more targeted and in line with the cognitive physiological characteristics of the old-age group.

The nursing bed comprises an L-shaped plate, a bed plate is arranged on the L-shaped plate, the bed plate is connected with the L-shaped plate through a recycling assembly, the recycling assembly comprises a first motor, and the first motor is connected with the side, away from the L-shaped plate, of the bed plate through multiple sets of pull ropes and used for driving the bed plate to be stored so as to save the space of the motor home; according to the recreational vehicle nursing support device, the recovery assembly drives the bed plate to be stored, the first motor drives the rotating cylinder to rotate to wind the pull rope, the bed plate is folded towards the L-shaped plate around the rotating block to be stored in the space of the recreational vehicle, when nursing support is needed, the rotating cylinder rotates to drive the hydraulic rod to rotate, and the hydraulic rod is used for adjusting the angle of the rotating plate to adapt to the nursing posture. The first motor releases the pull rope to unfold the bed board, then the hydraulic rod drives the rotating plate to rotate to adjust the angle, and through the steps, the bed board is folded and unfolded, the angle of the rotating plate is adjusted, the limited space of the motor home is adapted, and the nursing requirements of old people are met.

The invention provides a special diet for correcting micronutrient deficiency of old people, which relates to the technical field of food and comprises protein, fat, carbohydrate, compound vitamins, compound minerals and food additives. The energy supply ratio of protein is 20-50%, the energy supply ratio of carbohydrate is 40-60%, and the energy supply ratio of fat is lt; 10%; every 100kJ of diet contains more than or equal to 100mg of the compound vitamins, more than or equal to 150mg of the compound minerals and more than or equal to 200mg of the food additives. The special diet suitable for the old people is provided on the basis of the dietary nutrition status survey result of the old people and referring to the reference intake of dietary nutrients for Chinese residents (2013 edition), the special diet contains rich nutritional ingredients, can meet the requirements of the old people for nutrients, and is reasonable in content of all the components and suitable for being eaten by the old people. The food is suitable for correcting the micronutrient malnutrition condition of old people.

The application relates to a medical facility accessibility measurement method based on medical treatment travel characteristics of the elderly, which comprises the following steps: step S1: taking a residential block as a research unit, and dividing the research area; spatializing medical facility and elderly population data respectively; step S2: measuring travel time cost data of each residential block to the medical facility; step S3: constructing an improved Gaussian two-step moving search method based on medical treatment selection and travel characteristics of the elderly population; and finally, measuring the medical facility accessibility of the elderly through the improved Gaussian two-step moving search method. The method is favorable for accurately evaluating the medical facility accessibility of the elderly.

This invention provides a method for predicting the elderly category structure in disease populations based on grey component prediction modeling. The method includes: collecting multi-component elderly population structure data influenced by specific diseases and analyzing the characteristics of the component data; constructing a modeling framework that integrates a time elasticity mechanism and component structure analysis based on the data characteristics; establishing a novel dynamic nonlinear grey component prediction model based on the framework, which is adapted to irregular time-series component data and optimized with multiple parameters; solving the grey component prediction model parameters and estimating the structural evolution of each component of the elderly disease population, thereby solving the problem of predicting the elderly category structure and managing health in disease populations with small sample sequences. The method proposed in this invention can accurately depict the proportional changes of elderly people in different health states within a disease population, enabling health managers to more accurately grasp the changing trends of the elderly population in the disease burden, and thus formulate more reasonable resource allocation and intervention strategies.

The invention discloses a health risk dynamic assessment and early warning method and system for old people groups, and relates to the field of health risk assessment of old people groups, and the method comprises the steps: comparing first health detection data with a preset chronic disease diagnosis standard, and building a hierarchical initial health file according to a comparison result; acquiring symptom description information, treatment condition information and detection data fed back by the elderly individuals; extracting stage health features; constructing an old people health fault tree knowledge graph; calculating the probability of occurrence of the health endpoint event of the elderly individual, and identifying a key risk conduction path causing increase of the probability; generating differentiated early warning information and intervention suggestions; and optimizing and adjusting the logic gate weight in the fault tree knowledge graph. The method has the advantages that the senile health fault tree knowledge graph is constructed, expert knowledge in the field of senile medicine is converted into a computable risk conduction logic model, and interpretable early warning and accurate traceability of senile health risks are achieved.

The application relates to the technical field of artificial intelligence, can be applied to the field of digital medicine, and discloses an old population disease monitoring method and device, an electronic device and a storage medium. The method comprises the following steps: synchronously collecting physiological data, behavior data and environment data of a target old population; performing data cleaning processing and feature extraction on the collected data at an edge end to obtain multi-modal fusion features; inputting the multi-modal fusion features into a preset personalized health baseline model to perform real-time evaluation on the health risk of the target old population, so as to generate a risk evaluation result; triggering a corresponding early warning mechanism according to a risk level corresponding to the risk evaluation result; based on a warning triggering result, corresponding risk data is pushed to a family end, a community end and a hospital end through a preset standardized data interface, and corresponding risk intervention progress data and risk intervention result data are received. The method improves the comprehensiveness, safety and collaboration of old population disease monitoring.

1. The name of the design product: Sarcopenia evaluation trolley. 2. The use of the design product: for the evaluation and diagnosis of sarcopenia in the elderly population. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view. 5. The bottom surface of the design product is the part that is not easy to see or cannot be seen during use, and the top view is omitted.