8742 results about "Nursing" patented technology

The invention relates to the technical field of traditional Chinese medicine acupuncture and moxibustion teaching, in particular to a multi-view fused traditional Chinese medicine acupuncture and moxibustion visual teaching system which comprises a basic data construction module, an immersive environment building module, a multi-view interactive teaching module, a collaborative annotation conflict processing module, an annotation result auditing module and a model and data optimization module. Compared with the prior art, the traditional Chinese medicine acupuncture and moxibustion visual teaching method has the advantages that a new traditional Chinese medicine acupuncture and moxibustion visual teaching paradigm of data-driven cognition, interactive verification logic and intelligent optimization iteration is constructed through a closed loop of'problem definition-technical breakthrough-effect guidance ', space and modal limitations of traditional teaching are broken through, and the traditional Chinese medicine acupuncture and moxibustion visual teaching method is suitable for popularization and application. In addition, deep fusion of traditional Chinese medicine inheritance and modern medical education is achieved, and a reproducible digital solution is provided for standardized and precise acupuncture and moxibustion teaching.

The invention belongs to the technical field of image analysis, and discloses an old people health state prediction and alarm method based on AI image analysis, and the method comprises the steps: obtaining a depth image, a color image and a pressure image of an activity environment of old people, carrying out the combined analysis of the depth image and the pressure image, recognizing a terrain semantic region in a monitoring region, and carrying out the prediction of the health state of the old people; and carrying out dynamic segmentation on the gait contour of the old people. And the terrain gait coupling degree is calculated by analyzing the depth change characteristics and the motion period characteristics of the gait sub-regions, so that the abnormal gait sub-regions are screened out. And for the abnormal regions, the terrain gait coupling degree, the dynamic texture features of the color image and the pressure distribution features of the pressure image are fused, and a cross-modal health risk vector is constructed. Based on the vector, the health state of the old people is accurately predicted, and a corresponding alarm signal is generated. According to the invention, precise evaluation and timely early warning of the health state of the old people are realized, and intelligent guarantee is provided for the home safety of the old people.

The invention discloses a cross-regional cross-mechanism health medical data security sharing method based on a block chain, and relates to the technical field of data security, and the method comprises the steps: 1, carrying out the content balance fragmentation of an electronic health record, and obtaining a plurality of content fragments, encrypting each content fragment by using a random salt value generated by the head hash value of the previous height block to obtain a salt-added ciphertext fragment; 2, calculating a hash sequence for all salted ciphertext fragments of the same patient and generating a Merkel root; 3, when the external medical institution makes an access application, the chain smart contract compares the identity code set of the applied external medical institution with the patient agreement white list; and when an agreement threshold value set by the patient is met, generating and verifying an access authorization token by adopting a signature mechanism, and writing an authorization result into a block chain auditing side chain. According to the method, the problems of low data sharing efficiency, high trust dependence, difficulty in auditing and the like in a traditional mode are solved.

A method and a Large Language Model (LLM) evaluation system provides an end-to-end evaluation of LLM, which includes evaluating both input prompts and output prompt responses, wherein the evaluation includes assessing a plurality of input and output characteristics that encompasses both quality and quantity. Each of the plurality of input characteristics are assigned with a corresponding normalized score by employing one or more statistical techniques to derive a composite health score for the input prompts. Evaluation further comprises evaluating output prompt responses in both absence and presence of the ground truth. Upon evaluating both input prompts and output prompt responses, a final aggregated health score for the LLM is computed by a scorer module employing threshold based statistical techniques that considers input prompt health and output prompt response health, wherein the aggregated health score is generated based on the granular scores of each characteristic.

Devices, systems, methods, and software for providing remote medical diagnosis and therapy to a subject comprising: a module for conducting telecommunications with a telemedicalist; a module for applying a diagnostic or a therapeutic analysis; an apparatus for dispensing one or more medical items from an inventory of medical items, the inventory of medical items risk profiled to a subject, a population, a venue, or a situation; and optionally, a biosensor apparatus.

The invention relates to the technical field of target identification, in particular to an emergency care unit target identification method and system based on the Internet of Things. The method comprises the following steps: collecting a video stream in an emergency care unit at a fixed frame rate through a camera, and extracting an image frame; performing real-time target detection on each frame in the image frames by adopting a YOLOv7 model, identifying a target patient, associating targets in continuous frames of the video stream through a DeepSORT algorithm, tracking the position of the target patient in combination with Kalman filtering, and constructing a four-dimensional space-time-semantic collaborative cost matrix for optimization in the process of tracking the position of the target patient; and analyzing the action sequence of the target patient in the video stream through the 3D CNN, and judging abnormity in combination with the physiological data of the target patient. According to the design of the invention, a cross-frame attention mechanism and a feature fusion strategy guided by shielding density are introduced, and the detection capability of a moving target in a complex scene is enhanced in a YOLOv7 model.

The invention discloses a multidisciplinary combined diagnosis and treatment method and system, relates to the technical field of intelligent medical systems, and solves the problems that traditional manual consultation is low in efficiency and is greatly interfered by human factors, simple system recommendation is inaccurate, and diagnosis and treatment requirements of patients are difficult to meet. The method comprises the steps of generating a consultation scheme based on a preset matching degree standard, an illness condition and a diagnosis and treatment specification, triggering a payment process after system compliance verification, and locking consultation resources after payment succeeds; according to the illness state emergency degree of the patient, expert scheduling information and hospital resource occupation condition, intelligent scheduling is carried out to generate a consultation time arrangement, and meanwhile, consultation invitation and detailed information are sent to related experts; and after the consultation is finished, the system arranges text records, fuses expert opinions, generates a structured consultation report and pushes the structured consultation report to a patient end. The method has the advantages that intelligent management of multidisciplinary joint diagnosis and treatment is achieved, medical resource configuration is optimized, diagnosis and treatment efficiency and accuracy are improved, and medical experience of patients is improved.

The invention relates to the technical field of natural language processing and medical treatment, can be applied to scenes of daily music creation, psychological medical treatment and the like, and discloses a knowledge graph-based music generation method, device and equipment and a medium, and the method comprises the steps: obtaining demand information, analyzing the demand information according to a preset knowledge graph to construct knowledge connotation mapping, generating a music constraint condition according to the knowledge connotation mapping; generating melody, rhythm and harmony based on the music constraint conditions; and performing music fusion on the melody, the rhythm and the harmony to generate a target music work. Music can be automatically generated, and the creation requirement of a user for a specific music type is met.

The invention relates to the technical field of intelligent health, and discloses an intelligent health middle-aged and elderly people behavior data real-time monitoring and analysis method and system, and the method comprises the steps: collecting a biological resonance signal, a gas spectrum and a sound wave signal of middle-aged and elderly people; constructing a resonance characteristic spectrum of the middle-aged and elderly people, and analyzing physiological feedback characteristics of the middle-aged and elderly people by using the resonance characteristic spectrum; constructing an odor-behavior association map of the middle-aged and elderly people, and identifying gas feedback characteristics of the middle-aged and elderly people by using the odor-behavior association map; performing frequency domain decomposition on the sound wave signal to obtain an infrasonic frequency band and an ultrasonic frequency band, identifying internal organ vibration characteristics and body surface action characteristics of the middle-aged and elderly people, and analyzing voiceprint feedback characteristics of the middle-aged and elderly people; the physiological feedback features, the gas feedback features and the voiceprint feedback features are used for conducting behavior analysis on the middle-aged and elderly people, and a behavior monitoring report is obtained. The method can improve the reliability of behavior abnormality analysis of the elderly in smart health.

Some embodiments relate to computerized methods and systems dedicated to automatic health risks stratification of large population of patients for determining a respective health risk of the patients in the population, which enables to identify patients that exhibit high risk of a medical-care event (e.g., hospitalization risk) and provide urgent interventions to avoid or reduce the likelihood of the occurrence of such an event.

The invention provides a home scene control method and device and a home equipment central control system. The method comprises the following steps: acquiring user data, environment data and home scene data of a target area; determining the target home scene as a to-be-triggered home scene under the condition that the environment data meets the triggering condition of the target home scene; under the condition that a plurality of to-be-triggered home scenes exist and the equipment control instructions of at least two to-be-triggered home scenes conflict, determining the plurality of to-be-triggered home scenes with the equipment control instruction conflicts as a conflicting home scene group, and determining priorities of the plurality of to-be-triggered home scenes of the conflicting home scene group according to the user data, and determining the to-be-triggered home scene with the highest priority in the conflicting home scene group and the to-be-triggered home scenes except the conflicting home scene group as the triggered home scenes, and sending the equipment control instructions of all the triggered home scenes to operate the corresponding triggered home scenes, thereby solving the problem of multi-home scene loading instruction conflicts.

The invention discloses a whole course follow-up visit management system for gynaecology and obstetrics patients, and belongs to the technical field of follow-up visit management. Comprising a patient full-period health archive management module, an intelligent personalized follow-up visit planning module, a dynamic risk assessment module, a health monitoring and early warning module, a personalized health guidance module, a remote intelligent monitoring emergency intervention module and a doctor-patient interaction remote cooperation module. The non-tampering and traceability of data are realized, unstructured data are converted into structured fields through natural language processing, the data utilization rate is improved, the block chain is encrypted through a national cryptographic algorithm, IPFS distributed storage and intelligent contract authority management are realized, a patient can authorize a medical institution to access data through a digital identity label, cross-institution seamless circulation is realized, and the medical institution can access to the medical institution. The repeated examination rate is obviously reduced, and the medical efficiency and the data security are improved.

Disclosed herein are medical devices, uses thereof, methods of manufacture, and kits comprising medical devices. Also disclosed herein are uses of medical devices. For example, medical devices are used to produced biophotons for biophoton therapy. Also disclosed herein is the administration of biophoton therapy for the treatment of diseases and conditions in a subject in need thereof.

The invention belongs to the technical field of hospital management, and discloses a hospital intelligent space management system and method, and the system comprises a space sensing module, a data processing and analysis module, an intelligent decision module, an execution module, and a user interaction module. The spatial sensing module is used for collecting hospital spatial data in real time and transmitting the hospital spatial data to the data processing and analyzing module through an Internet of Things communication protocol; the data processing and analyzing module is used for processing, classifying, storing and deeply analyzing the hospital spatial data and extracting key feature indexes; the intelligent decision module is used for generating a space management strategy by applying an artificial intelligence algorithm according to the key feature indexes and the management targets; the execution module is used for receiving the space management strategy and controlling automatic equipment and a system to adjust the hospital space; and the user interaction module is used for realizing bidirectional information transmission and supporting a user feedback optimization system. The invention aims to optimize the utilization and management of the hospital space through an intelligent means, and improve the operation efficiency and service quality of the hospital.

The present application provides a comprehensive approach to improving cardiometabolic health and fitness through assessing key current health and fitness metrics, testing, and assignment of appropriate movement protocols that are specific to the needs of the individual. The present application provides a unified system for cardiometabolic health testing, activity and exercise monitoring, and user education and engagement. This platform may also be useful for the management of current health dysfunction and for the prevention of disease.

A bridge health state monitoring apparatus, which relates to the field of bridge monitoring. The bridge health state monitoring apparatus comprises: a data collection unit (1), a positioning antenna (2), an industrial switch (4), an intelligent video analysis unit (5), a vibration sensor (6) and a central platform (9). The data collection unit (1) is used for collecting information of a vehicle passing through a bridge, in order to obtain a video bitstream, and sending the video bitstream to the intelligent video analysis unit (5); the positioning antenna (2) is used for receiving position information provided by a satellite to locate the position of a bridge section and the position of the data collection unit (1); the vibration sensor (6) is used for detecting a vibration signal generated when the vehicle passes through the bridge section, and sending the vibration signal to the intelligent video analysis unit (5); the intelligent video analysis unit (5) is used for parsing the video bitstream and the vibration signal, and sending the parsed video bitstream and the parsed vibration signal to the central platform (9); and the central platform (9) is used for receiving, storing and presenting vibration data information of each section of the bridge, and is further used for storing the video bitstream. The bridge health state monitoring apparatus can accurately reflect the health state of bridges. Further provided is a bridge health state monitoring method.

The invention relates to the field of health data processing, and particularly discloses a virtual reality-driven children tic disorder multi-modal data evaluation and intervention system, which comprises a data acquisition and evaluation module, a data processing module, a data processing module and a data processing module, a professional evaluation scale and an algorithm are adopted to comprehensively evaluate the severity, psychological tolerance and social adaptability of the tourette syndrome of children to obtain an evaluation result; a scene generation and sorting module which is connected with the data acquisition and evaluation module, generates diversified virtual reality scenes according to the evaluation result, carries out the intelligent sorting of the scenes according to a difficulty gradual increase principle, and builds a high-authenticity scene through a high-precision modeling technology; and the interaction control and behavior guide module is used for realizing interaction between the child and the virtual reality scene. By adopting the technical scheme of the invention, personalized evaluation and immersive scene experience can be realized, and intelligent intervention and feedback can be realized.

The invention relates to a smart hospital collaborative diagnosis and treatment management method and system, and the method comprises the steps: receiving the appointment registration information of a patient, building a data mapping relation with a hospital information system based on the appointment registration information, and generating a corresponding treatment identifier; after the patient arrives at the hospital, information of the sign-in patient is collected, a sign-in sequence is established, and according to appointment registration information and diagnosis and treatment service data parameters corresponding to the sign-in patient, a treatment serial number is dynamically distributed and a waiting prompt is pushed; after the doctor receives the diagnosis, generating an examination item list based on the preliminary diagnosis information input by the doctor, obtaining the real-time state and queuing data of equipment required by each examination in the examination item list, constructing an execution time window of examination items, generating an optimal examination sequence, and pushing an examination guide path to the patient terminal; and after the patient finishes seeing a doctor, generating a personalized propaganda and education task list according to the diagnosis and treatment information of each stage, and pushing the personalized propaganda and education task list to the patient terminal. The method has the effect of improving the hospital operation efficiency.

To reduce the work burden on medical workers in creating medical documents.SOLUTION: An information processing system for supporting creation of medical documents includes a data acquisition unit and a medical document generation unit. The data acquisition unit is configured to obtain conversation data and medical data. The conversation data includes the content of a conversation between a medical worker and a patient. The medical data includes medicine data. The medicine data includes new medicine data and old medicine data. The new medicine data corresponds to the conversation of the conversation data. The old medicine data is data older than the new medicine data. The medical document generation unit is configured to generate the medical document based on the conversation data and the medicine data.SELECTED DRAWING: Figure 1

The invention provides a memory management method and a storage device. The method comprises the following steps: evaluating the health degree of a first entity unit in a storage device to obtain a health degree evaluation value; in response to a data reading event for the first entity unit, determining whether the health degree evaluation value meets a preset condition or not; if the health degree evaluation value meets a preset condition, performing a conventional reading operation on the first entity unit based on a preset reading voltage so as to respond to a data reading event; and if the health degree evaluation value does not meet a preset condition, under the condition that a conventional reading operation is not executed on the first entity unit, executing a rereading operation on the first entity unit based on at least one rereading voltage to respond to a data reading event, and the preset reading voltage is different from the rereading voltage. Therefore, the access efficiency of the storage device can be improved.

The invention relates to the technical field of image segmentation, in particular to an intensive care unit video image processing method based on image semantic segmentation, which comprises the following steps of: acquiring a video image through monitoring camera shooting, dividing a semantic region, calculating a pixel displacement direction of each part, identifying an abnormal track, erasing interference, recombining a boundary contour, and comparing shape change. And constructing a trend and re-drawing a structure, evaluating stability in combination with directions, speeds and amplitudes, screening and correcting inconsistent labels, and outputting an index result. According to the method, track features are constructed by introducing pixel direction coding, a deviation region is identified and interference is eliminated in combination with a direction change trend, an edge structure is reconstructed by using a boundary connection sequence and curve fitting, contour division is optimized through deformation direction consistency, and labels are corrected by synthesizing direction change and boundary speed. Dynamic tracking and accurate labeling of the patient state are achieved, the abnormal action recognition efficiency and the label updating accuracy are improved, and the time sequence integrity and the space expression ability of image data are enhanced.

A hospital quality abstraction is automatically generated from health records. In some examples, a large language model (LLM) is queried with prompts selected to elicit data to generate a hospital quality abstraction report. The LLM outputs are combined with patient data from health records to improve the accuracy of the responses to the LLM queries. These methods and systems may improve the operation of the LLM, which is deeply needed particularly for healthcare.

A child restraint includes a seat shell formed to include a child-receiving space configured to receive a child therein. The child restraint includes a child harness coupled to the seat shell and including a first harness strap and a second harness strap configured to secure the child to the seat shell within the child-receiving space. The child restraint includes a harness retainer coupled to the first harness strap and the second harness strap and configured to guide attachment of the child harness to the child to block separation of the child harness from the child.

The invention relates to the technical field of medical report generation, in particular to an intelligent anesthesia record sheet automatic generation system. According to the system, patient information is automatically recognized through the OCR unit, and real-time collection and structured storage of physical sign data, medication records and surgical operation are achieved in combination with a medical equipment interface and a voice recognition technology; time sequence data analysis and multi-source data fusion modeling are adopted to construct a medical event causal relationship graph so as to improve the accuracy of anomaly recognition and patient sign evaluation; based on a time axis construction unit and a structured template engine, an anesthesia record list is automatically analyzed and filled, and the manual input workload is greatly reduced; and finally, in combination with block chain evidence storage and a multi-level encryption technology, the security and non-tampering property of the anesthesia record list are ensured, the reliability of medical data management is improved, the recording, monitoring and storage efficiency of the anesthesia process is comprehensively optimized, and the medical quality and the patient safety are improved.

The invention relates to the technical field of medical care informatics, in particular to a hospital consumable usage supervision system and method, and the method comprises the steps: obtaining related consumable data of each department of a hospital and patient treatment related data, and determining the basic consumable demand degree of each department through the analysis of the related consumable data; according to the change trend of the patient doctor-seeing related data in different periods, the doctor-seeing patient amount rising trend degree of each department in different periods is determined, and then the consumable use indirect influence degree of each department influenced by doctor-seeing loads of other departments is determined; and based on the doctor-seeing patient amount rising trend degree, the basic consumable demand degree and the consumable use indirect influence degree of each department in the current period, determining the consumable use permission degree of each department, and based on the consumable use permission degree, judging whether to carry out consumable abnormality early warning or not. According to the method, the consumable use permission of each department is determined in a self-adaptive manner, so that the hospital consumable use supervision accuracy is effectively improved.

According to the clinical nutrition intelligent management system and method disclosed by the invention, nutrition status evaluation is carried out by applying a nutrition comprehensive evaluation formula, the standardization and objectivity of evaluation are greatly improved, the formula quantifies multiple key factors and gives weights, different evaluators carry out calculation based on the same information and formula, and the consistency of evaluation results is ensured; besides, the comprehensive nutrition evaluation formula comprehensively considers the body mass index, the disease-related nutrition influence coefficient, the nutrition-related index comprehensive score, the diet health degree score and other aspects adjusted by age and gender, accurately reflects the actual nutrition condition of the patient, and solves the problem of insufficient accuracy of traditional evaluation. And the nutrition plan generation module can customize nutrition plans for patients according to the nutrition comprehensive evaluation indexes in combination with a preset rule base, so that individual requirements of different patients are fully met, and a scientific, accurate and personalized solution is provided for clinical nutrition management.

The disclosed technology includes a donation kiosk comprising a microphone; a speaker; an input device configured to receive donation information; a user interface; one or more processors; and a memory storing instructions. The instructions, when executed by the one or more processors, are configured to cause the donation kiosk to determine whether to operate in an emergency mode. In response to determining that the donation kiosk should operate in the emergency mode, the instructions can cause the donation kiosk to display an emergency call option on the user interface. In response to the emergency call option being selected, the instructions can further cause the donation kiosk to facilitate communication with an emergency service via the microphone and speaker.

The present invention belongs to the technical field of medical health, and particularly relates to an individualized evaluation system based on patient health status. The individualized evaluation system comprises a data collection module, a data processing and cleaning module, a health condition evaluation module, a report generation module, a decision recommendation module, a privacy security protection module and a user interaction feedback module. By providing a data collection module and a data processing and cleaning module, the system collects various types of data of patients and converts the collected data into a unified format, identifies and corrects errors or unreasonable data values, and uses a statistical method or other techniques to supplement missing data points, thereby ensuring the integrity of data and guaranteeing the accuracy of an evaluation result, such that the health conditions of the patients can be better evaluated, and corresponding recovery plans are formulated according to different conditions, which is more beneficial for the rehabilitation of patients.